Aims. Postoperative length of stay (LOS) and discharge dispositions following arthroplasty can be used as surrogate measurements for improvements in patients’ pathways and costs. With the increasing use of robotic technology in arthroplasty, it is important to assess its impact on LOS. The aim of this study was to identify factors associated with decreased LOS following robotic arm-assisted total hip arthroplasty (RO THA) compared with the conventional technique (CO THA). Methods. This large-scale, single-institution study included 1,607 patients of any age who underwent 1,732 primary THAs for any indication between May 2019 and January 2023. The data which were collected included the demographics of the patients, LOS, type of anaesthetic, the need for treatment in a post-anaesthesia care unit (PACU), readmission within 30 days, and discharge disposition. Univariate and multivariate logistic regression models were used to identify factors and the characteristics of patients which were associated with delayed discharge. Results. The multivariate model identified that age, female sex, admission into a PACU, American Society of Anesthesiologists grade > II, and CO THA were associated with a significantly higher risk of a LOS of > two days. The median LOS was 54 hours (interquartile range (IQR) 34 to 78) in the RO THA group compared with 60 hours (IQR 51 to 100) in the CO THA group (p < 0.001). The discharge dispositions were comparable between the two groups. A higher proportion of patients undergoing CO THA required PACU admission postoperatively, although without reaching statistical significance (7.2% vs 5.2%, p = 0.238). Conclusion. We found that among other baseline characteristics and comorbidities, RO THA was associated with a significantly shorter LOS, with no difference in discharge destination. With the increasing demand for THA, these findings suggest that robotic assistance in THA could reduce costs. However, randomized controlled trials are required to investigate the cost-effectiveness of this technology. Cite this article: Bone Joint J 2024;106-B(3 Supple A):24–30

Aims. Day-case arthroplasty is gaining popularity in Europe. We report outcomes from the first 12 months following implementation of a day-case pathway for unicompartmental knee arthroplasty (UKA) and total hip arthroplasty (THA) in an NHS hospital. Methods. A total of 47 total hip arthroplasty (THA) and 24 unicompartmental knee arthroplasty (UKA) patients were selected for the day-case arthroplasty pathway, based on preoperative fitness and agreement to participate. Data were likewise collected for a matched control group (n = 58) who followed the standard pathway three months prior to the implementation of the day-case pathway. We report same-day discharge (SDD) success, reasons for delayed discharge, and patient-reported outcomes. Overall length of stay (LOS) for all lower limb arthroplasty was recorded to determine the wider impact of implementing a day-case pathway. Results. Patients on the day-case pathway achieved SDD in 47% (22/47) of THAs and 67% (16/24) of UKAs. The most common reasons for failed SDD were nausea, hypotension, and pain, which were strongly associated with the use of fentanyl in the spinal anaesthetic. Complications and patient-reported outcomes were not significantly different between groups. Following the introduction of the day-case pathway, the mean LOS reduced significantly by 0.7, 0.6, and 0.5 days respectively in THA, UKA, and total knee arthroplasty cases (p < 0.001). Conclusion. Day-case pathways are feasible in an NHS set-up with only small changes required. We do not recommend fentanyl in the spinal anaesthetic for day-case patients. An important benefit seen in our unit is the so-called ‘day-case effect’, with a significant reduction in mean LOS seen across all lower limb arthroplasty. Cite this article: Bone Jt Open 2021;2(11):900–908

Aims. The aim of this study is to assess the impact of a pilot enhanced recovery after surgery (ERAS) programme on length of stay (LOS) and post-discharge resource usage via service evaluation and cost analysis. Methods. Between May and December 2019, 100 patients requiring hip or knee arthroplasty were enrolled with the intention that each would have a preadmission discharge plan, a preoperative education class with nominated helper, a day of surgery admission and mobilization, a day one discharge, and access to a 24/7 dedicated helpline. Each was matched with a patient under the pre-existing pathway from the previous year. Results. Mean LOS for ERAS patients was 1.59 days (95% confidence interval (CI) 1.14 to 2.04), significantly less than that of the matched cohort (3.01 days; 95% CI 2.56 to 3.46). There were no significant differences in readmission rates for ERAS patients at both 30 and 90 days (six vs four readmissions at 30 days, and nine vs four at 90 days). Despite matching, there were significantly more American Society of Anesthesiologists (ASA) grade 3 patients in the ERAS cohort. There was a mean cost saving of £757.26 (95% CI £-1,200.96 to £-313.56) per patient. This is despite small increases in postoperative resource usage in the ERAS patients. Conclusion. ERAS represents a safe and effective means of reducing LOS in primary joint arthroplasty patients. Implementation of ERAS principles has potential financial savings and could increase patient throughput without compromising care. In elective care, a preadmission discharge plan is key. Cite this article: Bone Jt Open 2021;2(11):966–973

Aims. In-hospital length of stay (LOS) and discharge dispositions following arthroplasty could act as surrogate measures for improvement in patient pathways, and have major cost saving implications for healthcare providers. With the ever-growing adoption of robotic technology in arthroplasty, it is imperative to evaluate its impact on LOS. The objectives of this study were to compare LOS and discharge dispositions following robotic arm-assisted total knee arthroplasty (RO TKA) and unicompartmental arthroplasty (RO UKA) versus conventional technique (CO TKA and UKA). Methods. This large-scale, single-institution study included patients of any age undergoing primary TKA (n = 1,375) or UKA (n = 337) for any cause between May 2019 and January 2023. Data extracted included patient demographics, LOS, need for post anaesthesia care unit (PACU) admission, anaesthesia type, readmission within 30 days, and discharge dispositions. Univariate and multivariate logistic regression models were also employed to identify factors and patient characteristics related to delayed discharge. Results. The median LOS in the RO TKA group was 76 hours (interquartile range (IQR) 54 to 104) versus 82.5 (IQR 58 to 127) in the CO TKA group (p < 0.001) and 54 hours (IQR 34 to 77) in the RO UKA versus 58 (IQR 35 to 81) in the CO UKA (p = 0.031). Discharge dispositions were comparable between the two groups. A higher percentage of patients undergoing CO TKA required PACU admission (8% vs 5.2%; p = 0.040). Conclusion. Our study showed that robotic arm assistance was associated with a shorter LOS in patients undergoing primary UKA and TKA, and no difference in the discharge destinations. Our results suggest that robotic arm assistance could be advantageous in partly addressing the upsurge of knee arthroplasty procedures and the concomitant healthcare burden; however, this needs to be corroborated by long-term cost-effectiveness analyses and data from randomized controlled studies. Cite this article: Bone Jt Open 2023;4(10):791–800

Aims. In countries with social healthcare systems, such as Canada, patients may experience long wait times and a decline in their health status prior to their operation. The aim of this study is to explore the association between long preoperative wait times (WT) and acute hospital length of stay (LoS) for primary arthroplasty of the knee and hip. Methods. The study population was obtained from the provincial Patient Access Registry Nova Scotia (PARNS) and the Canadian national hospital Discharge Access Database (DAD). We included primary total knee and hip arthroplasties (TKA, THA) between 2011 and 2017. Patients waiting longer than the recommended 180 days Canadian national standard were compared to patients waiting equal or less than the standard WT. The primary outcome measure was acute LoS postoperatively. Secondarily, patient demographics, comorbidities, and perioperative parameters were correlated with LoS with multivariate regression. Results. A total of 11,833 TKAs and 6,627 THAs were included in the study. Mean WT for TKA was 348 days (1 to 3,605) with mean LoS of 3.6 days (1 to 98). Mean WT for THA was 267 days (1 to 2,015) with mean LoS of 4.0 days (1 to 143). There was a significant increase in mean LoS for TKA waiting longer than 180 days (2.5% (SE 1.1); p = 0.028). There was no significant association for THA. Age, sex, surgical year, admittance from home, rural residence, household income, hospital facility, the need for blood transfusion, and comorbidities were all found to influence LoS. Conclusion. Surgical WT longer than 180 days resulted in increased acute LoS for primary TKA. Meeting a shorter WT target may be cost-saving in a social healthcare system by having shorter LoS. Cite this article: Bone Jt Open 2021;2(8):679–684

Abstract. Background. The European population is consistently getting older and this trend is expected to continue with fastest rise seen in those over 85 years old. As a consequence there will be more nonagenarians (over 90 years old) having lower limb arthroplasty. Objectives. To compare the length of stay, readmission and one year mortality between nonagenarians and people aged between 70 to 80 years after having lower limb arthroplasty. Methods. Retrospective review of patients electronic records over 90 years following total knee replacement (TKR) or total hip replacement (THR). The length of stay after surgery, 30 day readmission rate and one year mortality were compared with control group aged between 70 to 80 years who had lower limb arthroplasty during the same period. Results. There were 31 nonagenarians with mean age of 91.6 years and the control group consisted of 31 patients with the mean age of 74.6 years. The average length of stay was 5 days in the nonagenarians compared to 4 days in the younger group. There was no difference in the 1 year mortality. 30 day readmission's was 16% in the older cohort and 5% in the younger. There was an increase in trend of nonagenarians having lower limb arthroplasty over the years. Conclusions. There is increasing number of nonagenarians undergoing lower limb arthroplasty. Nonagenarians and those aged between 70 to 80 years have comparable length of stay and 1 year mortality but higher rate of readmissions after lower limb arthroplasty

Introduction. The enhanced recovery after surgery (ERAS) concept in arthroplasty surgery has led to a reduction in postoperative length of stay in recent years. Patients with prolonged length of stay (PLOS) add to the burden of a strained NHS. Our aim was to identify the main reasons. Methods. A PLOS was arbitrarily defined as an inpatient hospital stay of four days or longer from admission date. A total of 2,000 consecutive arthroplasty patients between September 2017 and July 2018 were reviewed. Of these, 1,878 patients were included after exclusion criteria were applied. Notes for 524 PLOS patients were audited to determine predominant reasons for PLOS. Results. The mean total length of stay was 4 days (1 to 42). The top three reasons for PLOS were social services, day-before-surgery admission, and slow to mobilize. Social services accounted for 1,224 excess bed days, almost half (49.2%, 1,224/2,489) of the sum of excess bed days. Conclusion. A preadmission discharge plan, plus day of surgery admission and mobilization on the day of surgery, would have the potential to significantly reduce length of stay without compromising patient care. Cite this article: Bone Joint Open 2020;1-8:488–493

Introduction. There is a drive to reduce length of stay in children undergoing limb reconstruction but a reduction in community physiotherapy input and a consequent pressure to ensure children are as independent as possible prior to discharge. This study aims to look at time taken and potential factors effecting the achievement of pre-set mobility goals and length of stay in this population. Materials and Methods. Between June 2018 and November 2021 data was collated for patients who underwent limb reconstruction at Great Ormond Street hospital. 77 patients were reviewed. Data collected included type and location of lengthening device and length of stay. A modified version of the Goal Attainment Score (GAS) was used and included 3 goals which the child needed to achieve within 7 days post-operatively. Results. All children achieved their goals within the 7 days. Length of stay with intramedullary devices was shorter than with external fixators (average of 5 vs 10 days). For children with frames, including the ankle significantly increased hospital stay, whereas inclusion of the knee had no significant effect, and. Bilateral frames were associated with a longer stay. Conclusions. The use of GAS with pre-defined clinically driven goals could be considered feasible within the limb reconstruction population and possibly used for other patient groups. This data may enable us to more accurately predict length of stay in patients undergoing limb reconstruction and will provide a baseline for future comparisons of different interventions in this patient group

Introduction. Adjusting an external fixator can be a daunting process for patients. Despite comprehensive training, patients often request supervision for the initial adjustments which may result in a prolonged hospital stay. Following the introduction of telemedicine during the pandemic we believed that this could be utilised to support patients with their fixator adjustments. A quality improvement project was implemented to assess and evaluate a change in practice from existing Face to Face support to a telemedicine format. The aim of the project was to reduce median length of stay (LOS). Materials & Methods. The telemedicine platform was introduced in our unit from April 2021 with the change in practice. Using the life QI platform, run charts were used to record the numbers of patients whose LOS was 4 days or less. Median LOS was assessed prior to and following introduction of the telemedicine platform. Service user experience with telemedicine as well as overall training and education by the CNS team was sought through on-line questionnaires. Results. Baseline data collected from April 2019 to April 2021 showed that our median LOS for patients undergoing external fixation was 6 days with 36% of patients being discharged at day 4 or earlier. After implementation of telemedicine, median LOS reduced to 4 days with 50% of patients leaving hospital in 4 days or less. Service user responses demonstrated that 100% felt that sufficient information was provided by the CNS team, a mean score of 8.4/10 was reported when asked how confident they were when adjusting the fixator. When asked how the service could be improved access to a recorded video was suggested. Conclusions. Initial fixator adjustment support via telemedicine is not appropriate for all of our patient group due to a lack of access or co-morbidities/ social issues that necessitate a prolonged hospital stay. However, this project has demonstrated that it has had positive long-term benefits within our service through reducing our median length of stay by 2 days without compromising patient satisfaction with their care

Aims. Elective orthopaedic services have had to adapt to significant system-wide pressures since the emergence of COVID-19 in December 2019. Length of stay is often recognized as a key marker of quality of care in patients undergoing arthroplasty. Expeditious discharge is key in establishing early rehabilitation and in reducing infection risk, both procedure-related and from COVID-19. The primary aim was to determine the effects of the COVID-19 pandemic length of stay following hip and knee arthroplasty at a high-volume, elective orthopaedic centre. Methods. A retrospective cohort study was performed. Patients undergoing primary or revision hip or knee arthroplasty over a six-month period, from 1 July to 31 December 2020, were compared to the same period in 2019 before the COVID-19 pandemic. Demographic data, American Society of Anesthesiologists (ASA) grade, wait to surgery, COVID-19 status, and length of hospital stay were recorded. Results. A total of 1,311 patients underwent hip or knee arthroplasty in the six-month period following recommencement of elective services in 2020 compared to 1,527 patients the year before. Waiting time to surgery increased in post-COVID-19 group (137 days vs 78; p < 0.001). Length of stay also significantly increased (0.49 days; p < 0.001) despite no difference in age or ASA grade. There were no cases of postoperative COVID-19 infection. Conclusion. Time to surgery and length of hospital stay were significantly higher following recommencement of elective orthopaedic services in the latter part of 2020 in comparison to a similar patient cohort from the year before. Longer waiting times may have contributed to the clinical and radiological deterioration of arthritis and general musculoskeletal conditioning, which may in turn have affected immediate postoperative rehabilitation and mobilization, as well as increasing hospital stay. Cite this article: Bone Jt Open 2021;2(8):655–660

Reduction of length of stay (LOS) without compromising quality of care is a trend observed in orthopaedic departments. To achieve this goal the pathway needs to be optimised. This requires team work than can be supported by e-health solutions. The objective of this study was to assess the impact of reduction in LOS on complications and readmissions in one hospital where accelerated discharge was introduced due to the pandemic. 317 patients with primary total hip and total knee replacements treated in the same hospital between October 2018 and February 2021 were included. The patients were divided in two groups: the pre-pandemic group and the pandemic group. The discharge criteria were: patient feels comfortable with going back home, patient has enough support at home, no wound leakage, and independence in activities of daily living. No face-to-face surgeon or nurse follow-up was planned. Patients’ progress was monitored via the mobile application. The patients received information, education materials, postoperative exercises and a coaching via secure chat. The length of stay (LOS) and complications were assessed through questions in the app and patients filled in standard PROMs preoperatively, at 6 weeks and 3 months. Before the pandemic, 64.8% of the patients spent 3 nights at hospital, whereas during the pandemic, 52.0% spent only 1 night. The median value changed from 3 days to 1 day. The complication rate before the pandemic of 15% dropped to 9 % during the pandemic. The readmission rate remained stable with 4% before the pandemic and 5 % during the pandemic. No difference were observed for PROMS between groups. The results of this study showed that after a hip and knee surgery, the shortening of the LOS from three to one night resulted in less complications and a stable rate of readmissions. These results are in line with literature data on enhanced recovery after hip and knee arthroplasty. The reduction of LOS for elective knee and hip arthroplasty during the pandemic period proved safe. The concept used in this study is transferable to other hospitals, and may have economic implications through reduced hospital costs

Early mobilization within the first 12 hours (day zero) of total joint arthroplasty (TJA) has been shown to reduce length of stay (LoS) without risking clinical outcomes, patient safety or satisfaction. The purpose of this study was to investigate associations between the degree of mobilization on day zero (i.e., standing at the bedside versus walking in the hallway) and LoS in TJA patients. In addition, we investigated predictors of LoS and day zero mobilization. A retrospective cohort study was undertaken of the health records of patients in a community hospital setting who had an elective unilateral primary TJA between June 2015 and May 2017 and had mobilized on day zero. The total sample was 283 patients (184 TKA and 99 THA) across four mobilization categories: Sat on beside (n = 76), Stood by bed/marched in place (n = 83), Walked in the room (n = 79), and Walked in hall (n = 45). Analysis of variance found no significant group differences in age, ASA score, Charlson Comorbidity Index score, anesthesia, surgeon, procedure type, pain medication, and patient reported symptoms recorded by physiotherapists. Significantly more women were in the Sat group and significantly more men were in the Hall group (p < .001). Patient reported symptoms of nausea and drowsiness were significantly greater for the Sat group (p < .001). LoS was also significantly different across the groups. Post hoc Tukey comparisons found the Walked Hall group had significantly shorter LoS (M = 2.7 days) than the Sat group (M = 3.9, p < .001), Stood group (M = 3.4, p = .011), and the Walked Room group (M = 3.5, p = .004). A hierarchical regression was performed to determine predictors of LoS. Block 1 consisted of demographic, medical status, and patient reported symptoms as variables. Mobilization was entered in Block 2. The first model was significant (p < .001) and explained 24% of variance in LoS. The final model was also significant (p < .001), accounting for a total of 26% of the variance in LoS. Thus, block 2 (i.e., mobilization) accounted for a small but significant 2% incremental variance (p = .008) beyond the block 1 variables in the prediction of LoS. With mobilization added, only male gender (p = .002), lower BMI (p = .026), and lower ASA scores (p = .006) remained significant predictors of shorter LoS, and the predictive ability of several of the block 1 variables were reduced to non-significant levels. A simultaneous regression model was then used to predict degree of mobilization. The model accounted for 24% of the variance in mobilization (p < .001). Variables significantly associated with a greater degree of mobilization included: younger age, male gender, lower BMI, and fewer symptoms, namely nausea, numbness, lightheadedness, and drowsiness. This study found length of stay was shorter when patients mobilized farther on the day of surgery. Some factors predictive of mobilization may be modifiable. Focusing on symptom management could increase opportunities for farther mobilization on the day of surgery, and thus decrease length of stay

We examined the effect of age, gender, body mass index (BMI), medical co-morbidity as represented by the American Society of Anaesthesiologists (ASA) grade, social deprivation, nursing practice, surgical approach, length of incision, type of prosthesis and duration of surgery on length of stay after primary total hip arthroplasty (THA). Data was collected on 675 consecutive patients in a regional orthopaedic centre in South West England. The length of stay varied from 2 to 196 days and was heavily skewed. Data were therefore analysed by non parametric methods. To permit comparison of short with protracted length of stay, data were arbitrarily reduced to 2 groups comprising 2 to 14 days for short stays and 15 to 196 for long. These data were analysed by Chi-squared and Fisher’s exact test in univariate and by Logistic regression for multivariate analysis. The mean length of stay was 11.4 days, an over-estimate compared to the median length of stay of 8 days which more correctly reflects the skewed nature of the distribution. 81.5% of patients left hospital within 2 weeks, 13.6% within 2 and 4 and 4.9% after 4. On univariate analysis age above 80 years, age between 70 and 79 years, Body Mass Index > 35, ASA grades 3 and 4, transgluteal approaches, long incisions, cemented cups and prolonged operations were associated with longer stays. On multivariate analysis, age above 80, age between 70 and 80, ASA grades 3 and 4, prolonged operations and long incisions were highly significantly associated with hospital stay of over 2 weeks. This is the first study to record all the published variables associated with length of stay prospectively and to subject the data to multivariate analysis. Prolonged stay after THA is pre-determined by case mix but slick surgery through limited incisions may reduce the length of admission

We examined the effect of age, gender, body mass index (BMI), medical comorbidity as represented by the American Society of Anaesthesiologists (ASA) grade, social deprivation, nursing practice, surgical approach, length of incision, type of prosthesis and duration of surgery on length of stay after primary total hip arthroplasty (THA). Data was collected on 675 consecutive patients in a regional orthopaedic centre in South West England. The length of stay varied from 2 to 196 days and was heavily skewed. Data were therefore analysed by non parametric methods. To permit comparison of short with protracted length of stay, data were arbitrarily reduced to 2 groups comprising 2 to 14 days for short stays and 15 to 196 for long. These data were analysed by Chi-squared and Fisher’s exact test in univarate and by Logistic regression for multivariate analysis. The mean length of stay was 11.4 days, an over-estimate compared to the median length of stay of 8 days which more correctly reflects the skewed nature of the distribution. 81.5% of patients left hospital within 2 weeks, 13.6% within 2 and 4 and 4.9% after 4. On univarate analysis age above 80 years, age between 70 and 79 years, Body Mass Index > 35, ASA grades 3 and 4, transgluteal approaches, long incisions, cemented cups and prolonged operations were associated with longer stays. On multivariate analysis, age above 80, age between 70 and 80, ASA grades 3 and 4, prolonged operations and long incisions were highly significantly associated with hospital stay of over 2 weeks. This is the first study to record all the published variables associated with length of stay prospectively and to subject the data to multivariate analysis. Prolonged stay after THA is pre-determined by case mix but slick surgery through limited incisions may reduce the length of admission

Recent studies have described safe outcomes for short-stays in the hospital after total shoulder arthroplasty. The purpose of this study is to identify pre-operative and operative risk factors for hospital admissions exceeding 24 hours. The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried from 2006 to 2016 for the current procedural terminology (CPT) billing code related to total shoulder arthroplasty. Patients were then grouped as either having a length of stay (LOS) equal to or less than 24 hours or greater than 24 hours. Patients admitted to the hospital prior to the day of surgery were excluded. Patient demographics, co-morbidities, and operative time were then analyzed as risk factors for a hospital stay exceeding 24 hours. Pre-operative co-morbidities included body mass index (BMI), diabetes, smoking, chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), hypertension, dialysis, chronic steroid or immunosuppressant use, bleeding disorders, and American Society of Anesthesiologists (ASA) Classification. Univariate and multivariate analyses were then performed to identify risk factors associated with 30-day readmission. 14,339 patients met inclusion criteria and 6,507 (45.3%) had a hospital LOS less than or equal to 24 hours. The mean length of hospitalization was 1.95 ± 1.88 days, the average age was 69 ± 9.7 years old, and 56.9% of the patients were female. Following a risk adjusted multivariate analysis, increasing age (odds ratio [OR], 1.03, 95% confidence interval [CI], 1.02–1.03), ASA classification (OR, 1.50, 95% CI, 1.41–1.60), diabetes (OR, 1.69, 95% CI, 1.43–1.99), COPD (OR, 1.35, 95% CI, 1.16–1.57), CHF (OR, 2.67, 95% CI, 1.34–5.33), dialysis (OR, 2.47, 95% CI, 1.28, 4.77), history of a bleeding disorder (OR, 1.50, 95% CI, 1.20–1.88), or increasing operative time (OR, 1.01, 95% CI, 1.01–1.01) were identified as independent risk factors for hospital lengths of stay exceeding 24 hours. Male gender was identified as a protective factor for prolonged hospitalization (OR, 0.50, 95% CI, 0.46–0.53). This study identifies patient demographics, co-morbidities, and operative-relative risk factors that are associated with increased risk for a prolonged hospitalization following total shoulder arthroplasty. Female gender, increasing age, ASA classification, operative time, or a history of diabetes, COPD, CHF, or history of a bleeding disorder are risk factors hospitalizations exceeding 24 hours

Provision of prehabilitation prior to total knee arthroplasty (TKA) through a digital mobile application is a novel concept. Our research evaluates a resource effective and cost effective method of delivering prehabilitation. The primary aim of our research is to determine whether provision of prehabilitation through a mobile digital application impacts inpatient LOS after TKA. The secondary objective is to understand the effect of digital prehabilitation on hospital costs. An observational, retrospective analysis was performed on a consecutive case series of 64 patients who underwent TKA by a single surgeon over a 21 month period. Exercise provision varied from 3 months to 2 weeks prior to TKA. The outcomes of rehabilitation length of stay, total length of stay and total hospital costs were statistically significantly at p=0.5. The rehabilitation length of stay was 3.79 days in the experimental and 7.33 days in the control group (p = 0.045), the total length of stay was 12.00 days in the control and 8.04 days in the experimental group (p=0.03) and the total cost of the hospital stay was $6357.35AUD for the control and $4343.22AUD for the experimental group (p=0.029). Our research shows a cost saving with this intervention, as measured by a reduction in rehabilitation length of stay. To our knowledge, this is the first piece of research that analyses the impact of the use of a digital mobile application providing prehabilitation prior to TKA

This study was designed to compare length of hospital stay, and 30-day major and minor complications between patients undergoing total knee arthroplasty (TKA) with general anesthesia, to those undergoing TKA with spinal or epidural anesthesia with or without regional nerve blocks. Patients 18 years and older undergoing TKA between the years of 2005 and 2016 were identified from the American College of Surgeons National Surgical Quality Improvement Program (NSQIP). Patient demographics, anesthesia type, length of operation and hospital stay, as well as 30-day major and minor complications were collected from the database. Patients with “primary anesthesia technique” codes for either spinal or epidural anesthesia along with “other anesthesia technique” codes for regional anesthesia were assumed to have been given a regional nerve block. Chi square tests, and analysis of variance were utilized to evaluate unadjusted differences in demographics and outcomes between anesthesia types. Multivariable regression was utilized to compare outcomes (length of stay and complications) between anesthesia types, while adjusting for age, American Society of Anesthesiologist (ASA) class, comorbidities, sex, steroid/immunosuppressant use, body mass index (BMI), diabetes, length of operation and smoking status. A total of 214,665 TKA patients were identified (average age 67 ± 10 years). Of these, 257 (0.12%) underwent epidural anesthesia with a nerve block (EB), while 2,318 (1.08%) underwent epidural anesthesia with no block (E), 14,468 (1.08%) underwent spinal anesthesia with a block (SB), and 85,243 (39.7%) underwent spinal anesthesia with no block (S), and 112,377 (52.4%) underwent general anesthesia (G). The unadjusted length of stay (LOS) was significantly longer in the E group (3.67 ± 5 days) compared to the G group (3.1 ± 3.9 days), while the unadjusted LOS was significantly shorter in the EB group (2.6 ± 1.2), and both SB and S groups (2.6 ± 3 and 2.9 ± 3, respectively), compared to the G group p < 0 .001. Following covariable adjustment, anesthesia type remained an independent predictor of length of stay. Compared to the G group, patients in the E group stayed 0.56 days longer (95% Confidence interval [95%CI] 0.42 – 0.71 days), while patients in the SB were discharged 0.28 days (95%CI 0.21 – 0.35 days) earlier, and those in the S group were discharged 0.06 days earlier (95%CI 0.02–0.09), (p < 0 .0001). While the unadjusted rates of major complications were not significantly different between groups, the unadjusted rates of minor complications were higher in the E, EB, and G groups compared to the S and SB groups. Following covariable adjustment, there were no differences between groups in the risk of minor complications. In conclusion, these data indicate that anesthesia type following TKA is associated with length of hospital stay, but not with 30-day complications. After adjusting for relevant covariables, patients who received epidural anesthesia without a nerve block for TKA were discharged later, while patients who received spinal anesthesia, both with and without a nerve block for TKA were discharged earlier, compared to patients who received general anesthesia for TKA

Background. The ability to identify those at risk for longer inpatient stay helps providers with postoperative planning and patient expectations. Decreasing length of stay in the future will be determined by appropriate patient selection, risk stratification, and pre-operative patient optimization. The purpose of this study was to identify factors that place patients at risk for extended postoperative lengths of stay. Methods. The prospective study cohort included 2009 primary total knee arthroplasty (TKA) patients and 905 total hip arthroplasty (THA) patients. Patient comorbidities were prospectively identified and the length of stay for each patient was tracked following a primary arthroplasty. Statistical analysis was performed to correlate which comorbidities were associated with longer inpatient stays. Results. In the TKA population, gender, smoking status, venous thromboembolism history, body mass index and diabetes status were not found to be a significant predictors for length of stay. Age was found to be a factor in univariate regression testing (P<0.001). In the THA population, univariate testing showed female gender (P<0.001), smoking status (P=0.002), and age (p<0.001) to be factors, but like the TKA population venous thromboembolism history or diabetes status were not significant. In THA multivariate analysis, age (p<0.001) and female gender (p=0.018) continued to be factors, but smoking was determined to be a confounding variable. Conclusions. Age and gender were associated with a longer length of stay after THA, whereas only age was a significant factor after TKA. Development of age adjusted LOS models may help aid patient expectations and risk management

Introduction. Provision of prehabilitation prior to total knee arthroplasty (TKA) through a digital mobile application is a novel concept. The primary aim of our research is to determine whether provision of prehabilitation through a mobile digital application impacts length of stay (LOS), requirement for inpatient rehabilitation and hospital-associated costs after TKA. Our study hypothesis is that a mobile digital application provides a low resource, cost effective method of delivering prehabilitation prior to TKA. Methods. An observational, retrospective analysis was performed on a consecutive case series of 64 patients who underwent TKA by a single surgeon over a 21-month period. Pre operative Knee Osteoarthritis Outcome Score (KOOS) Patient Reported Outcome Measures (PROMs) were collected on all patients. The first group of patients (control) did not undergo prehabilitation, the subsequent group of patients (experimental) were offered prehabilitation through a mobile application called PhysiTrack. The experimental group were provided with progressive quadriceps and hamstring strengthening exercises, and calf and hamstring stretches. Exercises were automatically progressed after 2 weeks unless the patient requested otherwise or a physiotherapist clinically intervened. The non-compliance rate was 33% (n=11), after removing these patients from the analysis, 22 patients remained and these were age matched to 22 patients from the control group. Aside from the access to prehabilitation, all patients underwent TKA using identical surgical technique and peri-operative care regime. Length of stay data for inpatient care and rehabilitation were captured for all patients. Cost was calculated using the inpatient and rehabilitation costs provided by the hospital. Results. 44 patients were included in our final analysis. Pre operative KOOS were collected for all of the experimental group and 18 (81%) of control group. These subscores were not statistically different (p>0.05) reflecting pre operative equivalence. The average inpatient length of stay was statistically different, being 5.04 days for the control group and 4.31 days for the experimental group (p=0.01). The decision for ongoing inpatient rehabilitation (after the immediate post-operative inpatient period) was not statistically different between the groups (chi-quared p=0.07). Rehabilitation length of stay was 9.12 days in the experimental and 10.85 days in the control group (p = 0.25). The remaining outcomes were statistically significant with total length of stay 11.95 days in the control and 7.63 days in the experimental group (p=0.01) and the total cost of the hospital stay $6362.55AUD for the control and $4145.17AUD for the experimental group (p=0.01). This represents an average saving $2217.38 per patient who participated in prehabiliation prior to surgery. Conclusions. Our research shows a significant cost saving with this intervention, as measured by reduction in total length of stay in patients undergoing prehabilitation using PhysiTrack. To our knowledge, this is the first study that analyses the impact of a mobile application providing prehabilitation prior to TKA. Further work is required to determine the effect in a larger, randomised cohort of patients. Future studies should also be directed towards assessing the utility of digital prehabilitation on a per patient basis prior to total knee arthroplasty

Introduction: Hypothesis: Patients undergoing operations at the end of the week are disadvantaged by the lack of weekend physiotherapy. Aim: To test the hypothesis by review of a single surgeon series of patients identifying factors affecting the post-operative length of stay. Methods: A cohort of patients with OA undergoing elective primary joint replacement was identified. Data was collected for demographics, procedures undertaken and length of stay. Results: 42 patients were included in the cohort. There were 23 hip and 19 knee replacements with an average age of 73.47 years. Multivariate analysis of the data was performed to ensure that the age, pathology, ASA and days of the week were equally represented. Further analysis revealed that the main factor contributing to length of stay was the age of the patient (5.13 days if age< 75 vs. 6.33 days if olderthan 75 years). Patients having surgery at the end of the week actually had a reduced length of stay compared to those at the start of the week (5.27 vs. 6.22 days). Discussion: The day of surgery does have effect on the length of stay post op. The widespread assumption that weekend physio to mobilise patients early post op may not be well founded. It is more likely that targetting patients to encourage discharge would be a more effective use of resource

Aim: To determine the length of stay after adolescent idiopathic scoliosis (AIS) surgery in Starship and Mercy Hospitals to ascertain whether there is a difference in the length of stay of patients having AIS surgery in a private hospital compared with a public hospital. To determine the variables having significant influence on the length of stay. Methods: Patients between the ages of 10 and 20 who had surgery for AIS during the period 1/1/96 to 31/12/2000 were identified from theatre logbooks. Patients who had anterior and posterior surgery were excluded. A retrospective analysis of case notes was carried out. Fisher’s Exact Test was used to analyse categorical data while Student T Test was used for continuous variables. Results: Thirty-three patients fulfilled the entry criteria. Sixteen male patients were operated on in Starship Hospital. Seventeen patients had operations at Mercy Hospital but only one of these was male. The groups were not significantly different in terms of age, sex, weight, ASA, number of levels, or curve pattern. The Mercy Hospital patients had a significantly lower Cobb angle (by 12 degrees). The Starship Hospital patients tended to retain their PCA pumps longer and tended to use more PCA morphine, however, this result was not significant. The Mercy Hospital patients had their intravenous access removed and were mobilised significantly earlier (1.7 and 1.9 days earlier respectively). The Mercy Hospital patients had a significantly shorter length of stay (6.4 and 8.4 days respectively, p= 0.0002). Conclusions: Patients at the Mercy Hospital had a significantly shorter post-operative length of stay after AIS surgery. This was not completely explained by the lower Cobb angle seen in the Mercy Hospital patients. The Mercy Hospital patients had their drips removed and were mobilised significantly earlier. This may be the key to early discharge

Background. Navigated THA is a new procedure in Thailand that has been performed since 2012. The previous studies have reported that navigated THA was a safe, reliable procedure that resulted in a more consistent cup placement compared to the conventional free hand technique and decreased complications of THA, especially dislocation. Perioperative protocols are based on the surgeon's concern about stability of the prosthesis and the patient's health condition. Assuming that the navigator can improve the alignment and stability of THA, the time to start rehabilitation and the post operative length of stay should be reduced in the hospital that does not implement any perioperative protocols. The purpose of this study was to compare the time to start rehabilitation and the length of stay between navigated and non-navigated THA. Methods. This retrospective study of patients underwent THA using short stem by a single surgeon from March 2011 to November 2012. Seventy-six patients were classified into navigated and non-navigated groups. The patient's characteristic data that were recorded included age, sex, BMI, comorbid illness, diagnosis, ASA classification, preoperative hematocrit, operative time, type of anaesthesia, intraoperative blood transfusion, postoperative length of stay, postoperative complication and time to start rehabilitation. The data were compared between two groups by t-test and chi square test. Results. There were 41 patients in the navigated THA and 35 patients in the non-navigated THA. There were 35 male patients (85.37%) in the navigated group and 27 (77.14%) in the non-navigated group. The mean age was 44.17 + 11.39 years in the navigated group and 44.51 + 8.17 years in the non-navigated group. The mean BMI was 21.77 + 3.09 kg/m2 in the navigated group and 22.44 + 4.3 kg/m2 in the non-navigated group. Most of the patients were diagnosed with osteonecrosis (more than 85% in both groups). There were no significant differences between the demographic data of the two groups. The mean number of days from operation to rehabilitation in the navigated group was 3.27 + 1.83 days and 4.34 + 1.33 days in the non-navigated group (p-value < 0.05), which was significantly shorter. The postoperative length of stay was 5.37 + 2.42 days in the navigated group and 5.89 + 1.98 days in the non-navigated group. There were 2 patients with minor complications after operation. No dislocation or infection in both groups. Conclusion. The navigated THA procedure resulted in a significantly shorter time to start rehabilitation. The postoperative length of stay was lower in the navigated group; however, it was not significant. The navigated THA technique increased the surgeon's confidence to provide early mobilisation and rehabilitation program

Arthroplasties are widely performed to improve mobility and quality of life for symptomatic knee/hip osteoarthritis patients. With increasing rates of Total Joint Replacements in the United Kingdom, predicting length of stay is vital for hospitals to control costs, manage resources, and prevent postoperative complications. A longer Length of stay has been shown to negatively affect the quality of care, outcomes and patient satisfaction. Thus, predicting LOS enables us to make full use of medical resources. Clinical characteristics were retrospectively collected from 1,303 patients who received TKA and THR. A total of 21 variables were included, to develop predictive models for LOS by multiple machine learning (ML) algorithms, including Random Forest Classifier (RFC), K-Nearest Neighbour (KNN), Extreme Gradient Boost (XgBoost), and Na¯ve Bayes (NB). These models were evaluated by the receiver operating characteristic (ROC) curve for predictive performance. A feature selection approach was used to identify optimal predictive factors. Based on the ROC of Training result, XgBoost algorithm was selected to be applied to the Test set. The areas under the ROC curve (AUCs) of the 4 models ranged from 0.730 to 0.966, where higher AUC values generally indicate better predictive performance. All the ML-based models performed better than conventional statistical methods in ROC curves. The XgBoost algorithm with 21 variables was identified as the best predictive model. The feature selection indicated the top six predictors: Age, Operation Duration, Primary Procedure, BMI, creatinine and Month of Surgery. By analysing clinical characteristics, it is feasible to develop ML-based models for the preoperative prediction of LOS for patients who received TKA and THR, and the XgBoost algorithm performed the best, in terms of accuracy of predictive performance. As this model was originally crafted at Ashford and St. Peters Hospital, we have naturally named it as THE ASHFORD OUTCOME

Hip fracture patients are vulnerable to delirium. This study examined the associations between delirium and outcomes including mortality, length of stay, post-discharge care requirements, and readmission. This cohort study collected validated healthcare data for all hip fracture patients aged ≥50 years that presented to a high-volume centre between March 2020-November 2021. Variables included: demographics, delirium status, COVID-19 status, treatment factors, and outcome measures. Wilcoxon rank sum or Chi-squared tests were used for baseline differences, Cox proportional hazard regression for mortality, logistic regression for post-discharge care requirements and readmission, and linear regression for length of stay. Analyses were adjusted for age, sex, deprivation, pre-fracture residence type and COVID-19. There were 1822 patients (mean age 81 years; 72% female) of which 496/1822 (27.2%) had delirium (4AT score ≥4). Of 371/1822 (20.4%) patients that died within 180 days of admission, 177/371 (47.7%) had delirium during the acute stay. Delirium was associated with an increased 30- and 180-day mortality risk (adjusted HR 1.74 (95%CI 1.15-2.64; p=0.009 and 1.74 (1.36-2.22; p<0.001), respectively), ten day longer total inpatient stay [adj. B.coef 9.80 (standard error 2.26); p<0.001] and three-fold greater odds of higher care requirements on discharge [Odds Ratio 3.07 (95% Confidence Interval 2.27-4.15; p<0.001)]. More than a quarter of patients had delirium during the hip fracture stay, and this was independently associated with increased mortality, longer length of stay, and higher post-discharge care requirements. These findings are relevant for prognostication and service planning, and emphasise the importance of effective delirium screening and evidence-based interventions in this vulnerable population

A prospective audit was carried out to analyse the relationship between time to surgery, number of co-morbidities and length of stay in 357 consecutive patients operated on for a fractured neck of femur. One hundred and thirty five patients were operated on within 48 hours (group 1), 129 between 48 and 96 hours (group 2) and 93 patients after 96 hours (group 3). The mean (std dev) age was 77.2 (12.5) years in group 1, 79.8 (9.9) years in group 2 and 79.2 (9.4) in group 3. There were 93 (69%) females in group 1, 99 (77%) in group 2 and 67 (72%) in group 3. The number (%) admitted from home was 85 (63) in group 1, 81 (63) in group 2 and 73 (79) in group 3. In the 30 patients with no co-morbidities there was a strong relationship between wait for surgery and length of stay. In these patients the median length of stay increased from 8.5 days in group 1 to 21 days when in group 3. In the 187 patients with one or two co-morbidities the relationship was present but weaker. The median length of stay increased from 16 days in group 1 to 21 days when in group 3. In the 140 patients with 3 or more co-morbidities there was no relationship between wait for surgery and length of stay. Median length of stay was 23 days in group 1 and 21 days in group 3. This data from a large consecutive group of patients suggests that the fit patient with a hip fracture benefits from early surgery with a shorter length of stay. Those with multiple co-morbidities have their length of stay determined by their medical condition

In patients with an ankle fracture initial delay to operation because of time constraints is often prolonged because swelling precludes surgery for some days. We made use of a year long prospective audit of 2000 trauma patients to analyse the effect of delay to surgery on length of stay in ankle fracture patients. One hundred and fifty patients were admitted with an ankle fracture. One hundred and twenty nine were operated on. The median (inter quartile range) time to surgery was 3 (2–5) days. Twenty six patients got to theatre within 24 hours. For those who didn’t get to theatre within 24 hours the median time to surgery was 4 days. For the group as a whole there was a poor correlation between wait for surgery and length of stay (Pearson = 0.6). For the 98 patients under the age of 60 there was a significant relationship (Pearson co-efficient = 0.85). Fifty per cent of those under 60 were discharged within 48 hours of their surgery. The number of co-morbidities was different between the under and over 60s. The over 60s had a median (inter quartile range) of 2 (1–5) co-morbidities, compared to 0 (0–1) in those under 60. Patients under 60 with an ankle fracture are generally medically fit. If 90% of such patients had their fractures fixed within 24 hours the median post operative length of stay for all ankle fractures in this population would fall from 7 to 3 days and the number of bed days saved would be 400 a year. The length of stay in patients over the age of 60 is more related to their associated co-morbidities than their time to surgery

Introduction. Postoperative pain is a concern for patients undergoing Total Knee Arthroplasty (TKA) and plays an important role in opioid consumption, length of stay, and postoperative function. The purpose of this study was to compare outcomes in patients who underwent primary TKA comparing femoral and sciatic (F+S) combination motor nerve block versus an adductor canal and the interspace between the popliteal artery and the capsule of the posterior knee (ACB+IPACK) combination sensory nerve block. Methods. 100 consecutive primary TKA cases performed by a single surgeon using the same surgical approach and implant design were reviewed. The first 50 patients received F+S nerve blocks and the second 50 received ACB+IPACK blocks preoperatively. Both groups also received total intravenous anesthesia (TIVA). Differences in opioid requirements, length of stay (LOS), distance walked, Western Ontario & McMasters University Osteoarthritis Index (WOMAC), Knee Society (KSS) function scores, Visual Analog Scores (VAS) for pain at rest and with activity, and postoperative complications were analyzed. There were no differences in the groups with respect to age, sex or BMI. Results. 62% of patients were discharged on postoperative day #1 in the ACB+IPACK group compared to 14% in the F+S group (p<.0001). The ACB+IPACK patients had a shorter LOS (average 1.48 days versus 2.02 days, p<0.0001), ambulated further on postop day #0 (average 21.4 feet versus 5.3 feet, p<0.0001), required less narcotics the day after surgery (average 15.7 versus 24.0 morphine equivalents p<0.0001) and at 2 weeks postoperative (average 6.2 versus 9.3 morphine equivalents, p=0.025), and required less manipulations under anesthesia (1 versus 5, p=0.204). WOMAC, KSS, and VAS scores were not significantly different. Discussion. The use of combination adductor canal and IPACK sensory blocks demonstrated improved early ambulation with decreased opioid use, length of stay, and postoperative manipulations. This study suggests that the use of combination sensory adductor canal and IPACK nerve blocks are superior to motor nerve blocks in patients undergoing primary TKA

Single level discectomy (SLD) is one of the most commonly performed spinal surgery procedures. Two key drivers of their cost-of-care are duration of surgery (DOS) and postoperative length of stay (LOS). Therefore, the ability to preoperatively predict SLD DOS and LOS has substantial implications for both hospital and healthcare system finances, scheduling and resource allocation. As such, the goal of this study was to predict DOS and LOS for SLD using machine learning models (MLMs) constructed on preoperative factors using a large North American database. The American College of Surgeons (ACS) National Surgical and Quality Improvement (NSQIP) database was queried for SLD procedures from 2014-2019. The dataset was split in a 60/20/20 ratio of training/validation/testing based on year. Various MLMs (traditional regression models, tree-based models, and multilayer perceptron neural networks) were used and evaluated according to 1) mean squared error (MSE), 2) buffer accuracy (the number of times the predicted target was within a predesignated buffer), and 3) classification accuracy (the number of times the correct class was predicted by the models). To ensure real world applicability, the results of the models were compared to a mean regressor model. A total of 11,525 patients were included in this study. During validation, the neural network model (NNM) had the best MSEs for DOS (0.99) and LOS (0.67). During testing, the NNM had the best MSEs for DOS (0.89) and LOS (0.65). The NNM yielded the best 30-minute buffer accuracy for DOS (70.9%) and ≤120 min, >120 min classification accuracy (86.8%). The NNM had the best 1-day buffer accuracy for LOS (84.5%) and ≤2 days, >2 days classification accuracy (94.6%). All models were more accurate than the mean regressors for both DOS and LOS predictions. We successfully demonstrated that MLMs can be used to accurately predict the DOS and LOS of SLD based on preoperative factors. This big-data application has significant practical implications with respect to surgical scheduling and inpatient bedflow, as well as major implications for both private and publicly funded healthcare systems. Incorporating this artificial intelligence technique in real-time hospital operations would be enhanced by including institution-specific operational factors such as surgical team and operating room workflow

Introduction: Increasingly, clinical pathways and fast-track protocols are reducing hospital in-patient stay following elective joint replacement surgery. In order to improve efficiency in our unit, we undertook a prospective observational study to identify pre–and peri-operative factors associated with increased length of stay. Methods: From our prospective primary hip arthroplasty database we analysed data from 2678 consecutive patients over a 9-year period from 1998–2007. Patients were excluded who had bilateral hip replacement, died within 30 post-operative days, or had surgery for a diagnosis other than primary osteoarthritis. This left 2302 patients who were analysed using multiple logistic regression analysis. Results: Length of stay varied from 3 to 58 days, with a mean of 8.1 days, and median 7 days. After multivariate analysis, factors that were found to be significantly associated with shorter length of stay were younger age (p< 0.001), male sex (p< 0.001), more recent year of admission (p=0.008), regular non-steroidal anti-inflammatory medication (p< 0.001), lower Harris Hip Score (p< 0.001), and higher General Health Perception dimension score on SF-36 questionnaire (p< 0.001). In addition, the absence of blood transfusion during admission (p< 0.001) and absence of post-operative urinary catheter (p< 0.001) were also associated with shorter length of stay. The following factors, in particular, were not found to be significantly associated with increased length of stay: obesity, diabetes, smoking, medical comorbidity, other disabling joint condition, use of wound drain post-operatively. Conclusions: We have identified a number of pre-operative factors that predict likely length of stay in a large cohort of patients undergoing primary hip replacement. This data could be used in the future for resource allocation and to improve efficiency in this significant area of healthcare

Introduction. Social determinants of health (SDOH) may contribute markedly to the total cost of care (COC) for patients undergoing elective total knee arthroplasty (TKA). This study investigated the association between demographics, health status, and SDOH on lengths of stay (LOS) and 30-day COC. Methods. Patients who underwent TKA between January 2018 and December 2019 were identified. Those who had complete SDOH data were utilized, leaving 234 patients. Data elements were drawn from the Chesapeake Regional Information System, the Center for Disease Control social vulnerability index (SVI), the Food Access Research Atlas (FARA). The SVI identifies areas vulnerable to catastrophic events, with 4 themed scores including: (1) socioeconomic status; (2) household composition and disability; (3) minority status and language; and (4) housing and transportation. Food deserts were defined as neighborhoods located 1 or 10 miles from a grocery store in urban and rural areas, respectively. Multiple regression analyses were performed to determine an association with LOS and cost, after controlling for demographics. Results. Increased 30-day COC associated with SVI theme 3, (3.074 days; p=0.001) and patients who lived in a food desert ($53,205; p=0.001), as well as those who had anemia ($16,112; P = 0.038), chronic obstructive pulmonary disease ($32,570, P = 0.001), congestive heart failure ($30,927, P = 0.003), and dementia ($33,456, P = 0.008). Longer hospital lengths of stay were associated with SVI theme 3. In addition, patients who had anemia and congestive heart failure were at risk for longer hospital lengths of stay (P < 0.001, P = 0.001, respectively). Conclusion. Higher SVI theme 3 scores and living in food deserts were risk factors for increased LOS and costs, respectively. Identifying social factors including a patient's transportation options, living situation and access to healthy foods may prove to be both prognostic of outcomes and an opportunity for intervention

Introduction: There are a number of publications in the literature on managing post-operative pain and early rehabilitation after primary total hip replacement (THR). However, there has been very little work in the literature to study the influence of the anaesthetic technique used on the post-operative length of hospital stay following primary THR. We, therefore, wished to particularly study the influence of anaesthetic technique and the anaesthetist concerned on the length of hospital stay, as well as the effect of age and body mass index (BMI). Methods: We studied 121 consecutive THRs in 109 patients. All procedures in our study were performed by the same surgeon using the same posterolateral approach, the same prosthetic design and the same physiotherapy protocol for all patients. Patients received either general anaesthesia alone (50 THRs) or a combination of general and local anaesthesia (lumbar plexus block; 71 THRs) from three separate anaesthetists. The mean age at the time of operation was 66.5 years (33 to 88). The influence of anaesthetist, anaesthetic technique, age of the patient and BMI on length of stay after primary THR was assessed separately. Results: Our analysis showed that the length of hospital stay was greatly influenced by the anaesthetic technique used, those patients who received a lumbar plexus block having a shorter median length of hospital stay (3 days) than those who received general anaesthesia alone (5 days; p < 0.0001). The age of the patient was also critical (p = 0.003) as was the anaesthetist concerned (p = 0.01). BMI was unimportant. Conclusions: For those surgeons who believe that a reduction in the length of hospital stay after primary THR is a worthwhile objective, we have one over-riding observation–the anaesthetic technique used is critical

Aims. While interdisciplinary protocols and expedited surgical treatment improve the management of hip fractures in the elderly, the impact of such interventions on patients specifically undergoing arthroplasty for a femoral neck fracture is not clear. We sought to evaluate the efficacy of an interdisciplinary protocol for the management of patients with a femoral neck fracture who are treated with an arthroplasty. Methods. In 2017, our institution introduced a standardized interdisciplinary hip fracture protocol. We retrospectively reviewed adult patients who underwent hemiarthroplasty (HA) or total hip arthroplasty (THA) for femoral neck fracture between July 2012 and March 2020, and compared patient characteristics and outcomes between those treated before and after the introduction of the protocol. Results. A total of 157 patients were treated before the introduction of the protocol (35 (22.3%) with a THA), and 114 patients were treated after its introduction (37 (32.5%) with a THA). The demographic details and medical comorbidities were similar in the two groups. Patients treated after the introduction of the protocol had a significantly reduced median time between admission and surgery (22.8 hours (interquartile range (IQR) 18.8 to 27.7) compared with 24.8 hours (IQR 18.4 to 43.3) (p = 0.042), and a trend towards a reduced mean time to surgery (24.1 hours (SD 10.7) compared with 46.5 hours (SD 165.0); p = 0.150), indicating reduction in outliers. Patients treated after the introduction of the protocol had a significantly decreased rate of major complications (4.4% vs 17.2%; p = 0.005), decreased median hospital length of stay in hospital (4.0 days vs 4.8 days; p = 0.008), increased rate of discharge home (26.3% vs 14.7%; p = 0.030), and decreased one-year mortality (14.7% vs 26.3%; p = 0.049). The 90-day readmission rate (18.2% vs 21.7%; p = 0.528) and 30-day mortality (3.7% vs 5.1%; p = 0.767) did not significantly differ. Patients who underwent HA were significantly older than those who underwent THA (82.1 years (SD 10.4) vs 71.1 years (SD 9.5); p < 0.001), more medically complex (mean Charlson Comorbidity Index 6.4 (SD 2.6) vs 4.1 (SD 2.2); p < 0.001), and more likely to develop delirium (8.5% vs 0%; p = 0.024). Conclusion. The introduction of an interdisciplinary protocol for the management of elderly patients with a femoral neck fracture was associated with reduced time to surgery, length of stay, complications, and one-year mortality. Such interventions are critical in improving outcomes and reducing costs for an ageing population. Cite this article: Bone Joint J 2021;103-B(7 Supple B):3–8

Our aim was to determine the effect of delay to surgery on the time to discharge, in-hospital death, the presence of major and minor medical complications and the incidence of pressure sores in patients with a fracture of the hip. All patients admitted to Vancouver General Hospital with this injury between 1998 and 2001 inclusive were identified from our trauma registry. A review of the case notes was performed to determine the delay in time from admission to surgery, age, gender, type of fracture and medical comorbidities. A time-to-event analysis was performed for length of stay. Additionally, a Cox proportional hazards model was used to determine the effect of delay to surgery on the length of stay while controlling for other pertinent confounding factors. Using logistical regression we determined the effect of delay to surgery on in-hospital death, medical complications and the presence of pressure sores, while controlling for confounding factors. Delay to surgery (p = 0.0255), comorbidity (p < 0.0001), age (p < 0.0001) and type of fracture (p = 0.0004) were all significant in the Cox proportional hazards model for increased time to discharge. Delay to surgery was not a significant predictor of in-hospital mortality. However, a delay of more than 24 hours was a significant predictor of a minor medical complication (odds ratio (OR) 1.53, 95% confidence interval (CI) 1.05 to 2.22), while a delay of more than 48 hours was associated with an increased risk of a major medical complication (OR 2.21, 95% CI 1.01 to 4.34), a minor medical complication (OR 2.27, 95% CI 1.38 to 3.72) and of pressure sores (OR 2.29, 95% CI 1.19 to 4.40). Patients with a fracture of the hip should have surgery early to lessen the time to acute-care hospital discharge and to minimise the risk of complications

AIM. To evaluate patient outcomes in surgically managed ankle fractures with respect to fracture pattern, timing of surgery and length of stay. METHOD. A retrospective review was undertaken of all patients admitted with an ankle fracture requiring a surgical procedure to our hospital between 1. st. Jan 2008 – 31. st. Dec 2008. Patient records were reviewed for baseline demographics and dates of admission, surgery and discharge. Radiographs were examined for fracture pattern and any evidence of dislocation. Patients were grouped into either early surgery (<48hours), or delayed surgery (>48hours). Data was analysed for length of stay (total, pre- and post-operative), time to surgery and factors influencing timing of surgery. RESULTS. One hundred and twenty-one patients were identified (12 were excluded for either failed conservative management or pre-op CT required), in all 109 patients were included. Average age was 46.5 years (range 11-83yrs) with a female predominance (ratio 3:1). Average length of stay was 9.13 days, with a mean time to surgery 2.7 days. 44% had early surgery; 56% delayed surgery. Pre-operative bed days in the delayed surgery group totalled 278 (average 4.5days per patient). Total length of stay was, on average, 1.1 days longer in the delayed surgery group, however, post-operative stay was significantly shorter in this group (4.93 versus 6.98 days). Factors associated with delayed surgery were trimalleolar fractures (p=0.06) and failure to reduce dislocation on first radiograph (p=0.27). CONCLUSION. Post-operative stay is shorter when surgery is delayed beyond 48 hours. Patient throughput, total length of inpatient stay, cost and patient satisfaction could be improved with early discharge and semi-elective re-admission for fracture fixation. Tri-malleolar fractures and delays in reduction after dislocation both pre-disposed to delayed surgery, owing to soft tissue swelling, and need to be pre-operatively managed accordingly

In-hospital length of stay (LOS) and discharge disposition following arthroplasty could act as surrogate measures for improvement in patient pathways, and have major cost saving implications for healthcare providers. With the ever-growing adoption of robotic technology in arthroplasty, we wished to evaluate its impact on LOS. The objectives of this study were to compare LOS and discharge disposition following robotic-arm assisted (RO THA) versus conventional technique Total Hip Arthroplasty (CO THA). This large-scale, single institution study included patients of any age undergoing primary THA (N = 1,732) for any cause between May 2019 and January 2023. Data extracted included patient demographics, LOS, need for Post Anaesthesia Care Unit (PACU) admission, anaesthesia type, readmission within 30 days and discharge dispositions. Univariate and multivariate logistic regression models were also employed to identify factors and patient characteristics related to delayed discharge. The median LOS in the RO THA group was 54 hours (34, 78) versus 60 (51, 100) in the CO THA group, p<0.001. Discharge disposition was comparable between the two groups. In the multivariate model, age, need for PACU admission, ASA score > 2, female gender, general anaesthesia and utilisation of the conventional technique were significantly associated with LOS > 2 days. Our study showed that robotic-arm assistance was associated with a shorter LOS in patients undergoing primary THA and no difference in discharge destination. Our results suggest that robotic-arm assistance could be advantageous in partly addressing the upsurge of hip arthroplasty procedures and the concomitant health care burden; however, this needs to be corroborated by long-term cost effectiveness analyses and data from randomised controlled studies

Introduction. The current study reports on the impact of immediate mobilization of patients treated by tissue-preserving, computer-assisted total hip arthroplasty on length of stay, disposition, and complications. Methods. From March, 2010 to April, 2011, a total of 231 consecutive primary THA were performed. Of these, 218 hips met the inclusion criteria of treatment using the superior capsulotomy surgical technique. 1. (Fig. 1), navigation of acetabular component implantation using a patient-specific mechanical navigation device (HipSextant™ navigation System, Surgical Planning Associates, Inc., Boston, MA). 2. , and patient age less than 80 years. Mean age of the patients was 57.3 years (range 23.5–79.9 years). The superior capsulotomy approach. 1. was used in all cases. This technique allows for both the femoral and the acetabular components to be placed with the patient in a lateral position through an incision in the superior capsule, posterior to the abductors and anterior to the short external rotators. The hip is not dislocated during surgery. Rather, the femur is prepared in situ through the top of the femoral neck, the neck is then transected, and the femoral head is excised en bloc. The acetabulum is prepared under direct vision using angled reamers, and the socket is placed with an offset inserter. The final construct is then reduced in situ. The protocol also involved the use of pre-emptive oral analgesia, pre-emptive autologous blood transfusion, and immediate mobilization. 3. Length of stay and disposition in this study group were compared to a cohort of 698 total hip arthroplasty performed at the same institution by all other techniques. Results. In the 218 hips in this study, the mean length of stay was 1.65 days with 97% of patients discharged directly home. Comparatively, the control group of 698 primary hips had an average length of stay of 3.2 days with 68% of patients discharged directly home. Of the 3 patients transferred to rehabilitation, one had cerebral palsy and another had end stage renal disease, a mechanical heart valve, and a longstanding complete sciatic palsy on the contralateral side. One patient, discharged on post op day 3, was readmitted 3 weeks postop for a GI bleed in association with prolonged anti-inflammatory use prior to surgery. Otherwise, there were no readmissions, reoperations, dislocations, nerve injuries, or post-discharge blood transfusions. Conclusions. The current study demonstrates that performing THA with combined tissue preservation and mechanical navigation techniques together with immediate mobilization can be safe and effective and have the potential of greatly reducing healthcare costs and dependence upon prolonged institutionalization following surgery

Introduction: Although there are a number of publications in the literature on managing post-operative pain and early rehabilitation after surgery in general, there has been little work on the influence of anaesthetic technique on the post-operative length of hospital stay following primary total hip replacement (THR). We wished to particularly study the influence of anaesthetic technique and the anaesthetist concerned on the length of hospital stay, as well as the effect of age and body mass index (BMI). Methods: We studied 121 consecutive THRs in 109 patients. All procedures were performed by the same surgeon using the same posterolateral approach, prosthetic design and the same physiotherapy protocol. Patients received either general anaesthesia alone (50 THRs) or a combination of general and local anaesthesia (lumbar plexus block; 71 THRs) from three separate anaesthetists. The influence of anaesthetist, anaesthetic technique, age, and BMI on length of stay after primary THR was assessed separately. Results: Our analysis showed that the length of hospital stay was greatly influenced by the anaesthetic technique used (p < 0.0001), those patients who received a lumbar plexus block having a shorter median length of hospital stay (3 days) than those who received general anaesthesia alone (5 days). The age of the patient was also critical (p = 0.003) as was the anaesthetist concerned (p = 0.01). BMI was unimportant. Discussion: For those surgeons who believe that a reduction in the length of hospital stay after primary THR is a worthwhile objective, we have one over-riding observation – the anaesthetic technique used, and the anaesthetist involved, are critical

The aim of this study was to evaluate the impact of a preoperative education programme on length of hospital stay for primary and revision knee arthroplasty patients. The programme was introduced at our hospital in October 2006 to encourage patients to play an active role in their postoperative recovery process. It was delivered by a multi-disciplinary team consisting of an arthroplasty nurse, ward physiotherapist, occupational therapist and orthopaedic consultant. Patients were educated about their care pathway, knee surgery, pain management, the expected discharge goal, post operative inpatient and outpatient rehabilitation. Data was prospectively reviewed for 472 patients who underwent (primary or revision) knee arthroplasty for the period between January 2006 and November 2007. There were 150 patients in the Conventional group and 322 patients in the Educational group. The mean length of stay reduced significantly from 7 days in the Conventional group to 5 days in the Education group (P< 0.01). In addition 20 percent more patients were discharged early (within 1 to 4 days) in Education group compared to the Conventional group (P< 0.01). There was no statistically significant difference in the percentage of inpatient complications and readmissions between the two groups. Our study demonstrates that preoperative education is a safe and effective method of reducing length of stay for knee arthroplasty patients. Significantly more patients achieved discharge within four postoperative days

Abstract. Background. There is a trend towards minimising length of stay (LOS) after total knee arthroplasty (TKA), as longer LOS is associated with poorer outcomes and higher costs. Patient factors known to influence LOS after TKA include age and ASA grade. Evidence regarding body mass index (BMI) in particular is conflicting. Some studies find that increased BMI predicts greater LOS, while others find no such relationship. Previous studies have generally not examined socioeconomic status, which may be a confounder. They have generally been conducted outside the UK, and prior to the Covid-19 pandemic. Methods. We conducted a retrospective cohort study of 1031 primary TKAs performed 01-04-2021 to 31-12-2021, after resumption of elective surgery in our centre. A multivariate regression analysis was performed using a Poisson model over pre-operative variables (BMI, age, gender, ASA grade, index of multiple deprivation, and living arrangement) and peri-operative variables (AM/PM operation, operation side, duration, and day of the week). Results. Mean LOS was 2.6 days. BMI had no effect on LOS (p > 0.05). Longer LOS was experienced by patients of greater age (p < 0.001), increased ASA grade (p < 0.001), living alone (p < 0.01), PM start time (p < 0.001), and longer operation duration (p < 0.01). Male patients had shorter LOS (p < 0.001). Index of multiple deprivation had no effect (p > 0.05). Conclusion. BMI had no effect on LOS after TKA. Being female and living alone are significant risk factors which should be taken in to account in pre-operative planning

Introduction. We designed this study to compare 30-day complications and length of hospital stay between patients undergoing total knee arthroplasty (TKA) with general anesthesia, to those undergoing TKA with spinal, epidural anesthesia, or Monitored Anesthesia Care (MAC, a combination of local anesthesia with sedation and analgesia provided by an anesthesiologist) with or without regional nerve blocks. Methods. We identified patients ≥18 years undergoing TKA between the years of 2006 and 2017 from the American College of Surgeons National Surgical Quality Improvement Program (NSQIP). We collected patient demographics, anesthesia type, 30-day complications, length of operation and hospital stay from the database. We used multivariable regression to compare complications and length of stay (LOS) between anesthesia types, while adjusting for relevant covariables. Results. We identified 265,325 TKA patients. Of these, 91 (0.03%) underwent epidural anesthesia with a nerve block, while 1,855 (0.70%) underwent epidural anesthesia with no block, 12,800 (4.82%) underwent MAC with a block, 25,643 (9.66%) underwent MAC with no block, 13,575 (5.12%) underwent spinal anesthesia with a block, 80,803 (30.45%) underwent spinal anesthesia with no block, and 130,558 (49.21%) underwent general anesthesia. The rate of complications was not associated with the presence of a block, while the unadjusted LOS was significantly lower with the use of a block in patients treated with spinal anesthesia (2.54±2.07 vs. 2.84±2.25), epidural anesthesia (2.87±1.81 vs. 3.88± 4.67), and MAC (2.51±2.14 vs. 2.68±2.11), p<0.0001. The unadjusted rate of major complications was significantly lower in patients who underwent spinal anesthesia (2.10%), and MAC (1.91%) compared to general anesthesia (2.31%), p<0.0001. Similarly, the unadjusted rate of minor complications was significantly lower for patients treated with spinal anesthesia(1.86%) and MAC (1.78%) compared to general anesthesia (2.11%), p<0.0001. The unadjusted LOS was significantly longer in patients treated with epidural (3.83±4.58), compared to general (2.94±3.64) anesthesia, p<0.0001. In contrast, the unadjusted LOS was significantly lower for patients treated with spinal anesthesia (2.80±2.23), and MAC (2.62±2.12) compared to general anesthesia, p<0.0001. Following covariable adjustment, spinal anesthesia and MAC were associated with a 0.93 (0.87–0.98), and 0.84 (0.78–0.91), odds of major complications compared to general anesthesia. Similarly, spinal anesthesia and MAC were associated with a 0.92 (0.87–0.98) and 0.89 (0.82–0.97) odds of minor complications compared to general anesthesia. Following covariable adjustment, epidural anesthesia increased the LOS by 0.25 (0.27–0.28) days compared to general, while spinal anesthesia and MAC decreased the LOS by 0.04 (95%CI 0.05–0.04), and 0.10 (0.11–0.09) days, compared to general. In patients treated with spinal anesthesia, epidural anesthesia, and MAC, the use of a block was independently associated with a decreased LOS by 0.10 (0.12–0.90), 0.24 (0.39–0.09), and 0.07 (0.08–0.05). Conclusion. Patients who undergo TKA with spinal anesthetic, and MAC appear to have superior outcomes compared to those who undergo TKA with general anesthesia. In addition, the use of a regional nerve block appears to be independently associated with a shorter LOS in patients who undergo TKA with neuraxial (spinal and epidural) anesthetic, and MAC. For figures, tables, or references, please contact authors directly

The burden of hospital length of stay (LOS) and readmissions for total hip arthroplasty (THA) patients has resulted in great scrutiny. The purpose of this study was to determine our patients' LOS and hospital readmissions over the past 7 years. The second purpose was to determine what comorbidities affected the LOS and readmissions of 1440 THA patients. 1440 THA patients were retrospectively reviewed. The group included 622 males, 818 females. The average age of the cohort was 60 years (12 to 94 years). Ninety-day hospital readmissions were measured for the patients. Fisher's exact test, independent Sample t-test and Spearman correlation coefficients were used to determine associations of patient characteristics and comorbidities with readmission status and LOS with comorbidity status. The LOS decreased over the time of the study (p=0.02), however; readmissions remained constant at approximately 6% (p=0.73). The mean LOS for patients not readmitted was significantly shorter than for those readmitted (3.2 vs. 4.4 days; p=0.0003). Comorbidities associated with a longer hospital stay included diabetes (p=0.0052), hypertension (p=0.04), coronary artery disease (p=0.0034), congestive heart failure (p=0.0012), peripheral vascular disease (p=0.015), chronic obstructive pulmonary disease (p=0.016), renal disease (p=0.009), and mental illness (p=0.03). Increased body mass index (BMI) was not associated with a significant increase in LOS (r=0.01, p=0.83). Increased readmission rates were associated with comorbidities including hypertension (p=<0.0001), coronary artery disease (p=<0.0001), congestive heart failure (p=0.0007), peripheral vascular disease (p=<0.0001), chronic obstructive pulmonary disease (p=0.003), asthma (p=0.0128), renal disease (p=0.0001), and mental illness (p=0.0147). Obesity was not associated with increased readmission rates until the patients were morbidly obese (>40 BMI; p=0.03). Although the LOS decreased over the time of the study, this did not result in an adverse increase in readmission rates. Several comorbidities including hypertension, coronary artery disease, congestive heart failure, peripheral vascular disease, chronic obstructive pulmonary disease, and mental illness were all associated with both a longer LOS and an increase in readmission rates. Asthma was associated with increased readmission rates only and diabetes was associated with an increased LOS only. BMI was not associated with readmission rates unless the BMI exceeded 40 and had no significant effect on LOS at any BMI level

Background Hip fracture is a common clinical problem that leads to considerable morbidity and mortality in the United Kingdom. Recommendations in our hospital suggest that elderly patients suffering from these fractures should have surgery within two calendar days from admission. Methods From August 2002 to July 2003, we studied 407 patients over the age of 65 who had a fracture of the hip. (Cases were recorded prospectively in our department trauma database). This was to determine the effect of operative delay and patients age on in-hospital mortality and on post operative length of stay. An operative delay was defined as an interval more than two calendar days between the time of admission to the hospital and the operation. Results In 199 (47%) cases, operation was performed within two calendar days from admission. The in-hospital mortality rate was 11%. The mean length of stay was 17 days. In the cases studied, neither the operative delay nor the age of the patient had a significant effect on the length of stay post operation. There was an increase in the in-hospital mortality rate associated with the operative delay, although this was not significant statistically. There was a statistically significant increase in the inhospital mortality rate with an increase in the patients age (5 % if less than 80 years old, 11% if between 80 and 89 years old, 19% if 90 years or older, p is less or equal to 0.05). In all three age groups the mortality rate did not statistically significantly decrease if the surgery was performed within two calendar days from admission. Conclusion Early surgery is not associated with significantly improved in-hospital mortality rate. Early surgery is not associated with decreased length of stay. Age is a prime factor in predicting the in-hospital mortality rate. We recommend early medical input for patient optimisation to reduce the proven high mortality rate

Purpose: The aim of this study was to compare the results and length of stay of patients of early ankle fracture fixation with conventional fixation in a busy District General Hospital in UK. Method: A retrospective study was conducted using data from case records, electronic patient record, clinical coding information, clinic letters and Picture Archiving and Communications System (PACS). Two hundred patients who underwent ankle fracture fixation from July 2004 to June 2005 were included. We looked into age, place of living, Weber classification, mechanism of injury, comorbidities especially diabetes and peripheral vascular disease, addictions mainly smoking, whether patient was anticoagulated, delay for theatre with reasons, length of stay in hospital and complications if any. Other things to looked at were, overlying skin condition, the amount of swelling at the time of presentation to A& E, associated ankle dislocation or talar shift needing reduction, injury types-open or closed or with associated neuro-vascular injury. In-operative management – what method was used ie malleolar screws, diastasis screw, fibular plating, calcaneotalotibial nail or external fixater etc. Results: In the 12-month retrospective review, there were 200 ankle fractures that required surgical intervention. Only twenty-two of these had surgery within 12 hours (mean length of stay, 3.3 days), and sixty-seven of these had surgery within 48 hours (mean length of stay, 4.9 days), and 111 had surgery after 48 hours (mean length of stay, 9.4 days). Finally we calculated the cost (784 bed days – £235 thousands) incurred to the trust in terms of extra bed occupancy and treating the complications as a result of wait. Conclusion: This study shows that early operative intervention for ankle fractures reduces the length of hospital stay. Intensive physiotherapy and co-ordinated discharge planning are also essential ingredients for early discharge. We want to emphasise on the ‘Window of Opportunity’ ie initial 12 hours to fix ankle fractures to decrease overall morbidity and cost

Introduction. Early rehabilitation and discharge following minimally-invasive total hip arthroplasty has potential risks including the possibility that patients may become progressively anemic at home. The current study assess the use of pre-emptive autologous blood transfusion on the length of stay, readmission, and allogenous transfusion. Methods. Patients treated by primary total hip arthroplasty using the superior capsulotomy technique were studied. Patients were divided into two groups. Group 1 were patients who did donate autologous blood and received an intra-operative pre-emptive transfusion. There were 283 patients in Group 1. Group 2 were patients who were medically capable of donating autologous blood but did not for non-medical reasons. There were 71 patients in Group 2. Patients who did not donate autologous blood for medical reasons (preoperative Hgb less than 11.5, age over 80) were excluded. All patients received general anesthesia. Length of stay, allogenous transfusion and readmission were compared. Results. The mean length of stay after surgery for the Group 1 patients who received autologous blood donation during primary THA was 1.56 days (SD 78 days, range 0–4). The mean length of stay for the Group 2 patients who did not donate or receive autologous blood during primary THA was 1.87 days (SD 84 days, range 1–4). Patients who received autologous blood donation had a significantly shorter post-surgical length of stay than patients who did not (p = .002, Mann-Whitney test). Patients who did not donate and preemptively receive autologous blood received significantly more allogenous blood (Mann-Whitney, p=.0004). Moreover 15% of those who auto-donated were given allogenic transfusions, while 37% of those who did not auto-donate were given allogeneic transfusions. One patient who did receive autologous transfusion and was discharged on day 2 sustained an NSAID induced GI-bleed 3 weeks postop and was admitted for transfusion and treatment. There were no other readmissions in either group. Conclusions. Patients who receive pre-emptive autologous blood transfusion intra-operatively when treated specifically by total hip arthroplasty using the superior capsulotomy technique under general anesthesia have shorter hospital stays and lower allogenous transfusion rates than a matched cohort of patients that did not donate and receive autogenous blood

Many hospitals and orthopaedic surgery teams across Canada have instituted quality improvement (QI) programs for hip and knee arthroplasty. One of the common goals is to reduce hospital length of stay (LOS) in order to improve operational efficiency, patient flow and, by achieving this, provide improved access for patients to arthroplasty surgery. A common concern among surgeons and care providers is that hospital readmission rates will increase if LOS is significantly reduced. This study assesses the relationship between LOS and readmission rates in Alberta over a six year period during a focused QI initiative targeting LOS. Data from all patients undergoing primary elective total hip or knee arthroplasty in Alberta between 2010 and 2015 was captured through a provincial QI program. Patient characteristics captured included age, gender, joint replaced, and pre-surgical co-morbidities. Patient LOS and all-cause hospital readmissions within thirty days from the initial discharge were captured through provincial data repositories, including the Discharge Abstract Database (DAD), operating room information systems, electronic medical records, and comorbidity risk grouper (CRG) data. Three longitudinal analyses were performed: 1) the crude and risk adjusted length of stay and 30-day readmission rates were calculated, 2) the population was grouped into two 3-year subsets and compared using t-test (acute LOS) and chi-square (30-day readmission), and 3) a multivariable regression analyses was performed to determine the rate of change and statistical significance in acute LOS and 30-day readmission between the two time periods. The number of patients undergoing elective lower extremity arthroplasty in the province during the six-year study period (2010–2015) was 48,760 patients. Fifty-nine percent were female and forty-one percent were male. Mean age of the cohort was 66.9 years. Thirty-nine percent of patients had a total hip arthroplasty and 61% had a total knee arthroplasty. Forty-five percent of patients had no pre-surgical risk factors, 27% had one risk factor, and 28% of the patients had 2 or more risk factors. During the quality improvement program risk-adjusted length of stay improved from a mean of 4.82 days (in 2010–2012) to 3.90 days (in 2013–2015) (p<0.01). Controlling for differences in age, sex, joint replaced, and pre-surgery risk factors, the acute LOS declined by 0.32 days between the two time periods (p<0.001). Quality improvement programs that target reduced LOS can avoid increasing 30-day hospital readmission rates. This has significant implications for inpatient resource utilisation for lower extremity arthroplasty surgery and for improving patient flow

Total knee and hip arthroplasty (TKA and THA) are two of the highest volume and resource intensive surgical procedures. Key drivers of the cost of surgical care are duration of surgery (DOS) and postoperative inpatient length of stay (LOS). The ability to predict TKA and THA DOS and LOS has substantial implications for hospital finances, scheduling and resource allocation. The goal of this study was to predict DOS and LOS for elective unilateral TKAs and THAs using machine learning models (MLMs) constructed on preoperative patient factors using a large North American database. The American College of Surgeons (ACS) National Surgical and Quality Improvement (NSQIP) database was queried for elective unilateral TKA and THA procedures from 2014-2019. The dataset was split into training, validation and testing based on year. Multiple conventional and deep MLMs such as linear, tree-based and multilayer perceptrons (MLPs) were constructed. The models with best performance on the validation set were evaluated on the testing set. Models were evaluated according to 1) mean squared error (MSE), 2) buffer accuracy (the number of times the predicted target was within a predesignated buffer of the actual target), and 3) classification accuracy (the number of times the correct class was predicted by the models). To ensure useful predictions, the results of the models were compared to a mean regressor. A total of 499,432 patients (TKA 302,490; THA 196,942) were included. The MLP models had the best MSEs and accuracy across both TKA and THA patients. During testing, the TKA MSEs for DOS and LOS were 0.893 and 0.688 while the THA MSEs for DOS and LOS were 0.895 and 0.691. The TKA DOS 30-minute buffer accuracy and ≤120 min, >120 min classification accuracy were 78.8% and 88.3%, while the TKA LOS 1-day buffer accuracy and ≤2 days, >2 days classification accuracy were 75.2% and 76.1%. The THA DOS 30-minute buffer accuracy and ≤120 min, >120 min classification accuracy were 81.6% and 91.4%, while the THA LOS 1-day buffer accuracy and ≤2 days, >2 days classification accuracy were 78.3% and 80.4%. All models across both TKA and THA patients were more accurate than the mean regressors for both DOS and LOS predictions across both buffer and classification accuracies. Conventional and deep MLMs have been effectively implemented to predict the DOS and LOS of elective unilateral TKA and THA patients based on preoperative patient factors using a large North American database with a high level of accuracy. Future work should include using operational factors to further refine these models and improve predictive accuracy. Results of this work will allow institutions to optimize their resource allocation, reduce costs and improve surgical scheduling. Acknowledgements:. The American College of Surgeons National Surgical Quality Improvement Program and the hospitals participating in the ACS NSQIP are the source of the data used herein; they have not verified and are not responsible for the statistical validity of the data analysis or the conclusions derived by the authors

To describe the longitudinal trends in patients with obesity and Metabolic Syndrome (MetS) undergoing TKA and the associated impact on complications and lengths of hospital stay. We identified patients who underwent primary TKA between 2006 – 2017 within the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database. We recorded patient demographics, length of stay (LOS), and 30-day major and minor complications. We labelled those with an obese Body Mass Index (BMI ≥ 30), hypertension, and diabetes as having MetS. We evaluated mean BMI, LOS, and 30-day complication rates in all patients, obese patients, and those with MetS from 2006-2017. We used multivariable regression to evaluate the trends in BMI, complications, and LOS over time in all patients and those with MetS, and the effect of BMI and MetS on complication rates and LOS, stratified by year. 270,846 patients underwent primary TKA at hospitals participating in the NSQIP database. 63.71% of patients were obese (n = 172,333), 15.21% were morbidly obese (n = 41,130), and 12.37% met criteria for MetS (n = 33,470). Mean BMI in TKA patients increased at a rate of 0.03 per year (0.02-0.05; p < 0 .0001). Despite this, the rate of adverse events in obese patients decreased: major complications by an odds ratio (OR) of 0.94 (0.93-0.96; p < 0 .0001) and minor complications by 0.94 (0.93-0.95; p < 0 .001). LOS also decreased over time at an average rate of −0.058 days per year (-0.059 to −0.057; p < 0 .0001). The proportion of patients with MetS did not increase, however similar improvements in major complications (OR 0.94 [0.91-0.97] p < 0 .0001), minor complications (OR 0.97 [0.94-1.00]; p < 0 .0330), and LOS (mean −0.055 [-0.056 to −0.054] p < 0 .0001) were found. In morbidly obese patients (BMI ≥ 40), there was a decreased proportion per year (OR 0.989 [0.98-0.994] p < 0 .0001). Factors specifically associated with major complications in obese patients included COPD (OR 1.75 [1.55-2.00] p < 0.0001) and diabetes (OR 1.10 [1.02-1.1] p = 0.017). Hypertension (OR 1.12 [1.03-1.21] p = 0.0079) was associated with minor complications. Similarly, in patients with MetS, major complications were associated with COPD (OR 1.72 [1.35-2.18] p < 0.0001). Neuraxial anesthesia was associated with a lower risk for major complications in the obese cohort (OR 0.87 [0.81-0.92] p < 0.0001). BMI ≥ 40 was associated with a greater risk for minor complications (OR 1.37 [1.26-1.50] p < 0.0001), major complications (1.11 [1.02-1.21] p = 0.015), and increased LOS (+0.08 days [0.07-0.09] p < 0.0001). Mean BMI in patients undergoing primary TKA increased from 2006 - 2017. MetS comorbidities such as diabetes and hypertension elevated the risk for complications in obese patients. COPD contributed to higher rates of major complications. The obesity-specific risk reduction with spinal anesthesia suggests an improved post-anesthetic clinical course in obese patients with pre-existing pulmonary pathology. Encouragingly, the overall rates of complications and LOS in patients with obesity and MetS exhibited a longitudinal decline. This finding may be related to the decreased proportion of patients with BMI ≥ 40 treated over the same period, possibly the result of quality improvement initiatives aimed at delaying high-risk surgery in morbidly obese patients until healthy weight loss is achieved. These findings may also reflect increased awareness and improved management of these patients and their elevated risk profiles

A longer stay in the hospital after primary total hip replacement is consistent with an increased morbidity and slower recovery for patients. In addition, it is among the more costly aspects of a total joint replacement. A process, which reduces the length of stay following this procedure and synchronically maintains the high standards of safe care would certainly improve the clinical practice and provide financial benefits. Our objective was to evaluate the efficiency of a holistic perioperative, accelerated recovery programme following this procedure and in particular to assess its impact in the shot term patient’s recovery, morbidity, complications, readmission rate and cost savings for the NHS. Eighty-nine patients participated in our rapid recovery programme, which is a comprehensive approach to patient care, combining individual pre-operative patient education, pain management, infection control, continuous nursing and medical staff motivation as well as intensive physiotherapy in the ward and the community. Forty-eight male and 41 female patients with an average age of 69 (range-50 to 87) underwent a total hip replacement in an NHS District General Hospital. The average BMI was 28 (range-18 to 39) and the average ASA 2.3 (range-1 to 4). The procedure was performed by 3 different surgeons using the same operative standards. A standardised post-operative protocol was followed and the patients were discharged when they were medically fit and had achieved the ward physiotherapy requirements. They were then daily followed up by a community orthopaedic rehabilitation team in patient’s own environment as long as it was required. The average length of stay was reduced from 7.8 days to 5. There was no increase in complications–or readmissions rate while there were significant cost savings. The waiting list for this surgery was reduced and the patient’s satisfaction was high. The rapid recovery programme for primary total hip replacement surgeries has been proved to be an efficient method of reducing the length of stay in hospital and consequently the financial costs while it ensures the safe and effective peri-operative management of patients

Introduction. With the removal of total hip arthroplasty (THA) from the Centers for Medicare & Medicaid Services (CMS) inpatient-only list, understanding predictors of length of stay (LOS) after THA is critical. Thus, we aimed to determine the influence of patient- and procedure-related risk factors as predictors of >1-day LOS after THA. Methods. A prospective cohort of 5,281 patients underwent primary THA between January 2016 and April 2019. Risk factors increased LOS were categorized as patient-related (demographics, smoking status, baseline Veterans RAND 12 Item Health Survey Mental Component Summary score [VR-12 MCS], Charlson Comorbidity Index [CCI], surgical indication, baseline Hip Injury and Osteoarthritis Outcome Score [HOOS] pain subscore and baseline HOOS physical function shortform (HOOS-PS), range of motion, and predicted discharge disposition) or procedure-related (hospital site, surgeon, approach, day of surgery, and surgery start time). By using the Akaike information criterion (AIC) and internally-validated concordance probabilities (C-index) for discriminating a 1-day LOS from a >1-day LOS, we compared performance between a patient-related risk factors only model and a model containing both patient- and procedure-related risk factors. Results. A >1-day LOS was statistically significantly associated with older age (p<0.001), female sex (p<0.001), higher body mass index (BMI) (p<0.001), higher CCI (p<0.001), Medicare status (p=0.012), higher baseline HOOS-PS (P<0.001) and lower baseline VR-12 MCS scores (p<0.001). The C-index after 1,000 bootstrap iterations were 0.693 and 0.883 for patient-related and patient plus procedure-related factors, respectively. Upon addition of procedure-related risk factors to the model, the AIC decreased by approximately 1,100 units, indicating that procedure-related risk factors (especially hospital site and surgical approach) explain LOS more effectively than patient-related risk factors alone. Conclusions. Although patient-related risk factors provide substantial predictive value for LOS following THA, procedure-related risk factors (mainly hospital site and surgical approach) remain the main drivers of predicting LOS. These results can help clinicians select appropriate candidates for short-stay and outpatient THA

Aims. Delirium is associated with adverse outcomes following hip fracture, but the prevalence and significance of delirium for the prognosis and ongoing rehabilitation needs of patients admitted from home is less well studied. Here, we analyzed relationships between delirium in patients admitted from home with 1) mortality; 2) total length of hospital stay; 3) need for post-acute inpatient rehabilitation; and 4) hospital readmission within 180 days. Methods. This observational study used routine clinical data in a consecutive sample of hip fracture patients aged ≥ 50 years admitted to a single large trauma centre during the COVID-19 pandemic between 1 March 2020 and 30 November 2021. Delirium was prospectively assessed as part of routine care by the 4 A’s Test (4AT), with most assessments performed in the emergency department. Associations were determined using logistic regression adjusted for age, sex, Scottish Index of Multiple Deprivation quintile, COVID-19 infection within 30 days, and American Society of Anesthesiologists grade. Results. A total of 1,821 patients were admitted, with 1,383 (mean age 79.5 years; 72.1% female) directly from home. Overall, 87 patients (4.8%) were excluded due to missing 4AT scores. Delirium prevalence in the whole cohort was 26.5% (460/1,734): 14.1% (189/1,340) in the subgroup of patients admitted from home, and 68.8% (271/394) in the remaining patients (comprising care home residents and inpatients when fracture occurred). In patients admitted from home, delirium was associated with a 20-day longer total length of stay (p < 0.001). In multivariable analyses, delirium was associated with higher mortality at 180 days (odds ratio (OR) 1.69 (95% confidence interval (CI) 1.13 to 2.54); p = 0.013), requirement for post-acute inpatient rehabilitation (OR 2.80 (95% CI 1.97 to 3.96); p < 0.001), and readmission to hospital within 180 days (OR 1.79 (95% CI 1.02 to 3.15); p = 0.041). Conclusion. Delirium affects one in seven patients with a hip fracture admitted directly from home, and is associated with adverse outcomes in these patients. Delirium assessment and effective management should be a mandatory part of standard hip fracture care. Cite this article: Bone Jt Open 2023;4(6):447–456