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. 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

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

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

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

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

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

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

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