Aims

To date, no study has demonstrated an improvement in postoperative outcomes following elective joint arthroplasty with a focus on nutritional intervention for patients with preoperative hypoalbuminaemia. In this prospective study, we evaluated differences in the hospital length of stay (LOS), rate of re-admission, and total patient charges for a malnourished patient study population who received a specific nutrition protocol before surgery.

Aims. Periprosthetic fractures (PPFs) around the knee are challenging injuries. This study aims to describe the characteristics of knee PPFs and the impact of patient demographics, fracture types, and management modalities on in-hospital mortality. Methods. Using a multicentre study design, independent of registry data, we included adult patients sustaining a PPF around a knee arthroplasty between 1 January 2010 and 31 December 2019. Univariate, then multivariable, logistic regression analyses were performed to study the impact of patient, fracture, and treatment on mortality. Results. Out of a total of 1,667 patients in the PPF study database, 420 patients were included. The in-hospital mortality rate was 6.4%. Multivariable analyses suggested that American Society of Anesthesiologists (ASA) grade, history of peripheral vascular disease (PVD), history of rheumatic disease, fracture around a loose implant, and cerebrovascular accident (CVA) during hospital stay were each independently associated with mortality. Each point increase in ASA grade independently correlated with a four-fold greater mortality risk (odds ratio (OR) 4.1 (95% confidence interval (CI) 1.19 to 14.06); p = 0.026). Patients with PVD have a nine-fold increase in mortality risk (OR 9.1 (95% CI 1.25 to 66.47); p = 0.030) and patients with rheumatic disease have a 6.8-fold increase in mortality risk (OR 6.8 (95% CI 1.32 to 34.68); p = 0.022). Patients with a fracture around a loose implant (Unified Classification System (UCS) B2) have a 20-fold increase in mortality, compared to UCS A1 (OR 20.9 (95% CI 1.61 to 271.38); p = 0.020). Mode of management was not a significant predictor of mortality. Patients managed with revision arthroplasty had a significantly longer length of stay (median 16 days; p = 0.029) and higher rates of return to theatre, compared to patients treated nonoperatively or with fixation. Conclusion. The mortality rate in PPFs around the knee is similar to that for native distal femur and neck of femur fragility fractures. Patients with certain modifiable risk factors should be optimized. A national PPF database and standardized management guidelines are currently required to understand these complex injuries and to improve patient outcomes. Cite this article: Bone Joint J 2024;106-B(2):158–165

Aims. This study aims to determine difference in annual rate of early-onset (≤ 90 days) deep surgical site infection (SSI) following primary total knee arthroplasty (TKA) for osteoarthritis, and to identify risk factors that may be associated with infection. Methods. This is a retrospective population-based cohort study using prospectively collected patient-level data between 1 January 2013 and 1 March 2020. The diagnosis of deep SSI was defined as per the Centers for Disease Control/National Healthcare Safety Network criteria. The Mann-Kendall Trend test was used to detect monotonic trends in annual rates of early-onset deep SSI over time. Multiple logistic regression was used to analyze the effect of different patient, surgical, and healthcare setting factors on the risk of developing a deep SSI within 90 days from surgery for patients with complete data. We also report 90-day mortality. Results. A total of 39,038 patients underwent primary TKA for osteoarthritis during the study period. Of these, 275 patients developed a deep SSI within 90 days of surgery, representing a cumulative incidence of 0.7%. The annual infection rate did not significantly decrease over the seven-year study period (p = 0.162). Overall, 13,885 (35.5%) cases were excluded from the risk analysis due to missing data. Risk factors associated with early-onset deep SSI included male sex, American Society of Anesthesiologists grade ≥ 3, blood transfusion, acute length of stay, and surgeon volume < 30 TKAs/year. Early-onset deep SSI was not associated with increased 90-day mortality. Conclusion. This study establishes a reliable baseline infection rate for early-onset deep SSI after TKA for osteoarthritis using robust Infection Prevention and Control surveillance data, and identifies several potentially modifiable risk factors. Cite this article: Bone Joint J 2023;105-B(9):971–976

Aims. The purpose of this study was to develop a personalized outcome prediction tool, to be used with knee arthroplasty patients, that predicts outcomes (lengths of stay (LOS), 90 day readmission, and one-year patient-reported outcome measures (PROMs) on an individual basis and allows for dynamic modifiable risk factors. Methods. Data were prospectively collected on all patients who underwent total or unicompartmental knee arthroplasty at a between July 2015 and June 2018. Cohort 1 (n = 5,958) was utilized to develop models for LOS and 90 day readmission. Cohort 2 (n = 2,391, surgery date 2015 to 2017) was utilized to develop models for one-year improvements in Knee Injury and Osteoarthritis Outcome Score (KOOS) pain score, KOOS function score, and KOOS quality of life (QOL) score. Model accuracies within the imputed data set were assessed through cross-validation with root mean square errors (RMSEs) and mean absolute errors (MAEs) for the LOS and PROMs models, and the index of prediction accuracy (IPA), and area under the curve (AUC) for the readmission models. Model accuracies in new patient data sets were assessed with AUC. Results. Within the imputed datasets, the LOS (RMSE 1.161) and PROMs models (RMSE 15.775, 11.056, 21.680 for KOOS pain, function, and QOL, respectively) demonstrated good accuracy. For all models, the accuracy of predicting outcomes in a new set of patients were consistent with the cross-validation accuracy overall. Upon validation with a new patient dataset, the LOS and readmission models demonstrated high accuracy (71.5% and 65.0%, respectively). Similarly, the one-year PROMs improvement models demonstrated high accuracy in predicting ten-point improvements in KOOS pain (72.1%), function (72.9%), and QOL (70.8%) scores. Conclusion. The data-driven models developed in this study offer scalable predictive tools that can accurately estimate the likelihood of improved pain, function, and quality of life one year after knee arthroplasty as well as LOS and 90 day readmission. Cite this article: Bone Joint J 2020;102-B(9):1183–1193

Background. The evaluation and management of outcomes risk has become an essential element of a modern total joint replacement program. Our multidisciplinary team designed an evidence-based tool to address modifiable risk factors for adverse outcomes after primary hip and knee arthroplasty surgery. Methods. Our protocols were designed to identify, intervene, and mitigate risk through evidence-based patient optimization. Nurse navigators screened patients preoperatively, identified and treated risk factors, and followed patients for 90 days postoperatively. We compared patients participating in our optimization program (N=104) to both a historical cohort (N=193) and a contemporary cohort (N=166). Results. Risk factor identification and optimization resulted in lower hospital length of stay and post-operative emergency department visits. Patients in the optimization cohort had a statistically significant decrease in mean LOS as compared to both the historical cohort (2.55 vs 1.81 days, P<0.001) and contemporary cohort (2.56 vs 1.81 days, p<0.001). Patients in the optimization cohort had a statistically significant decrease in 30- and 90-day ED visits compared to the historical cohort (P. 30-day. =0.042, P. 90-day. =0.003). When compared with the contemporary cohort, the optimization cohort had a statistically significant decrease in 90-day ED visits (21.08% vs. 10.58%, P=0.025). The optimization cohort had a statistically significant increase in the percentage of patients discharged home. We noted nonsignificant reductions in readmission rate, transfusion rate, and surgical site infections. Conclusion. Optimization of patients prior to elective primary THA and TKA reduced average LOS, ED visits, and drove tele-rehabilitation use. Our results add to the limited body of literature supporting this patient-centered approach

Introduction. Recent studies of novel healthcare episode payment models, such as the Bundled Payments for Care Improvement (BPCI) initiative, have demonstrated pathways for improving value. However, these models may not provide appropriate payments for patients with significant medical comorbidities or complications. The objective of this study was to identify risk factors for exceeding our institution's target payment, the so-called “bundle busters.”. Methods. After receiving an exemption from the Institutional Review Board, we queried our institutional data warehouse for all patients (n=412) that underwent total joint arthroplasty (TJA) of the hip (n=192), knee (n=207), or ankle (n=13), and qualified for our institution's bundled payments model during the study time period (July 2015 – May 2017). Patients with medical conditions that were not well controlled or were potentially optimizable were all sent for preoperative medical optimization prior to surgery. For each 90-day episode, patient characteristics, medical comorbidities, perioperative data, and payments from the Centers for Medicare and Medicaid Services (CMS) were obtained. Episodes where Medicare payments exceeded the target payment were considered “busters”. The busters were older, and had higher comorbidity scores (all, p<0.01). Variables were summarized using descriptive statistics and risk ratios were calculated using a modified Poisson regression analysis. Results. Of the 412 patients, 123 were bundle busters (30%). There was a median institutional loss of $11,797 (IQR, $4,312 – $26,771) for the bundle busters and a median gain of $7,402 ($5,657 – $9,206) for the non-busters. Of the 32 risk factors evaluated, 11 were identified as Independent risk factors for busting the bundle (all, p<0.05). Nine of the 11 (82%) are non-modifiable risk factors and include age, disease specific diagnoses (fracture and avascular necrosis), and medical comorbidities (congestive heart failure, pulmonary circulation disorders, renal disease, cardiac arrhythmia, chronic pulmonary disease, and neurological disorder). The remaining two medical comorbidities are potentially modifiable and include diabetes with complications, and preoperative anemia. Conclusion. Though modifiable risk factors should continue to be optimized prior to TJA, as they were in this population, there are still many non-modifiable preoperative risk factors that can lead to costs exceeding the BPCI established institutional payment goal. As such, further work with payors may be needed to help fairly and appropriately consider these non-modifiable factors which result in increased costs

Introduction. Low serum Vitamin D (VitD) levels are often found in patients being investigated for Total Knee Arthroplasty (TKA). VitD deficiency is associated with poor pre/post-operative functional scores and higher rate of complications. Studies report VitD as an important modifiable risk factor to improve outcomes post TKA. Aim. Aim of our study was 1) To examine the trajectory of VitD in TKA patients over 2 weeks, which included VitD sufficient and deficient patients who were supplemented orally or intramuscularly (IM) for comparision. 2) To compare early (2weeks) functional recovery in VitD sufficient and deficient patients. Material & Methods. We prospectively enrolled patients undergoing primary TKA by a single surgeon. Based on preoperative VitD levels (25OH VitD ≥30 being sufficient or <30 ng/mL being deficient) and means of supplementation(none, IM or Oral Injection Arachitol, Cholecalciferol IP 6,00,000 IU), we formed three groups: Group A (VitD sufficient, no supplementation); Group B (VitD deficient, IM supplementation); and Group C (VitD deficient, Oral supplementation). Study was approved by ethics committee. All patients gave informed consent and underwent TKA by same surgeon with uniform intra/post-operative protocols. VitD deficiency was supplemented orally/IM on the morning of surgery based on their randomization sequence. VitD levels (ng/mL) and outcome parameters of Flexion (degrees) and Timed up-and-go (TUG) test in seconds were assessed preoperatively and postoperatively on Day 3 and 14. 60 patients (20 per group) were enrolled. Demographics of all three groups were comparable. Results. VitD:. Group A:. Mean preoperative level of 42.3, fell to mean 40.4 by Day 3 (p < 0.001), and further to mean 38.9 by Day 14 (p<0.001). 6 and 4 patients became VitD deficient by Day 3 and Day 14 respectively. Group B:. Mean preoperative level of 21.5 rose to 31.2 by Day 3 (p=0.06), and further to 36.9 by Day 14 (p=0.001). 7 and 11 patients became sufficient by Day 3 and Day 14 respectively. Group C:. Mean preoperative level of 20.2 rose to mean 69.9 by Day 3 (p<0.001) and to a mean of 67.2 by Day 14 (p < 0.001). 19 and 20 patients became sufficient by Day 3 and Day 14 respectively. Outcome. Flexion:. Preoperative Flexion in Groups A, B, C was 133, 129 & 125 respectively (p=0.5). Day 3 Flexion was 88, 84 & 83 (p=0.2); Day 14 Flexion was 99, 90 & 95 (p=0.013) respectively. Posthoc Schaffe test showed statistical significance (p<0.05) only between Group A (99) and Group B (90) at Day 14. This indicated better flexion achieved in VitD sufficient patients at 2 weeks than in deficient patients with IM supplementation. TUG Test. was 17.1, 14.1 & 14.7 preoperatively in Groups A, B, C (p=0.5); on Day 3, it was 52.5, 62.6 & 58.2 (p=0.07); on Day 14, it was 33, 38.8 & 37.8 (p=0.2) respectively. Day 3 TUG time was longest (62.6) in Group B and shortest (52.5) in Group A indicating that IM supplemented patients had poor function compared to sufficient group though without statistical significance (p=0.07) with numbers available. Conclusion. We found that VitD deficient patients can be rapidly supplemented on the morning of surgery. High dose oral VitD increased levels by Day 3, whereas IM VitD increased levels only by Day 14 which remained significantly lesser than oral group. Interestingly, about 25% of VitD sufficient patients who were not supplemented, became deficient postoperatively. Flexion achieved on Day 14 was significantly better with VitD sufficiency, compared to deficient patients treated with IM VitD. Significance. VitD deficiency can be rapidly corrected by high dose oral supplementation on the morning of surgery. Also, TKA can deplete VitD and can make VitD sufficient patients deficient as early as Day 3 post surgery. For figures, tables, or references, please contact authors directly

Aims

Blood transfusion and postoperative anaemia are complications of total knee arthroplasty (TKA) that are associated with substantial healthcare costs, morbidity, and mortality. There are few data from large datasets on the risk factors for these complications.

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To identify variables independently associated with same-day discharge (SDD) of patients following revision total knee arthroplasty (rTKA) and to develop machine learning algorithms to predict suitable candidates for outpatient rTKA.

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Patient dissatisfaction following primary total knee arthroplasty (TKA) with manual jig-based instruments has been reported to be as high as 30%. Robotic-assisted total knee arthroplasty (RA-TKA) has been increasingly used in an effort to improve patient outcomes, however there is a paucity of literature examining patient satisfaction after RA-TKA. This study aims to identify the incidence of patients who were not satisfied following RA-TKA and to determine factors associated with higher levels of dissatisfaction.

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The purpose of this study was to compare the clinical outcomes, mortalities, implant survival rates, and complications of total knee arthroplasty (TKA) in patients with or without hepatitis B virus (HBV) infection over at least ten years of follow-up.

Aims

It has been shown that the preoperative modification of risk factors associated with obesity may reduce complications after total knee arthroplasty (TKA). However, the optimal method of doing so remains unclear. The aim of this study was to investigate whether a preoperative Risk Stratification Tool (RST) devised in our institution could reduce unexpected intensive care unit (ICU) transfers and 90-day emergency department (ED) visits, readmissions, and reoperations after TKA in obese patients.

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To compare rates of serious adverse events in patients undergoing revision knee arthroplasty with consideration of the indication for revision (urgent versus elective indications), and compare these with primary arthroplasty and re-revision arthroplasty.

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This study used an artificial neural network (ANN) model to determine the most important pre- and perioperative variables to predict same-day discharge in patients undergoing total knee arthroplasty (TKA).

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Rates of readmission and reoperation following primary total knee arthroplasty (TKA) are under scrutiny due to new payment models, which penalize these negative outcomes. Some risk factors are more modifiable than others, and some conditions considered modifiable such as obesity may not be as modifiable in the setting of advanced arthritis as many propose. We sought to determine whether controlling for hypoalbuminaemia would mitigate the effect that prior authors had identified in patients with obesity.

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The aim of this study was to observe the implications of withholding total joint arthroplasty (TJA) in morbidly obese patients

Aims

The Bundled Payments for Care Improvement (BPCI) initiative has identified pathways for improving the value of care. However, patient-specific modifiable and non-modifiable risk factors may increase costs beyond the target payment. We sought to identify risk factors for exceeding our institution’s target payment, the so-called ‘bundle busters’.