Does discharge disposition after primary total joint arthroplasty affect readmission rates?

Aspirin is Not for Everyone: Discharge to Non-home Facilities After Total Hip and Knee Arthroplasty Increases Risk of Venous Thromboembolism

Background

Patients discharged to non-home facilities (NHD) after total hip arthroplasty (THA) and total knee (TKA) arthroplasty experience higher rates of adverse events and may require more aggressive venous thromboembolism (VTE) chemoprophylaxis. Our aim was to compare the rates of VTE in NHD patients and those discharged home (HD) after THA/TKA. Our secondary aim was to determine VTE rates within HD and NHD groups when stratified by chemoprophylactic regimen.

Methods

A retrospective cohort of primary THA and TKA patients were stratified into HD and NHD, then allocated into groups by chemoprophylactic regimen on discharge: aspirin alone (AA), more aggressive (MA) chemoprophylaxis, and other regimens (other). The primary outcome was VTE. Rates of VTE in HD and NHD patients, as well as AA and MA regimens, were analyzed using a generalized linear regression model.

Results

Six thousand three hundred seventy-nine patients were included with 1.03% experiencing VTE. HD had lower rates of VTE compared to NHD (0.83% vs 2.17%, P < .001). AA had similar rates of VTE compared to MA (0.99% vs 1.08%, P = .82). NHD patients had a lower VTE rate with MA vs AA prophylaxis (1.47% vs 3.83%, P = .016). HD patients treated with AA vs MA had no difference in VTE rates (0.76% vs 0.96%, P = .761).

Conclusions

NHD patients have higher rates of VTE than HD patients. However, NHD patients have significantly lower rates of VTE on MA chemoprophylaxis compared to those on AA. Providers should consider prescribing MA VTE chemoprophylaxis for NHD patients. Prospective, randomized studies are necessary to confirm these recommendations.

Risk Factors for Return to the Emergency Department and Readmission After Same-Day Discharge Total Joint Arthroplasty

INTRODUCTION

Same day discharge (SDD) after total joint arthroplasty (TJA) is safe and cost effective. However, benefits may be offset by the potential cost of emergency department (ED) visits and readmissions. We identified risk factors for return to the ED and readmission in patients who underwent SDD and inpatient (IP) stays after TJA.

METHODS

We performed a retrospective review of patients who underwent primary TJA at an academic institution over the course of one year. There were 1,708 consecutive TJAs (721 THA [total hip arthroplasty] and 987 TKA [total knee arthroplasty]) included. A SDD occurred after 1,199 (70%) TJAs, 523 THAs, and 676 TKAs. We compared the demographics and comorbidities of patients who have SDD or IP who stayed following TJA. We documented rates of return to the ED or readmission within 90 days of surgery. Cohorts were compared using the Student's t-test or Chi-squared test. Significant findings were those with P-value <0.05.

RESULTS

The SDD cohort had a significantly higher rate of young, non-White men who had a lower body mass index (BMI) and fewer comorbidities than the IP cohort. Rates of return to ED and readmission were similar between SDD and IP cohorts after TJA and similar between THA and TKA. Factors that significantly influenced return to ED included a higher American Society of Anaesthesiologists (ASA) score (SDD, IP), a higher Charlson Comorbidity Index (CCI) score (SDD, IP), a lower BMI (IP), and a psychological diagnosis (SDD, IP). Factors that significantly influenced readmission rates included a higher ASA score (SDD), older age (SDD), and psychological diagnosis (SDD, IP).

CONCLUSION

Patients who discharge the same day after primary TJA have similar rates of return to the ED and readmission as those admitted as an inpatient. Patients who had a psychological diagnosis, and particularly a diagnosis of depression, are at higher risk for return to the ED and readmission after primary TJA, regardless of discharge the same-day or inpatient admission. Improved measures that attempt to further treat and optimize this patient population could reduce unnecessary postoperative ED visits.

Machine Learning-Based Predictive Models for 90-Day Readmission of Total Joint Arthroplasty Using Comprehensive Electronic Health Records and Patient-Reported Outcome Measures

Background

The Centers for Medicare & Medicaid Services currently incentivizes hospitals to reduce postdischarge adverse events such as unplanned hospital readmissions for patients who underwent total joint arthroplasty (TJA). This study aimed to predict 90-day TJA readmissions from our comprehensive electronic health record data and routinely collected patient-reported outcome measures.

Methods

We retrospectively queried all TJA-related readmissions in our tertiary care center between 2016 and 2019. A total of 104-episode care characteristics and preoperative patient-reported outcome measures were used to develop several machine learning models for prediction performance evaluation and comparison. For interpretability, a logistic regression model was built to investigate the statistical significance, magnitudes, and directions of associations between risk factors and readmission.

Results

Given the significant imbalanced outcome (5.8% of patients were readmitted), our models robustly predicted the outcome, yielding areas under the receiver operating characteristic curves over 0.8, recalls over 0.5, and precisions over 0.5. In addition, the logistic regression model identified risk factors predicting readmission: diabetes, preadmission medication prescriptions (ie, nonsteroidal anti-inflammatory drug, corticosteroid, and narcotic), discharge to a skilled nursing facility, and postdischarge care behaviors within 90 days. Notably, low self-reported confidence to carry out social activities accurately predicted readmission.

Conclusions

A machine learning model can help identify patients who are at substantially increased risk of a readmission after TJA. This finding may allow for health-care providers to increase resources targeting these patients. In addition, a poor response to the "social activities" question may be a useful indicator that predicts a significant increased risk of readmission after TJA.

Patient disposition after discharge following primary total hip arthroplasty: home versus skilled nursing facility-a study based on national inpatient sample database

INTRODUCTION

In view of the shortened length of hospital stay following THA, an increasing proportion of patients have required transfer to "extended-care" (ECF) or "skilled nursing" facilities (SNF) over the past years. As a result, the expenditure related to postoperative care facility has been acknowledged as a crucial component of total economic burden associated with THA. In this context, the clinical and demographic factors leading to the need for transfer of patients to SNF following primary THA need to be clearly understood.

METHODS

The NIS database was utilised to identify the patients, who underwent primary THA between 2016 and 2019. The patients were then grouped under two categories: group A-patients who required post-THA transfer to SNF; and group B-those who were discharged home. The details regarding patients' demographic profile, medical comorbidities and complication profile during the perioperative period were recorded; and compared between groups A and B.

RESULTS

Based on the database, 368,431 patients underwent primary THA between 2016 and 2019; among whom, 67,498 (18.3%) were transferred to SNF (group A) following the surgery. Among the various comorbidities evaluated [on multivariate analysis (MVA)], uncomplicated DM (OR 1.45; p < 0.001), CKD (OR 1.47; p < 0.001), cirrhosis (OR 1.83; p < 0.001), Parkinson's disease (OR 3.94; p < 0.001), previous H/O dialysis (OR 2.84; p < 0.001), colostomy (OR 2.03; p < 0.001) or organ transplant (OR 1.42; p < 0.001); morbid obesity (OR 1.72; p < 0.001), cocaine abuse (OR 1.76; p < 0.001); and legal blindness (OR 2.58; p < 0.001) were associated with significantly greater need for post-THA transfer to SNF. Among the systemic complications reviewed (on MVA), pneumonia (odds ratio 3.2; p < 0.001), DVT (odds ratio 2.58; p < 0.001), higher need for blood transfusions (odds ratio 2.55; p < 0.001), ARF (odds ratio 2.32; p < 0.001), MI (odds ratio 2.2; p < 0.001), anaemia (odds ratio 1.65; p = 0.002) and PE (odds ratio 1.56; p < 0.001) significantly raised the probability of need for higher discharge destinations. In addition, prosthesis-related local complications such as prosthetic dislocation (OR 1.59; p < 0.001), fracture (OR 2.64; p < 0.001) or early peri-prosthetic infection (PPI; OR 1.71; p = 0.01) also necessitated specialised facilities of care following THA.

CONCLUSION

We could observe that 0.2% of patients required transfer to SNF following primary THA. Comorbidities such as Parkinson's disease, previous H/O dialysis, legal blindness and H/O colostomy had the highest odds of necessitating patient disposition to SNF. The occurrence of one or more systemic complications including pneumonia, DVT, ARF, MI, PE, and blood loss anaemia (or need for blood transfusion) or local prosthesis-related complications (dislocation, fracture or infections) substantially increased the chances of requiring transfer to a specialised care facility.

Do preoperative PROMIS scores independently predict 90-day readmission following primary total knee arthroplasty?

INTRODUCTION

The rising demand for total knee arthroplasty (TKA) is expected to increase the total number of TKA-related readmissions, presenting significant public health and economic burden. With the increasing use of Patient-Reported Outcomes Measurement Information System (PROMIS) scores to inform clinical decision-making, this study aimed to investigate whether preoperative PROMIS scores are predictive of 90-day readmissions following primary TKA.

MATERIALS AND METHODS

We retrospectively reviewed a consecutive series of 10,196 patients with preoperative PROMIS scores who underwent primary TKA. Two comparison groups, readmissions (n = 79; 3.6%) and non-readmissions (n = 2091; 96.4%) were established. Univariate and multivariate logistic regression analyses were then performed with readmission as the outcome variable to determine whether preoperative PROMIS scores could predict 90-day readmission.

RESULTS

The study cohort consisted of 2170 patients overall. Non-white patients (OR = 3.53, 95% CI [1.16, 10.71], p = 0.026) and patients with cardiovascular or cerebrovascular disease (CVD) (OR = 1.66, 95% CI [1.01, 2.71], p = 0.042) were found to have significantly higher odds of 90-day readmission after TKA. Preoperative PROMIS-PF10a (p = 0.25), PROMIS-GPH (p = 0.38), and PROMIS-GMH (p = 0.07) scores were not significantly associated with 90-day readmission.

CONCLUSION

This study demonstrates that preoperative PROMIS scores may not be used to predict 90-day readmission following primary TKA. Non-white patients and patients with CVD are 3.53 and 1.66 times more likely to be readmitted, highlighting existing racial disparities and medical comorbidities contributing to readmission in patients undergoing TKA.

High Risk of Readmission After THA Regardless of Functional Status in Patients Discharged to Skilled Nursing Facility

BACKGROUND

The postoperative period and subsequent discharge planning are critical in our continued efforts to decrease the risk of complications after THA. Patients discharged to skilled nursing facilities (SNFs) have consistently exhibited higher readmission rates compared with those discharged to home healthcare. This elevated risk has been attributed to several factors but whether readmission is associated with patient functional status is not known.

QUESTIONS/PURPOSES

After controlling for relevant confounding variables (functional status, age, gender, caregiver support available at home, diagnosis [osteoarthritis (OA) versus non-OA], Charlson comorbidity index [CCI], the Area Deprivation Index [ADI], and insurance), are the odds of 30- and 90-day hospital readmission greater among patients initially discharged to SNFs than among those treated with home healthcare after THA?

METHODS

This was a retrospective, comparative study of patients undergoing THA at any of 11 hospitals in a single, large, academic healthcare system between 2017 and 2022 who were discharged to an SNF or home healthcare. During this period, 13,262 patients were included. Patients discharged to SNFs were older (73 ± 11 years versus 65 ± 11 years; p < 0.001), less independent at hospital discharge (6-click score: 16 ± 3.2 versus 22 ± 2.3; p < 0.001), more were women (71% [1279 of 1796] versus 56% [6447 of 11,466]; p < 0.001), insured by Medicare (83% [1497 of 1796] versus 52% [5974 of 11,466]; p < 0.001), living in areas with greater deprivation (30% [533 of 1796] versus 19% [2229 of 11,466]; p < 0.001), and had less assistance available from at-home caregivers (29% [527 of 1796] versus 57% [6484 of 11,466]; p < 0.001). The primary outcomes assessed in this study were 30- and 90-day hospital readmissions. Although the system automatically flags readmissions occurring within 90 days at the various facilities in the overall healthcare system, readmissions occurring outside the system would not be captured. Therefore, we were not able to account for potential differential rates of readmission to external healthcare systems between the groups. However, given the large size and broad geographic coverage of the healthcare system analyzed, we expect the readmissions data captured to be representative of the study population. The focus on a single healthcare system also ensures consistency in readmission identification and reporting across subjects. We evaluated the association between discharge disposition (home healthcare versus SNF) and readmission. Covariates evaluated included age, gender, primary payer, primary diagnosis, CCI, ADI, the availability of at-home caregivers for the patient, and the Activity Measure for Post-Acute Care (AM-PAC) 6-clicks basic mobility score in the hospital. The adjusted relative risk (ARR) of readmission within 30 and 90 days of discharge to SNF (versus home healthcare) was estimated using modified Poisson regression models.

RESULTS

After adjusting for the 6-clicks mobility score, age, gender, ADI, OA versus non-OA, living environment, CCI, and insurance, patients discharged to an SNF were more likely to be readmitted within 30 and 90 days compared with home healthcare after THA (ARR 1.46 [95% CI 1.01 to 2.13]; p= 0.046 and ARR 1.57 [95% CI 1.23 to 2.01]; p < 0.001, respectively).

CONCLUSION

Patients discharged to SNFs after THA had a slightly higher likelihood of hospital readmission within 30 and 90 days compared with those discharged with home healthcare. This difference persisted even after adjusting for relevant factors like functional status, home support, and social determinants of health. These results indicate that for suitable patients, direct home discharge may be a safer and more cost-effective option than SNFs. Clinicians should carefully consider these risks and benefits when making postoperative discharge plans. Policymakers could consider incentives and reforms to improve care transitions and coordination across settings. Further research using robust methods is needed to clarify the reasons for higher SNF readmission rates. Detailed analysis of patient complexity, care processes, and causes of readmission in SNFs versus home health could identify areas for quality improvement. Prospective cohorts or randomized trials would allow stronger conclusions about cause-and-effect. Importantly, no patients should be unfairly "cherry-picked" or "lemon-dropped" based only on readmission risk scores. With proper support and care coordination, even complex patients can have good outcomes. The goal should be providing excellent rehabilitation for all, while continuously improving quality, safety, and value across settings.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Considering Mobility Status and Home Environment in Readmission Risk After Total Knee Arthroplasty

BACKGROUND

Discharge disposition following total knee arthroplasty (TKA) offers varying levels of post-acute care monitoring depending on the medical status of the patient and his or her ability to function independently. Discharge disposition following TKA is associated with 30-day and 90-day hospital readmission, but prior studies have not consistently considered confounding due to mobility status after TKA, available caregiver support, and measures of home area deprivation. The purpose of this study was to examine 30-day and 90-day readmission risk for patients discharged to a skilled nursing facility (SNF) following TKA after controlling specifically for these factors, among other covariates.

METHODS

This was a retrospective cohort study of patients undergoing TKA at any of 11 hospitals in a single, large, academic health-care system between January 2, 2017, and August 31, 2022, who were discharged to an SNF or home health care (HHC). The adjusted relative risk of readmission within 30 and 90 days of discharge to an SNF compared with HHC was estimated using modified Poisson regression models.

RESULTS

There were 15,212 patients discharged to HHC and 1,721 patients discharged to SNFs. Readmission within 30 days was 7.1% among patients discharged to SNFs and 2.4% among patients discharged to HHC; readmission within 90 days was 12.1% for the SNF group and 4.8% for the HHC group. The adjusted relative risk after discharge to an SNF was 1.07 (95% confidence interval [CI], 0.79 to 1.46; p = 0.65) for 30-day readmission and 1.45 (95% CI, 1.16 to 1.82; p < 0.01) for 90-day readmission.

CONCLUSIONS

Discharge to an SNF compared with HHC was independently associated with 90-day readmission, but not with 30-day readmission, after controlling for mobility status after TKA, available caregiver support, and home Area Deprivation Index, among other covariates.

LEVEL OF EVIDENCE

Therapeutic Level III . See Instructions for Authors for a complete description of levels of evidence.

Initiation of a Comprehensive Early Discharge Program at a Veterans Affairs Hospital

INTRODUCTION

Early discharge protocols have become a major surgical paradigm, but this protocol is not routinely used in the Veteran Affairs (VA) system. The primary objective was to demonstrate the feasibility of a comprehensive joint program (CJP) protocol, including same-day discharge, at a VA hospital. Secondary objectives are to determine whether an increase in postoperative complications, increased readmissions, and increased ER visits compared with previous management protocols occur.

METHODS

A retrospective review of patients undergoing primary total joint arthroplasty conducted before the initiation of CJP was compared with patients undergoing primary total joint arthroplasty conducted after the initiation of CJP. The two cohorts were subdivided further into total knee arthroplasty (TKA) and total hip arthroplasty (THA). Patients' demographics, medical comorbidities, discharge disposition, length of stay (LOS), surgery information, 30-day and 90-day postoperative complications, surgical site infections, and emergency room visits were collected and assessed with paired t -tests.

RESULTS

A total of 200 control cases (101 TKA, 99 THA) were compared with 260 cases (165 TKA, 95 THA) in the CJP group. The mean LOS reduced from 4.38 days in the control group to 0.75 days in the CJP group ( P < 0.001), with 890 total inpatient days in the control group compared with just 200 total inpatient days with the CJP group. A total of 92 patients (34.5%) in the CJP group were discharged the same day compared with 0 in the control group ( P < 0.001). In the control group, 47.8% were discharged to rehabilitation centers compared with only 4.5% in the CJP group ( P < 0.001). The 30-day complication rate was reduced with CJP (5.6% vs. 10.3% control) ( P = 0.028). ER visits did not significantly change (8.9% control vs. 9.3% CJP; P = 0.77).

CONCLUSION

Overall LOS and complication rates were reduced with the CJP, exemplifying the viability of such a protocol in the VA system. In addition, we demonstrated no increased risks accompanied with early discharge to home. This initiative can be used to reduce healthcare dollars in VA healthcare system nationally.

Outpatient Total Knee Arthroplasty Shows Decreasing Complication Burden From 2010 to 2020

BACKGROUND

The number of total knee arthroplasties (TKAs) performed on an outpatient basis continues to increase. The purpose of this study was to compare complication rates over the last decade to evaluate trends in the safety of outpatient TKA.

METHODS

Patients who underwent TKA from 2010 to 2020 from a large administrative claims database were retrospectively identified and stratified based on the year of surgery. Propensity-score matching was performed to match patients who were discharged within 24 hours of surgery to inpatients based on age, sex, comorbidity index, and year of surgery. Linear regression analyses were used to compare trends from 2010 to 2020. The 90-day adverse events in the early cohort (2010-2012) were compared to those in the late cohort (2018-2020) using multivariable regression analyses. Of the 547,137 patients in the sample, 28,951 outpatients (5.3%) were propensity matched to inpatients.

RESULTS

The incidence of outpatient TKA increased from 2010 to 2018 (1.9 versus 13.8%, P < .001). Despite a similar complication rate early (24.1 versus 22.6%, P = .164), outpatient TKA had fewer complications at the end of the study period (13.7 versus 16.7%, P < .001). Multivariate analyses demonstrated that the risk of any complication after outpatient TKA was lower than inpatient from 2018 to 2020 (odds ratio, 0.78; 95% confidence interval, 0.71-0.84).

CONCLUSIONS

Complications in both cohorts declined dramatically suggesting improvements in quality of care over time, with the greatest decline in patients undergoing outpatient surgery. These results suggest that outpatient TKA today is not higher risk for the patient than inpatient TKA.

LEVEL OF EVIDENCE

Level III.

Does physical therapy impact clinical outcomes after lumbar decompression surgery?

Objectives

The objectives of our study were to (1) determine if physical therapy (PT) impacts patient-reported outcomes (PROMs) after lumbar decompression surgery and (2) determine if PT impacts postsurgical readmissions or reoperations after lumbar decompression surgery.

Methods

Patients >18 years of age who underwent primary one- or two-level lumbar decompression at our institution were identified. Patient demographics, surgical characteristics, surgical outcomes (all-cause 90 days readmissions and 90 days surgical readmissions), and patient-reported outcomes (PROMs) were compared between the groups. Multivariate linear regression was utilized to determine the individual predictors of 90 days readmissions and PROMs at the 1-year postoperative point. Alpha was set at P < 0.05.

Results

Of the 1003 patients included, 421 attended PT postoperatively. On univariate analysis, PT attendance did not significantly impact 90-day surgical reoperations (P = 0.225). Although bivariate analysis suggests that attendance of PT is associated with worse improvement in physical function (P = 0.041), increased preoperative Visual Analogue Scale leg pain (0 = 0.004), and disability (P = 0.006), as measured by the Oswestry Disability Index, our multivariate analysis, which accounts for confounding variables found there was no difference in PROM improvement and PT was not an independent predictor of 90-day all-cause readmissions (P = 0.06). Instead, Charlson Comorbidity Index (P = 0.025) and discharge to a skilled nursing facility (P = 0.013) independently predicted greater 90-day all-cause readmissions.

Conclusions

Postoperative lumbar decompression PT attendance does not significantly affect clinical improvement, as measured by PROMs or surgical outcomes including all-cause 90 days readmissions and 90-day surgical readmissions.

Preoperative Patient Optimization: Outcomes from Elective Total Joint Arthroplasty in a Large US Healthcare System

INTRODUCTION

Patient factors are known to affect outcomes in arthroplasty surgery. A preoperative program to address modifiable factors may aid in more appropriate patient selection. We sought to assess patient selection and 90-day postoperative outcomes for total joint arthroplasty (TJA) candidates before and after implementation of a preoperative optimization protocol.

METHODS

A retrospective time-trend study using data from an integrated healthcare system's total joint replacement registry was done. The study sample consisted of patients aged 18 years or older who underwent primary elective total hip arthroplasty (THA) and total knee arthroplasty (TKA) for osteoarthritis between 2009 and 2019. Patients were divided into two cohorts: procedures performed from 2009 to 2013 ("preoptimization protocol") and those from 2015 to 2019 ("postoptimization protocol"); 2014 was excluded because an evidence-based preoperative patient optimization protocol was progressively implemented throughout the year. Patient characteristics, optimization factors, and 90-day outcomes (including emergency department [ED] visits, readmission, all-cause revision, deep infection, venous thromboembolism, and mortality) were compared between the two cohorts using the Pearson chi-square test or Wilcoxon test.

RESULTS

The study sample included 25,925 THA and 60,484 TKA. In the THA cohort, 10,364 (40.0%) and 15,561 (60.0%) were from the preoptimization and postoptimization cohorts, respectively. The postoptimization THA cohort saw lower rates of ED visits (12.1% vs. 9.4%, P < 0.001) and readmissions (5.6% vs. 3.8%, P < 0.001). In the TKA cohort, 24,054 (39.8%) and 36,430 (60.2%) were from the preoptimization and postoptimization cohorts, respectively. The postoptimization TKA cohort saw lower rates of ED visits (13.1% vs. 11.9%, P < 0.001), readmissions (5.6% vs. 3.0%, P < 0.001), all-cause revisions (0.5% vs. 0.3%, P = 0.003), venous thromboembolism (1.3% vs. 0.9%, P < 0.001), and mortality (0.3% vs. 0.2%, P = 0.011).

DISCUSSION

An evidence-based protocol to improve patient selection based on modifiable patient factors was adopted by orthopaedic surgeons in the system and utilization of the protocol before TJA was associated with fewer postoperative complications over time.

LEVEL OF EVIDENCE

Level IV.

Acetabular Total Hip Arthroplasty Revision: A Summary of Operative Factors, Outcomes, and Comparison of Approaches

BACKGROUND

Revision total hip arthroplasty (THA) presents a greater risk to patients than primary THA, and surgical approach may impact outcomes. This study aimed to summarize acetabular revisions at our institution and to compare outcomes between direct anterior and posterior revision THA.

METHODS

A series of 379 acetabular revision THAs performed from January 2010 through August 2022 was retrospectively reviewed. Preoperative, perioperative, and postoperative factors were summarized for all revisions and compared between direct anterior and posterior revision THA.

RESULTS

The average time to acetabular revision THA was 10 years (range, 0.04 to 44.1), with mechanical failure (36.7%) and metallosis (25.6%) being the most prevalent reasons for revision. No differences in age, body mass index, or sex were noted between groups. Anterior revision patients had a significantly shorter length of stay (2.2 versus 3.2 days, P = .003) and rate of discharge to a skilled nursing facility (7.5 versus 25.2%, P = .008). In the 90-day postoperative period, 9.2% of patients returned to the emergency department (n = 35) and twelve patients (3.2%) experienced a dislocation. There were 13.2% (n = 50) of patients having a rerevision during the follow-up period with a significant difference between anterior and posterior approaches (3.8 versus 14.7%, respectively, P = .049).

CONCLUSION

This study provides some evidence that the anterior approach may be protective against skilled nursing facility discharge and rerevision and contributes to decreased lengths of stay. We recommend surgeons select the surgical approach for revision THA based on clinical preferences and patient factors.

Predicting Need for Skilled Nursing or Rehabilitation Facility after Outpatient Total Hip Arthroplasty

Purpose

Outpatient classified total hip arthroplasty (THA) is a safe option for a select group of patients. An analysis of a national database was conducted to understand the risk factors for unplanned discharge to a skilled nursing facility (SNF) or acute rehabilitation (rehab) after outpatient classified THA.

Materials and Methods

A query of the National Surgical Quality Improvement Program (NSQIP) database for THA (Current Procedural Terminology [CPT] 27130) performed from 2015 to 2018 was conducted. Patient demographics, American Society of Anesthesiologists (ASA) classification, functional status, NSQIP morbidity probability, operative time, length of stay (LOS), 30-day reoperation rate, readmission rate, and associated complications were collected.

Results

A total of 2,896 patients underwent outpatient classified THA. The mean age of patients was 61.2 years. The mean body mass index (BMI) was 29.6 kg/m² with median ASA 2. The results of univariate comparison of SNF/rehab versus home discharge showed that a significantly higher percentage of females (58.7% vs. 46.8%), age >70 years (49.3% vs. 20.9%), ASA ≥3 (58.0% vs. 25.8%), BMI >35 kg/m² (23.3% vs. 16.2%), and hypoalbuminemia (8.0% vs. 1.5%) (P<0.0001) were discharged to SNF/rehab. The results of multivariable logistic regression showed that female sex (odds ratio [OR] 1.47; P=0.03), age >70 years (OR 3.08; P=0.001), ASA ≥3 (OR 2.56; P=0.001), and preoperative hypoalbuminemia (<3.5 g/dL) (OR 3.76; P=0.001) were independent risk factors for SNF/rehab discharge.

Conclusion

Risk factors associated with discharge to a SNF/rehab after outpatient classified THA were identified. Surgeons will be able to perform better risk stratification for patients who may require additional postoperative intervention.

Validation of a Predictive Tool for Discharge to Rehabilitation or a Skilled Nursing Facility After TJA

BACKGROUND

Cost excess in bundled payment models for total joint arthroplasty (TJA) is driven by discharge to rehabilitation or a skilled nursing facility (SNF). A recently published preoperative risk prediction tool showed very good internal accuracy in stratifying patients on the basis of likelihood of discharge to an SNF or rehabilitation. The purpose of the present study was to test the accuracy of this predictive tool through external validation with use of a large cohort from an outside institution.

METHODS

A total of 20,294 primary unilateral total hip (48%) and knee (52%) arthroplasty cases at a tertiary health system were extracted from the institutional electronic medical record. Discharge location and the 9 preoperative variables required by the predictive model were collected. All cases were run through the model to generate risk scores for those patients, which were compared with the actual discharge locations to evaluate the cutoff originally proposed in the derivation paper. The proportion of correct classifications at this threshold was evaluated, as well as the sensitivity, specificity, positive and negative predictive values, number needed to screen, and area under the receiver operating characteristic curve (AUC), in order to determine the predictive accuracy of the model.

RESULTS

A total of 3,147 (15.5%) of the patients who underwent primary, unilateral total hip or knee arthroplasty were discharged to rehabilitation or an SNF. Despite considerable differences between the present and original model derivation cohorts, predicted scores demonstrated very good accuracy (AUC, 0.734; 95% confidence interval, 0.725 to 0.744). The threshold simultaneously maximizing sensitivity and specificity was 0.1745 (sensitivity, 0.672; specificity, 0.679), essentially identical to the proposed cutoff of the original paper (0.178). The proportion of correct classifications was 0.679. Positive and negative predictive values (0.277 and 0.919, respectively) were substantially better than those of random selection based only on event prevalence (0.155 and 0.845), and the number needed to screen was 3.6 (random selection, 6.4).

CONCLUSIONS

A previously published online predictive tool for discharge to rehabilitation or an SNF performed well under external validation, demonstrating a positive predictive value 79% higher and number needed to screen 56% lower than simple random selection. This tool consists of exclusively preoperative parameters that are easily collected. Based on a successful external validation, this tool merits consideration for clinical implementation because of its value for patient counseling, preoperative optimization, and discharge planning.

LEVEL OF EVIDENCE

Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.

Neural network models accurately predict discharge disposition after revision total knee arthroplasty?

PURPOSE

Based on the rising incidence of revision total knee arthroplasty (TKA), bundled payment models may be applied to revision TKA in the near future. Facility discharge represents a significant cost factor for those bundled payment models; however, accurately predicting discharge disposition remains a clinical challenge. The purpose of this study was to develop and validate artificial intelligence algorithms to predict discharge disposition following revision total knee arthroplasty.

METHODS

A retrospective review of electronic patient records was conducted to identify patients who underwent revision total knee arthroplasty. Discharge disposition was defined as either home discharge or non-home discharge, which included rehabilitation and skilled nursing facilities. Four artificial intelligence algorithms were developed to predict this outcome and were assessed by discrimination, calibration and decision curve analysis.

RESULTS

A total of 2228 patients underwent revision TKA, of which 1405 patients (63.1%) were discharged home, whereas 823 patients (36.9%) were discharged to a non-home facility. The strongest predictors for non-home discharge following revision TKA were American Society of Anesthesiologist (ASA) score, Medicare insurance type and revision surgery for peri-prosthetic joint infection, non-white ethnicity and social status (living alone). The best performing artificial intelligence algorithm was the neural network model which achieved excellent performance across discrimination (AUC = 0.87), calibration and decision curve analysis.

CONCLUSION

This study developed four artificial intelligence algorithms for the prediction of non-home discharge disposition for patients following revision total knee arthroplasty. The study findings show excellent performance on discrimination, calibration and decision curve analysis for all four candidate algorithms. Therefore, these models have the potential to guide preoperative patient counselling and improve the value (clinical and functional outcomes divided by costs) of revision total knee arthroplasty patients.

LEVEL OF EVIDENCE

IV.

Improving Postoperative Acute Kidney Injury Rates Following Primary Total Joint Arthroplasty

BACKGROUND

Perioperative hip and knee arthroplasty complications remain a significant clinical and financial burden. Our institution has shifted to developing protocols to decrease these perioperative complications. This study focuses on acute kidney injury (AKI) rate status post primary total joint arthroplasty (TJA). Current literature demonstrates a 2%-15% incidence of AKI following TJA. However, there is a paucity of published literature on protocols that have effectively reduced AKI rates following TJA. The purpose of this study is to evaluate the effect that our institutionally developed perioperative renal protocol had on the postoperative AKI rates.

METHODS

A retrospective cohort study was performed. Patient demographics, baseline creatinine, and postoperative creatinine values during the patient's hospitalization were collected and analyzed. The preintervention cohort data contained all patients at our institution who underwent a primary TJA from November 1, 2016 to January 1, 2018. The postintervention cohort included all primary TJA patients from July 1, 2018 to February 2, 2020. AKI was defined using the AKI Network classification system comparing baseline and postoperative creatinine values. A multivariate analysis was performed to determine the statistical significance of our results.

RESULTS

Before intervention 1013 patients underwent a primary TJA with 68 patients developing an AKI postoperatively. After intervention 2169 patients underwent primary TJA with 90 patients developing an AKI (6.71% vs 4.15%; P = .0015, odds ratio = 0.59, 95% confidence interval = 0.42-0.82).

CONCLUSION

This study demonstrated that implementation of a perioperative renal protocol can significantly reduce AKI rates. A reduction in AKI rates following TJA will result in improved outcomes and secondarily decrease the financial impact of postoperative complications seen following TJA.

Emergency department visits following total joint arthroplasty: do revisions present a higher burden?

Aims

Although readmission has historically been of primary interest, emergency department (ED) visits are increasingly a point of focus and can serve as a potentially unnecessary gateway to readmission. This study aims to analyze the difference between primary and revision total joint arthroplasty (TJA) cases in terms of the rate and reasons associated with 90-day ED visits.

Methods

We retrospectively reviewed all patients who underwent TJA from 2011 to 2021 at a single, large, tertiary urban institution. Patients were separated into two cohorts based on whether they underwent primary or revision TJA (rTJA). Outcomes of interest included ED visit within 90-days of surgery, as well as reasons for ED visit and readmission rate. Multivariable logistic regressions were performed to compare the two groups while accounting for all statistically significant demographic variables.

Results

Overall, 28,033 patients were included, of whom 24,930 (89%) underwent primary and 3,103 (11%) underwent rTJA. The overall rate of 90-day ED visits was significantly lower for patients who underwent primary TJA in comparison to those who underwent rTJA (3.9% vs 7.0%; p < 0.001). Among those who presented to the ED, the readmission rate was statistically lower for patients who underwent primary TJA compared to rTJA (23.5% vs 32.1%; p < 0.001).

Conclusion

ED visits present a significant burden to the healthcare system. Patients who undergo rTJA are more likely to present to the ED within 90 days following surgery compared to primary TJA patients. However, among patients in both cohorts who visited the ED, three-quarters did not require readmission. Future efforts should aim to develop cost-effective and patient-centred interventions that can aid in reducing preventable ED visits following TJA.

Cite this article: Bone Jt Open 2022;3(7):543–548.

Evaluation of Emergency Department Visits Following Total Joint Arthroplasty: Same-Day Discharge vs Non-Same-Day Discharge

BACKGROUND

Traditionally, most efforts have focused on readmission rates while little has been reported on emergency department (ED) presentation. This study aims to analyze the difference between same-day discharge (SDD) and non-SDD primary total hip and knee arthroplasty cases to determine the rate and reasons associated with 90-day ED presentations.

METHODS

We retrospectively reviewed all patients who underwent primary total hip arthroplasty and total knee arthroplasty between 2011 and 2021. The patients were separated into 2 cohorts: (1) SDD and (2) required a longer length of stay. The primary outcome was an ED visit within 90 days of the index operation. Secondary outcomes included reasons for ED visits and readmission rates. Multivariable logistic regressions were performed to compare the 2 groups while accounting for significant demographic variables.

RESULTS

Of the 24,933 patients included, 1,725 (7%) were SDD and 23,208 (93%) required a longer length of stay. The overall rate of 90-day ED visits was significantly lower for patients who were SDD compared to non-SDD (1.6% vs 4.0%, P = .004). However, when stratified based on the reason for ED visit, no single cause was significant between the 2 cohorts. The most commonly reported reasons were pain (32.1% vs 26.7%, P = .064) and other non-orthopedic-related medical issues (25.0% vs 29.5%, P = .206). Among those who presented to the ED, the readmission rate did not statistically differ (25.0% vs 23.4%, P = .131).

CONCLUSION

Patients who underwent SDD were less likely to present to the ED within 90 days following their surgery compared to non-SDD. Approximately three fourths of the patients in both cohorts that visited the ED did not require readmission. Future efforts should focus on developing interventions to reduce the burden of these visits on the healthcare system.

LEVEL III EVIDENCE

Retrospective Cohort Study.

Preoperative Emergency Department Visits Are Predictive of 90-Day Postoperative Emergency Department Visits and Discharge Disposition in Total Knee Arthroplasty Patients

The increasing number of patients undergoing total knee arthroplasty (TKA) has resulted in efforts to better understand patient utilization of healthcare services in the 90-day postoperative period. The primary purpose of this study was to examine whether emergency department (ED) visits in the year prior to elective TKA were predictive of postoperative ED visits in the 90-day global period following surgery. A retrospective chart review was performed for all patients undergoing TKA from June 1, 2011 to December 31, 2015 at a Veterans Affairs hospital. Total number of ED visits in the year prior to surgery and 90 days following surgery were tabulated. Binary and ordinal logistic regression analyses were utilized to determine if preoperative ED visits were predictive of postoperative ED visits. The significance level was set to α = 0.05. Overall, 611 eligible TKA procedures were performed. The logistic regression model for postoperative ED visits was significant (p < 0.001), with the number of preoperative ED visits (1 vs. 0: p < 0.001; 2 vs. 1: p = 0.012) and presence of diabetes (p = 0.007) both predicting the likelihood of a postoperative ED visit. Healthcare changes that are redefining the concept of quality of care to include the postoperative care episode, coupled with an increasingly aging population in need of TKA, will continue to challenge orthopaedic surgeons to provide safe, competent, and cost-effective care to patients. The results of this study demonstrate that a patient's propensity to visit the ED prior to TKA is predictive of a tendency to do so postoperatively and is of use to surgeons when evaluating and counselling patients who will be undergoing a TKA.

Demand Matching Total Joint Replacement Patients Results in Reduction of Post-Discharge Costs

BACKGROUND

The shift from fee-for-service to value-based care has focused payers and providers on resource utilization. One important component of value-based care is to reduce the use of post-discharge (PD) services in a clinically appropriate manner following total joint arthroplasty (TJA). Demand matching in healthcare is the process of tailoring appropriate medical care to a patient with respect to that patient's specific medical needs and social determinants. Outcomes following the implementation of a demand-matching algorithm for coordinating PD services after TJA were analyzed in this study.

METHODS

Payment data from all Medicare patients undergoing primary unilateral TJA between July 2014 and December 2018 from a single orthopedic practice were included. These payments were separated into acute and PD care. The initial acute and PD costs were compared to costs at the end of the 4-year study period using multiple linear regression and chi-square.

RESULTS

A total of 9,638 patients (4,212 total hip arthroplasties and 5,430 total knee arthroplasties) were included. Acute costs of TJA were stable averaging $13,712.00. PD costs fell steadily from a baseline average of $7,319.00 in July 2014 to $4,678.00 in December 2018 (P < .001), representing a 36.1% decline. Discharge to home increased steadily from 45.8% to 79.9% during the same interval (P < .001.) CONCLUSION: Our results demonstrate a statistically significant reduction in PD costs over a 4-year period using a demand-matching strategy to align with the Centers for Medicare and Medicaid Services mandate for value-based care. Based on these data, we conclude that thoughtful preoperative assessment of patient factors such as social determinants and medical comorbidities could allow for cost reduction through better utilization of PD services.

Investigating readmission rates for patients undergoing oncologic resection and endoprosthetic reconstruction for primary sarcomas and tumors involving bone

BACKGROUND

Little is known about the drivers of readmission in patients undergoing Orthopaedic oncologic resection. The goal of this study was to identify factors independently associated with 90-day readmission for patients undergoing oncologic resection and subsequent prosthetic reconstruction for primary tumors involving bone.

METHODS

This was a retrospective comparative cohort study of patients treated from 2008 to 2019 who underwent endoprosthetic reconstruction for a primary bone tumor or soft tissue tumor involving bone, as well as those who underwent a revision endoprosthetic reconstruction if the primary endoprosthetic reconstruction was performed for an oncologic resection. The primary outcome measure was unplanned 90-day readmission.

RESULTS

A total of 149 patients were identified who underwent 191 surgeries were for a primary bone or soft tissue tumor. The 90-day readmission rate was 28.3%. Female gender, depression, higher tumor grade, vascular reconstruction, longer procedure duration, longer length of stay (LOS), multiple surgeries during an admission and disposition to a Skilled Nursing Facility were associated with readmission (p < 0.05). In a multivariate analysis, female sex, higher tumor grade and longer procedure duration were independently associated with risk of readmission (p < 0.05).

CONCLUSIONS

Readmission rates are high following endoprosthetic reconstruction for Orthopaedic oncologic resections. Further work is necessary to help minimize unplanned readmissions.

Length of Stay Increases 90-day Readmission Rates in Patients Undergoing Primary Total Joint Arthroplasty

Postoperative length of stay (LOS) of 1 day compared with that of 2 to 4 days after primary total knee arthroplasty (TKA) or total hip arthroplasty (THA) and 90-day readmissions.

National Trends in Post-Acute Care Costs Following Total Hip Arthroplasty from 2010 through 2018

BACKGROUND

Post-acute care remains a target for episode-of-care cost reduction following total hip arthroplasty (THA). The introduction of bundled payment models in the United States in 2013 aligned incentives among providers to reduce post-acute care resource utilization. Institution-level studies have shown increased rates of home discharge with substantial cost savings after adoption of bundled payment models; however, national data have yet to be reported. The purpose of this study was to evaluate national trends in post-acute care utilization and costs following primary THA over the last decade.

METHODS

We reviewed the cases of 189,847 patients undergoing primary THA during 2010 through 2018 from the PearlDiver database. Annual trends in patient demographics, discharge disposition, and post-acute care resource utilization were evaluated. Post-acute care reimbursements were standardized to 2020 dollars and included outpatient visits, prescriptions, physical therapy, home health, inpatient rehabilitation, skilled nursing facilities, and any rehospitalizations or emergency department (ED) visits within 90 days of surgery.

RESULTS

From 2010 to 2018, the mean episode-of-care costs ($31,562 versus $24,188; p < 0.001) and overall post-acute care costs ($5,903 versus $3,485; p < 0.001) both declined. Post-acute care savings were primarily driven by reduced costs of skilled nursing facilities ($1,533 versus $627; p < 0.001), home health ($1,041 versus $763; p = 0.002), inpatient rehabilitation ($949 versus $552; p < 0.001), ED visits ($508 versus $102; p < 0.001), and rehospitalizations ($367 versus $179; p < 0.001). Post-acute care costs declined by $578 (p = 0.025) during 2010 to 2012, $768 (p = 0.038) during 2013 to 2015, and $884 (p = 0.020) during 2016 to 2018.

CONCLUSIONS

Over the last decade, the rate of home discharge after THA increased while rehospitalization and ED visit rates declined, resulting in a substantial decrease in total and post-acute care costs. Post-acute care costs declined most rapidly after the introduction of the new Medicare bundled payment programs in 2013 and 2016.

Why Do Patients Undergoing Extremity Prosthetic Reconstruction for Metastatic Disease Get Readmitted?

BACKGROUND

Orthopedic oncology patients are particularly susceptible to increased readmission rates and poor surgical outcomes, yet little is known about readmission rates. The goal of this study is to identify factors independently associated with 90-day readmission for patients undergoing oncologic resection and subsequent prosthetic reconstruction for metastatic disease of the hip and knee.

METHODS

This is a retrospective comparative cohort study of all patients treated from 2013 to 2019 at a single tertiary care referral institution who underwent endoprosthetic reconstruction by an orthopedic oncologist for metastatic disease of the extremities. The primary outcome measure was unplanned 90-day readmission.

RESULTS

We identified 112 patients undergoing 127 endoprosthetic reconstruction surgeries. Metastatic disease was most commonly from renal (26.8%), lung (23.6%), and breast (13.4%) cancer. The most common type of skeletal reconstruction performed was simple arthroplasty (54%). There were 43 readmissions overall (33.9%). When controlling for confounding factors, body mass index >40, insurance status, peripheral vascular disease, and longer hospital length of stay were independently associated with risk of readmission (P ≤ .05).

CONCLUSION

Readmission rates for endoprosthetic reconstructions for metastatic disease are high. Although predicting readmission remains challenging, risk stratification presents a viable option for helping minimize unplanned readmissions.

LEVEL OF EVIDENCE

III.

Impact of Neuraxial Versus General Anesthesia on Discharge Destination in Patients Undergoing Primary Total Hip and Total Knee Replacement

BACKGROUND

Total knee replacement (TKR) and total hip replacement (THR) are 2 of the most common orthopedic surgical procedures in the United States. These procedures, with fairly low mortality rates, incur significant health care costs, with almost 40% of the costs associated with post acute care. We assessed the impact of general versus neuraxial anesthesia on discharge destination and 30-day readmissions in patients who underwent total knee and hip replacement in our health system.

METHODS

This was a retrospective cohort study of 24,684 patients undergoing total knee or hip replacement in 13 hospitals of a large health care network. Following propensity score matching, we studied the impact of type of anesthetic technique on discharge destination (primary outcome) and postoperative complications including readmissions in 8613 patients who underwent THR and 13,004 patients for TKR.

RESULTS

Our results showed that in patients undergoing THR and TKR, neuraxial anesthesia is associated with higher odds of being discharged from hospital to home versus other facilities compared to general anesthesia (odds ratio [OR] = 1.63, 95% confidence interval [CI], 1.52-1.76; P < .01) and (OR = 1.58, 95% CI, 1.49-1.67; P < .01), respectively.

CONCLUSIONS

Our results suggest an association between use of neuraxial anesthesia for total joint arthroplasty and a higher probability of discharge to home and a reduction in readmissions.

Identifying Modifiable and Non-modifiable Risk Factors of Readmission and Short-Term Mortality in Chondrosarcoma: A National Cancer Database Study

BACKGROUND

Limited data are available to inform the risk of readmission and short-term mortality in musculoskeletal oncology. The goal of this study was to identify factors independently associated with 30-day readmission and 90-day mortality following surgical resection of chondrosarcoma.

METHODS

We retrospectively reviewed 6653 patients following surgical resection of primary chondrosarcoma in the National Cancer Database (2004-2017). Both demographic and clinicopathologic variables were assessed for correlation with readmission and short-term mortality utilizing univariate and multivariate logistic regression modeling.

RESULTS

Of 220 readmissions (3.26%), risk factors independently associated with an increased risk of unplanned 30-day readmission included Charlson-Deyo Comorbidity Index (CDCC) (odds ratio [OR] 1.31; p = 0.027), increasing American Joint Committee on Cancer (AJCC) stage (OR 1.31; p = 0.004), undergoing major amputation (OR 2.38; p = 0.001), and axial skeletal location (OR 1.51; p = 0.028). A total of 137 patients died within 90 days of surgery (2.25%). Risk factors associated with increased mortality included the CDCC (OR 1.60; p = 0.001), increasing age (OR 1.06; p < 0.001), having Medicaid insurance status (OR 3.453; p = 0.005), living in a zip code with a higher educational attainment (OR 1.59; p = 0.003), increasing AJCC stage (OR 2.32; p < 0.001), longer postoperative length of stay (OR 1.015; p = 0.033), and positive surgical margins (OR 2.75; p = 0.001). Although a majority of the cohort did not receive radiation therapy (88.8%), receiving radiotherapy (OR 0.132; p = 0.010) was associated with a decreased risk of short-term mortality.

CONCLUSIONS

Several tumor, treatment, and patient factors can help inform the risk of readmission and short-term mortality in patients with surgically treated chondrosarcoma.

Nationwide analysis on the impact of peripheral vascular disease following primary total knee arthroplasty: A matched-control analysis

BACKGROUND

As the prevalence of peripheral vascular disease (PVD) continues to increase nationwide, studies demonstrating its effects following primary total knee arthroplasty (TKA) are limited. Therefore, the purpose of this study was to evaluate whether patients with PVD have higher rates of: 1) in-hospital lengths of stay (LOS); 2) readmissions; 3) medical complications; 4) implant-related complications; and 5) costs of care.

METHODS

Using a nationwide database, patients with PVD undergoing primary TKA were identified and matched to controls in a 1:5 ratio by age, sex, and medical comorbidities. The query yielded 1,547,092 between the cohorts. Outcomes analyzed included: in-hospital LOS, readmission rates, complications, and costs of care. A p-value less than 0.004 was considered statistically significant.

RESULTS

PVD patients had significantly longer in-hospital LOS (4-days vs. 3-days, p < 0.0001). Additionally, the study cohort had a higher incidence and odds (OR) of readmissions (20.5 vs. 15.2%; OR: 1.43, 95% CI: 1.42-1.45, p < 0.0001), medical complications (2.46 vs. 1.32%; OR: 1.88, CI: 1.83-1.94, p < 0.0001), and implant-related complications (3.82 vs. 2.18%; OR: 1.78, CI: 1.26-1.58, p < 0.0001). Additionally, the study found patients with PVD had higher day of surgery (p < 0.0001) and 90-day costs of care (p < 0.0001).

CONCLUSIONS

After adjusting for confounding variables the results of the study show patients with PVD undergoing primary TKA have longer in-hospital LOS; in addition to higher rates of complications, readmissions, and costs of care. The study can be utilized by orthopaedists to adequately counsel patients of the potential complications following their procedure.

National Trends in Post-Acute Care Costs Following Total Knee Arthroplasty From 2007 to 2016

BACKGROUND

Post-acute care continues to represent a target for cost savings with increasing popularity of value-based payment models in total knee arthroplasty (TKA). Rapid recovery and accelerated rehabilitation protocols have been successful in reducing costs at the institutional level, but national trends are less clear. This study aimed to determine if advancements in perioperative care led to a reduction in post-acute care costs and resource utilization following TKA.

METHODS

We reviewed a consecutive series of 79,843 primary TKA patients from the Humana claims dataset from 2007 to 2016. Post-acute care costs included any claims within 90 days of surgery for subacute or inpatient rehabilitation, home health, outpatient or emergency visits, prescription medications, physical therapy, and readmissions. Demographics, episode-of-care and post-acute care costs, readmissions, and discharge disposition were compared. Controlling for demographics and comorbidities, multivariate regression analyses were performed to compare trends in discharge disposition and post-acute care costs.

RESULTS

From 2007 to 2016, the average episode-of-care costs ($46,754 vs $31,856) and post-acute care costs per patient decreased ($20,224 vs $13,498). Rates of discharge to skilled nursing facilities (25.0% vs 22.5%) and inpatient rehabilitation also declined (12.4% vs 2.1%). Readmissions also decreased (8.1% vs 7.1%) saving an average of $324 per patient. When compared to 2007-2012, total costs declined most rapidly after 2013 primarily due to a $3516 (21%) decrease in post-acute spending.

CONCLUSION

There has been a substantial decline in post-acute care costs and resource utilization following TKA, with the largest decrease occurring following the introduction of Medicare bundled payment models in 2013.

Risk Factors for Readmissions After Total Joint Replacement: A Meta-Analysis

»

We performed a systematic review and meta-analysis of predictive modeling studies examining the risk of readmission after total hip arthroplasty (THA) and total knee arthroplasty (TKA) in order to synthesize key risk factors and evaluate their pooled effects. Our analysis entailed 15 compliant studies for qualitative review and 17 compliant studies for quantitative meta-analysis.

»

A qualitative review of 15 predictive modeling studies highlighted 5 key risk factors for risk of readmission after THA and/or TKA: age, length of stay, readmission reduction policy, use of peripheral nerve block, and type of joint replacement procedure.

»

A meta-analysis of 17 studies unveiled 3 significant risk factors: discharge to a skilled nursing facility rather than to home (approximately 61% higher risk), surgery at a low- or medium-procedure-volume hospital (approximately 26% higher risk), and the presence of patient obesity (approximately 34% higher risk). We demonstrated clinically meaningful relationships between these factors and moderator variables of procedure type, source of data used for model-building, and the proportion of male patients in the cohort.

»

We found that many studies did not adhere to gold-standard criteria for reporting and study construction based on the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) and NOS (Newcastle-Ottawa Scale) methodologies.

»

We recommend that these risk factors be considered in clinical practice and future work alike as they relate to surgical, discharge, and care decision-making. Future work should also prioritize greater observance of gold-standard reporting criteria for predictive models.

Identifying Modifiable and Non-modifiable Risk Factors of Readmission and Short-Term Mortality in Osteosarcoma: A National Cancer Database Study

BACKGROUND

There are limited data to inform risk of readmission and short-term mortality in musculoskeletal oncology. The goal of this study was to identify factors independently associated with 30-day readmission and 90-day mortality following surgical resection of osteosarcoma.

METHODS

We retrospectively reviewed patients (n = 5293) following surgical resection of primary osteosarcoma in the National Cancer Database (2004-2015). Univariate and multivariate methods were used to correlate variables with readmission and short-term mortality.

RESULTS

Of 210 readmissions (3.97%), risk factors independently associated with unplanned 30-day readmission included comorbidity burden (odds ratio [OR] 2.4, p = 0.042), Medicare insurance (OR 1.9, p = 0.021), and axial skeleton location (OR 1.5, p = 0.029). A total of 91 patients died within 90 days of their surgery (1.84%). Risk factors independently associated with mortality included age (hazard ratio 1.1, p < 0.001), increasing comorbidity burden (OR 6.6, p = 0.001), higher grade (OR 1.7, p = 0.007), increasing tumor size (OR 2.2, p = 0.03), metastatic disease at presentation (OR 8.5, p < 0.001), and amputation (OR 2.0, p = 0.04). Chemotherapy was associated with a decreased risk of short-term mortality (p < 0.001).

CONCLUSIONS

Several trends were clear: insurance status, tumor location and comorbidity burden were independently associated with readmission rates, while age, amputation, grade, tumor size, metastatic disease, and comorbidity burden were independently associated with short-term mortality.

Predictors for readmission following primary total hip and total knee arthroplasty

BACKGROUND

Readmission following total joint arthroplasty has become a closely watched metric for many hospitals in the United States due to financial penalties imposed by Centers for Medicare and Medicaid Services. The purpose of this study was to identify both preoperative and postoperative reasons for readmission within 30 days following primary total hip and total knee arthroplasty (TKA).

METHODS

Retrospective data were collected for patients who underwent elective primary total hip arthroplasty (THA; CPT code 27130) and TKA (27447) from 2008 to 2013 at our institution. The sample was separated into readmitted and nonreadmitted cohorts. Demography, comorbidities, Charlson comorbidity index (CCI), operative parameters, readmission rates, and causes of readmission were compared between the groups using univariate and multivariate regression analysis.

RESULTS

There were 42 (3.4%) and 28 (2.2%) readmissions within 30 days for THA and TKA, respectively. The most common cause of readmission within 30 days following total joint arthroplasty was infection. Trauma was the second most common reason for readmission of a THA while wound dehiscence was the second most common cause for readmission following TKA. With univariate regression, there were multiple associated factors for readmission among THA and TKA patients, including body mass index, metabolic equivalent (MET), and CCI. Multivariate regression revealed that hospital length of stay was significantly associated with 30-day readmission after THA and TKA.

CONCLUSION

Patient comorbidities and preoperative functional capacity significantly affect 30-day readmission rate following total joint arthroplasty. Adjustments for these parameters should be considered and we recommend the use of CCI and METs in risk adjustment models that use 30-day readmission as a marker for quality of patient care.

LEVEL OF EVIDENCE

Level III/Retrospective cohort study.

A Preoperative Risk Prediction Tool for Discharge to a Skilled Nursing or Rehabilitation Facility After Total Joint Arthroplasty

BACKGROUND

Discharge to rehabilitation or a skilled nursing facility (SNF) after total joint arthroplasty remains a primary driver of cost excess for bundled payments. An accurate preoperative risk prediction tool would help providers and health systems identify and modulate perioperative care for higher risk individuals and serve as a vital tool in preoperative clinic as part of shared decision-making regarding the risks/benefits of surgery.

METHODS

A total of 10,155 primary total knee (5,570, 55%) and hip (4,585, 45%) arthroplasties performed between June 2013 and January 2018 at a single institution were reviewed. The predictive ability of 45 variables for discharge location (SNF/rehab vs home) was tested, including preoperative sociodemographic factors, intraoperative metrics, postoperative labs, as well as 30 Elixhauser comorbidities. Parameters surviving selection were included in a multivariable logistic regression model, which was calibrated using 20,000 bootstrapped samples.

RESULTS

A total of 1786 (17.6%) cases were discharged to a SNF/rehab, and a multivariable logistic regression model demonstrated excellent predictive accuracy (area under the receiver operator characteristic curve: 0.824) despite requiring only 9 preoperative variables: age, partner status, the American Society of Anesthesiologists score, body mass index, gender, neurologic disease, electrolyte disorder, paralysis, and pulmonary circulation disorder. Notably, this model was independent of surgery (knee vs hip). Internal validation showed no loss of accuracy (area under the receiver operator characteristic curve: 0.8216, mean squared error: 0.0004) after bias correction for overfitting, and the model was incorporated into a readily available, online prediction tool for easy clinical use.

CONCLUSION

This convenient, interactive tool for estimating likelihood of discharge to a SNF/rehab achieves excellent accuracy using exclusively preoperative factors. These should form the basis for improved reimbursement legislation adjusting for patient risk, ensuring no disparities in access arise for vulnerable populations.

LEVEL OF EVIDENCE

III.

Same-Day vs One-Day Discharge: Rates and Reasons for Emergency Department Return After Hospital-Based Total Joint Arthroplasty

BACKGROUND

As short stay and outpatient total joint arthroplasties (TJAs) are more widely adopted, it is important to assess whether reducing length of stay leads to increased emergency department (ED) visits or readmissions.

METHODS

This is a retrospective review of 1743 primary TJA patients with same-day discharge (SDD) or 1-day length of stay between January and December 2019. Patients who returned to the ED or were readmitted within 30 days of TJA were identified, and chart review was performed to identify their primary reason for revisit.

RESULTS

Patients discharged on the day of surgery (n = 203, 11.6%) were more likely to be younger (P < .001) and have a lower body mass index (total hip arthroplasty, P = .018; total knee arthroplasty, P < .001) and American Society of Anesthesiologists score (P < .001). The overall rate of return was 6.3%, and 1.3% of patients were readmitted. Controlling for age, gender, body mass index, surgery type, and American Society of Anesthesiologists, patients selected for SDD were not found to be at higher risk of return to the ED compared to 1-day length of stay patients (4.9% vs 6.4%, odds ratio 0.980, 95% confidence interval 0.484-1.984, P = .956).

CONCLUSION

SDD of eligible patients does not increase the risk of 30-day return to the ED. Continued analysis of risk factors for return and readmission will improve prospective identification of patients who can safely be discharged on the day of surgery, and future quality improvement initiatives should target the most common reasons for ED return.

Differences in Immediate Postoperative Outcomes Between Robotic-Assisted TKA and Conventional TKA

Background

Robotic-assisted total knee arthroplasty (TKA) is a growing technique in adult reconstruction. The variations between robotic-assisted and conventional TKA could lead to changes in immediate postoperative outcomes. We aimed to evaluate for differences in postoperative pain, discharge day, as well as post-hospital disposition (home vs subacute rehabilitation facility [SAR]) between robotic-assisted and conventional TKA.

Methods

We retrospectively identified 2 cohorts of patients who underwent either conventional or robotic-assisted TKA between January 2019 and July 2019. Their average pain scores from postoperative day 0, day 1, and day 2 were recorded. Their postoperative discharge day was recorded, as well as their disposition to either home or a SAR. Preoperatively, all patients are offered robotic-assisted TKA, and only those who want the procedure and undergo a preoperative CT scan receive the robotic-assisted surgery. Statistical analysis was conducted using SPSS.

Results

One hundred sixty-six patients were identified with 83 in each cohort. No differences between age, race, and gender were found. Despite minor variations in pain levels, the overall postoperative pain score analysis did not strongly favor one technique over the other. The robotic-assisted group had a significantly higher amount of patients discharged to home instead of a SAR and also had a shorter time to discharge than the conventional group.

Conclusions

Robotic-assisted TKA has similar postoperative pain scores compared with conventional TKA. The robotic-assisted cohort demonstrated other benefits including earlier discharge and are more likely to be discharged home instead of a SAR.

Thirty-Day Readmissions After Aseptic Revision Total Hip Arthroplasty: Rates, Predictors, and Reasons Vary by Surgical Indication

BACKGROUND

Revision total hip arthroplasty (rTHA) is performed for different surgical indications. With increasing attention being focused to minimize readmission risk, the National Surgical Quality Improvement Program (NSQIP) was used to assess 30-day readmissions after rTHA for 3 aseptic indications.

METHODS

Patients undergoing rTHA were identified in the 2013-2017 NSQIP and classified as being performed for osteolysis/aseptic loosening, recurrent dislocation, or periprosthetic fracture. Rates and predictors of 30-day readmission were determined by indication. Reasons for readmission were also assessed as being either related or unrelated to the surgical site.

RESULTS

Of 6104 patients meeting inclusion criteria, osteolysis/aseptic loosening represented 46% of the revisions (readmission rate: 6.2%), recurrent dislocation represented 33.2% (readmission rate: 10.9%), and periprosthetic fractures represented 20.9% (readmission rate: 9.3%). These readmission rates represented statistically significant variation across the 3 indications (P < .0001). On multivariate analysis, demographic, procedural, and postoperative predictors of readmission varied by indication. The osteolysis/aseptic loosening and periprosthetic fracture cohorts had surgical site-related readmissions in 43.9% and 42.4% of readmitted cases, respectively. On the contrary, readmissions after rTHA performed for recurrent dislocation were mostly surgical site-related (63.3%) and driven primarily by a postoperative dislocation. Further multivariate analysis showed that the rTHA indication of recurrent dislocation itself was the strongest predictor (odds ratio, 3.34; P < .0001) of a postoperative dislocation leading to a 30-day readmission.

CONCLUSION

Thirty-day readmissions varied from 6.2% to 10.9% based on surgical indication for aseptic rTHA. Reasons for readmission also differed across the 3 cohorts. These findings may aid postoperative care pathways and protocol optimization.

Postacute Care Utilization in Postsurgical Orthogeriatric Hip Fracture Care

INTRODUCTION

Among surgical patients, utilization of institutional-based postacute care (PAC) presents a notable financial burden and is associated with increased risk of complications and mortality rates when compared with discharge home. The purpose of this study was to identify predictors of postdischarge disposition to PAC in geriatric patients after surgical fixation of native hip fractures.

METHODS

We have done a query of the American College of Surgeons National Surgical Quality Improvement Program to identify geriatric (≥65 years) patients who sustained surgical femoral neck, intertrochanteric, and subtrochanteric hip fractures in 2016. Multivariate regression was used to compute risk factors for discharge to and prolonged stay (>30 days) in PAC.

RESULTS

Eight thousand one hundred thirty-three geriatric hip fracture patients with sufficient follow-up data were identified. Of these, 6,670 patients (82.0%) were initially discharged to PAC after their hip fracture episode of care, and 2,986 patients (36.7%) remained in PAC for >30 days. Age (odds ratio [OR] 1.06 [1.05 to 1.08], P < 0.001), partial (OR 2.41 [1.57 to 3.71], P < 0.001) or total dependence (OR 3.03 [1.92 to 4.46], P < 0.001) for activities of daily living, dementia (OR 1.62 [1.33 to 1.96], P < 0.001), diabetes (OR 1.46 [1.14 to 1.85], P = 0.002), hypertension (OR 1.32 [1.10 to 1.58], P = 0.002), and total hospital length of stay (OR 1.04 [1.01 to 1.08], P = 0.006) were independent risk factors for discharge to PAC. Age (OR 1.05 [1.04 to 1.06], P < 0.001), partial (OR 2.86 [1.93 to 3.79], P < 0.001) or total dependence (OR 3.12 [1.45 to 4.79], P < 0.001) for activities of daily living, American Society of Anesthesiologist's classification (OR 1.27 [1.13 to 1.43], P < 0.001), dementia (OR 1.49 [1.28 to 1.74], P < 0.001), and total hospital length of stay (OR 1.10 [1.08 to 1.13], P < 0.001) were independent risk factors for prolonged PAC stay >30 days.

DISCUSSION

Discharge to PAC is the norm among patients undergoing hip fracture surgery. Provider foreknowledge of risk factors may help improve hip fracture outcomes and decrease healthcare costs.

Effect of statewide reduction in extended care facility use after joint replacement on hospital readmission

BACKGROUND

Extended care facility use is a primary driver of variation in hospitalization-associated health care payments and is increasingly a focus for savings under episode-based payment. However, concerns remain that extended care facility limits could incur rising readmissions, emergency department use, or other costs. We analyzed the effects of a statewide value improvement initiative to decrease extended care facility use after lower extremity arthroplasty on extended care facility use, readmission, emergency department use, and payments.

METHODS

We performed a retrospective cohort study using complete claims from the Michigan Value Collaborative for patients undergoing lower extremity joint replacement. We compared the change in extended care facility use before (2012-2013) and after (2016-2017) the aforementioned statewide initiative with 90-day postacute care, readmission, and emergency department rates and payments using t tests.

RESULTS

Of the patients included, 68,537 underwent total knee arthroplasty; 27,131 underwent total hip arthroplasty. Statewide, extended care facility use and postacute care payments decreased (extended care facility: 27.5% before vs 18.1% after, payments: $4,999 vs $3,832, P < .0001) without increased readmission rates (8.0% vs 7.6%, P = .10) or payments ($1,087 vs $1,026, P = .14). Emergency department use increased (7.8% vs 8.9%, P < .0001). Per hospital, there was no association between extended care facility use change and readmission rate change (r = 0.05). Hospital change in extended care facility use ranged from +2.3% (no extended care facility decrease group) to -16.6% (large extended care facility decrease group) and was associated with lower total episode payments without differences in change in readmission rate/payments or emergency department use.

CONCLUSION

Despite decreased use of extended care facilities, there was no compensatory increase in readmission rate or payments. Reducing excess use of extended care facilities after joint replacement may be an important opportunity for savings in episode-based reimbursement.

Risk factors for manipulation under anaesthesia after total knee arthroplasty

Aims

Postoperative range of movement (ROM) is an important measure of successful and satisfying total knee arthroplasty (TKA). Reduced postoperative ROM may be evident in up to 20% of all TKAs and negatively affects satisfaction. To improve ROM, manipulation under anaesthesia (MUA) may be performed. Historically, a limited ROM preoperatively was used as the key harbinger of the postoperative ROM. However, comorbidities may also be useful in predicting postoperative stiffness. The goal was to assess preoperative comorbidities in patients undergoing TKA relative to incidence of postoperative MUA. The hope is to forecast those who may be at increased risk and determine if MUA is an effective form of treatment.

Methods

Prospectively collected data of TKAs performed at our institution’s two hospitals from August 2014 to August 2018 were evaluated for incidence of MUA. Comorbid conditions, risk factors, implant component design and fixation method (cemented vs cementless), and discharge disposition were analyzed. Overall, 3,556 TKAs met the inclusion criteria. Of those, 164 underwent MUA.

Results

Patients with increased age and body mass index (BMI) had decreased likelihood of MUA. For every one-year increase in age, the likelihood of MUA decreased by 4%. Similarly, for every one-unit increase in BMI the likelihood of MUA decreased by 6%. There were no differences in incidence of MUA between component type/design or fixation method. Current or former smokers were more likely to have no MUA. Surprisingly, patients discharged to home health service or skilled nursing facility were approximately 40% and 70% less likely than those discharged home with outpatient therapy to be in the MUA group. MUA was effective, with a mean increased ROM of 32.81° (SD 19.85°; -15° to 90°).

Conclusion

Younger, thinner patients had highest incidence of MUA. Effect of discharge disposition on rate of MUA was an important finding and may influence surgeons’ decisions. Interestingly, use of cement and component design (constraint) did not impact incidence of MUA. Level of Evidence II: Prospective cohort study. Cite this article: Bone Joint J 2020;102-B(6 Supple A):66–72.

Establishing a patient centered, outpatient total joint home recovery program within an integrated healthcare system

Outpatient total joint home recovery (HR) is a rapidly growing initiative being developed and employed at high volume orthopedic centers. Minimally invasive surgery, improved pain control and home health services have made HR possible. Multidisciplinary teams with members ranging from surgeons and anesthesiologists to hospital administrators, physical therapists, nurses and research analysts are necessary for success. Eligibility criteria for outpatient total joint arthroplasty will vary between medical centers. Surgeon preference in addition to medical comorbidities, social support, preoperative patient mobility and safety of the HR location are all factors to consider when selecting patients for outpatient total joint HR. As additional knowledge is gained, the next steps will be to establish 'best practices' and speciality society-endorsed guidelines for patients undergoing outpatient total joint arthroplasty.

Race, Discharge Disposition, and Readmissions After Elective Hip Replacement: Analysis of a Large Regional Dataset

Purpose: Total hip arthroplasty (THA) is one of the fastest growing procedures. There is increasing evidence that social determinants of health influence health care utilization and outcomes after THA, including postoperative care. We sought to examine how race impacts discharge destination after elective THA, and we assessed the impact of discharge destination on 90-day readmission to an acute care hospital. Methods: We conducted a retrospective study using data from the Pennsylvania Health Care Cost Containment Council Database. We included patients of African American (AA) or white race undergoing THA, discharge disposition (inpatient rehabilitation facility [IRF], skilled nursing facility [SNF], home health care (HHC), home), and 90-day readmission rates. Results: Our study included 93,493 primary elective THAs. Compared with whites, AAs were more likely to be discharged to an IRF or SNF or HHC than home after THA. In all age groups, discharge to an IRF, SNF, or HHC for postop care/rehab was associated with higher odds of 90-day readmission as compared with home. Conclusion: AA race was associated with higher odds of discharge to an institution (IRF/SNF) or HHC for post-THA care. Disposition to these were associated with significantly higher risk of 90-day readmission to acute care hospital compared with home.

Readmission Rates for One Versus Two-Midnight Length of Stay for Primary Total Knee Arthroplasty: Analysis of the Michigan Arthroplasty Registry Collaborative Quality Initiative (MARCQI) Database

BACKGROUND

The length of stay (LOS) in the hospital for total knee arthroplasty (TKA) has been declining over recent decades. The purpose of this study was to determine if patients with an LOS for TKA that includes only 1 midnight have an increased odds of 90-day readmission compared with those with a 2-midnight LOS. We also sought to identify any predictors of 90-day hospital readmission among those readmitted during our period of analysis.

METHODS

A retrospective review of the Michigan Arthroplasty Registry Collaborative Quality Initiative (MARCQI) database was performed to identify patients with a 1-midnight or 2-midnight LOS for TKA during a 5-year period. The primary end point of this study was inpatient readmission within the 90-day postoperative period. A multiple logistic regression model and propensity score matching were used to compare the odds of 90-day readmission between 1-midnight and 2-midnight LOS. The secondary end points of this study were 90-day complications.

RESULTS

There were 96,250 TKA procedures identified in the database, and 46,709 met our inclusion criteria for LOS. No difference in 90-day-readmission odds between patients with a 1-midnight LOS and those with a 2-midnight LOS for primary TKA was identified. Male sex, single marital status, age of ≥80 years, type-I diabetes, previous smoking, narcotic use prior to surgery, and a higher American Society of Anesthesiologists (ASA) scores increased the odds of 90-day readmission. Patients in the age group of ≥50 to <65 years, those with a higher preoperative hemoglobin level, and those with a positive social history of alcohol use were found to have decreased odds of readmission.

CONCLUSIONS

We found no association between the LOS for primary TKA (1 midnight compared with 2 midnights) and the 90-day readmission risk.

LEVEL OF EVIDENCE

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Defining and Optimizing Value in Total Joint Arthroplasty From the Patient, Payer, and Provider Perspectives

BACKGROUND

The purpose of this study is to define value in bundled total joint arthroplasty (TJA) from the differing perspectives of the patient, payer/employer, and hospital/provider.

METHODS

Demographic, psychosocial, clinical, financial, and patient-reported outcomes (PROs) data from 2017 to 2018 elective TJA cases at a multihospital academic health system were queried. Value was defined as improvement in PROs (preoperatively to 1 year postoperatively) for patients, improvement in PROs per $1000 of bundle cost for payers, and the normalized sum of improvement in PROs and hospital bundle margin for providers. Bivariate analysis was used to compare high value vs low value (>50th percentile vs <50th percentile). Multivariate analysis was performed to identify predictors.

RESULTS

A total of 280 patients had PRO data, of which 71 had Medicare claims data. Diabetes (odds ratio [OR], 0.45; P = .02) predicted low value for patients; female gender (OR, 0.25), hypertension (OR, 0.17), pulmonary disease (OR, 0.12), and skilled nursing facility discharge (OR, 0.17) for payers (P ≤ .03 for all); and pulmonary disease (OR, 0.16) and skilled nursing facility discharge (OR, 0.19) for providers (P ≤ .04 for all).

CONCLUSION

This is the first article to define value in TJA under a bundle payment model from multiple perspectives, providing a foundation for future studies analyzing value-based TJA.

Bundled Payments for Care Improvement: Health System Experience With Lower Extremity Joint Replacement at Higher and Lower Volume Hospitals

BACKGROUND

The Bundled Payments for Care Improvement (BPCI) initiative was introduced in 2013 to reduce Medicare healthcare costs while preserving or enhancing quality. We examined data from a metropolitan healthcare system comprised of 1 higher volume hospital and 4 lower volume hospitals that voluntarily elected to participate in the BPCI Major Joint Replacement of the Lower Extremity Model 2, beginning July 1, 2015. Stratifying the data by hospital volume, we determined how costs changed during the 16-month period when all 5 hospitals participated compared to the 1-year period preceding BPCI participation, where savings were achieved, and how the hospitals were rewarded.

METHODS

The Medicare data included the 90-day target for each episode and actual part A and part B spending for the anchor hospitalization plus all post-acute payments including inpatient rehabilitation, skilled nursing, home health, outpatient physical therapy, and hospital readmissions.

RESULTS

The mean episode of care cost decreased by 11.1% (from $21,324 to $18,953) at the higher volume hospitals and by 8.3% (from $25,724 to $23,584) at the lower volume hospitals during BPCI participation compared to the preceding year. The savings were achieved by reducing the use of inpatient rehabilitation, shortening the length of stay at skilled nursing facilities, and decreasing readmission rates. Although the higher volume hospital achieved an increased mean savings of $230 per episode compared to the lower volume hospitals ($2371 vs $2141), it was penalized $490 per episode after reconciling the actual Medicare expenditures with the BPCI targets while the lower volume hospitals received a mean reward of $315 per episode.

CONCLUSION

The BPCI initiative decreased costs and readmissions within our healthcare system. Despite substantial savings compared to the preceding year, the higher volume hospital's low target derived from its 2009-2012 baseline costs was not achieved which resulted in a penalty and led it to withdraw from the BPCI initiative in October 2016.

[Fractures of the ankle joint in elderly patients]

The number of ankle fractures in elderly patients is increasing. The aim of treatment of ankle fractures in the elderly is to guarantee a possible unlimited autonomy and quality of life for patients. This is achieved by minimization of the complications and impairments after ankle joint fractures. Decisive for the further course is the initial treatment. The results are essentially determined by the soft tissue management, reduction and stable osteosynthesis; however, an orthogeriatric co-management with the implementation of treatment paths and standard operating procedures is recommended. The advantages of an interdisciplinary cooperation of trauma surgeons and geriatricians are obvious in this situation.

Preoperative Weight Loss for Morbidly Obese Patients Undergoing Total Knee Arthroplasty: Determining the Necessary Amount

BACKGROUND

Many surgeons require or request weight loss among morbidly obese patients (those with a body mass index [BMI] of ≥40 kg/m) before undergoing total knee arthroplasty. We sought to determine how much weight reduction was necessary to improve operative time, length of stay, discharge to a facility, and physical function improvement.

METHODS

Using a retrospective review of cohort data that were prospectively collected from 2011 to 2016 at 1 tertiary institution, we identified 203 patients who were morbidly obese at least 90 days before the surgical procedure and had their BMI measured again at the immediate preoperative visit. All heights and weights were clinically measured. We used logistic and linear regression models that adjusted for preoperative age, sex, year of the surgical procedure, bilateral status, physical function (Patient-Reported Outcomes Measurement Information System [PROMIS]-10 physical component score [PCS]), mental function (PROMIS-10 mental component score [MCS]), and the Charlson Comorbidity Index.

RESULTS

Of the 203 patients in the study, 41% lost at least 5 pounds (2.27 kg) before the surgical procedure, 29% lost at least 10 pounds (4.54 kg), and 14% lost at least 20 pounds (9.07 kg). Among morbidly obese patients, losing 20 pounds before a total knee arthroplasty was associated with lower adjusted odds of discharge to a facility (odds ratio [OR], 0.28 [95% confidence interval (CI), 0.09 to 0.94]; p = 0.039), lower odds of extended length of stay of at least 4 days (OR, 0.24 [95% CI, 0.07 to 0.88]; p = 0.031), and an absolute shorter length of stay (mean difference, -0.87 day [95% CI, -1.39 to -0.36 days]; p = 0.001). There were no differences in operative time or PCS improvement. Losing 5 or 10 pounds was not associated with differences in any outcome.

CONCLUSIONS

Losing at least 20 pounds before total knee arthroplasty was associated with shorter length of stay and lower odds of facility discharge for morbidly obese patients, even while most patients remained morbidly or severely obese. Although there were no differences in operative time or physical function improvement, this has considerable implications for patient burden and cost reduction. Patients and providers may want to focus on larger preoperative weight loss targets.

LEVEL OF EVIDENCE

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

A multifaceted intervention to improve the quality of care for patients undergoing total joint arthroplasty

Knee and hip arthroplasties vary in cost, quality and outcomes. We developed a Lean quality improvement intervention for knee and hip arthroplasty patients encompassing the recognition, readiness, restoration and recovery phases of care. The intervention included standardised, evidence-based pathways, shared decision making, patient and family member engagement, and transdisciplinary rounding, implemented successively through a series of rapid process improvement workshops. We evaluated the intervention through run charts and time series analysis for 2005-2014. Outcomes included length of stay (LOS), 30-day readmission, discharge disposition, postsurgical complications and patient satisfaction. Included were 4253 total joint arthroplasty procedures, 1659 hip and 2594 knee. LOS decreased from 3.2 to 2.4 days postintervention for both hip and knee patients (p<0.001). The 30-day hospital readmission rate for hip patients decreased from 3.1% (18/576) to 1.1% (5/446, p=0.032) with knee patients unchanged. Discharge to home (vs rehabilitation facility or skilled nursing facility) increased from 72% (415/576) to 91% (405/446) (p<0.001) for hip patients, and from 70% (599/860) to 87% (578/663) for knee patients (p<0.001). Our standardised multifaceted Lean quality improvement programme was associated with reduced LOS, decreased readmission rates and improved discharge disposition in total knee and hip arthroplasty patients.

Unintended Bundled Payments for Care Improvement Consequences After Removal of Total Knee Arthroplasty From Inpatient-Only List

BACKGROUND

The Centers for Medicare and Medicaid Services beginning in 2013 introduced the Bundled Payments for Care Improvement (BPCI) initiative to test innovative payment and service delivery models. Early implementers of the BPCI program have shown decreased hospital length of stays, discharges to inpatient facilities, and readmission rates with overall cost savings. Removal of total knee arthroplasty from the Medicare inpatient-only list may potentially cause substantial changes in patients included in BPCI bundles in 2018.

METHODS

The 2017 Centers for Medicare and Medicaid Services data were used to compare total expenditures of diagnosis-related groups 469 and 470. Medicare patients who underwent total knee arthroplasty between January 2017 and December 2017 were defined as group one (n = 1024) and expenditures were compared to group two patients (n = 631) that included only those patients staying greater than 24 hours. Postacute events within the 90-day episode including admission to an inpatient rehabilitation facility/skilled nursing facility (SNF), home health (HH), and readmissions were analyzed. Expenditures were converted to 2018 dollars using Consumer Price Index. Statistical analysis of expenditures was performed with Wilcoxon Tests.

RESULTS

Median expenditures were $15,587 (interquartile range [IQR] $13,915-$17,684) for group 1 and $16,706 (IQR $15,333-$19,247) for group 2 (P < .001). Median postacute care spend was $3817 (IQR $2431-$5057) for group 1 and $4195 (IQR $3049-$6064) for group 2 patients (P < .001). Compared with group 1 patients, group 2 patients had a higher rate of SNF admissions (21% vs 13%), inpatient rehabilitation facility admissions (0.16% vs 0.1%), HH (72% vs 69%), and readmissions (5% vs 4%).

CONCLUSION

Implications of the removal of total knee arthroplasty from the inpatient-only list could potentially remove up to 40% of patients from the BPCI program leading to substantially less savings on average $1100 per patient. Remaining bundle patients are also more likely to require HH and SNF after discharge.

Seizure comorbidity boosts odds of 30-day readmission after an index hospitalization for sepsis

OBJECTIVE

The objective of this study was to evaluate the association between comorbid seizures and hospital readmissions within 30 days following an index hospitalization for sepsis.

METHODS

We analyzed data from 445,489 adult discharges derived from the 2014 National Readmission Database, to evaluate the association of an International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis of seizure during an index hospitalization for sepsis and 30-day readmission rates. We excluded patients who died during hospitalization and those who had missing information on the length of stay or were discharged in December 2014. Prespecified groups were compared by their 30-day readmission and seizure status. We applied a multivariable logistic regression analysis to assess the independent association between seizure and readmission.

RESULTS

Nearly one out of 15 patients discharged with a primary diagnosis of sepsis had comorbid seizures, of which 97% were status epilepticus. Patients with sepsis and comorbid seizures were 30% more likely to be readmitted within 30-days postdischarge, compared to those with sepsis and no comorbid seizures. Additional factors associated with a significantly higher risk for hospital readmission included male sex, age 45-84 years, increased length of stay and cost of primary admission, greater medical comorbidities, and discharge destination. Patients with seizures during their index hospitalization were significantly more likely to have also had a concurrent stroke or the central nervous system (CNS) infection compared with patients without seizures.

CONCLUSIONS

Seizures are not uncommon, and patients with sepsis and comorbid seizures are 30% more likely to be readmitted within 30-days postdischarge, compared to those with sepsis and no comorbid seizures.