Racial disparities in post-operative complications and discharge destination following total joints arthroplasty: a national database study

Racial Disparities in Treatment and Outcomes of Patients With Hepatitis C Undergoing Elective Total Joint Arthroplasty

BACKGROUND

African Americans have the highest prevalence of chronic Hepatitis C virus (HCV) infection. Racial disparities in outcome are observed after elective total hip arthroplasty (THA) and total knee arthroplasty (TKA). This study sought to identify if disparities in treatments and outcomes exist between Black and White patients who have HCV prior to elective THA and TKA.

METHODS

Patient demographics, comorbidities, HCV characteristics, perioperative variables, in-hospital outcomes, and postoperative complications at 1-year follow-up were collected and compared between the 2 races. Patients who have preoperative positive viral load (PVL) and undetectable viral load were identified. Chi-square and Fisher's exact tests were used to compare categorical variables, while 2-tailed Student's Kruskal-Wallis t-tests were used for continuous variables. A P value of less than .05 was statistically significant.

RESULTS

The liver function parameters, including aspartate aminotransferase and model for end-stage liver disease scores, were all higher preoperatively in Black patients undergoing THA (P = .01; P < .001) and TKA (P = .03; P = .003), respectively. Black patients were more likely to undergo THA (65.8% versus 35.6%; P = .002) and TKA (72.1% versus 37.3%; 0.009) without receiving prior treatment for HCV. Consequently, Black patients had higher rates of preoperative PVL compared to White patients in both THA (66% versus 38%, P = .006) and TKA (72% versus 37%, P < .001) groups. Black patients had a longer length of stay for both THA (3.7 versus 3.3; P = .008) and TKA (4.1 versus 3.0; P = .02).

CONCLUSIONS

The HCV treatment prior to THA and TKA with undetectable viral load has been shown to be a key factor in mitigating postoperative complications, including joint infection. We noted that Black patients were more likely to undergo joint arthroplasty who did not receive treatment and with a PVL. While PVL rates decreased over time for both races, a significant gap persists for Black patients.

Age-Based Heuristics Bias Treatment of Displaced Femoral Neck Fractures in the Elderly

Background

Surgeons performing arthroplasty for femoral neck fractures may rely on mental shortcuts (heuristics) when choosing total hip arthroplasty (THA) vs hemiarthroplasty (HA). We sought to quantify the extent to which age-based heuristics drive decision-making.

Methods

We identified all Medicare beneficiaries from 2017-2018 with femoral neck fractures who underwent THA or HA. We compared the likelihood of THA vs HA among patients admitted within 4 weeks before vs 4 weeks after their birthday for each age under the hypothesis that these cohorts would be similar except for numerical age. We controlled for race/ethnicity, sex, comorbidities, poverty status, and hospital census region in a multivariable regression that included facility-level cluster effects. We generated predicted/adjusted probabilities for THA vs HA for different age transition points.

Results

Thirteen thousand three hundred sixty-six elderly patients were included. One thousand eight hundred sixty-five (14%) received THA and 11,501 (86%) received HA. The likelihood of THA decreased from 50.3% among patients almost 67 to 8% among those ≥85 (P < .001). We found significant decreases in likelihood of THA across age transitions. The largest decrement was at age transition 69 (THA likelihood 28.7% for newly 69 vs 43.3% for almost 69, 33.7% relative change). Female gender, Black race, higher comorbidity burden, and lower socioeconomic status were also associated with a lower likelihood of THA.

Conclusions

Our data demonstrate that patient age transitions seem to influence the choice of THA vs HA. Further research is needed to develop data-driven surgical decision aids for this population.

Caprini guideline indicated venous thromboembolism (VTE) prophylaxis among inpatient surgical patients: are there racial/ethnic differences in practice patterns and outcomes?

BACKGROUND

While racial disparity in surgical mortality due to venous thromboembolism (VTE) has improved, a gap persists. Our study aim was to determine differences in VTE prevention practices and their impact on outcomes among racial surgical cohorts.

METHODS

Elective surgeries performed between 1.1.2016 and 5.31.2021 were included. Racial/ethnic cohorts were propensity-matched 1:1 to non-Hispanic White (NHW) patients, and outcomes were compared using unadjusted logistic regression. Match cohort balance was assessed using absolute standardized mean differences and linear model analysis of variance (ANOVA). Pearson's Chi-square tests evaluated bi-variate associations. Conditional logistic regression to compare outcomes between matched groups. Odds ratios, 95 ​% confidence intervals, and p-values are reported. Analyses were performed using R version 4.1.2 and the R package Matchit.

RESULTS

Non-Hispanic other race (NHOR) (vs. NHW) patients were less likely to receive inpatient prophylaxis (OR 0.86, CI:0.76-0.98). Appropriate prophylaxis resulted in similar VTE for NHB (p ​= ​0.71) and Hispanic (p ​= ​0.06), compared to NHW patients. Inpatient bleeding was higher in Hispanic patients with a higher likelihood of receiving appropriate prophylaxis (OR 1.94, CI:1.16-3.32) and NHOR patients with a lower likelihood (OR 1.90, CI:1.10-3.36) CONCLUSION: Postoperative VTE was similar for minority patients receiving appropriate prophylaxis, compared to NHW patients. Inpatient bleeding was more likely in Hispanic and NHOR patients but may not be related to receiving appropriate prophylaxis. NHOR patients were less likely to receive inpatient thromboprophylaxis.

Analysis of the incidence and risk factors of blood transfusion in total knee revision: a retrospective nationwide inpatient sample database study

OBJECTIVE

This study sought to determine the incidence and risk factors of blood transfusion among patients undergoing total knee revision (TKR) using a nationwide database.

METHODS

A retrospective data analysis was conducted based on the Nationwide Inpatient Sample (NIS), enrolling patients who underwent TKR from 2010 to 2019 with complete information. The patients were divided into two groups based on whether they received blood transfusion or not. The demographic characteristics (race, sex, and age), length of stay (LOS), total charge of hospitalization, hospital characteristics (admission type, insurance type, bed size, teaching status, location, and region of hospital), hospital mortality, comorbidities, and perioperative complications were analyzed. Finally, we conducted univariate and multivariate logistic regression to identify factors that were associated with TKR patients to require blood transfusion.

RESULTS

The NIS database included 115,072 patients who underwent TKR. Among them, 14,899 patients received blood transfusion, and the incidence of blood transfusion was 13.0%. There was a dramatic decrease in the incidence over the years from 2010 to 2019, dropping from 20.4 to 6.5%. TKR patients requiring transfusions had experienced longer LOS, incurred higher total medical expenses, utilized Medicare more frequently, and had increased in-hospital mortality rates (all P < 0.001). Independent predictors for blood transfusion included advanced age, female gender, iron-deficiency anemia, rheumatoid disease, chronic blood loss anemia, congestive heart failure, coagulopathy, uncomplicated diabetes, lymphoma, fluid and electrolyte disorders, metastatic carcinoma, other neurological diseases, paralysis, peripheral vascular disorders, pulmonary circulation disorders, renal failure, valvular disease, and weight loss. In addition, risk factors for transfusion in TKR surgery included sepsis, acute myocardial infarction, deep vein thrombosis, pulmonary embolism, gastrointestinal bleeding, heart failure, renal insufficiency, pneumonia, wound infection, lower limb nerve injury, hemorrhage/seroma/hematoma, wound rupture/non healing, urinary tract infection, acute renal failure, and postoperative delirium.

CONCLUSIONS

Our findings highlight the importance of recognizing the risk factors of blood transfusion in TKR to reduce the occurrence of adverse events.

Disparities Associated With Total Joint Arthroplasty Transfusion Rates

BACKGROUND

Infections, readmissions, and mortalities after total joint arthroplasty (TJA) are serious complications, and transfusions have been associated with increased complication rates following TJA. Certain populations, including women, Black patients, patients who have public insurance and older adults have higher risks of transfusion. Recently, there has been a decline in transfusion rates and a greater emphasis on equity in medicine. This study examined whether disparities in transfusion rates still exist and what variables influence rates over time.

METHODS

We used a health care system database to identify 5,435 total knee arthroplasty (TKA) and 2,105 total hip arthroplasty (THA) patients from 2013 to 2021. Transfusion rates were 2.9 and 3.1% in the TKA and THA arthroplasty groups, respectively. White race represented 67.1 and 69.8% of the TKA and THA groups, respectively. Fisher exact and Wilcoxon rank sum tests were used to compare categorical and continuous variables. Multivariable logistic regressions were performed to predict transfusion rates within 5 days of surgery and adjust for potential confounders.

RESULTS

Transfusion rates declined over time. However, Black patients had a higher rate of transfusion than White patients despite similar hemoglobin levels, 5.1 versus 1.8% (P < .001) in the TKA group and 4.1 versus 2.7% (P = .103) in the THA group. Following adjustment, the biggest factor associated with a higher transfusion risk in the TKA group was being Black (adjusted odds ratio = 2.2, 95% confidence interval = 1.55 to 3.13).

CONCLUSIONS

Transfusion rates for TJA patients are declining; however, Black patients continued to receive transfusions at higher rates in patients receiving TKA.

RAPT and AM-PAC "6-Clicks": Do They Correlate on Predicting Discharge Destination After Total Joint Arthroplasty?

Background: The Risk Assessment and Prediction Tool (RAPT) and the Activity Measure for Post-Acute Care "6-Clicks" Mobility Score (AM-PAC) are validated discharge planning tools for patients undergoing total hip arthroplasty (THA) and total knee arthroplasty (TKA). Planning for discharge with these tools considers very different factors and it is important to determine if they relate. Purpose: We sought to determine whether the preoperative RAPT score would correlate with postoperative AM-PAC score for predicting discharge destination for THA and TKA populations. Secondarily, we sought to examine whether the AM-PAC and RAPT scores would remain statistically significant predictors of discharge destination despite covariates. Methods: A retrospective cohort study was performed for patients who underwent THA or TKA from January 2020 to December 2022 at a specialty orthopedic hospital. Primary variables included the RAPT score, the AM-PAC score, and discharge disposition. Correlation between AM-PAC and RAPT scores was tested using Pearson's correlation coefficient, and association between both scores and discharge destination was tested using chi-square tests and multivariable logistic regression. Results: Our comparison of AM-PAC scores and RAPT scores found a statistically significant, positive correlation in both THA and TKA patients. Regression analysis found that increased RAPT and AM-PAC scores resulted in higher odds of being discharged home for both populations, after adjusting for all other variables. In both cohorts, patients discharged to a facility were more likely to be female, be over the age of 70 years, have Medicare/Medicaid insurance, and have a higher number of preoperative social work visits or any incidence of an intraoperative or hospital complication. Conclusions: This retrospective study found that RAPT score correlated with AM-PAC score for predicting discharge destination for elective THA and TKA populations, suggesting that these scores may be predictors of home discharge destination even when accounting for covariates. Further study is recommended.

Disparities in postoperative total shoulder arthroplasty outcomes between Black and White patients

Background

Despite the rise in surgical volume for total shoulder arthroplasty (TSA) procedures, racial disparities exist in outcomes between White and Black populations. The purpose of this study was to compare 30-day postoperative complication rates between Black and White patients following TSA.

Methods

The American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database was queried for all patients who underwent TSA between 2015 and 2019. Patient demographics and comorbidities were compared between cohorts using bivariate analysis. Multivariate logistic regression, adjusted for all significantly associated patient demographics and comorbidities, was used to identify associations between Black or African American race and postoperative complications.

Results

A total of 19,733 patients were included in the analysis, 18,669 (94.6%) patients in the White cohort and 1064 (5.4%) patients in the Black or African American cohort. Demographics and comorbidities that were significantly associated with Black or African American race were age 40-64 years (P < .001), body mass index ≥40 (P < .001), female gender (P < .001), American Society of Anesthesiologists classification ≥3 (P < .001), smoking status (P < .001), non-insulin and insulin dependent diabetes mellitus (P < .001), hypertension requiring medication (P < .001), disseminated cancer (P = .040), and operative duration ≥129 minutes (P = .002). Multivariate logistic regression identified Black or African American race to be independently associated with higher rates of readmission (odds ratio: 1.42, 95% confidence interval: 1.05-1.94; P = .025).

Conclusion

Black or African American race was independently associated with higher rates of 30-day readmission following TSA.

The utilization of artificial neural networks for the prediction of 90-day unplanned readmissions following total knee arthroplasty

BACKGROUND

A reliable predictive tool to predict unplanned readmissions has the potential to lower readmission rates through targeted pre-operative counseling and intervention with respect to modifiable risk factors. This study aimed to develop and internally validate machine learning models for the prediction of 90-day unplanned readmissions following total knee arthroplasty.

METHODS

A total of 10,021 consecutive patients underwent total knee arthroplasty. Patient charts were manually reviewed to identify patient demographics and surgical variables that may be associated with 90-day unplanned hospital readmissions. Four machine learning algorithms (artificial neural networks, support vector machine, k-nearest neighbor, and elastic-net penalized logistic regression) were developed to predict 90-day unplanned readmissions following total knee arthroplasty and these models were evaluated using ROC AUC statistics as well as calibration and decision curve analysis.

RESULTS

Within the study cohort, 644 patients (6.4%) were readmitted within 90 days. The factors most significantly associated with 90-day unplanned hospital readmissions included drug abuse, surgical operative time, and American Society of Anaesthesiologist Physical Status (ASA) score. The machine learning models all achieved excellent performance across discrimination (AUC > 0.82), calibration, and decision curve analysis.

CONCLUSION

This study developed four machine learning models for the prediction of 90-day unplanned hospital readmissions in patients following total knee arthroplasty. The strongest predictors for unplanned hospital readmissions were drug abuse, surgical operative time, and ASA score. The study findings show excellent model performance across all four models, highlighting the potential of these models for the identification of high-risk patients prior to surgery for whom coordinated care efforts may decrease the risk of subsequent hospital readmission.

LEVEL OF EVIDENCE

Level III, case-control retrospective analysis.