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

Racial Disparities in Total Knee and Hip Arthroplasty in a Medically Underserved Community with a Diverse Population

INTRODUCTION

Previous studies have demonstrated lower total joint arthroplasty utilization rates and worse postoperative outcomes among non-White patients. Our study examined whether these disparities exist in the setting of a diverse population.

METHODS

This retrospective study included patients with a self-reported race who underwent total knee (TKA) or hip (THA) arthroplasty procedures in a racially diverse county. Patients who did not identify as White or Hispanic/Latino were excluded from the study due to small sample sizes. Demographic, intra and postoperative outcome differences were calculated. A multivariate logistic regression was developed to examine the association between patients' race and undesired postoperative outcomes.

RESULTS

Five hundred fifty-five patients were included in our study with 490 identifying as non-Hispanic/Latino White (88.8%) and 65 as Hispanic/Latino (11.2%). Hispanic/Latino-identifying patients were significantly younger (61.9 ± 12.79 versus 68.58 ± 9.00 years), had lower Charlson Comorbidity Index scores, and were more likely to use non-Medicare/Medicaid insurance. We observed no differences between our cohorts in postoperative adverse events, emergency department visits, and hospital readmissions. Patients' self-identified race was not correlated with undesired postoperative outcomes.

CONCLUSIONS

Although Hispanic/Latino-identifying patients constitute 50.2% of the county population of our study cohort, they accounted for only 11.2% of the patients in our study. This is noteworthy considering the lack of evidence suggesting a decreased prevalence of osteoarthritis among individuals of different races and ethnicities. Further, the demographic differences we observed suggest an exclusive Hispanic/Latino patient population utilizing TKA or THA procedures. Future studies controlling for risk factors and less invasive treatment options may explain these disparities.

Opioid use in thoracic surgery: a retrospective study on postoperative complications

Background

Opioids are important medications that are used to control postoperative pain. The enhanced recovery after surgery (ERAS) program has reduced opioid use after surgery. In a surgical practice with a robust ERAS program, we wanted to determine if there was a relationship between in-hospital opioid use and postoperative complications.

Methods

We performed a retrospective nested case-control study of patients who underwent thoracic surgical intervention at the Houston Methodist Hospital (HMH) between 11/2020 and 11/2021 from the thoracic surgery database with hospital morphine milligram equivalent (MME) information, comparing patients who did and did not experience postoperative complications. We determined the total MME and average daily MME patients received during their hospitalization. We performed receiver operating characteristic (ROC) curve analysis with the Youden index to determine the optimal cutoff points for total MME and daily MME. We performed univariable and multivariable logistic regression analyses of the factors associated with postoperative complications.

Results

A total of 419 patients were included who were mostly female (59%) and white (75%). Most patients underwent either foregut surgery (52%) or lung surgery (25%). Of the patients, 160 (38%) were on home pain medication before surgery, and 52 (12.4%) were on opioid pain medication before surgery. The median total MME during hospitalization was 73 mg, with a median average daily MME of 30 mg. There were 37 patients (8.8%) who experienced postoperative complications. Patients who had complications had a significantly higher median total MME of 135 [interquartile range (IQR) 73.0, 743.0] vs. 70 (IQR 45, 108) mg; P<0.001. Patients with a total MME ≥241 mg were more than four times more likely to have postoperative complications than those with an MME <241 mg (31.0% vs. 5.3%; P<0.001). Patients who received daily MME ≥60 mg had significantly more postoperative complications (20.0% vs. 6.8%; P=0.001). Multivariate logistic regression analysis showed that Hispanic ethnicity [odds ratio (OR) 4.33; 95% confidence interval (CI): 1.63, 11.51; P=0.003], operation duration (OR 1.01; 95% CI: 1.00, 1.01; P=0.01), and total MME (OR 1.001; 95% CI: 1.00, 1.002; P<0.001) were associated with postoperative complications.

Conclusions

Hospital opioid use was associated with complications after thoracic surgical procedures. The amount of opioid medication received during hospitalization was an independent risk factor for postoperative complications in our patient population. Efforts to decrease the amount of opioid medication used with multimodal non-opioid medications may help improve surgical outcomes.

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.

Racial disparity in postoperative complications following shoulder arthroplasty (SA): A systematic review and meta-analysis

Introduction

There has been an emphasis on racial disparities in orthopedic surgery. Recently, literature suggested Black and Hispanic patients at increased risk for adverse outcomes after Shoulder Arthroplasty (SA), but data regarding it is sparse and inconclusive. Therefore, we aim to conduct a meta-analysis to assess the role of racial disparity in causing adverse outcomes after SA.

Methods

Following PRISMA guidelines, electronic databases PubMed, Scopus, Cochrane, and Google Scholar were queried. Studies meeting inclusion criteria were included. Results were analyzed by pooling Odds ratios along 95% Confidence interval, using random-effects model on RevMan 5.3.

Results

A total of 14 selected studies evaluated 1,781,783 patients. We found Black patients at higher risk of post-SA complications than White patients (OR 1.32(95% CI 1.25-1.39; p < 0.00001; I2 = 0%). No significant risk in Hispanics compared to white patients (OR 0.94(95% CI 0.81-1.09); p = 0.41; I2 = 65%). Compared to whites, black patients were at higher risk of an extended length of stay, postoperative blood transfusion, sepsis, venous thromboembolism, and non-home discharge. Compared to white patients, Hispanics were at higher risk for postoperative blood transfusion. Whites showed increased risk for readmission.

Conclusion

Following SA, Black patients were likely to develop complications compared to White patients but no significant risk in Hispanics compared to Whites.

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.

Rotator Cuff Repair: Racial Disparities in Operative Time and Utilization of Arthroscopic Techniques

Background Racial disparities are prevalent within the field of orthopedics and include the utilization of varying resources as well as outcomes following surgery. This study investigates racial differences between Black and White patients in the surgical treatment of rotator cuff repair (RCR) and 30-day postoperative complications following RCR. Materials and methods Data were drawn from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database to create a study population consisting of Black and White patients who underwent RCR between 2015 and 2019. A bivariate analysis was conducted to compare patient demographics and comorbidities. Multivariate logistic regression, controlling for all significantly linked patient demographics and comorbidities, was performed to examine the relationships between Black race and complications. Results Our analysis included 32,073 patients, of whom 3,318 (10.3%) were Black and 28,755 (89.7%) were White. The female gender, younger age groups, greater BMI groups, ASA classification ≥3, cigarette use, and comorbid congestive heart failure (CHF), diabetes, and hypertension were all significantly associated with patients who identified as Black. We found no significant differences in 30-day postoperative complications between Black and White patients. Furthermore, Black patients were found to be independently associated with a greater likelihood of undergoing arthroscopic RCR versus open RCR, as well as experiencing a longer total operation time of ≥80 minutes. Conclusions We report no differences in 30-day postoperative complications between Black and White patients undergoing RCR between 2015 and 2019. However, Black race was independently associated with higher rates of arthroscopic RCR and longer operative times.

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.

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.