Does the Type of Reconstruction Matter? A Propensity Score Analysis of Immediate Postmastectomy Implant and Flap Reconstruction.

BACKGROUND: No randomized controlled trials have compared implant and flap reconstruction. Recently, worse longitudinal outcomes have been suggested for flap reconstruction. The authors compared long-term oncologic outcomes of postmastectomy breast reconstruction using propensity score matching. METHODS: A retrospective study of postmastectomy reconstruction was achieved using the Weill Cornell Breast Cancer Registry between 1998 and 2019. Patients were matched using propensity scores based on demographic, clinical, and surgical characteristics. Kaplan-Meier estimates, Cox-regression models, and restricted mean survival times (RMST) were used to evaluate patient outcomes. RESULTS: Before matching, 1395 implant and 586 flap patients were analyzed. No difference in overall survival and recurrence were observed. Multivariable models showed decreased survival for Medicare/Medicaid [hazard ratio (HR), 3.09; 95% CI, 1.63 to 5.87; P < 0.001], pathologic stage II (HR, 2.98; 95% CI, 1.12 to 7.90; P = 0.028), stage III (HR, 4.88; 95% CI, 1.54 to 15.5; P = 0.007), 11 to 20 lymph nodes positive (HR, 3.66; 95% CI, 1.31 to 10.2; P = 0.013), more than 20 lymph nodes positive (HR, 6.41; 95% CI, 1.49 to 27.6; P = 0.013). RMST at 10 years after flap reconstruction showed 2 months of decreased survival time compared with implants (9.56 versus 9.74 years; 95% CI, -0.339 to -0.024; P = 0.024). After matching, 563 implant and 563 flap patients were compared. Reconstruction was not associated with overall survival and recurrence. RMST between implant and flap reconstruction showed no difference in each 5-year interval over 20 years. CONCLUSION: Postmastectomy breast reconstruction was not associated with a difference in long-term oncologic outcomes over a 20-year period. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, III.

Are Income-based Differences in TKA Use and Outcomes Reduced in a Single-payer System? A Large-database Comparison of the United States and Canada.

BACKGROUND: Income-based differences in the use of and outcomes in TKA have been studied; however, it is not known if different healthcare systems affect this relationship. Although Canada's single-payer healthcare system is assumed to attenuate the wealth-based differences in TKA use observed in the United States, empirical cross-border comparisons are lacking. QUESTIONS/PURPOSES: (1) Does TKA use differ between Pennsylvania, USA, and Ontario, Canada? (2) Are income-based disparities in TKA use larger in Pennsylvania or Ontario? (3) Are TKA outcomes (90-day mortality, 90-day readmission, and 1-year revision rates) different between Pennsylvania and Ontario? (4) Are income-based disparities in TKA outcomes larger in Pennsylvania or Ontario? METHODS: We identified all patients hospitalized for primary TKA in this cross-border retrospective analysis, using administrative data for 2012 to 2018, and we found a total of 161,244 primary TKAs in Ontario and 208,016 TKAs in Pennsylvania. We used data from the Pennsylvania Health Care Cost Containment Council, Harrisburg, PA, USA, and the ICES (formally the Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada. We linked patient-level data to the respective census data to determine community-level income using ZIP Code or postal code of residence and stratified patients into neighborhood income quintiles. We compared TKA use (age and gender, standardized per 10,000 population per year) for patients residing in the highest-income versus the lowest-income quintile neighborhoods. Similarly secondary outcomes 90-day mortality, 90-day readmission, and 1-year revision rates were compared between the two regions and analyzed by income groups. RESULTS: TKA use was higher in Pennsylvania than in Ontario overall and for all income quintiles (lowest income quartile: 31 versus 18 procedures per 10,000 population per year; p < 0.001; highest income quartile: 38 versus 23 procedures per 10,000 population per year; p < 0.001). The relative difference in use between the highest-income and lowest-income quintile was larger in Ontario (28% higher) than in Pennsylvania (23% higher); p < 0.001. Patients receiving TKA in Pennsylvania were more likely to be readmitted within 90 days and were more likely to undergo revision within the first year than patients in Ontario, but there was no difference in mortality at 1 year. When comparing income groups, there were no differences between the countries in 90-day mortality, readmission, or 1-year revision rates (p > 0.05). CONCLUSION: These results suggest that universal health insurance through a single-payer may not reduce the income-based differences in TKA access that are known to exist in the United States. Future studies are needed determine if our results are consistent across other geographic regions and other surgical procedures. LEVEL OF EVIDENCE: Level III, therapeutic study.

Medicare/Medicaid Insurance Status Is Associated With Reduced Lower Bilateral Knee Arthroplasty Utilization and Higher Complication Rates.

Whether to undergo bilateral total knee arthroplasty (BTKA) depends on patient and surgeon preferences. We used the National Inpatient Sample to compare temporal trends in BTKA utilization and in-hospital complication rates among TKA patients ≥50 with Medicare/Medicaid versus private insurance from 2007 to 2016. We used multivariable logistic regression to assess the association between insurance type and trends in utilization and complication rates adjusting for individual-, hospital-, and community-level covariates, using unilateral TKA (UTKA) for reference. Discharge weights were used for nationwide estimates. About 132,400 (49.5%) Medicare/Medicaid patients and 135,046 (50.5%) privately insured patients underwent BTKA. Among UTKA patients, 62.7% had Medicare/Medicaid, and 37.3% had private insurance. Over the study period, BTKA utilization rate decreased from 7.18% to 5.63% among privately insured patients and from 4.59% to 3.13% among Medicaid/Medicare patients (P trend difference <0.0001). In multivariable analysis, Medicare/Medicaid patients were less likely to receive BTKA than privately insured patients. Although Medicare/Medicaid patients were more likely to develop in-hospital complications after UTKA (adjusted odds ratio, 1.06; 95% confidence interval, 1.002 to 1.12; P = 0.04), this relationship was not statistically significant for BTKAs. In this nationwide sample of TKA patients, BTKA utilization rate was higher in privately insured patients compared with Medicare/Medicaid patients. Furthermore, privately insured patients had lower in-hospital complication rates than Medicare/Medicaid patients.

Social and Clinical Determinants of COVID-19 Outcomes: Modeling Real-World Data from a Pandemic Epicenter.

IMPORTANCE: As the United States continues to accumulate COVID-19 cases and deaths, and disparities persist, defining the impact of risk factors for poor outcomes across patient groups is imperative. OBJECTIVE: Our objective is to use real-world healthcare data to quantify the impact of demographic, clinical, and social determinants associated with adverse COVID-19 outcomes, to identify high-risk scenarios and dynamics of risk among racial and ethnic groups. DESIGN: A retrospective cohort of COVID-19 patients diagnosed between March 1 and August 20, 2020. Fully adjusted logistical regression models for hospitalization, severe disease and mortality outcomes across 1-the entire cohort and 2- within self-reported race/ethnicity groups. SETTING: Three sites of the NewYork-Presbyterian health care system serving all boroughs of New York City. Data was obtained through automated data abstraction from electronic medical records. PARTICIPANTS: During the study timeframe, 110,498 individuals were tested for SARS-CoV-2 in the NewYork-Presbyterian health care system; 11,930 patients were confirmed for COVID-19 by RT-PCR or covid-19 clinical diagnosis. MAIN OUTCOMES AND MEASURES: The predictors of interest were patient race/ethnicity, and covariates included demographics, comorbidities, and census tract neighborhood socio-economic status. The outcomes of interest were COVID-19 hospitalization, severe disease, and death. RESULTS: Of confirmed COVID-19 patients, 4,895 were hospitalized, 1,070 developed severe disease and 1,654 suffered COVID-19 related death. Clinical factors had stronger impacts than social determinants and several showed race-group specificities, which varied among outcomes. The most significant factors in our all-patients models included: age over 80 (OR=5.78, p= 2.29x10-24) and hypertension (OR=1.89, p=1.26x10-10) having the highest impact on hospitalization, while Type 2 Diabetes was associated with all three outcomes (hospitalization: OR=1.48, p=1.39x10-04; severe disease: OR=1.46, p=4.47x10-09; mortality: OR=1.27, p=0.001). In race-specific models, COPD increased risk of hospitalization only in Non-Hispanics (NH)-Whites (OR=2.70, p=0.009). Obesity (BMI 30+) showed race-specific risk with severe disease NH-Whites (OR=1.48, p=0.038) and NH-Blacks (OR=1.77, p=0.025). For mortality, Cancer was the only risk factor in Hispanics (OR=1.97, p=0.043), and heart failure was only a risk in NH-Asians (OR=2.62, p=0.001). CONCLUSIONS AND RELEVANCE: Comorbidities were more influential on COVID-19 outcomes than social determinants, suggesting clinical factors are more predictive of adverse trajectory than social factors.

Community Deprivation Index and Discharge Destination After Elective Hip Replacement.

OBJECTIVE: To examine how the deprivation level of the community in which one lives influences discharge disposition and the odds of 90-day readmission after elective total hip arthroplasty (THA). METHODS: We performed a retrospective cohort study on 84,931 patients who underwent elective THA in the Pennsylvania Health Care Cost Containment Council database from 2012 to 2016. We used adjusted binary logistic regression models to test the association between community Area Deprivation Index (ADI) level and patient discharge destination as well as 90-day readmission. We included an interaction term for community ADI level and patient race in our models to assess the simultaneous effect of both on the outcomes. RESULTS: After adjusting for patient- and facility-level characteristics, we found that patients from high ADI level communities (most disadvantaged), compared to patients from low ADI level communities (least disadvantaged), were more likely to be discharged to an institution as opposed to home for postoperative care and rehabilitation (age <65 years adjusted odds ratio [ORadj ] 1.47; age ≥65 years ORadj 1.31; both P < 0.001). The interaction effect of patient race and ADI level on discharge destination was statistically significant in those patients age ≥65 years, but not in patients age <65 years. The association with ADI level on 90-day readmission was not statistically significant. CONCLUSION: In this statewide sample of patients who underwent elective THA, the level of deprivation of the community in which patients reside influences their discharge disposition, but not their odds of 90-day readmission to an acute-care facility.

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.