Racial and Ethnic Disparities in Emergency General Surgery Outcomes Among Older Adult Patients

Introduction: Racial and ethnic disparities in emergency general surgery (EGS) patients have been well described in the literature. Nonetheless, the burden of these disparities, specifically within the more vulnerable older adult population, is relatively unknown. This study aims to investigate racial and ethnic disparities in clinical outcomes among older adult patients undergoing EGS. Methods: This retrospective analysis used data from 2013 to 2019 American College of Surgeons National Surgery Quality Improvement Program database. EGS patients aged 65 y or older were included. Patients were categorized based on their self-reported race and ethnicity. The primary outcomes evaluated were in-hospital mortality, 30-d mortality, and overall morbidity. Multivariable logistic regression was performed to examine the relationship between race/ethnicity and postoperative outcomes while adjusting for relevant factors including age, comorbidities, functional status, preoperative conditions, and surgical procedure. Results: A total of 54,132 patients were included, of whom 79.8% identified as non-Hispanic White, 9.5% as non-Hispanic Black (NHB), 5.8% as Hispanic, and 4.2% as non-Hispanic Asian. After risk adjustment, compared to non-Hispanic White patients, NHB, nonHispanic Asian, and Hispanic patients had decreased odds of 30-d mortality. For 30d readmission and reoperation, differences among groups were comparable. However, NHB patients had significantly increased odds of overall morbidity (adjusted odds ratio, 1.18; 95% confidence interval: 1.10-1.26; P < 0.001) and postoperative complications including sepsis, venous thromboembolism, and unplanned intubation. Hispanic ethnicity was associated with lower odds of postoperative myocardial infarction and stroke. Conclusions: Among older adult patients undergoing emergency general surgery, minority patients experienced higher morbidity rates, but paradoxical disparities in mortality were detected. Further research is necessary to identify the cause of these disparities and develop targeted interventions to eliminate them. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.