LAUSR

Background With limited national studies available, we characterized the association of frailty with outcomes of surgical resection for colonic volvulus. Methods Adults with sigmoid or cecal volvulus undergoing non-elective colectomy were identified in the 2010–2019 Nationwide Readmissions Database. Frailty was identified using the Johns Hopkins indicator which utilizes administrative codes. Multivariable models were developed to examine the association of frailty with in-hospital mortality, perioperative complications, stoma use, length of stay, hospitalization costs, non-home discharge, and 30-day non-elective readmissions. Results An estimated 66,767 patients underwent resection for colonic volvulus (Sigmoid: 39.6%; Cecal: 60.4%). Using the Johns Hopkins indicator, 30.3% of patients with sigmoid volvulus and 15.9% of those with cecal volvulus were considered frail. After adjustment, frail patients had higher risk of mortality compared to non-frail in both sigmoid (10.6% [95% CI 9.47–11.7] vs 5.7% [95% CI 5.2–6.2]) and cecal (10.4% [95% CI 9.2–11.6] vs 3.5% [95% CI 3.2–3.8]) volvulus cohorts. Frailty was associated with greater odds of acute venous thromboembolism occurrences (Sigmoid: AOR 1.50 [95% CI 1.18–1.94]; Cecal: AOR 2.0 [95% CI 1.50–2.72]), colostomy formation (Sigmoid: AOR 1.73 [95% CI 1.57–1.91]; Cecal: AOR 1.48 [95% CI 1.10–2.00]), non-home discharge (Sigmoid: AOR 1.97 [95% CI 1.77–2.20]; Cecal: AOR 2.56 [95% CI 2.27–2.89]), and 30-day readmission (Sigmoid: AOR 1.15 [95% CI 1.01–1.30]; Cecal: AOR 1.26 [95% CI 1.10–1.45]). Frailty was associated with incremental increase in length of stay (Sigmoid: +3.4 days [95% CI 2.8–3.9]; Cecal: +3.8 days [95% CI 3.3–4.4]) and costs (Sigmoid: +$7.5k [95% CI 5.9–9.1]; Cecal: +$12.1k [95% CI 10.1–14.1]). Conclusion Frailty, measured using a simplified administrative tool, is associated with significantly worse clinical and financial outcomes following non-elective resections for colonic volvulus. Standard assessment of frailty may aid risk-stratification, better inform shared-decision making, and guide healthcare teams in targeted resource allocation in this vulnerable patient population.