Abstract

Frailty has been increasingly recognized as a risk factor for inferior surgical outcomes and greater resource use. The present study evaluated the impact of a coding-based frailty tool on outcomes of elective colectomy in a national cohort. Adults undergoing elective colectomy were identified in the 2016-17 Nationwide Readmissions Database. Frailty was defined using the Johns Hopkins 10-domain coding-based binary tool. Generalized linear models were used to examine the association of frailty with in-hospital mortality, nonhome discharge, hospitalization duration (LOS), and inflation-adjusted costs. Kaplan-Meier survival analysis and log-rank test was used to compare readmissions up to 1-year. Of 133175 patients, 10.6% were considered frail. The most common resections were sigmoid (43.9%) and right (34.7%) while total colectomy was least common (2.8%). After adjustment, frailty was associated with greater odds of mortality (3.2, 95% CI 2.8-3.8) and nonhome discharge (6.0, 95% CI 5.5-6.4) as well as a $13,400-increment (95% CI 12,400-14,400) in costs and 4.4-day (95% CI 4.1-4.6) increase in LOS. Nonelective readmissions at 30 days were greater in frail than non-frail groups (14.7% vs. 10.4%, P < .001). Frailty is associated with inferior clinical outcomes and increased resource use following elective colectomy. Inclusion of frailty in risk models may facilitate risk stratification and shared decision-making.

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