Predictors of hospital transfer and associated risks of mortality in acute pancreatitis

BackgroundThere is limited research in prognosticators of hospital transfer in acute pancreatitis (AP). Hence, we sought to determine the predictors of hospital transfer from small/medium-sized hospitals and outcomes following transfer to large acute-care hospitals.MethodsUsing the 2010–2013 Nationwide Inpatient Sample (NIS), patients ≥18 years of age with a primary diagnosis of AP were identified. Hospital size was classified using standard NIS Definitions. Multivariable analyses were performed for predictors of “transfer-out” from small/medium-sized hospitals and mortality in large acute-care hospitals.ResultsAmong 381,818 patients admitted with AP to small/medium-sized hospitals, 13,947 (4%) were transferred out to another acute-care hospital. Multivariable analysis revealed that older patients (OR = 1.04; 95%CI 1.03–1.06), men (OR = 1.15; 95%CI 1.06–1.24), lower income quartiles (OR = 1.54; 95%CI 1.35–1.76), admission to a non-teaching hospital (OR = 3.38; 95%CI 3.00–3.80), gallstone pancreatitis (OR = 3.32; 95%CI 2.90–3.79), pancreatic surgery (OR = 3.14; 95%CI 1.76–5.58), and severe AP (OR = 3.07; 95%CI 2.78–3.38) were predictors of “transfer-out”. ERCP (OR = 0.53; 95%CI 0.43–0.66) and cholecystectomy (OR = 0.14; 95%CI 0.12–0.18) were associated with decreased odds of “transfer-out”.Among 507,619 patients admitted with AP to large hospitals, 31,058 (6.1%) were “transferred-in” from other hospitals. The mortality rate for patients “transferred-in” was higher than those directly admitted (2.54% vs. 0.91%, p < 0.001). Multivariable analysis revealed that being “transferred-in” from other hospitals was an independent predictor of mortality (OR = 1.47; 95% CI 1.22–1.77).ConclusionsPatients with AP transferred into large acute-care hospitals had a higher mortality than those directly admitted likely secondary to more severe disease. Early implementation of published clinical guidelines, triage, and prompt transfer of high-risk patients may potentially offset these negative outcomes.