RESUMEN

BACKGROUND/OBJECTIVES: Data regarding incidence, health-care burden, and predictors for readmission in patients with acute alcoholic pancreatitis (AAP) is scarce. We aim to identify incidence, health-care burden, and predictors of readmission over an 11-month period. METHODS: Retrospective cohort study using the 2016 National Readmission Database of adult patients admitted with a principal diagnosis of AAP in January and 11-month readmission follow up for all-cause readmission. Incidence of all-cause readmission, mortality rate, morbidity, length of stay (LOS), total hospitalization charges and costs were evaluated. Independent risk factors for all-cause readmission were identified using a Cox multivariate logistic regression analysis. RESULTS: A total of 6633 patients were included in the study. The mean age was 45.7 years and 28.9% of patients were female. 73.1% of patients had a modified BISAP score of 0. The 11-month readmission rate was 43.1%. The main cause of readmission was another episode of AAP. The mortality rate of readmission was 0.5% and the mortality rate during the index admission (IA) was 1.1% (P = 0.03). The mean LOS, total hospitalization charges and costs for readmission were 4.5 days, $34,307 and $8958, respectively. Independent predictors of readmission were Charlson Comorbidity Index score of ≥ 3, associated chronic alcoholic pancreatitis, and chronic pancreatitis (CP) from other causes. CONCLUSION: Among patients admitted with AAP, the 11-month readmission rate was 43.1%. Over one-third of readmissions were due to another episode of AAP. Readmission associated with significant resource utilization. Special attention should be placed in patients with underlying CP due to the increased risk of readmission.

Asunto(s)

Pancreatitis Alcohólica , Readmisión del Paciente , Adulto , Humanos , Femenino , Persona de Mediana Edad , Masculino , Estudios Retrospectivos , Incidencia , Factores de Riesgo

RESUMEN

OBJECTIVE: The aim of this study was to investigate which method of evaluating physical function could predict 1-year readmission due to worsening of heart failure (HF) in newly diagnosed HF patients. METHODS: One hundred sixteen consecutive patients with HF who underwent cardiac rehabilitation at our hospital between May 2012 and September 2015 were retrospectively enrolled. Participants were divided into two groups based on whether they were readmitted for worsening HF within 1 year. Logistic regression analysis was used to evaluate whether physical function at the time of discharge was related to HF readmission within 1 year. RESULTS: After a mean follow-up period of 327 days, 22 patients were readmitted because of worsening HF. In the readmission group, the results of the 6-Minute Walk Test (6MWT), One-Leg Standing Test, and 30-Second Chair-Stand Test at initial discharge were significantly worse than those in the non-readmission group. In a multivariable logistic regression model, after adjusting for age and sex, a lower 6MWT distance was independently associated with increased risk of readmission within 1 year (odds ratio: 0.990, 95% confidence interval: 0.985-0.996). The 6MWT showed better prognostic value (area under the receiver operating characteristic curve: 0.696) than other evaluation methods of physical function. The 1-year non-readmission rates were 90% for 6MWT ≥382.5 m, 68% for 6MWT <382.5 m, and 53% for those unable to walk 200 m independently (P <0.001). CONCLUSION: Physical function, particularly the 6MWT distance at time of discharge, can be used to predict the likelihood of readmission within 1 year for patients with HF.