Artigo Acesso aberto Revisado por pares

Prior hospital admission predicts thirty-day hospital readmission for heart failure patients

2016; Via Medica; Volume: 23; Issue: 2 Linguagem: Inglês

10.5603/cj.a2016.0005

ISSN

1897-5593

Autores

Donald P. McLaren, Roy Jones, Ronald D. Plotnik, Wojciech Zaręba, Scott McIntosh, Jeffrey D. Alexis, Leway Chen, Robert Block, Charles J. Lowenstein, Valentina Kutyifa,

Tópico(s)

Pharmaceutical Practices and Patient Outcomes

Resumo

Hospital readmission is a significant health burden. More than 20% of heart failure (HF) patients are readmitted within 30 days of discharge leading to billions of dollars in health care expenditures. However, the role of prior hospital admissions to predict 30-day readmission for HF patients is not fully understood.We retrospectively analyzed HF hospitalization data for 4 years at a single medical center. Association between prior admission and 30-day readmission after HF hospitalization was assessed using a multivariate logistic regression model.A total of 1,999 patients with index HF hospitalizations were identified, and 366 of them (18%) were readmitted within 30 days. The rate of readmission was 14%, 20%, and 33% in patients with 0, 1, ≥ 2 prior admissions. Patients with one prior admission had a 50% higher risk (confidence interval [CI] 1.10-2.05, p = 0.011) for readmission, while those with ≥ 2 prior admissions had a more than 3-fold increase in readmission (CI 2.27-4.09, p < 0.001), after adjustments for relevant clinical covariates. Prior hospital admission provided incremen-tal value in predicting readmissions, shown by the significant improvement in the readmission predictive model (C-statistics increased from 0.57 to 0.63). However, neither the length of stay nor recency of prior admission was a significant factor in predicting readmissions.Hospital admission prior to an index HF hospitalization is associated with a significantly increased risk for 30-day hospital readmission and could be used to identify patients at high-risk for readmission and potentially target interventions to reduce the risk of readmission for these patients.

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