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• W2318057645 abstract "Objectives: In this study, the effects of sociodemographic and clinical factors on heart failure (HF) readmission risk were examined. Background: Hospitals now incur financial penalties for excessive HF readmission rates; therefore, identifying factors associated with risk is essential for designing risk-reduction strategies. Methods: A retrospective cohort study using chart reviews compared HF inpatients (N = 245) who were readmitted with those who were not readmitted. Results: The sample included mostly white (64%) elderly (mean [SD] age, 69.8 [15.1] years) men (49%) and women (51%). Using Cox regression, the number of comorbidities (3–4 or 5–8) and type of comorbidities, specifically renal insufficiency (readmission ratio [RR], 1.7; P = .003), atrial fibrillation (RR, 1.7; P = .005), cardiomyopathy (RR, 1.5; P = .020), followed by a history of myocardial infarction/coronary artery disease (RR, 1.4; P = .055), were the predictors of HF readmission. Conclusions: Targeting those with high-risk comorbidities is important in designing measures to prevent or delay readmission of HF patients." @default.
• W2318057645 created "2016-06-24" @default.
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• W2318057645 date "2016-03-01" @default.
• W2318057645 modified "2023-10-17" @default.
• W2318057645 title "Predicting Heart Failure Readmissions" @default.
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• W2318057645 doi "https://doi.org/10.1097/jcn.0000000000000225" @default.
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