Patient-Associated Predictors of 15- and 30-Day Readmission After Hospitalization for Acute Heart Failure.
Curr Heart Fail Rep
; 16(6): 304-314, 2019 12.
Article
en En
| MEDLINE
| ID: mdl-31768916
ABSTRACT
BACKGROUND:
Identifying readmission predictors in heart failure (HF) patients may help guide preventative efforts and save costs. We aimed to identify 15- and 30-day readmission predictors due to cardiovascular reasons. METHODS ANDRESULTS:
A total of 1831 patients with acute HF admission were prospectively followed during a year. Patient-associated variables were gathered at admission/discharge and events during follow-up. A multivariate Fine and Gray competing risk regression model and a cumulative incidence function were used to identify predictors and build a risk score model for 15- and 30-day readmission. The 15- and 30-day readmission rates due to cardiovascular reasons were 7.1% and 13.9%. Previous acute myocardial infarction, congestive signs at discharge, and length of stay > 9 days were predictors of 15- and 30-day readmission, while much weight loss and large NT-ProBNP reduction were protective factors. The NT-ProBNP reduction was larger at 30 days (> 55%) vs 15 days (> 40%) to protect from readmission. Glomerular filtration rate at discharge < 60 mL/min/1.73m2 and > 1 previous admissions due to HF were predictors of 30-day readmission, while first post-discharge control at an HF unit was a protective factor.CONCLUSIONS:
Previous identified factors for early readmission were confirmed. The NT-ProBNP reduction should be increased (> 55%) to protect from 30-day readmission.Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Readmisión del Paciente
/
Insuficiencia Cardíaca
Tipo de estudio:
Clinical_trials
/
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Curr Heart Fail Rep
Asunto de la revista:
CARDIOLOGIA
Año:
2019
Tipo del documento:
Article
País de afiliación:
España