Validation and Recalibration of Seattle Heart Failure Model in Japanese Acute Heart Failure Patients.
J Card Fail
; 25(7): 561-567, 2019 Jul.
Article
en En
| MEDLINE
| ID: mdl-30099192
ABSTRACT
BACKGROUND:
Precise risk stratification in heart failure (HF) patients enables clinicians to tailor the intensity of their management. The Seattle Heart Failure Model (SHFM), which uses conventional clinical variables for its prediction, is widely used. We aimed to externally validate SHFM in Japanese HF patients with a recent episode of acute decompensation requiring hospital admission. METHODS ANDRESULTS:
SHFM was applied to 2470 HF patients registered in the West Tokyo Heart Failure and National Cerebral And Cardiovascular Center Acute Decompensated Heart Failure databases from 2006 to 2016. Discrimination and calibration were assessed with the use of the c-statistic and calibration plots, respectively, in HF patients with reduced ejection fraction (HFrEF; <40%) and preserved ejection fraction (HFpEF; ≥40%). In a perfectly calibrated model, the slope and intercept would be 1.0 and 0.0, respectively. The method of intercept recalibration was used to update the model. The registered patients (mean age 74 ± 13 y) were predominantly men (62%). Overall, 572 patients (23.2%) died during a mean follow-up of 2.1 years. Among HFrEF patients, SHFM showed good discrimination (c-statisticâ¯=â¯0.75) but miscalibration, tending to overestimate 1-year survival (slopeâ¯=â¯0.78; interceptâ¯=â¯-0.22). Among HFpEF patients, SHFM showed modest discrimination (c-statisticâ¯=â¯0.69) and calibration, tending to underestimate 1-year survival (slopeâ¯=â¯1.18; interceptâ¯=â¯0.16). Intercept recalibration (replacing the baseline survival function) successfully updated the model for HFrEF (slopeâ¯=â¯1.03; interceptâ¯=â¯-0.04) but not for HFpEF patients.CONCLUSIONS:
In Japanese acute HF patients, SHFM showed adequate performance after recalibration among HFrEF patients. Using prediction models to tailor the care for HF patients may improve the allocation of medical resources.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Volumen Sistólico
/
Medición de Riesgo
/
Reglas de Decisión Clínica
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Insuficiencia Cardíaca
Tipo de estudio:
Diagnostic_studies
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Etiology_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Aged
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Female
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Humans
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Male
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Middle aged
País/Región como asunto:
Asia
Idioma:
En
Revista:
J Card Fail
Asunto de la revista:
CARDIOLOGIA
Año:
2019
Tipo del documento:
Article
País de afiliación:
Japón