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A multivariable prediction model for mortality in individuals admitted for heart failure

Journal of the American Geriatrics Society Apr 05, 2018

Bowen GS, et al. - A 30-day mortality clinical prediction rule for heart failure based on admission data and prior healthcare usage was derived and validated. The discriminatory function for mortality at 1 and 2 years was also determined. Researchers noted the following 13 risk factors: age; ejection fraction; mean arterial pressure; pulse; brain natriuretic peptide; blood urea nitrogen; sodium; potassium; >7 inpatient days in the past year; metastatic disease; and prior palliative care. The model allowed clinicians to risk-stratify individuals on admission for HF using characteristics captured in electronic medical record systems. Subgroup analysis of age strata confirmed model discrimination.

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