Prediction Model of Steinhart et al for Acute Heart Failure

Description

Steinhart et al developed a model for predicting acute heart failure. This can help to identify a patient who may benefit from more aggressive management. The authors are from Saint Michael's Hospital (Toronto), University of Toronto and Massachusetts General Hospital.

Parameters:

(1) pre-test probability of heart failure as a decimal fraction

(2) NT-proBNP in pg/mL

(3) age in years

X =

= (5.9 * (pretest probability)) - (0.011 * (age in years)) + (2.3 * LOG10(NT proBNP) - (0.82 * (pretest probability) * LOG10(NT proBNP)) - 8

probability of acute heart failure =

= 1 / (1 + EXP((-1) * X))

where:

• The NT-proBNP is operated on by LOG10 and then X is an exponent to e (2.71828).

• NT-proBNP was measured using the Roche Elecsys assay.

• Exclusion criteria included acute myocardial infarction, cancer or dyspnea due to respiratory disease.

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Description

Specialty

ICD-10