TRUE-AHF Prognostic Classification (experimental prototype)

TRUE-AHF Prognostic Classification — explanation and clinical context This page implements an experimental prognostic classifier inspired by common predictors used in acute heart failure (AHF) prognostic models: advanced age, low systolic blood pressure, tachycardia, elevated BUN/creatinine, hyponatremia, elevated natriuretic peptides (NT-proBNP), reduced left ventricular ejection fraction, and positive cardiac troponin. These variables have repeatedly been associated with short-term and medium-term mortality in AHF cohorts and are components of widely used tools such as the GWTG-HF and MEESSI-AHF scores. The TRUE-AHF study was a randomized trial testing ularitide in AHF and provided extensive baseline and outcome data, but there is no widely used, published “TRUE-AHF prognostic score” available to clinicians; deriving such a score would require access to the trial dataset and formal model development/validation.

This prototype provides an illustrative, transparent weighting of commonly important predictors so developers can (1) replace weights with coefficients from a validated model, (2) recalibrate to local data, or (3) use the structure as a starting point when deriving a score from TRUE-AHF or another dataset.