A simple score for early risk stratification in acute heart failure

Int J Cardiol. 2017 Mar 1:230:248-254. doi: 10.1016/j.ijcard.2016.12.131. Epub 2016 Dec 22.

Abstract

Introduction: The use of many acute heart failure (AHF) risk scores is cumbersome. We therefore developed a simple AHF risk score (AHFRS) for early risk stratification.

Methods: The study consisted of a prospective derivation cohort (PDC; N=104; age, 77[21] years; LVEF (%), 35[29]) and a retrospective validation cohort (RVC; N=141; age, 76[15] years; LVEF (%), 35[25]). Clinical, echocardiography and laboratory assessment was performed at admission. The study end-point was death from any cause or HF-rehospitalization at 1year.

Results: In the PDC 46 (44.2%) patients experienced the end-point. Independent prognostic factors of outcome were hypertension (HTN) history, myocardial infarction (MI) history, and admission red cell distribution width (RDW). Multivariate logistic regression indicated 8-, 4-, and 3-times higher odds ratio for development of study end-point in patients without a HTN history, with MI history, and RDW≥15% (median) respectively. Thus in AHFRS, 2 points were assigned for absence of HTN history, 1 point for presence of MI history, and 1 point for RDW values ≥15% (0 best possible, whereas 4 worst possible score). The AHFRS identified patients who developed the end-point in the PDC with an area under the ROC curve (AUC) of 0.80 [95% C.I.: (0.71, 0.87)] denoting a high discriminative ability. These findings were confirmed in the RVC, in which the endpoint occurred in 52 (36.9%) patients and the AUC for the AHFRS was 0.82 [95% C.I.: (0.73, 0.89)].

Conclusions: AHFRS is easily obtained at admission and accurately risk stratifies AHF patients.

Keywords: Acute heart failure; Risk stratification; Score.

MeSH terms

  • Acute Disease
  • Aged
  • Female
  • Greece / epidemiology
  • Heart Failure / epidemiology*
  • Humans
  • Male
  • Morbidity / trends
  • Prognosis
  • Prospective Studies
  • Retrospective Studies
  • Risk Assessment / methods*
  • Survival Rate / trends