Reasons why patients suffering from chronic heart failure at very low risk for mortality die

Int J Cardiol. 2016 Nov 15:223:947-952. doi: 10.1016/j.ijcard.2016.08.326. Epub 2016 Aug 23.

Abstract

Background: A proper prognostic stratification is crucial for organizing an effective clinical management and treatment decision-making in patients with chronic heart failure (CHF). In this study, we selected and characterized a sub-group of CHF patients at very low risk for death aiming to assess predictors of death in subjects with an expected probability of 1-year mortality near to 5%.

Methods: We used the Cardiac and Comorbid Conditions HF (3C-HF) Score to identify CHF patients with the best mid-term prognosis. We selected patients belonging to the lowest quartile of 3C-HF score (≤9 points).

Results: We recruited 1777 consecutive CHF patients at 3 Italian Cardiology Units (age 76±10years, 43% female, 32% with preserved ejection fraction). Subjects belonging to the lowest quartile of 3C-HF score were 609. During a median follow-up of 21 [12-40] months, 48 of these patients (8%) died, and 561 (92%) survived. The variables that contributed to death prediction by Cox regression multivariate analysis were older age (HR 1.03[CI 1.00-1.07]; p=0.04), male gender (HR 2.93[CI 1.50-5.51]; p=0.002) and a higher degree of renal dysfunction (HR 0.96[CI 0.94-0.98]; p<0.001).

Conclusions: The prognostic stratification of CHF patients by 3C-HF score allows one to select patients at different outcome and to identify the factors associated with death in outliers with a very low mortality risk at mid-term follow-up. The reasons why these patients do not outlive the matching part of subjects who expectedly survive are related to a declined renal function and unmodifiable conditions including older age and male gender.

Keywords: Chronic heart failure; Male gender; Mortality; Older age; Prognosis; Renal dysfunction.

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Chronic Disease
  • Female
  • Heart Failure* / diagnosis
  • Heart Failure* / mortality
  • Heart Failure* / physiopathology
  • Humans
  • Italy / epidemiology
  • Kidney Function Tests
  • Male
  • Prognosis
  • Proportional Hazards Models
  • Renal Insufficiency / epidemiology*
  • Risk Assessment / methods
  • Risk Factors
  • Sex Factors
  • Stroke Volume