Predictors of 1-year outcome in very old patients managed in a Heart Failure Unit after an acute decompensation

Eur Geriatr Med. 2022 Dec;13(6):1417-1424. doi: 10.1007/s41999-022-00679-5. Epub 2022 Oct 13.

Abstract

Purpose: Consensus exits about the clinical benefits of an early referral to multidisciplinary Heart Failure Unit-HFU for old frail patients with HF. Nevertheless, few data are present regarding the prognosis and the predictors of outcome in oldest-old patients managed in this clinical setting. The aim of present study is to identify predictors of 1-year all-cause mortality in very old patients enrolled in our multidisciplinary HFU after an episode of acute decompensated HF.

Methods: This study is a retro-prospective, single-center cohort analysis of patients managed in our multidisciplinary HFU. Inclusion criterion was diagnosis of HF according to ESC guidelines and age ≥ 85 years, while no exclusion criteria were pre-defined. Baseline clinical and comprehensive geriatric evaluations were recorded during the first visit and follow-up visits were repeated according to our standardized timetable protocol. Primary end-point was 1-year all-cause mortality.

Results: We enrolled 75 patients aged 89.2 ± 2.8 years; 39 (52.0%) were females. During 1-year follow-up, seventeen patients (22.7%) died. Residual congestion with higher level (> 4) of EVEREST score (HR 1.24: 95% CI 1.04-1.47) and living alone (HR 3.34: 95% CI 1.16-9.64) resulted the two independent predictors of 1-year all-cause mortality at the multivariate Cox regression model. Finally, patients living alone and with an EVEREST score > 4 experienced a worse prognosis as clearly described by a steeper descendent Kaplan-Meier curve.

Conclusion: In a very old population of patients after an acute decompensated HF, residual congestion and social isolation as living alone identify those with high risk of 1-year death.

Keywords: Chronic heart failure; Elderly; Functional status; Heart Failure Unit; Mortality.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Disease Progression
  • Female
  • Heart Failure* / diagnosis
  • Heart Failure* / epidemiology
  • Heart Failure* / therapy
  • Humans
  • Male
  • Prognosis
  • Proportional Hazards Models
  • Prospective Studies