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Updated: Nov 1, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Incidence and Predictors of Progression in Asymptomatic Patients With Stable Heart Failure
Alexander Marschall1, Hugo Del Castillo Carnevali1, Concepción Fernández Pascual1
1Department of Cardiology, Central defense Hospital, Madrid, Spain.
Abstract:
Data from previous heart failure (HF) trials suggest that patients with mild symptoms (NYHA II) actually have a poor clinical outcome. However, these studies did not assess clinical stability and rarely included patients in NYHA I. We sought to determine the incidence of short-term clinical progression in supposedly stable HF patients in NYHA I. In addition, we aimed to investigate the predictive value of widely available electrocardiographic and echocardiographic parameters for short-term disease progression. This is a retrospective study including 153 consecutive patients with HF with reduced and mid-range ejection fraction (HFrEF: LVEF<40%; HFmrEF: LVEF 40-49%) in NYHA I with no history of decompensation within the previous 6 months. All patients underwent comprehensive baseline echocardiographic and electrocardiographic assessment. The primary endpoint was the composite of cardiovascular death, hospitalization and need for intensification of HF treatment within a 12 month follow-up period. The cumulative incidence of HF progression was 17.8%, with a median time to event of 193 days. Death and hospitalization due to HF accounted for three-quarters of the events. QRS duration ≥120ms and mitral regurgitation grade >1 showed to be significant predictors of HF progression (HR: 8.92, p<0.001; and HR: 4.10, p<0.001, respectively). Patients without these risk factors had a low incidence of clinical events (3.8%). In conclusion, almost one in five supposedly stable HF patients in NYHA I experience clinical progression in short-term follow-up. Simple electrocardiographic and echocardiographic predictors may be useful for risk stratification and could help to improve individual HF patient management and outcomes.
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