Beyond the trigger: the unknown precipitant as a high-risk phenotype in acute heart failure

Background A substantial proportion of patients with acute heart failure (AHF) present without an identifiable precipitating factor. We compared the clinical profile, echocardiographic characteristics, and mid-term outcomes of AHF patients stratified by precipitating factor category. Methods We conducted a prospective single-center observational study at Venizelio General Hospital, Heraklion, including 486 consecutive patients hospitalized with AHF between February 2023 and January 2025. Patients were classified into three groups: behavioral ( n = 148), non-behavioral/clinical ( n = 230), and unknown ( n = 108). The primary endpoint was all-cause death at 12 months; secondary endpoints were terminal renal replacement therapy (RRT) and a composite of death, AHF rehospitalization or RRT. Groups were compared by Kaplan–Meier analysis and Cox regression with the behavioral group as reference, and the cumulative incidence of first AHF rehospitalization was estimated with death and terminal RRT as competing events. Results The unknown group was older and more frail (CFS ≥5), with more advanced chronic kidney disease, more right heart failure and lower TAPSE, higher NT-proBNP and lower admission eGFR. All-cause mortality at 12 months was 41.7% versus 20.3% and 29.6% (log-rank p < 0.001; unknown vs. behavioral HR 2.44, 95% CI 1.54–3.88), with a parallel gradient for the composite endpoint (event-free survival 35.2% vs. 58.8% and 52.6%; HR 1.96, 1.39–2.77). After adjustment for age, admission eGFR, right heart failure, NT-proBNP and frailty, precipitant category no longer improved model fit (likelihood ratio p = 0.066) and the association of the unknown group with mortality was attenuated and no longer significant (adjusted HR 1.43, 0.88–2.31). With death and terminal RRT as competing events, 12-month cumulative incidence of first AHF rehospitalization did not differ (36.1% vs. 29.7% and 26.1%; p = 0.207). ACEi/ARB prescription at discharge was lower in the unknown group (21.2% vs. 39.0% and 44.2%, p < 0.001). Conclusions In AHF, the absence of an identifiable precipitating factor identifies a high-risk phenotype characterized by advanced multimorbidity, right ventricular dysfunction, renal impairment and worse mid-term outcomes. The difference was driven predominantly by mortality rather than rehospitalization, and the association was attenuated after adjustment for the phenotype-defining variables. The label may therefore serve as an early bedside marker of advanced disease, requiring confirmation in multicenter cohorts.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2026-10-30
DOI
https://doi.org/10.3389/fcvm.2026.1880740
Primary Topic
Heart Failure Treatment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond the trigger: the unknown precipitant as a high-risk phenotype in acute heart failure

Kostas Stylianou, Yannis Pantazis, Emmanuel Lamprogiannakis, Maria Bachlitzanaki et al.
Frontiers in Cardiovascular Medicine
Heart Failure Treatment and Management
article

Beyond the trigger: the unknown precipitant as a high-risk phenotype in acute heart failure

Kostas Stylianou, Yannis Pantazis, Emmanuel Lamprogiannakis, Maria Bachlitzanaki, Georgios Aletras, M Stratinaki, Michalis Hamilos, Emmanuel Foukarakis
article en

Abstract

Background A substantial proportion of patients with acute heart failure (AHF) present without an identifiable precipitating factor. We compared the clinical profile, echocardiographic characteristics, and mid-term outcomes of AHF patients stratified by precipitating factor category. Methods We conducted a prospective single-center observational study at Venizelio General Hospital, Heraklion, including 486 consecutive patients hospitalized with AHF between February 2023 and January 2025. Patients were classified into three groups: behavioral ( n = 148), non-behavioral/clinical ( n = 230), and unknown ( n = 108). The primary endpoint was all-cause death at 12 months; secondary endpoints were terminal renal replacement therapy (RRT) and a composite of death, AHF rehospitalization or RRT. Groups were compared by Kaplan–Meier analysis and Cox regression with the behavioral group as reference, and the cumulative incidence of first AHF rehospitalization was estimated with death and terminal RRT as competing events. Results The unknown group was older and more frail (CFS ≥5), with more advanced chronic kidney disease, more right heart failure and lower TAPSE, higher NT-proBNP and lower admission eGFR. All-cause mortality at 12 months was 41.7% versus 20.3% and 29.6% (log-rank p < 0.001; unknown vs. behavioral HR 2.44, 95% CI 1.54–3.88), with a parallel gradient for the composite endpoint (event-free survival 35.2% vs. 58.8% and 52.6%; HR 1.96, 1.39–2.77). After adjustment for age, admission eGFR, right heart failure, NT-proBNP and frailty, precipitant category no longer improved model fit (likelihood ratio p = 0.066) and the association of the unknown group with mortality was attenuated and no longer significant (adjusted HR 1.43, 0.88–2.31). With death and terminal RRT as competing events, 12-month cumulative incidence of first AHF rehospitalization did not differ (36.1% vs. 29.7% and 26.1%; p = 0.207). ACEi/ARB prescription at discharge was lower in the unknown group (21.2% vs. 39.0% and 44.2%, p < 0.001). Conclusions In AHF, the absence of an identifiable precipitating factor identifies a high-risk phenotype characterized by advanced multimorbidity, right ventricular dysfunction, renal impairment and worse mid-term outcomes. The difference was driven predominantly by mortality rather than rehospitalization, and the association was attenuated after adjustment for the phenotype-defining variables. The label may therefore serve as an early bedside marker of advanced disease, requiring confirmation in multicenter cohorts.

Frontiers in Cardiovascular MedicineVol. 13
University of Crete (GR), The General Hospital of Heraklion "Venizeleio-Pananio" (GR), University Hospital of Heraklion (GR), Foundation for Research and Technology Hellas (GR)
Good health and well-being
Openalex Percentile: Top 11%
Heart Failure Treatment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon