Published in:
05-09-2023 | Heart Failure | Original article
Prognostic Clinical Phenotypes of Patients with Acute Decompensated Heart Failure
Authors:
Tanya Mohammadi, Said Tofighi, Babak Mohammadi, Shadi Halimi, Farshad Gharebakhshi
Published in:
High Blood Pressure & Cardiovascular Prevention
|
Issue 5/2023
Login to get access
Abstract
Introduction
Acute decompensated heart failure (AHF) is a clinical syndrome with a poor prognosis.
Aim
This study was conducted to identify clusters of inpatients with acute decompensated heart failure that shared similarities in their clinical features.
Methods
We analyzed data from a cohort of patients with acute decompensated heart failure hospitalized between February 2013 and January 2017 in a Department of Cardiology. Patients were clustered using factorial analysis of mixed data. The clusters (phenotypes) were then compared using log-rank tests and profiled using a logistic model. In total, 458 patients (255; 55.7% male) with a mean (SD) age of 72.7 (11.1) years were included in the analytic dataset. The demographic, clinical, and laboratory features were included in the cluster analysis.
Results
The two clusters were significantly different in terms of time to mortality and re-hospitalization (all P < 0.001). Cluster profiling yielded an accurate discriminating model (AUC = 0.934). Typically, high-risk patients were elderly females with a lower estimated glomerular filtration rate and hemoglobin on admission compared to the low-risk phenotype. Moreover, the high-risk phenotype had a higher likelihood of diabetes type 2, transient ischemic attack/cerebrovascular accident, previous heart failure or ischemic heart disease, and a higher serum potassium concentration on admission. Patients with the high-risk phenotype were of higher New York Heart Association functional classes and more positive in their medication history.
Conclusions
There are two phenotypes among patients with decompensated heart failure, high-risk and low-risk for mortality and re-hospitalization. They can be distinguished by easy-to-measure patients’ characteristics.