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Pathophysiological insights into machine learning-based subphenotypes of acute heart failure with preserved ejection fraction.
- Source :
- Heart; Mar2024, Vol. 110 Issue 6, p441-447, 11p
- Publication Year :
- 2024
-
Abstract
- This document provides supplemental material for a study on heart failure with preserved ejection fraction (HFpEF). It includes tables that present clinical characteristics and biomarker analysis of the patients included and excluded from the study, as well as the different phenotypes and their corresponding biomarker levels. The tables provide data on factors such as age, sex, blood pressure, comorbidities, and laboratory values. This information can be valuable for researchers studying heart failure and its subphenotypes. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 13556037
- Volume :
- 110
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Heart
- Publication Type :
- Academic Journal
- Accession number :
- 176065329
- Full Text :
- https://doi.org/10.1136/heartjnl-2023-323059