| Autor: |
Kuo‐Tzu Sung, Hung‐Yu Chang, Nai‐Wei Hsu, Wen‐Hung Huang, Yueh‐Hung Lin, Chun‐Ho Yun, Chih‐Chung Hsiao, Chien‐Yi Hsu, Shin‐Yi Tsai, Ying‐Ju Chen, Cheng‐Ting Tsai, Cheng‐Huang Su, Ta‐Chuan Hung, Charles Jia‐Yin Hou, Hung‐I Yeh, Chung‐Lieh Hung |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 18 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2047-9980 |
| DOI: |
10.1161/JAHA.122.028860 |
| Popis: |
Background The angiotensin receptor–neprilysin inhibitor (LCZ696) has emerged as a promising pharmacological intervention against renin–angiotensin system inhibitor in reduced ejection fraction heart failure (HFrEF). Whether the therapeutic benefits may vary among heterogeneous HFrEF subgroups remains unknown. Methods and Results This study comprised a pooled 2‐center analysis including 1103 patients with symptomatic HFrEF with LCZ696 use and another 1103 independent HFrEF control cohort (with renin–angiotensin system inhibitor use) matched for age, sex, left ventricular ejection fraction, and comorbidity conditions. Three main distinct phenogroup clusterings were identified from unsupervised machine learning using 29 clinical variables: phenogroup 1 (youngest, relatively lower diabetes prevalence, highest glomerular filtration rate with largest left ventricular size and left ventricular wall stress); phenogroup 2 (oldest, lean, highest diabetes and vascular diseases prevalence, lowest highest glomerular filtration rate with smallest left ventricular size and mass), and phenogroup 3 (lowest clinical comorbidity with largest left ventricular mass and highest hypertrophy prevalence). During the median 1.74‐year follow‐up, phenogroup assignment provided improved prognostic discrimination beyond Meta‐Analysis Global Group in Chronic Heart Failure risk score risk score (all net reclassification index P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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