{"title":"保留射血分数的急性失代偿性心力衰竭的表现型及其预后","authors":"Taro Makino, Yuya Ishihara, Masahide Harada, Yoshihiro Sobue, Eiichi Watanabe, Yukio Ozaki, Hideo Izawa","doi":"10.1536/ihj.24-080","DOIUrl":null,"url":null,"abstract":"</p><p>Acute heart failure is an important cause of unplanned hospitalizations and poses a significant burden through increased mortality and frequent hospitalizations. Heart failure with preserved ejection fraction (HFpEF) presents as a diverse condition characterized by complex cardiovascular and non-cardiovascular pathology. This study aimed to identify distinct clinical phenotypes in acute decompensated HFpEF (ADHF) using cluster analysis and assess their prognostic significance. We applied a latent class analysis to 1,281 ADHF patients admitted to a single cardiac intensive care unit between 2008 and 2022 with a left ventricular ejection fraction ≥ 50%. We used 83 factors obtained at hospitalization. We evaluated the association between phenogroups and clinical outcomes using either Cox regression model or Fine-Gray competing risk model. We identified 4 phenogroups: Phenogroup 1 (<i>n</i> = 133, 10%) included younger patients with metabolic disorders and a low level of B-type natriuretic peptide (BNP); Phenogroup 2 (<i>n</i> = 346, 27%) had systemic congestion and high BNP levels; Phenogroup 3 (<i>n</i> = 514, 40%) had multiple comorbidities and vascular disorders; Phenogroup 4 (<i>n</i> = 288, 22%) included older patients with bradyarrhythmia and atrial fibrillation. After adjusting for age, sex, and Get with the Guidelines-Heart Failure risk score, Phenogroup 2 had the highest risk of all-cause death and cardiac death. In conclusion, we identified 4 clinically relevant phenogroups of ADHF patients, each associated with different adverse outcomes. Phenotyping may provide a better understanding of the underlying mechanisms involved in the heterogeneity of ADHF and decompensation. Furthermore, it may facilitate the search for phenotype-specific therapeutic strategies.</p>\n<p></p>","PeriodicalId":13711,"journal":{"name":"International heart journal","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phenogroups and Their Prognosis of Acute Decompensated Heart Failure with Preserved Ejection Fraction\",\"authors\":\"Taro Makino, Yuya Ishihara, Masahide Harada, Yoshihiro Sobue, Eiichi Watanabe, Yukio Ozaki, Hideo Izawa\",\"doi\":\"10.1536/ihj.24-080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"</p><p>Acute heart failure is an important cause of unplanned hospitalizations and poses a significant burden through increased mortality and frequent hospitalizations. Heart failure with preserved ejection fraction (HFpEF) presents as a diverse condition characterized by complex cardiovascular and non-cardiovascular pathology. This study aimed to identify distinct clinical phenotypes in acute decompensated HFpEF (ADHF) using cluster analysis and assess their prognostic significance. We applied a latent class analysis to 1,281 ADHF patients admitted to a single cardiac intensive care unit between 2008 and 2022 with a left ventricular ejection fraction ≥ 50%. We used 83 factors obtained at hospitalization. We evaluated the association between phenogroups and clinical outcomes using either Cox regression model or Fine-Gray competing risk model. We identified 4 phenogroups: Phenogroup 1 (<i>n</i> = 133, 10%) included younger patients with metabolic disorders and a low level of B-type natriuretic peptide (BNP); Phenogroup 2 (<i>n</i> = 346, 27%) had systemic congestion and high BNP levels; Phenogroup 3 (<i>n</i> = 514, 40%) had multiple comorbidities and vascular disorders; Phenogroup 4 (<i>n</i> = 288, 22%) included older patients with bradyarrhythmia and atrial fibrillation. After adjusting for age, sex, and Get with the Guidelines-Heart Failure risk score, Phenogroup 2 had the highest risk of all-cause death and cardiac death. In conclusion, we identified 4 clinically relevant phenogroups of ADHF patients, each associated with different adverse outcomes. Phenotyping may provide a better understanding of the underlying mechanisms involved in the heterogeneity of ADHF and decompensation. Furthermore, it may facilitate the search for phenotype-specific therapeutic strategies.</p>\\n<p></p>\",\"PeriodicalId\":13711,\"journal\":{\"name\":\"International heart journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International heart journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1536/ihj.24-080\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International heart journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1536/ihj.24-080","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Phenogroups and Their Prognosis of Acute Decompensated Heart Failure with Preserved Ejection Fraction
Acute heart failure is an important cause of unplanned hospitalizations and poses a significant burden through increased mortality and frequent hospitalizations. Heart failure with preserved ejection fraction (HFpEF) presents as a diverse condition characterized by complex cardiovascular and non-cardiovascular pathology. This study aimed to identify distinct clinical phenotypes in acute decompensated HFpEF (ADHF) using cluster analysis and assess their prognostic significance. We applied a latent class analysis to 1,281 ADHF patients admitted to a single cardiac intensive care unit between 2008 and 2022 with a left ventricular ejection fraction ≥ 50%. We used 83 factors obtained at hospitalization. We evaluated the association between phenogroups and clinical outcomes using either Cox regression model or Fine-Gray competing risk model. We identified 4 phenogroups: Phenogroup 1 (n = 133, 10%) included younger patients with metabolic disorders and a low level of B-type natriuretic peptide (BNP); Phenogroup 2 (n = 346, 27%) had systemic congestion and high BNP levels; Phenogroup 3 (n = 514, 40%) had multiple comorbidities and vascular disorders; Phenogroup 4 (n = 288, 22%) included older patients with bradyarrhythmia and atrial fibrillation. After adjusting for age, sex, and Get with the Guidelines-Heart Failure risk score, Phenogroup 2 had the highest risk of all-cause death and cardiac death. In conclusion, we identified 4 clinically relevant phenogroups of ADHF patients, each associated with different adverse outcomes. Phenotyping may provide a better understanding of the underlying mechanisms involved in the heterogeneity of ADHF and decompensation. Furthermore, it may facilitate the search for phenotype-specific therapeutic strategies.
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