{"title":"保留射血分数的心力衰竭患者的表型特征","authors":"E. K. Serezhina, A. G. Obrezan","doi":"10.15829/1560-4071-2023-5348","DOIUrl":null,"url":null,"abstract":"The current classification of heart failure (HF) is based on the myocardium systolic function. However, due to the polyetiological nature of the HF with preserved ejection fraction (HFpEF) and its increasing prevalence and clinical significance, a more advanced approach to the clinical assessment of patients is needed to determine the management tactics focused on the patient's phenotype. At the same time, a single algorithm for phenotyping patients with HF has not been formulated yet. There is also no terminological unity in approaches. A review of 47 original articles published in the period from 2015 to 2022 in English on Elsevier, Pubmed, Web of Science databases with a following keywords \"HFpEF\", \"phenotype\", \"clusters\", \"phenotypic spectrum\", \"diastolic dysfunction\" makes it possible to identify several different approaches to phenotyping HFpEF, which are based on the etiology, pathophysiological mechanisms or clinical manifestations. Differences in the algorithms used for classification lead to the formation of groups of patients with different characteristics. Today it becomes obvious that in order to develop an optimal phenotyping approach and patient-oriented management of HFpEF, a combined analysis of a large number of anamnestic, clinical and paraclinical data is necessary. To solve such a problem, unified clustering system for HFpEF types should be created, which will be basis for phenotyping patients proposed by the authors.","PeriodicalId":21389,"journal":{"name":"Russian Journal of Cardiology","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Features of phenotyping patients with heart failure with preserved ejection fraction\",\"authors\":\"E. K. Serezhina, A. G. Obrezan\",\"doi\":\"10.15829/1560-4071-2023-5348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current classification of heart failure (HF) is based on the myocardium systolic function. However, due to the polyetiological nature of the HF with preserved ejection fraction (HFpEF) and its increasing prevalence and clinical significance, a more advanced approach to the clinical assessment of patients is needed to determine the management tactics focused on the patient's phenotype. At the same time, a single algorithm for phenotyping patients with HF has not been formulated yet. There is also no terminological unity in approaches. A review of 47 original articles published in the period from 2015 to 2022 in English on Elsevier, Pubmed, Web of Science databases with a following keywords \\\"HFpEF\\\", \\\"phenotype\\\", \\\"clusters\\\", \\\"phenotypic spectrum\\\", \\\"diastolic dysfunction\\\" makes it possible to identify several different approaches to phenotyping HFpEF, which are based on the etiology, pathophysiological mechanisms or clinical manifestations. Differences in the algorithms used for classification lead to the formation of groups of patients with different characteristics. Today it becomes obvious that in order to develop an optimal phenotyping approach and patient-oriented management of HFpEF, a combined analysis of a large number of anamnestic, clinical and paraclinical data is necessary. To solve such a problem, unified clustering system for HFpEF types should be created, which will be basis for phenotyping patients proposed by the authors.\",\"PeriodicalId\":21389,\"journal\":{\"name\":\"Russian Journal of Cardiology\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Russian Journal of Cardiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15829/1560-4071-2023-5348\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal of Cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15829/1560-4071-2023-5348","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
目前心衰(HF)的分类是基于心肌收缩功能。然而,由于具有保留射血分数(HFpEF)的心衰的多学性质及其日益增加的患病率和临床意义,需要一种更先进的患者临床评估方法来确定以患者表型为重点的管理策略。与此同时,一种用于HF患者表型的单一算法尚未制定。在方法上也没有术语上的统一。通过对2015 - 2022年在Elsevier、Pubmed、Web of Science数据库中发表的47篇英文原创文章的回顾,检索关键词为“HFpEF”、“表型”、“聚类”、“表型谱”、“舒张功能障碍”,可以确定几种不同的HFpEF表型分析方法,这些方法基于病因、病理生理机制或临床表现。用于分类的算法的差异导致形成具有不同特征的患者群体。今天,很明显,为了开发一种最佳的表现型方法和以患者为导向的HFpEF管理,有必要对大量的记忆、临床和临床旁数据进行综合分析。为了解决这一问题,需要建立统一的HFpEF分型聚类系统,这将是作者提出的患者表型分型的基础。
Features of phenotyping patients with heart failure with preserved ejection fraction
The current classification of heart failure (HF) is based on the myocardium systolic function. However, due to the polyetiological nature of the HF with preserved ejection fraction (HFpEF) and its increasing prevalence and clinical significance, a more advanced approach to the clinical assessment of patients is needed to determine the management tactics focused on the patient's phenotype. At the same time, a single algorithm for phenotyping patients with HF has not been formulated yet. There is also no terminological unity in approaches. A review of 47 original articles published in the period from 2015 to 2022 in English on Elsevier, Pubmed, Web of Science databases with a following keywords "HFpEF", "phenotype", "clusters", "phenotypic spectrum", "diastolic dysfunction" makes it possible to identify several different approaches to phenotyping HFpEF, which are based on the etiology, pathophysiological mechanisms or clinical manifestations. Differences in the algorithms used for classification lead to the formation of groups of patients with different characteristics. Today it becomes obvious that in order to develop an optimal phenotyping approach and patient-oriented management of HFpEF, a combined analysis of a large number of anamnestic, clinical and paraclinical data is necessary. To solve such a problem, unified clustering system for HFpEF types should be created, which will be basis for phenotyping patients proposed by the authors.
期刊介绍:
Russian Journal of Cardiology has been issued since 1996. The language of this publication is Russian, with tables of contents and abstracts of all articles presented in English as well. Editor-in-Chief: Prof. Eugene V.Shlyakhto, President of the Russian Society of Cardiology.
The aim of the journal is both scientific and practical, also with referring to organizing matters of the Society. The best of all cardiologic research in Russia is submitted to the Journal. Moreover, it contains useful tips and clinical examples for practicing cardiologists. Journal is peer-reviewed, with multi-stage editing. The editorial board is presented by the leading cardiologists from different cities of Russia.