急性心力衰竭的预后指标。

Domingo A Pascual-Figal, Luis Caballero, Jesús Sanchez-Mas, Antonio Lax
{"title":"急性心力衰竭的预后指标。","authors":"Domingo A Pascual-Figal,&nbsp;Luis Caballero,&nbsp;Jesús Sanchez-Mas,&nbsp;Antonio Lax","doi":"10.1517/17530059.2013.814638","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Acute heart failure (AHF) is the leading cause of hospitalization in patients over 65 years, representing a heterogenic syndrome and a major burden, as it is associated with elevated health expenditures and high rates of mortality and readmission.</p><p><strong>Areas covered: </strong>This article provides a review of individual markers for risk stratification, including clinical, cardiorenal, hemodynamic, neurohormonal and cardiac biomarkers. In addition, aspects as complementary value, monitoring, risk models and events prediction are analyzed.</p><p><strong>Expert opinion: </strong>In clinical practice, risk stratification of AHF is complex and relies on the integration of bedside evaluation and laboratory biomarkers. Measures of congestion and perfusion, renal function, natriuretic peptides and cardiac troponins have become standard risk markers of death and/or readmission. However, there are numerous research findings that do not translate into an improved clinical management of individuals and a reduction of health costs. Research on this field needs to be redirected in a prospective manner in order to evaluate risk models in the emergency department. This would allow safe identification of patients at lower risk - who could be transferred and managed in out-patient facilities - as well as those biomarkers that, by reflecting pathophysiological routes, could be used as a guide to related therapeutics for improving outcomes. In addition, the identification of specific markers and models closely related with the risk of recurrent AHF is mandatory. Consequently, it is the time for clinicians working in networks to assume a leading role in translating risk assessment in AHF into clinical practice.</p>","PeriodicalId":72996,"journal":{"name":"Expert opinion on medical diagnostics","volume":"7 4","pages":"379-92"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1517/17530059.2013.814638","citationCount":"10","resultStr":"{\"title\":\"Prognostic markers for acute heart failure.\",\"authors\":\"Domingo A Pascual-Figal,&nbsp;Luis Caballero,&nbsp;Jesús Sanchez-Mas,&nbsp;Antonio Lax\",\"doi\":\"10.1517/17530059.2013.814638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Acute heart failure (AHF) is the leading cause of hospitalization in patients over 65 years, representing a heterogenic syndrome and a major burden, as it is associated with elevated health expenditures and high rates of mortality and readmission.</p><p><strong>Areas covered: </strong>This article provides a review of individual markers for risk stratification, including clinical, cardiorenal, hemodynamic, neurohormonal and cardiac biomarkers. In addition, aspects as complementary value, monitoring, risk models and events prediction are analyzed.</p><p><strong>Expert opinion: </strong>In clinical practice, risk stratification of AHF is complex and relies on the integration of bedside evaluation and laboratory biomarkers. Measures of congestion and perfusion, renal function, natriuretic peptides and cardiac troponins have become standard risk markers of death and/or readmission. However, there are numerous research findings that do not translate into an improved clinical management of individuals and a reduction of health costs. Research on this field needs to be redirected in a prospective manner in order to evaluate risk models in the emergency department. This would allow safe identification of patients at lower risk - who could be transferred and managed in out-patient facilities - as well as those biomarkers that, by reflecting pathophysiological routes, could be used as a guide to related therapeutics for improving outcomes. In addition, the identification of specific markers and models closely related with the risk of recurrent AHF is mandatory. Consequently, it is the time for clinicians working in networks to assume a leading role in translating risk assessment in AHF into clinical practice.</p>\",\"PeriodicalId\":72996,\"journal\":{\"name\":\"Expert opinion on medical diagnostics\",\"volume\":\"7 4\",\"pages\":\"379-92\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1517/17530059.2013.814638\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert opinion on medical diagnostics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1517/17530059.2013.814638\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert opinion on medical diagnostics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1517/17530059.2013.814638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

急性心力衰竭(AHF)是65岁以上患者住院的主要原因,是一种异质综合征和主要负担,因为它与卫生支出增加、死亡率和再入院率高有关。涉及领域:本文综述了风险分层的个体标志物,包括临床、心肾、血流动力学、神经激素和心脏生物标志物。并从互补价值、监测、风险模型、事件预测等方面进行了分析。专家意见:在临床实践中,AHF的风险分层是复杂的,依赖于床边评估和实验室生物标志物的整合。充血和灌注、肾功能、利钠肽和心肌肌钙蛋白的测量已成为死亡和/或再入院的标准危险标志。然而,有许多研究结果并没有转化为改善个人的临床管理和降低医疗费用。这一领域的研究需要以前瞻性的方式重新定位,以评估急诊科的风险模型。这将允许安全识别风险较低的患者-可以在门诊设施转移和管理-以及那些通过反映病理生理途径可作为相关治疗方法指导以改善结果的生物标志物。此外,必须确定与AHF复发风险密切相关的特定标志物和模型。因此,是时候让在网络中工作的临床医生承担主导作用,将AHF的风险评估转化为临床实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostic markers for acute heart failure.

Introduction: Acute heart failure (AHF) is the leading cause of hospitalization in patients over 65 years, representing a heterogenic syndrome and a major burden, as it is associated with elevated health expenditures and high rates of mortality and readmission.

Areas covered: This article provides a review of individual markers for risk stratification, including clinical, cardiorenal, hemodynamic, neurohormonal and cardiac biomarkers. In addition, aspects as complementary value, monitoring, risk models and events prediction are analyzed.

Expert opinion: In clinical practice, risk stratification of AHF is complex and relies on the integration of bedside evaluation and laboratory biomarkers. Measures of congestion and perfusion, renal function, natriuretic peptides and cardiac troponins have become standard risk markers of death and/or readmission. However, there are numerous research findings that do not translate into an improved clinical management of individuals and a reduction of health costs. Research on this field needs to be redirected in a prospective manner in order to evaluate risk models in the emergency department. This would allow safe identification of patients at lower risk - who could be transferred and managed in out-patient facilities - as well as those biomarkers that, by reflecting pathophysiological routes, could be used as a guide to related therapeutics for improving outcomes. In addition, the identification of specific markers and models closely related with the risk of recurrent AHF is mandatory. Consequently, it is the time for clinicians working in networks to assume a leading role in translating risk assessment in AHF into clinical practice.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信