Deceleration capacity derived from a five-minute electrocardiogram predicts mortality in the general population.

IF 3.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Alexander Steger, Petra Barthel, Alexander Müller, Ina-Maria Rückert-Eheberg, Birgit Linkohr, Julia Allescher, Melanie Maier, Alexander Hapfelmeier, Eimo Martens, Helene Hildegard Heidegger, Arne Michael Müller, Konstantinos D Rizas, Stefan Kääb, Moritz F Sinner, Daniel Sinnecker, Karl-Ludwig Laugwitz, Annette Peters, Georg Schmidt
{"title":"Deceleration capacity derived from a five-minute electrocardiogram predicts mortality in the general population.","authors":"Alexander Steger, Petra Barthel, Alexander Müller, Ina-Maria Rückert-Eheberg, Birgit Linkohr, Julia Allescher, Melanie Maier, Alexander Hapfelmeier, Eimo Martens, Helene Hildegard Heidegger, Arne Michael Müller, Konstantinos D Rizas, Stefan Kääb, Moritz F Sinner, Daniel Sinnecker, Karl-Ludwig Laugwitz, Annette Peters, Georg Schmidt","doi":"10.1038/s41598-024-83712-w","DOIUrl":null,"url":null,"abstract":"<p><p>In contemporary healthcare, effective risk stratification in the general population is vital amidst rising chronic disease rates and an ageing demographic. Deceleration Capacity of the heart rate (DC), derived from 24-hour Holter electrocardiograms, holds promise in risk stratification for cardiac patients. However, the potential of short-term electrocardiograms of five minutes duration for population screening has not been fully explored. Our study aims to investigate the utility of Deceleration Capacity derived from short-term electrocardiograms as a scalable, fully-automated screening tool for predicting long-term mortality risk in the general population. Within a cohort of a representative population-based survey in Germany (KORA-KMC-study), 823 participants with sinus rhythm aged 27 to 76 years at enrollment (females 47.4%) were followed for a median of 13.4 years (IQR 13.1-13.6). All-cause mortality was defined as the primary endpoint and observed in 159 participants. Deceleration Capacity was calculated from 5-minute 12-lead electrocardiograms by a fully automated approach. Participants were divided into three predefined risk categories: DC<sub>category0</sub> - low-risk (> 4.5ms); DC<sub>category1</sub> - intermediate-risk (2.5-4.5ms); and DC<sub>category2</sub> - high-risk (≤ 2.5ms). More than two-thirds of the participants (n = 564, 68.5%) fell into DC<sub>category0</sub>, about one-fifth (n = 168, 20.4%) into DC<sub>category1</sub>, and about one-tenth (n = 91, 11.1%) into DC<sub>category2</sub>. Estimated 13-years mortality in the risk groups was 16.7%, 23.5%, and 49.1%, respectively (p < 0.001). Adjusting for age, life-style-related risk factors, and comorbidities, increased mortality risk was observed for DC<sub>category2</sub> (HR 2.34, 95%-CI 1.56-3.50). Deceleration Capacity, derived automatically from brief 5-minute electrocardiogram recordings, emerges as a robust, feasible, and independent predictor of long-term mortality risk in the general population.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"30566"},"PeriodicalIF":3.8000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Reports","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41598-024-83712-w","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

In contemporary healthcare, effective risk stratification in the general population is vital amidst rising chronic disease rates and an ageing demographic. Deceleration Capacity of the heart rate (DC), derived from 24-hour Holter electrocardiograms, holds promise in risk stratification for cardiac patients. However, the potential of short-term electrocardiograms of five minutes duration for population screening has not been fully explored. Our study aims to investigate the utility of Deceleration Capacity derived from short-term electrocardiograms as a scalable, fully-automated screening tool for predicting long-term mortality risk in the general population. Within a cohort of a representative population-based survey in Germany (KORA-KMC-study), 823 participants with sinus rhythm aged 27 to 76 years at enrollment (females 47.4%) were followed for a median of 13.4 years (IQR 13.1-13.6). All-cause mortality was defined as the primary endpoint and observed in 159 participants. Deceleration Capacity was calculated from 5-minute 12-lead electrocardiograms by a fully automated approach. Participants were divided into three predefined risk categories: DCcategory0 - low-risk (> 4.5ms); DCcategory1 - intermediate-risk (2.5-4.5ms); and DCcategory2 - high-risk (≤ 2.5ms). More than two-thirds of the participants (n = 564, 68.5%) fell into DCcategory0, about one-fifth (n = 168, 20.4%) into DCcategory1, and about one-tenth (n = 91, 11.1%) into DCcategory2. Estimated 13-years mortality in the risk groups was 16.7%, 23.5%, and 49.1%, respectively (p < 0.001). Adjusting for age, life-style-related risk factors, and comorbidities, increased mortality risk was observed for DCcategory2 (HR 2.34, 95%-CI 1.56-3.50). Deceleration Capacity, derived automatically from brief 5-minute electrocardiogram recordings, emerges as a robust, feasible, and independent predictor of long-term mortality risk in the general population.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
×
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