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

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 p...

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Published in:Scientific reports 2024-12, Vol.14 (1), p.30566-8, Article 30566
Main Authors: Steger, Alexander, Barthel, Petra, Müller, Alexander, Rückert-Eheberg, Ina-Maria, Linkohr, Birgit, Allescher, Julia, Maier, Melanie, Hapfelmeier, Alexander, Martens, Eimo, Heidegger, Helene Hildegard, Müller, Arne Michael, Rizas, Konstantinos D., Kääb, Stefan, Sinner, Moritz F., Sinnecker, Daniel, Laugwitz, Karl-Ludwig, Peters, Annette, Schmidt, Georg
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container_title Scientific reports
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creator Steger, Alexander
Barthel, Petra
Müller, Alexander
Rückert-Eheberg, Ina-Maria
Linkohr, Birgit
Allescher, Julia
Maier, Melanie
Hapfelmeier, Alexander
Martens, Eimo
Heidegger, Helene Hildegard
Müller, Arne Michael
Rizas, Konstantinos D.
Kääb, Stefan
Sinner, Moritz F.
Sinnecker, Daniel
Laugwitz, Karl-Ludwig
Peters, Annette
Schmidt, Georg
description 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 category0 – low-risk (> 4.5ms); DC category1 – intermediate-risk (2.5-4.5ms); and DC category2 – high-risk (≤ 2.5ms). More than two-thirds of the participants ( n  = 564, 68.5%) fell into DC category0 , about one-fifth ( n  = 168, 20.4%) into DC category1 , and about one-tenth ( n  = 91, 11.1%) into DC category2 . Estimated 13-years mortality in the risk groups was 16.7%, 23.5%, and 49.1%, respectively ( p  
doi_str_mv 10.1038/s41598-024-83712-w
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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 category0 – low-risk (&gt; 4.5ms); DC category1 – intermediate-risk (2.5-4.5ms); and DC category2 – high-risk (≤ 2.5ms). More than two-thirds of the participants ( n  = 564, 68.5%) fell into DC category0 , about one-fifth ( n  = 168, 20.4%) into DC category1 , and about one-tenth ( n  = 91, 11.1%) into DC category2 . Estimated 13-years mortality in the risk groups was 16.7%, 23.5%, and 49.1%, respectively ( p  &lt; 0.001). Adjusting for age, life-style-related risk factors, and comorbidities, increased mortality risk was observed for DC category2 (HR 2.34, 95%-CI 1.56–3.50). 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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. 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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 category0 – low-risk (&gt; 4.5ms); DC category1 – intermediate-risk (2.5-4.5ms); and DC category2 – high-risk (≤ 2.5ms). More than two-thirds of the participants ( n  = 564, 68.5%) fell into DC category0 , about one-fifth ( n  = 168, 20.4%) into DC category1 , and about one-tenth ( n  = 91, 11.1%) into DC category2 . Estimated 13-years mortality in the risk groups was 16.7%, 23.5%, and 49.1%, respectively ( p  &lt; 0.001). Adjusting for age, life-style-related risk factors, and comorbidities, increased mortality risk was observed for DC category2 (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.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>39702502</pmid><doi>10.1038/s41598-024-83712-w</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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subjects 631/114
639/705/1046
692/308/409
692/4019
692/53/2423
692/700/1750
692/700/478/2772
Adult
Aged
Aging
Automation
Autonomic regulation
Comorbidity
Deceleration
Deceleration capacity of the heart rate
EKG
Electrocardiogram
Electrocardiography
Electrocardiography - methods
Electrocardiography, Ambulatory - methods
Female
Fully automated biosignal analysis
General population screening
Germany - epidemiology
Health risks
Heart diseases
Heart rate
Heart Rate - physiology
Humanities and Social Sciences
Humans
Male
Middle Aged
Mortality
Mortality risk
multidisciplinary
Non-invasive long-term risk stratification
Population
Population studies
Risk Assessment - methods
Risk Factors
Risk groups
Science
Science (multidisciplinary)
title Deceleration capacity derived from a five-minute electrocardiogram predicts mortality in the general population
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