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 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.

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Journal
Scientific Reports
Published
2024-12-19
DOI
https://doi.org/10.1038/s41598-024-83712-w
Citations
2
Primary Topic
Heart Rate Variability and Autonomic Control
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article
Field-Weighted Citation Impact
0.80

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article

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

Daniel Sinnecker, Alexander Steger, Melanie Maier, Ina-Maria Rückert-Eheberg et al.
2 citations
Scientific Reports
Heart Rate Variability and Autonomic Control
0.80
article

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

Daniel Sinnecker, Alexander Steger, Melanie Maier, Ina-Maria Rückert-Eheberg, Stefan Kääb, Julia Allescher, Moritz F. Sinner, Petra Barthel, Alexander Müller, Konstantinos D. Rizas, Alexander Hapfelmeier, Georg Schmidt, Eimo Martens, Birgit Linkohr, Karl‐Ludwig Laugwitz, Arne Müller, Helene Hildegard Heidegger, Annette Peters
article en
2 citations

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: 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.

Scientific ReportsVol. 14(1)
TUM Klinikum (DE), Helmholtz Zentrum München (DE), LMU Klinikum (DE), Zimmer Biomet (Germany) (DE), Medizinisches Versorgungszentrum Prof. Mathey, Prof. Schofer (DE), German Centre for Cardiovascular Research (DE), Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE)
Technische Universität München
Good health and well-being
Openalex Percentile: Top 22%
Heart Rate Variability and Autonomic Control
0.80
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