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Steger, A.* ; Barthel, P.* ; Müller, A.* ; Rückert-Eheberg, I.-M. ; Linkohr, B. ; Allescher, J.* ; Maier, M.* ; Hapfelmeier, A.* ; Martens, E.* ; Heidegger, H.H.* ; Müller, A.M.* ; Rizas, K.D.* ; Kääb, S.* ; Sinner, M.F.* ; Sinnecker, D.* ; Laugwitz, K.L.* ; Peters, A. ; Schmidt, G.*

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

Sci. Rep. 14:30566 (2024)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Autonomic Regulation ; Deceleration Capacity Of The Heart Rate ; Electrocardiogram ; Fully Automated Biosignal Analysis ; General Population Screening ; Non-invasive Long-term Risk Stratification; Heart-rate
Sprache englisch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Zeitschrift Scientific Reports
Quellenangaben Band: 14, Heft: 1, Seiten: , Artikelnummer: 30566 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-010
G-504000-006
G-504090-001
Förderungen Technische Universitt Mnchen (1025)
DOI 10.1038/s41598-024-83712-w
WOS ID 001381226100001
Scopus ID 85212776409
PubMed ID 39702502
Erfassungsdatum 2025-01-08
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