Physiological measurement · 2026
Single-lead ECG biomarkers for cardiovascular and mortality risk prediction.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Attali Lisa, Solewicz Yosef, Brimer Biton Shany, Hamami Hagai, Zvuloni Eran, Green Ilan, Laufer Izhar, Laguna Pablo, Martín-Yebra Alba, Martínez Juan Pablo, Almog Ronit, Behar Joachim A
Аннотация
OBJECTIVE: Cardiovascular disease remains one of the leading causes of morbidity and mortality worldwide, highlighting the need for accurate risk prediction. Atrial fibrillation burden (AFB), premature ventricular contraction burden (PVCB), and T-wave alternans (TWA) have been individually associated with adverse outcomes. We hypothesized that these three digital ECG biomarkers provide complementary prognostic information for major cardiovascular endpoints and all-cause mortality, and developed a machine learning approach combining these biomarkers for risk prediction.
APPROACH: We analyzed 81,362 Holter recordings from 54,395 individuals across 20 primary care centers in Israel. A random forest model using AFB, PVCB, TWA, and age was trained to predict 5-year risk of heart failure (HF), ischemic stroke (IS), and all-cause mortality (ACM).
MAIN RESULTS: On the test set, best AUROCs were for HF 0.75 [95% CI: 0.74-0.77] (n_{pos}=622), for IS 0.69 [0.66-0.71] (n_{pos}=365), and for ACM 0.79 [0.77-0.80] (n_{pos}=1060). Combining the three ECG-derived biomarkers showed complementary predictive value and improved discrimination by up to 10% over age alone in individuals aged <75 years.
SIGNIFICANCE: AFB, PVCB, and TWA contribute complementary prognostic information for risk stratification. When combined with age, these biomarkers improve predictive performance compared with age alone.
APPROACH: We analyzed 81,362 Holter recordings from 54,395 individuals across 20 primary care centers in Israel. A random forest model using AFB, PVCB, TWA, and age was trained to predict 5-year risk of heart failure (HF), ischemic stroke (IS), and all-cause mortality (ACM).
MAIN RESULTS: On the test set, best AUROCs were for HF 0.75 [95% CI: 0.74-0.77] (n_{pos}=622), for IS 0.69 [0.66-0.71] (n_{pos}=365), and for ACM 0.79 [0.77-0.80] (n_{pos}=1060). Combining the three ECG-derived biomarkers showed complementary predictive value and improved discrimination by up to 10% over age alone in individuals aged <75 years.
SIGNIFICANCE: AFB, PVCB, and TWA contribute complementary prognostic information for risk stratification. When combined with age, these biomarkers improve predictive performance compared with age alone.