Peter Godsk Jørgensen1, Jan S Jensen2, Jacob L Marott3, Gorm B Jensen4, Merete Appleyard3, Rasmus Mogelvang5. 1. Copenhagen City Heart Study, Frederiksberg Hospital, Frederiksberg, Denmark; Department of Cardiology, Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark; Clinical Institute of Surgery and Internal Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark. Electronic address: petergodsk@gmail.com. 2. Copenhagen City Heart Study, Frederiksberg Hospital, Frederiksberg, Denmark; Department of Cardiology, Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark; Clinical Institute of Surgery and Internal Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark. 3. Copenhagen City Heart Study, Frederiksberg Hospital, Frederiksberg, Denmark. 4. Copenhagen City Heart Study, Frederiksberg Hospital, Frederiksberg, Denmark; Department of Cardiology, Hvidovre Hospital, University of Copenhagen, Copenhagen, Denmark. 5. Copenhagen City Heart Study, Frederiksberg Hospital, Frederiksberg, Denmark; Department of Cardiology, Rigshospitalet, Copenhagen, Denmark.
Abstract
BACKGROUND: Risk prediction in elderly patients is increasingly relevant due to longer life expectancy. OBJECTIVES: This study sought to examine whether electrocardiographic (ECG) changes provide prognostic information incremental to current risk models and to the conventional risk factors. METHODS: In all, 6,991 participants from the Copenhagen Heart Study attending an examination at age ≥65 years were included. ECG changes were defined as Q waves, ST-segment depression, T-wave changes, ventricular conduction defects, and left ventricular hypertrophy based on the Minnesota code. The primary endpoint was fatal cardiovascular disease (CVD) event and the secondary was fatal or nonfatal CVD event. In our study, 2,236 fatal CVD and 3,849 fatal or nonfatal CVD events occurred during a median of 11.9 and 9.8 years of follow-up. RESULTS: ECG changes were frequently present (30.6%) and associated with conventional risk factors. All ECG changes except 1 univariably predicted both endpoints. Event rates of ECG changes versus no ECG changes were respectively 41.4% versus 27.8% and 64.6% versus 50.8%. When added to existing risk scores, ECG changes independently increased the risk of both endpoints. Fatal CVD events: hazard ratio (HR): 1.33 (95% confidence interval [CI]: 1.29 to 1.36; p < 0.001) and fatal or nonfatal CVD events: HR: 1.21 (95% CI: 1.19 to 1.24; p < 0.001). When added to conventional risk factors, continuous net reclassification improvement was 42.3% (95% CI: 42.0 to 42.4; p < 0.001) for fatal and 29.2% (95% CI: 28.4 to 29.2; p < 0.001) for fatal or nonfatal events. Categorical net reclassification was 7.1% (95% CI: 6.7 to 9.0; p < 0.001) for fatal and 4.2% (95% CI: 3.5 to 5.6; p < 0.001) for fatal or nonfatal events. CONCLUSIONS: Simple assessment of the existence of ECG changes improves risk prediction in the general population of persons age ≥65 years.
BACKGROUND: Risk prediction in elderly patients is increasingly relevant due to longer life expectancy. OBJECTIVES: This study sought to examine whether electrocardiographic (ECG) changes provide prognostic information incremental to current risk models and to the conventional risk factors. METHODS: In all, 6,991 participants from the Copenhagen Heart Study attending an examination at age ≥65 years were included. ECG changes were defined as Q waves, ST-segment depression, T-wave changes, ventricular conduction defects, and left ventricular hypertrophy based on the Minnesota code. The primary endpoint was fatal cardiovascular disease (CVD) event and the secondary was fatal or nonfatal CVD event. In our study, 2,236 fatal CVD and 3,849 fatal or nonfatal CVD events occurred during a median of 11.9 and 9.8 years of follow-up. RESULTS: ECG changes were frequently present (30.6%) and associated with conventional risk factors. All ECG changes except 1 univariably predicted both endpoints. Event rates of ECG changes versus no ECG changes were respectively 41.4% versus 27.8% and 64.6% versus 50.8%. When added to existing risk scores, ECG changes independently increased the risk of both endpoints. Fatal CVD events: hazard ratio (HR): 1.33 (95% confidence interval [CI]: 1.29 to 1.36; p < 0.001) and fatal or nonfatal CVD events: HR: 1.21 (95% CI: 1.19 to 1.24; p < 0.001). When added to conventional risk factors, continuous net reclassification improvement was 42.3% (95% CI: 42.0 to 42.4; p < 0.001) for fatal and 29.2% (95% CI: 28.4 to 29.2; p < 0.001) for fatal or nonfatal events. Categorical net reclassification was 7.1% (95% CI: 6.7 to 9.0; p < 0.001) for fatal and 4.2% (95% CI: 3.5 to 5.6; p < 0.001) for fatal or nonfatal events. CONCLUSIONS: Simple assessment of the existence of ECG changes improves risk prediction in the general population of persons age ≥65 years.
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