An Electrocardiogram-Based Risk Equation for Incident Cardiovascular Disease From the National Health and Nutrition Examination Survey | Zendy

Amit Shah | Zendy; Viola Vaccarino | Zendy; A. Cecile J.W. Janssens | Zendy; W. Dana Flanders | Zendy; Suman Kundu | Zendy; Emir Veledar | Zendy; Peter W.F. Wilson | Zendy; Elsayed Z. Soliman | Zendy

Open Access

An Electrocardiogram-Based Risk Equation for Incident Cardiovascular Disease From the National Health and Nutrition Examination Survey

Author(s) -

Amit Shah,

Viola Vaccarino,

A. Cecile J.W. Janssens,

W. Dana Flanders,

Suman Kundu,

Emir Veledar,

Peter W.F. Wilson,

Elsayed Z. Soliman

Publication year - 2016

Publication title -

jama cardiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.108

H-Index - 63

eISSN - 2380-6591

pISSN - 2380-6583

DOI - 10.1001/jamacardio.2016.2173

Subject(s) - national health and nutrition examination survey , medicine , cohort , framingham risk score , cohort study , asymptomatic , framingham heart study , demography , disease , gerontology , population , environmental health , sociology

Electrocardiography (ECG) may detect subclinical cardiovascular disease (CVD) in asymptomatic individuals, but its role in assessing adverse events beyond traditional risk factors is not clear. Interval and vector data that are commonly available on modern ECGs may offer independent prognostic information that improves risk classification.

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