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Oxford University Press, European Journal of Preventive Cardiology, 15(28), p. e1-e2, 2020

DOI: 10.1177/2047487320908700

Oxford University Press, European Journal of Preventive Cardiology, 11(28), p. 1214-1221, 2020

DOI: 10.1177/2047487320901416

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Early cardiovascular structural and functional abnormalities as a guide to future morbid events

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Abstract Aims Our aim was to evaluate the predictive value of a battery of 10 non-invasive tests of cardiovascular structural and functional health on the future risk of cardiovascular morbid events. Methods and Results A total of 1900 asymptomatic adults concerned about their risk for cardiovascular disease underwent non-invasive assessment with 10 tests of vascular and cardiac structure and function. A disease score (DS) was calculated for each individual based on these 10 tests. Follow-up (mean 9.2 years) for cardiovascular morbidity and mortality was available for 1442 individuals (mean age 53.2 years, 48.2% women). Those in the lowest DS tertile (0–2) experienced 0.16 cardiovascular events per 100 patient-years (PY), those in the middle tertile (3–5) experienced 0.86 events per 100 PY, and those in the highest tertile (6+) experienced 1.3 events per 100 PY (p < .001). Sensitivity analysis, assuming a neutral effect of DS on projected events in subjects not followed, did not alter statistical significance. Risk assessment using the Framingham risk score (FRS) also predicted morbid events but the two methods differed in identifying individuals at high risk. The net reclassification index was improved by 0.11 (p = 0.01) when DS was added to FRS. Conclusions Assessing the biological disease process in the arteries and heart of asymptomatic adults provides a guide to the risk of a future cardiovascular morbid event. Larger and longer studies are needed to determine whether risk factor algorithms, the severity of the biological process or some combination is the optimal method for identifying individuals in need of intervention to delay morbid events.