Multimodality Strategy for Cardiovascular Risk Assessment: Performance in 2 Population-Based Cohorts

James A de Lemos1, Colby R Ayers2, Benjamin D Levine2

  • 1From Departments of Medicine (J.A.d.L., B.L., J.P.B., D.K.M., M.H.D., A.K.) and Clinical Sciences (C.R.A., J.D.B., D.K.M.), University of Texas Southwestern Medical Center, Dallas; Institute for Exercise and Environmental Medicine, Texas Health Presbyterian, Dallas (B.L.); Inova Heart and Vascular Institute, Fall Church, VA (C.R.d.); Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (T.J.W.); Departments of Medicine and Radiological Sciences, Wake Forest Health Sciences, Winston-Salem, NC (W.G.H.); Department of Medicine, University of Maryland School of Medicine, Baltimore (S.L.S.); The Johns Hopkins University School of Medicine, Baltimore, MD (P.O.); Los Angeles Biomedical Research Institute, CA (M.B.); Departments of Preventive Medicine and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (P.G.); and Baylor College of Medicine, Houston, TX (G.M.B.). james.delemos@utsouthwestern.edu.

Circulation
|April 1, 2017
PubMed

Insights

A new multimodality testing strategy significantly improves cardiovascular disease (CVD) risk assessment in adults without known CVD. Combining biomarkers enhances prediction of both global and atherosclerotic CVD (ASCVD) events.

Area of Science:

  • Cardiology
  • Preventive Medicine
  • Biomarker Discovery

Background:

  • Current cardiovascular disease (CVD) risk assessment tools have limitations in performance and scope, particularly for atherosclerotic CVD (ASCVD).
  • There is a need for improved risk stratification strategies in asymptomatic adults to prevent CVD events.

Purpose of the Study:

  • To evaluate a novel multimodality testing strategy for improved global and atherosclerotic CVD risk assessment.
  • To determine if combining multiple biomarkers enhances risk prediction in individuals without established CVD.

Main Methods:

  • Utilized data from the Multi-Ethnic Study of Atherosclerosis (MESA) and Dallas Heart Study (DHS) cohorts.
  • Assessed left ventricular hypertrophy (ECG), coronary artery calcium, N-terminal pro B-type natriuretic peptide, high-sensitivity cardiac troponin T, and high-sensitivity C-reactive protein.
  • Analyzed associations with global composite CVD outcomes and ASCVD events over 10 years, adjusting for traditional risk factors.

Main Results:

  • Each biomarker independently predicted global CVD events.
  • Integrating the five tests improved risk prediction model performance (c-statistic from 0.74 to 0.79, P=0.001) with significant reclassification improvements.
  • A simple integer score based on abnormal tests showed a graded association with increased global CVD risk, replicated in DHS and for ASCVD outcomes.

Conclusions:

  • A multimodality testing strategy incorporating ECG-derived left ventricular hypertrophy, coronary artery calcium, NT-proBNP, hs-cTnT, and hs-CRP significantly enhances CVD and ASCVD risk assessment.
  • This approach offers a more comprehensive risk stratification for adults without known CVD.
  • The findings support the clinical utility of combining diverse biomarkers for improved cardiovascular risk prediction.
Abstract

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