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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.
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.
Background:
Current strategies for cardiovascular disease (CVD) risk assessment among adults without known CVD are limited by suboptimal performance and a narrow focus on only atherosclerotic CVD (ASCVD). We hypothesized that a strategy combining promising biomarkers across multiple different testing modalities would improve global and atherosclerotic CVD risk assessment among individuals without known CVD.
Methods:
We included participants from MESA (Multi-Ethnic Study of Atherosclerosis) (n=6621) and the Dallas Heart Study (n=2202) who were free from CVD and underwent measurement of left ventricular hypertrophy by ECG, coronary artery calcium, N-terminal pro B-type natriuretic peptide, high-sensitivity cardiac troponin T, and high-sensitivity C-reactive protein. Associations of test results with the global composite CVD outcome (CVD death, myocardial infarction, stroke, coronary or peripheral revascularization, incident heart failure, or atrial fibrillation) and ASCVD (fatal or nonfatal myocardial infarction or stroke) were assessed over >10 years of follow-up. Multivariable analyses for the primary global CVD end point adjusted for traditional risk factors plus statin use and creatinine (base model).
Results:
Each test result was independently associated with global composite CVD events in MESA after adjustment for the components of the base model and the other test results (P<0.05 for each). When the 5 tests were added to the base model, the c-statistic improved from 0.74 to 0.79 (P=0.001), significant integrated discrimination improvement (0.07, 95% confidence interval [CI] 0.06-0.08, P<0.001) and category free net reclassification improvement (0.47; 95% CI, 0.38-0.56; P=0.003) were observed, and the model was well calibrated (χ2=12.2, P=0.20). Using a simple integer score counting the number of abnormal tests, compared with those with a score of 0, global CVD risk was increased among participants with a score of 1 (adjusted hazard ratio, 1.9; 95% CI, 1.4-2.6), 2 (hazard ratio, 3.2; 95% CI, 2.3-4.4), 3 (hazard ratio, 4.7; 95% CI, 3.4-6.5), and ≥4 (hazard ratio, 7.5; 95% CI, 5.2-10.6). Findings replicated in the Dallas Health Study were similar for the ASCVD outcome.
Conclusions:
Among adults without known CVD, a novel multimodality testing strategy using left ventricular hypertrophy by ECG, coronary artery calcium, N-terminal pro B-type natriuretic peptide, high-sensitivity cardiac troponin T, and high-sensitivity C-reactive protein significantly improved global CVD and ASCVD risk assessment.
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