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Published on: January 28, 2020
Prognostic Value of Cardiovascular Biomarkers in the Population
Johannes Tobias Neumann1,2,3,4, Raphael Twerenbold1,2,3, Jessica Weimann1,2
1Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Insights
Adding cardiovascular biomarkers like high-sensitivity cardiac troponin I and N-terminal pro-B-type natriuretic peptide to risk factors improved atherosclerotic cardiovascular disease prediction, especially for heart failure and mortality in older adults.
Area of Science:
- Cardiology
- Preventive Medicine
- Biomarker Research
Background:
- Identifying individuals at high risk for atherosclerotic cardiovascular disease (ASCVD) is crucial for effective primary prevention strategies.
- Established risk factors are used to assess ASCVD risk, but improved risk stratification is needed.
Purpose of the Study:
- To evaluate the prognostic value of routinely available cardiovascular biomarkers when added to established risk factors for ASCVD.
- To assess the incremental predictive value of specific biomarkers for ASCVD and related outcomes.
Main Methods:
- Individual-level data from 28 population-based cohorts across 12 countries were analyzed.
- High-sensitivity cardiac troponin I, high-sensitivity cardiac troponin T, NT-proBNP, BNP, and hs-CRP were measured.
- Associations with incident ASCVD, all-cause mortality, heart failure, ischemic stroke, and myocardial infarction were evaluated using Cox regression and reclassification analyses.
Main Results:
- All measured biomarkers were significantly associated with incident ASCVD and secondary outcomes.
- Adding single biomarkers to established risk factors improved risk prediction (C statistic).
- A combination of hs-cTnI, NT-proBNP, and hs-CRP improved 10-year ASCVD prediction in individuals <65 years and showed greater improvement for heart failure and all-cause mortality, particularly in those aged ≥65 years.
Conclusions:
- Cardiovascular biomarkers are strongly associated with cardiovascular events and mortality.
- While biomarkers offer a modest improvement in ASCVD risk prediction, their value is more significant for predicting heart failure and mortality.
- Biomarker incorporation enhances risk prediction models, especially in older populations and for specific cardiovascular outcomes.
Importance:
Identification of individuals at high risk for atherosclerotic cardiovascular disease within the population is important to inform primary prevention strategies.
Objective:
To evaluate the prognostic value of routinely available cardiovascular biomarkers when added to established risk factors.
Design, Setting, And Participants:
Individual-level analysis including data on cardiovascular biomarkers from 28 general population-based cohorts from 12 countries and 4 continents with assessments by participant age. The median follow-up was 11.8 years.
Exposure:
Measurement of high-sensitivity cardiac troponin I, high-sensitivity cardiac troponin T, N-terminal pro-B-type natriuretic peptide, B-type natriuretic peptide, or high-sensitivity C-reactive protein.
Main Outcomes And Measures:
The primary outcome was incident atherosclerotic cardiovascular disease, which included all fatal and nonfatal events. The secondary outcomes were all-cause mortality, heart failure, ischemic stroke, and myocardial infarction. Subdistribution hazard ratios (HRs) for the association of biomarkers and outcomes were calculated after adjustment for established risk factors. The additional predictive value of the biomarkers was assessed using the C statistic and reclassification analyses.
Results:
The analyses included 164 054 individuals (median age, 53.1 years [IQR, 42.7-62.9 years] and 52.4% were women). There were 17 211 incident atherosclerotic cardiovascular disease events. All biomarkers were significantly associated with incident atherosclerotic cardiovascular disease (subdistribution HR per 1-SD change, 1.13 [95% CI, 1.11-1.16] for high-sensitivity cardiac troponin I; 1.18 [95% CI, 1.12-1.23] for high-sensitivity cardiac troponin T; 1.21 [95% CI, 1.18-1.24] for N-terminal pro-B-type natriuretic peptide; 1.14 [95% CI, 1.08-1.22] for B-type natriuretic peptide; and 1.14 [95% CI, 1.12-1.16] for high-sensitivity C-reactive protein) and all secondary outcomes. The addition of each single biomarker to a model that included established risk factors improved the C statistic. For 10-year incident atherosclerotic cardiovascular disease in younger people (aged <65 years), the combination of high-sensitivity cardiac troponin I, N-terminal pro-B-type natriuretic peptide, and high-sensitivity C-reactive protein resulted in a C statistic improvement from 0.812 (95% CI, 0.8021-0.8208) to 0.8194 (95% CI, 0.8089-0.8277). The combination of these biomarkers also improved reclassification compared with the conventional model. Improvements in risk prediction were most pronounced for the secondary outcomes of heart failure and all-cause mortality. The incremental value of biomarkers was greater in people aged 65 years or older vs younger people.
Conclusions And Relevance:
Cardiovascular biomarkers were strongly associated with fatal and nonfatal cardiovascular events and mortality. The addition of biomarkers to established risk factors led to only a small improvement in risk prediction metrics for atherosclerotic cardiovascular disease, but was more favorable for heart failure and mortality.
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