Affiliation:
1. National Medical Research Center for Therapy and Preventive Medicine
2. National Medical Research Center for Therapy and Preventive Medicine;
Lomonosov Moscow State University
3. Pacific State Medical University
4. Tomsk National Research Medical Center, Cardiology Research Institute
5. Research and Practical Medical Center
6. Vologda Research Center
7. Cardiology dispensary
8. Almazov National Medical Research Cente
Abstract
Aim. To study the relationship of different levels of high-sensitivity C-reactive protein (hs-CRP) with cardiovascular events and assess its contribution to the development of outcomes in Russian regions.Material and methods. The work used the data from the multicenter study ESSE-RF — a representative sample of male and female population aged 25-64 years. All participants signed informed consent. The study included 10421 people (women, 6399 (61,4%)). The cohort was followed up from 2012 to 2019 (median follow-up period, 5,5 years). A hard endpoint (cardiovascular mortality and nonfatal myocardial infarction (MI)) was determined in 187 people, while a soft endpoint (nonfatal MI, stroke, revascularization, heart failure progression and cardiovascular mortality) — in 319 people.Results. The results showed that hs-CRP is significantly associated with the main risk factors (with the exception of low-density lipoproteins). At the same time, it was found that optimal hs-CRP level for predicting the risk of cardiovascular events (CVE) in Russian population is significantly lower than 3 mg/L, but higher than 1 mg/L (1,54/1,89 mg/dL for men and women, respectively). Adding hs-CRP to sex and age significantly improved risk prediction (AUC, 79,7; 95% CI, 77,8-81,7). At the same time, adding a wide list of confounders to hs-CRP, sex and age does not improve the model’s predictive value (AUC, 79,7; 78,2-82,1).Conclusion. This study for the first time showed a significant independent contribution of hs-CRP to CVEs development in the Russian population, and the addition of hs-CRP to sex and age significantly increased the predictive value of model.
Subject
Cardiology and Cardiovascular Medicine
Cited by
4 articles.
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