4.4 Article

Chronic inflammatory diseases, subclinical atherosclerosis, and cardiovascular diseases: Design, objectives, and baseline characteristics of a prospective case-cohort study-ELSA-Brasil

Journal

CLINICS
Volume 77, Issue -, Pages -

Publisher

ELSEVIER ESPANA
DOI: 10.1016/j.clinsp.2022.100013

Keywords

Cardiovascular disease; Coronary artery calcium (CAC); Carotid intima-media thickness (CIMT); Fatal and non-fatal cardiovascular events

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This study aims to compare the incidence of subclinical atherosclerosis and cardiovascular disease (CVD) in Chronic Inflammatory Disease (CID) participants and non-diseased individuals. Using a case-cohort design and testing specific biomarkers for CID, subclinical atherosclerosis, and CVD morbimortality, the study found differences between the high-risk group and the comparison group in terms of age, gender, income, anthropometric measures, and related diseases and inflammation markers levels.
Objectives: This analysis describes the protocol of a study with a case-cohort to design to prospectively evaluate the incidence of subclinical atherosclerosis and Cardiovascular Disease (CVD) in Chronic Inflammatory Disease (CID) participants compared to non-diseased ones. Methods: A high-risk group for CID was defined based on data collected in all visits on self-reported medical diagnosis, use of medicines, and levels of high-sensitivity C-Reactive Protein >10 mg/L. The comparison group is the Aleatory Cohort Sample (ACS): a group with 10% of participants selected at baseline who represent the entire cohort. In both groups, specific biomarkers for DIC, markers of subclinical atherosclerosis, and CVD morbimortality will be tested using weighted Cox. Results: The high-risk group (n = 2,949; aged 53.6 +/- 9.2; 65.5% women) and the ACS (n=1543; 52.2 +/- 8.8; 54.1% women) were identified. Beyond being older and mostly women, participants in the high-risk group present low average income (29.1% vs. 24.8%, p < 0.0001), higher BMI (Kg/m2) (28.1 vs. 26.9, p < 0.0001), higher waist circumference (cm) (93.3 vs. 91, p < 0.0001), higher frequencies of hypertension (40.2% vs. 34.5%, p < 0.0001), diabetes (20.7% vs. 17%, p = 0.003) depression (5.8% vs. 3.9%, p = 0.007) and higher levels of GlycA a new inflammatory marker (p < 0.0001) compared to the ACS. Conclusions: The high-risk group selected mostly women, older, lower-income/education, higher BMI, waist circumference, and of hypertension, diabetes, depression, and higher levels of GlycA when compared to the ACS. The strategy chosen to define the high-risk group seems adequate given that multiple sociodemographic and clinical characteristics are compatible with CID.

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