Litcius/Paper detail

Association between C reactive protein and all-cause mortality in the ELSA-Brasil cohort

Chams Bicalho Maluf, Sandhi Maria Barreto, Luana Giatti, Antônio Luiz Pinho Ribeiro, Pedro Guatimosim Vidigal, Douglas R. M. Azevedo, Rosane Härter Griep, Sheila Maria Alvim Matos, Chen Ji, Francesco P. Cappuccio, Michelle A. Miller

2020Journal of Epidemiology & Community Health39 citationsDOIOpen Access PDF

Abstract

BACKGROUND: High-sensitivity C reactive protein (hsCRP) has been proposed as a marker of incident cardiovascular disease and vascular mortality, and may also be a marker of non-vascular mortality. However, most evidence comes from either North American or European cohorts. The present proposal aims to investigate the association of hsCRP with the risk of all-cause mortality in a multiethnic Brazilian population. METHODS: Baseline data (2008-2010) of a cohort of 14 238 subjects participating in the Brazilian Longitudinal Study of Adult Health were used. hsCRP was assayed with immunochemistry. The association of baseline covariates with all-cause mortality was calculated by Cox regression for univariate model and adjusted for different confounders after a mean follow-up of 8.0±1.1 years. The final model was adjusted for age, sex, self-rated race/ethnicity, schooling, health behaviours and prevalent chronic disease. RESULTS: The risk of death increased steadily by quartiles of hsCRP, from 1.45 (95% CI 1.05 to 2.01) in quartile 2 to 1.95 (95% CI 1.42 to 2.69) in quartile 4, compared with quartile 1. Furthermore, the persistence of a significant graded association after the exclusion of deaths in the first year of follow-up suggests that these results are unlikely to be due to reverse causality. Finally, the HR was unaffected by the exclusion of participants who had self-reported medical history of diabetes, cancer and chronic obstructive pulmonary disease. CONCLUSIONS: Our study shows that hsCRP level is associated with mortality in a highly admixed population, independent of a large set of lifestyle and clinical variables.

Topics & Concepts

MedicineQuartileConfoundingInternal medicineCohortPopulationProportional hazards modelDemographyEpidemiologyCohort studyConfidence intervalEnvironmental healthSociologyAdipokines, Inflammation, and Metabolic DiseasesInflammatory Biomarkers in Disease PrognosisCardiac Health and Mental Health