Clinical Pathology, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
Preventive Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
J Epidemiol Community Health. 2020 May;74(5):421-427. doi: 10.1136/jech-2019-213289. Epub 2020 Feb 26.
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.
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.
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.
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.
高敏 C 反应蛋白(hsCRP)已被提出作为心血管疾病和血管死亡率的标志物,也可能是非血管死亡率的标志物。然而,大多数证据来自北美或欧洲队列。本研究旨在调查 hsCRP 与多民族巴西人群全因死亡率的相关性。
使用参加巴西成人健康纵向研究队列的 14238 名受试者的基线数据(2008-2010 年)。采用免疫化学法测定 hsCRP。使用 Cox 回归对单变量模型进行分析,根据基线协变量与全因死亡率的相关性进行校正,平均随访 8.0±1.1 年后进行调整。最终模型根据年龄、性别、自我报告的种族/民族、受教育程度、健康行为和现患慢性病进行调整。
hsCRP 四分位组的死亡风险呈稳步上升趋势,从第 2 四分位组的 1.45(95%CI 1.05 至 2.01)到第 4 四分位组的 1.95(95%CI 1.42 至 2.69)。此外,在排除随访第一年的死亡病例后,仍存在显著的分级关联,表明这些结果不太可能是由于反向因果关系所致。最后,排除有自我报告糖尿病、癌症和慢性阻塞性肺疾病病史的参与者后,HR 不受影响。
我们的研究表明,hsCRP 水平与高度混合人群的死亡率相关,独立于一系列生活方式和临床变量。