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Association between chronic kidney disease and cardiovascular events in middle-to-old-aged Chinese population / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 841-844, 2010.
Article in Zh | WPRIM | ID: wpr-341000
Responsible library: WPRO
ABSTRACT
Objective This study aimed to determine the relationships between estimated glomerular filtration rate (eGFR) and cardiovascular events. Methods 2500 residents aged more than 40 years old were selected from Shougang community, Shijingshan district, in Beijing. 2315 of them took part in the survey. First morning urinary sample was collected for all the participants.Albumin and creatinine were measured and eGFR was calculated using simplified MDAD formula.Cardiovascular risk factors were also investigated. The participants were followed up for 4 years, and all-cause mortality and cardiovascular events were collected. The subjects were divided into three groups according to eGFR[ml/(min·1.73 m2)]: <60, 60-90,>90.Cox regression model was used to analyze the relationships between eGFR, all events, and cardiovascular events after adjusting for confounders. Results The prevalence of eGFR <60 was 3.3%. The incidence rates of cardiovascular events were 43.9, 21.8 and 11.5/1000 person-years among three groups, and the incidence rates of all events (all-cause mortality and cardiovascular events) were 53.7, 28.8 and 14.6/1000 person-years,respectively. After adjusting for age, gender, smoking, body mass index, serum lipids, diabetes mellitus, cardiovascular disease, the hazard risk (HR) for cardiovascular events was 1.29 (95%CI:0.85-1.96) in eGFR<60 group and 2.14 (95% CI: 1.02-4.50) in 60≤eGFR<90 group, when compared with the eGFR>90 group; the HR for all events were 1.25 (95%CI: 0.86-1.81 ) and 1.95(95% CI: 1.00-3.80) , respectively. Conclusion In the population studied, eGFR<60 seemed an independent predictor for cardiovascular events and all-cause events.
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Full text: 1 Database: WPRIM Type of study: Prognostic_studies / Risk_factors_studies Language: Zh Journal: Chinese Journal of Epidemiology Year: 2010 Document type: Article
Full text: 1 Database: WPRIM Type of study: Prognostic_studies / Risk_factors_studies Language: Zh Journal: Chinese Journal of Epidemiology Year: 2010 Document type: Article