title: [Association between chronic kidney disease and cardiovascular events in middle-to-old-aged Chinese population].
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 m(2))]: < 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.
  
  
  CONCLUSIONS
  In the population studied, eGFR < 60 seemed an independent predictor for cardiovascular events and all-cause events.
authors.affiliation: The National Center of Cardiovascular Disease and Fu Wai Hospital, CAMS and PUMC, Beijing 100037, China.
authors.forename: Zeng-Wu
authors.initials: ZW
authors.lastname: Wang
authors.forename: Zuo
authors.initials: Z
authors.lastname: Chen
authors.forename: Fang
authors.initials: F
authors.lastname: Wang
authors.forename: Run-Ping
authors.initials: RP
authors.lastname: Zheng
authors.forename: Man-Lu
authors.initials: ML
authors.lastname: Zhu
authors.forename: Shu-Yu
authors.initials: SY
authors.lastname: Wang
authors.forename: Yi-Xin
authors.initials: YX
authors.lastname: Wang
authors.forename: Ju-Ming
authors.initials: JM
authors.lastname: Lu
authors.forename: Hai-Yan
authors.initials: HY
authors.lastname: Wang
authors.forename: Li-Sheng
authors.initials: LS
authors.lastname: Liu
mesh_terms: D002318:Cardiovascular Diseases / Q000453:epidemiology; D003404:Creatinine; D005919:Glomerular Filtration Rate; D006801:Humans; D051436:Renal Insufficiency, Chronic; D012307:Risk Factors
chemical_list: D003404:Creatinine