title: Estimated glomerular filtration rate, all-cause mortality and cardiovascular diseases incidence in a low risk population: the MATISS study.
abstract: BACKGROUND
  Chronic kidney disease (CKD) independently increases the risk of death and cardiovascular disease (CVD) in the general population. However, the relationship between estimated glomerular filtration rate (eGFR) and CVD/death risk in a general population at low risk of CVD has not been explored so far.
  
  
  METHODS
  Baseline and longitudinal data of 1465 men and 1459 women aged 35-74 years participating to the MATISS study, an Italian general population cohort, were used to evaluate the role of eGFR in the prediction of all-cause mortality and incident CVD.
  
  
  METHODS
  Bio-bank stored sera were used to evaluate eGFR at baseline. Serum creatinine was measured on thawed samples by means of an IDMS-calibrated enzymatic method. eGFR was calculated by the CKD-EPI formula.
  
  
  RESULTS
  At baseline, less than 2% of enrolled persons had eGFR < 60 mL/min/1.73 m(2) and more than 70% had a 10-year cardiovascular risk score < 10%. In people 60 or more years old, the first and the last eGFR quintiles (<90 and ≥109 mL/min/1.73 m(2), respectively) were associated to an increased risk for both all-cause mortality (hazard ratio 1.6, 95% confidence interval 1.2-2.1 and 4.3, 1.6-11.7, respectively) and incident CVD (1.6, 1.0-2.4 and 7.0, 2.2-22.9, respectively), even if adjusted for classical risk factors.
  
  
  CONCLUSIONS
  These findings strongly suggest that in an elderly, general population at low risk of CVD and low prevalence of reduced renal filtration, even a modest eGFR reduction is related to all-cause mortality and CVD incidence, underlying the potential benefit to this population of considering eGFR for their risk prediction.
authors.affiliation: National Centre of Epidemiology, Surveillance and Health Promotion, Istituto Superiore di Sanità, Rome, Italy.
authors.forename: Chiara
authors.initials: C
authors.lastname: Donfrancesco
authors.forename: Simonetta
authors.initials: S
authors.lastname: Palleschi
authors.forename: Luigi
authors.initials: L
authors.lastname: Palmieri
authors.forename: Barbara
authors.initials: B
authors.lastname: Rossi
authors.forename: Cinzia
authors.initials: C
authors.lastname: Lo Noce
authors.forename: Fabio
authors.initials: F
authors.lastname: Pannozzo
authors.forename: Belinda
authors.initials: B
authors.lastname: Spoto
authors.forename: Giovanni
authors.initials: G
authors.lastname: Tripepi
authors.forename: Carmine
authors.initials: C
authors.lastname: Zoccali
authors.forename: Simona
authors.initials: S
authors.lastname: Giampaoli
mesh_terms: D000328:Adult; D000368:Aged; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000401:mortality* / Q000503:physiopathology*; D005260:Female; D005919:Glomerular Filtration Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D016016:Proportional Hazards Models