title: Inverse association of estimated cystatin C- and creatinine-based glomerular filtration rate with left ventricular mass: Results from the Study of Health in Pomerania.
abstract: BACKGROUND
  Left ventricular hypertrophy (LVH) is an independent predictor of cardiovascular disease in the general population and in patients with chronic kidney disease. The objective of this study was to investigate the association of estimated glomerular filtration rate (eGFR) with left ventricular mass index (LVMI), LVH and left ventricular geometry. A question of clinical relevance is whether estimated glomerular filtration rate based on cystatin C (eGFRcystatinC) is a better marker for cardiovascular risk than estimated glomerular filtration rate based on creatinine (eGFRcreatinine).
  
  
  METHODS
  The study sample included 2830 individuals from the population-based Study of Health in Pomerania (SHIP). LVH was defined as echocardiographic LVMI >48 g/m(2.7) in men and >44 g/m(2.7) in women. Kidney function, as assessed by eGFR, was determined from established equations: the creatinine-based Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation and a cystatin-based multivariable equation.
  
  
  RESULTS
  We found an inverse association between eGFR and LVMI. This association was stronger in models with eGFRcystatinC than in models with eGFRcreatinine. Subjects with moderately-to-severely decreased kidney function (defined as eGFR 15-<60 mL/min per 1.73 m(2)) had higher odds for abnormal geometric patterns of the left ventricle than subjects with normal eGFR when eGFRcystatinC was used.
  
  
  CONCLUSIONS
  The findings suggest that eGFRcystatinC is superior to eGFRcreatinine for assessing the risk of cardiovascular disease.
authors.affiliation: Institute for Community Medicine, Ernst-Moritz-Arndt-University Greifswald, Walther-Rathenau-Str 48, 17487 Greifswald, Germany. nicole.aumann@uni-greifswald.de
authors.forename: Nicole
authors.initials: N
authors.lastname: Aumann
authors.forename: Sebastian E
authors.initials: SE
authors.lastname: Baumeister
authors.forename: André
authors.initials: A
authors.lastname: Werner
authors.forename: Henri
authors.initials: H
authors.lastname: Wallaschofski
authors.forename: Anke
authors.initials: A
authors.lastname: Hannemann
authors.forename: Matthias
authors.initials: M
authors.lastname: Nauck
authors.forename: Rainer
authors.initials: R
authors.lastname: Rettig
authors.forename: Stephan B
authors.initials: SB
authors.lastname: Felix
authors.forename: Marcus
authors.initials: M
authors.lastname: Dörr
authors.forename: Henry
authors.initials: H
authors.lastname: Völzke
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Lieb
authors.forename: Sylvia
authors.initials: S
authors.lastname: Stracke
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D003404:Creatinine / Q000097:blood*; D003430:Cross-Sectional Studies / Q000379:methods; D055316:Cystatin C / Q000097:blood*; D005260:Female; D005500:Follow-Up Studies; D005858:Germany / Q000453:epidemiology; D005919:Glomerular Filtration Rate / Q000502:physiology*; D006304:Health Status; D006801:Humans; D017379:Hypertrophy, Left Ventricular / Q000097:blood* / Q000175:diagnosis / Q000453:epidemiology*; D008297:Male; D008875:Middle Aged; D011159:Population Surveillance / Q000379:methods*; D055815:Young Adult
chemical_list: D015415:Biomarkers; D055316:Cystatin C; D003404:Creatinine