title: Cardiovascular risk prediction in people with chronic kidney disease.
abstract: Clinical guidelines are not consistent regarding whether or how to utilize information on measures of chronic kidney disease (CKD) for predicting the risk of cardiovascular disease (CVD). This review summarizes recent literature regarding CVD prediction in the context of CKD.
  
  
  
  Previous studies used different definitions of CKD measures and CVD outcomes, and applied distinct statistical approaches. A recent individual-level meta-analysis from the CKD Prognosis Consortium is of value as it has uniformly investigated creatinine-based estimated glomerular filtration rate (eGFR) and albuminuria as CKD measures and applied the same statistical approach across 24 cohorts with more than 630 000 participants. In this meta-analysis, eGFR and albuminuria improve CVD risk prediction beyond traditional CVD risk factors, particularly for CVD mortality and heart failure. Albuminuria demonstrates more evident improvement than eGFR. Moreover, several recent studies have shown that other filtration markers, for example, cystatin C and β2-microglobulin, and measures of atherosclerosis or cardiac damage (e.g., coronary artery calcium and cardiac troponins) can further improve CVD prediction in the CKD population.
  
  
  
  Future clinical guidelines may require updates regarding whether/how to incorporate CKD measures and other biomarkers in CVD prediction, depending on the CVD outcomes of interest, target population, and availability of those measures/biomarkers in that population.
authors: aDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health bWelch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland, USA.
authors: Kunihiro
authors: K
authors: Matsushita
authors: Shoshana H
authors: SH
authors: Ballew
authors: Josef
authors: J
authors: Coresh
mesh_terms: D000419:Albuminuria / Q000453:epidemiology*; D015415:Biomarkers / Q000097:blood / Q000652:urine; D002318:Cardiovascular Diseases / Q000453:epidemiology* / Q000401:mortality; D055316:Cystatin C / Q000097:blood; D005919:Glomerular Filtration Rate; D006333:Heart Failure / Q000453:epidemiology; D006801:Humans; D011379:Prognosis; D051436:Renal Insufficiency, Chronic / Q000453:epidemiology* / Q000503:physiopathology*; D012307:Risk Factors
chemical_list: D015415:Biomarkers; D055316:Cystatin C