title: Glycosylated hemoglobin and mortality in patients with nondiabetic chronic kidney disease.
abstract: In the general population, hyperglycemia in the absence of diabetes may be associated with increased risk for mortality. Hyperglycemia is prevalent in chronic kidney disease; however, the relationship between glycosylated hemoglobin (HbA(1c)) as a marker of chronic hyperglycemia and outcomes has not been studied in nondiabetic chronic kidney disease. HbA(1c) was measured at baseline in the randomized cohort of the Modification of Diet in Renal Disease Study (n = 840). Participants with diabetes (n = 43), fasting glucose levels >126 mg/dl (n = 20), or missing HbA(1c) levels (n = 9) were excluded. Survival status until December 2000 was obtained from the National Death Index. Death was classified as cardiovascular (CVD) when the primary cause was International Classification of Disease, Ninth Revision codes 390 to 459. Cox models were performed to assess the relationship of HbA(1c) with all-cause and CVD mortality. Mean (SD) age was 52 (12) years, and mean (SD) GFR was 32 (12) ml/min per 1.73 m(2). Eighty-six percent of participants were white, and 61% were male. Mean (SD) HbA(1c) was 5.6% (0.5). A total of 169 (22%) patients died, 96 (13%) from CVD. After adjustment for randomization assignments and demographic, CVD, and kidney disease factors, HbA(1c) was a predictor of all-cause mortality (hazard ratio per 1% increase 1.73; 95% confidence interval 1.24 to 2.41; P = 0.001). There was a trend toward statistical significance in the relationship between HbA(1c) and CVD mortality (hazard ratio per 1% increase 1.53; 95% confidence interval 0.96 to 2.43; P = 0.07). HbA(1c) is associated with increased mortality in nondiabetic kidney disease. Hyperglycemia may be a potential therapeutic target and HbA(1c) may be important as a risk stratification tool in this high-risk population.
authors.affiliation: Department of Medicine, Division of Nephrology, Tufts-New England Medical Center, Boston, Massachusetts, USA.
authors.forename: Vandana
authors.initials: V
authors.lastname: Menon
authors.forename: Tom
authors.initials: T
authors.lastname: Greene
authors.forename: Arema A
authors.initials: AA
authors.lastname: Pereira
authors.forename: Xuelei
authors.initials: X
authors.lastname: Wang
authors.forename: Gerald J
authors.initials: GJ
authors.lastname: Beck
authors.forename: John W
authors.initials: JW
authors.lastname: Kusek
authors.forename: Allan J
authors.initials: AJ
authors.lastname: Collins
authors.forename: Andrew S
authors.initials: AS
authors.lastname: Levey
authors.forename: Mark J
authors.initials: MJ
authors.lastname: Sarnak
mesh_terms: D000328:Adult; D000419:Albuminuria; D001794:Blood Pressure; D002908:Chronic Disease; D003404:Creatinine / Q000097:blood; D005260:Female; D005919:Glomerular Filtration Rate; D006442:Glycated Hemoglobin / Q000378:metabolism*; D006400:Hematocrit; D006801:Humans; D006943:Hyperglycemia / Q000401:mortality; D007674:Kidney Diseases / Q000097:blood / Q000178:diet therapy / Q000401:mortality*; D008297:Male; D008875:Middle Aged; D011507:Proteinuria; D012307:Risk Factors; D016019:Survival Analysis
chemical_list: D003404:Creatinine; D006442:Glycated Hemoglobin