Risks of diabetic nephropathy with variation in hemoglobin A1c and fasting plasma glucose.
Am J Med. 2013 Nov; 126(11):1017.e1-10.AJ

Abstract

BACKGROUND

This study examined whether annual variation in glycosylated hemoglobin A1c (HbA1c) and fasting plasma glucose (FPG), as represented by the coefficient of variation (CV), can predict diabetic nephropathy independently of mean FPG, mean HbA1c, and other risk factors in patients with type 2 diabetes.

METHODS

A computerized database of patients with type 2 diabetes aged ≥30 years and free of diabetic nephropathy (n = 3220) who were enrolled in the Diabetes Care Management Program of China Medical University Hospital before 2007 was used in a time-dependent Cox proportional hazards regression model.

RESULTS

The incidence rates of diabetic nephropathy were 16.11, 22.95, and 28.86 per 1000 person-years in the first, second, and third tertiles of baseline HbA1c-CV, respectively; the corresponding incidence rates for FPG-CV were 9.46, 21.23, and 37.51 per 1000 person-years, respectively. After multivariate adjustment, the corresponding hazard ratios for the second and third tertiles versus the first tertile of annual HbA1c-CV were 1.18 (95% confidence interval [CI], 0.88-1.58) and 1.58 (95% CI, 1.19-2.11), respectively, and 1.55 (95% CI, 0.99-2.41) and 4.75 (95% CI, 3.22-7.01) for FPG-CV, respectively. The risks of diabetic nephropathy for HbA1c-CV and FPG-CV stratified according to age, gender, renal function, and hypertension status were provided.

CONCLUSIONS

Annual FPG and HbA1c variations have a strong association with diabetic nephropathy in patients with type 2 diabetes. Whether intervention for reducing glucose variation should be administered needs to be examined in a future study.

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Authors+Show Affiliations

Lin CC
Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan; School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan; Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Chen CC
No affiliation info available
Chen FN
No affiliation info available
Li CI
No affiliation info available
Liu CS
No affiliation info available
Lin WY
No affiliation info available
Yang SY
No affiliation info available
Lee CC
No affiliation info available
Li TC
No affiliation info available

MeSH

AdultAgedAged, 80 and overBiomarkersBlood GlucoseDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleFollow-Up StudiesGlycated Hemoglobin AHumansIncidenceKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisPrognosisProportional Hazards ModelsRisk Factors

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

23993260