Literature DB >> 28432895

Predictive ability of visit-to-visit variability in HbA1c and systolic blood pressure for the development of microalbuminuria and retinopathy in people with type 2 diabetes.

Toshiko Takao1, Machi Suka2, Hiroyuki Yanagisawa2, Yutaka Matsuyama3, Yasuhiko Iwamoto4.   

Abstract

AIMS: We explored whether visit-to-visit variability in both glycated hemoglobin (HbA1c) and systolic blood pressure (SBP) simultaneously predicted the development of microalbuminuria and retinopathy, and whether the predictive ability of these measurements changed according to mean HbA1c and SBP levels in people with type 2 diabetes.
METHODS: A retrospective observational cohort study was conducted on 243 type 2 diabetes patients with normoalbuminuria and 486 without retinopathy at the first visit and within 1year thereafter. The two cohorts were followed up from 1995 until 2012. Multivariate and stratified analyses were performed using Cox proportional hazard models.
RESULTS: Microalbuminuria developed in 84 patients and retinopathy in 108. Hazard ratios (HRs) for the development of microalbuminuria associated with the coefficient of variation (CV) and variation independent of mean (VIM) of both HbA1c and SBP significantly increased. In participants with a mean SBP <130mmHg, the HRs for the development of retinopathy associated with CV and VIM of HbA1c were abruptly elevated and significant compared with those with a mean SBP ≥130mmHg.
CONCLUSIONS: Visit-to-visit variability in both HbA1c and SBP simultaneously predict the development of microalbuminuria. HbA1c variability may predict the development of retinopathy when the mean SBP is normal (<130mmHg).
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  HbA1c; Microalbuminuria; Retinopathy; Systolic blood pressure; Type 2 diabetes; Visit-to-visit variability

Mesh:

Substances:

Year:  2017        PMID: 28432895     DOI: 10.1016/j.diabres.2017.03.027

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


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