Literature DB >> 23413821

Biological variation of cardiovascular risk factors in patients with diabetes.

A J Dawson1, T Sathyapalan, S L Atkin, E S Kilpatrick.   

Abstract

Biological variation refers to the natural fluctuations found when repeated measurements are made in a biological system. Generally, biological variation remains within narrow boundaries in health, but may differ in pathological states, with implications for the diagnosis and monitoring of disease processes. In disease, biological variation may alter such that any subsequent measurement may need to have a greater difference compared with a healthy control to be biologically relevant. Treatments such as insulin or anti-hypertensive therapy have been shown to reduce biological variability closer to normal levels and theoretically this may help prevent complication development or progression in conditions such as diabetes. This article reviews how biological variation can influence our identification and assessment of vascular risk factors in a person with diabetes. The role of biological variation in the diagnosis of diabetes (glucose and HbA1c) is then examined. Finally, the influence that common treatments in diabetes have in modifying biological variation is described.
© 2013 The Authors. Diabetic Medicine © 2013 Diabetes UK.

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Year:  2013        PMID: 23413821     DOI: 10.1111/dme.12160

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  2 in total

1.  HbA1c variability as an independent risk factor for diabetic retinopathy in type 1 diabetes: a German/Austrian multicenter analysis on 35,891 patients.

Authors:  Julia M Hermann; Hans-Peter Hammes; Birgit Rami-Merhar; Joachim Rosenbauer; Morten Schütt; Erhard Siegel; Reinhard W Holl
Journal:  PLoS One       Date:  2014-03-07       Impact factor: 3.240

2.  Evaluation of biological variation of glycated hemoglobin and glycated albumin in healthy Chinese subjects.

Authors:  Libo Liang; He He; Yuping Zeng; Mei Zhang; Xia Wang; Xiaoling Li; Shanshan Liang; Zhenmei An; Hengjian Huang
Journal:  J Clin Lab Anal       Date:  2018-11-21       Impact factor: 2.352

  2 in total

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