Abnormal glucose tolerance in Chinese women with polycystic ovary syndrome

103Citations
Citations of this article
39Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: The aims of this study were to analyse the prevalence of impaired glucose tolerance (IGT) and diabetes mellitus (NIDDM) in Chinese polycystic ovary syndrome (PCOS) patients and to assess the ability of screening tests to predict these abnormalities within this population. Methods: A total of 102 PCOS patients were evaluated. All patients underwent oral glucose tolerance tests (OGTTs) with blood samples taken at 0, 1 and 2 h. The 2-h plasma glucose level was used to categorize subjects as having IGT or NIDDM. Results: The prevalence of IGT was 20.5% and that of NIDDM was 1.9%. There was no significant relationship between BMI and 2-h plasma glucose levels. The areas under the receiver operating characteristic (ROC) curve for glucose to insulin ratio (G : I), homeostasis model assessment (HOMA) and quantitative insulin sensitivity check index (QUICKI) were 0.702, 0.734 and 0.733 respectively. ROC analysis suggested a threshold value of 10.7 in G : I ratio (73.9% sensitivity and 59.5% specificity), a value of 2.14 in HOMA (73.9% sensitivity and 73.4% specificity) and a value of 0.34 in QUICKI (73.9% sensitivity and 73.4% specificity) for the prediction of abnormal glucose tolerance (IGT and NIDDM). Conclusions: Chinese women with PCOS are at increased risk of IGT and NIDDM. Even though G : I, HOMA and QUICKI are easier than OGTT, they could not replace the role of 2-h post-challenge plasma glucose level in the screening of IGT and NIDDM in PCOS women. © 2006 Oxford University Press.

Cite

CITATION STYLE

APA

Chen, X., Yang, D., Li, L., Feng, S., & Wang, L. (2006). Abnormal glucose tolerance in Chinese women with polycystic ovary syndrome. Human Reproduction, 21(8), 2027–2032. https://doi.org/10.1093/humrep/del142

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free