論文

査読有り
2016年

Risk factors for postpartum glucose intolerance in women with gestational diabetes mellitus

GYNECOLOGICAL ENDOCRINOLOGY
  • Nobue Kojima
  • ,
  • Kenji Tanimura
  • ,
  • Masashi Deguchi
  • ,
  • Mayumi Morizane
  • ,
  • Yushi Hirota
  • ,
  • Wataru Ogawa
  • ,
  • Hideto Yamada

32
10
開始ページ
803
終了ページ
806
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1080/09513590.2016.1177009
出版者・発行元
TAYLOR & FRANCIS LTD

Objectives: To determine the risk factors for glucose intolerance (GI) during the postpartum period in women with gestational diabetes mellitus (GDM).
Methods: This prospective cohort study included 72 Japanese women with GDM who underwent 75 g oral glucose tolerance tests (OGTT) at 12 weeks after delivery. These women were divided into the GI group and the normal group based on postpartum OGTT. Risk factors for GI, including levels of blood glucose (BG), area under the curve (AUC) of glucose, AUC insulin, HbA1c, homeostasis model assessment-insulin resistance (HOMA-IR), HOMA-beta, insulinogenic index (II) and the oral disposition index (DI) in antepartum OGTT, were analyzed by logistic regression analyses.
Results: Of the 72 women, 60 (83.3%) were normal and 12 (16.7%) had GI. By univariate logistic regression analyses, fasting BG, AUC glucose, HOMA-beta, II and oral DI were selected as risk factors for GI. Multivariate logistic regression analysis revealed that the level of II in antepartum OGTT was a significant factor that predicted GI after delivery (odds ratio, 0.008; 95% CI, 0.0001-0.9; p < 0.05).
Conclusions: II measured by OGTT during pregnancy might be a useful predictor of GI within the early postpartum period in women with GDM.

リンク情報
DOI
https://doi.org/10.1080/09513590.2016.1177009
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/27113701
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000390157900006&DestApp=WOS_CPL
ID情報
  • DOI : 10.1080/09513590.2016.1177009
  • ISSN : 0951-3590
  • eISSN : 1473-0766
  • PubMed ID : 27113701
  • Web of Science ID : WOS:000390157900006

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