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Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus

Ignell, Claes (author)
Lund University,Lunds universitet,Genomik, diabetes och endokrinologi,Forskargrupper vid Lunds universitet,Genomics, Diabetes and Endocrinology,Lund University Research Groups,Helsingborg Hospital
Ekelund, Magnus (author)
Lund University,Lunds universitet,Institutionen för kliniska vetenskaper, Malmö,Medicinska fakulteten,Department of Clinical Sciences, Malmö,Faculty of Medicine,Helsingborg Hospital
Anderberg, Eva (author)
Lund University,Lunds universitet,Obstetrik och gynekologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Obstetrics and Gynaecology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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Berntorp, Kerstin (author)
Lund University,Lunds universitet,Genomik, diabetes och endokrinologi,Forskargrupper vid Lunds universitet,Genomics, Diabetes and Endocrinology,Lund University Research Groups,Skåne University Hospital
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 (creator_code:org_t)
2016-03-11
2016
English.
In: SpringerPlus. - : Springer Science and Business Media LLC. - 2193-1801. ; 5
  • Journal article (peer-reviewed)
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  • AIMS: To identify predictors of diabetes development up to 5 years after gestational diabetes mellitus (GDM) and to develop a prediction model for individual use.METHODS: Five years after GDM, a 75-g oral glucose tolerance test (OGTT) was performed in 362 women, excluding women already diagnosed with diabetes at 1- to 2-year follow-up or later (n = 45). All but 21 women had results from follow-up at 1-2 years, while 84 women were lost from that point. Predictive variables were identified by logistic regression analysis.RESULTS: Five years after GDM, 28/362 women (8 %) were diagnosed with diabetes whereas 187/362 (52 %) had normal glucose tolerance (NGT). Of the latter, 139/187 (74 %) also had NGT at 1- to 2-year follow-up. In simple regression analysis, using NGT at 1-2 years and at 5 years as the reference, diabetes at 1- to 2-year follow-up or later was clearly associated with easily assessable clinical variables, such as BMI at 1- to 2-year follow-up, 2-h OGTT glucose concentration during pregnancy, and non-European origin (P < 0.0001). A prediction model based on these variables resulting in 86 % correct classifications, with an area under the receiver-operating characteristic curve of 0.91 (95 % CI 0.86-0.95), was applied in a function-sheet line diagram illustrating the individual effect of weight on diabetes risk.CONCLUSIONS: The results highlight the importance of BMI as a potentially modifiable risk factor for diabetes after GDM. Our proposed prediction model performed well, and should encourage validation in other populations in future studies.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

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Ekelund, Magnus
Anderberg, Eva
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