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Kerstin Berntorp

Kerstin Berntorp

Adjunct professor

Kerstin Berntorp

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


  • Claes Ignell
  • Magnus Ekelund
  • Eva Anderberg
  • Kerstin Berntorp

Summary, in English

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.


  • Genomics, Diabetes and Endocrinology
  • Department of Clinical Sciences, Malmö
  • Obstetrics and Gynaecology (Lund)

Publishing year








Document type

Journal article




  • Endocrinology and Diabetes



Research group

  • Genomics, Diabetes and Endocrinology


  • ISSN: 2193-1801