Cargando…
Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus
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 wi...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4788663/ https://www.ncbi.nlm.nih.gov/pubmed/27065426 http://dx.doi.org/10.1186/s40064-016-1953-7 |
_version_ | 1782420747397890048 |
---|---|
author | Ignell, Claes Ekelund, Magnus Anderberg, Eva Berntorp, Kerstin |
author_facet | Ignell, Claes Ekelund, Magnus Anderberg, Eva Berntorp, Kerstin |
author_sort | Ignell, Claes |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4788663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-47886632016-04-09 Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus Ignell, Claes Ekelund, Magnus Anderberg, Eva Berntorp, Kerstin Springerplus Research 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. Springer International Publishing 2016-03-11 /pmc/articles/PMC4788663/ /pubmed/27065426 http://dx.doi.org/10.1186/s40064-016-1953-7 Text en © Ignell et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Ignell, Claes Ekelund, Magnus Anderberg, Eva Berntorp, Kerstin Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus |
title | Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus |
title_full | Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus |
title_fullStr | Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus |
title_full_unstemmed | Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus |
title_short | Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus |
title_sort | model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4788663/ https://www.ncbi.nlm.nih.gov/pubmed/27065426 http://dx.doi.org/10.1186/s40064-016-1953-7 |
work_keys_str_mv | AT ignellclaes modelforindividualpredictionofdiabetesupto5yearsaftergestationaldiabetesmellitus AT ekelundmagnus modelforindividualpredictionofdiabetesupto5yearsaftergestationaldiabetesmellitus AT anderbergeva modelforindividualpredictionofdiabetesupto5yearsaftergestationaldiabetesmellitus AT berntorpkerstin modelforindividualpredictionofdiabetesupto5yearsaftergestationaldiabetesmellitus |