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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004054naa a2200337 4500
001oai:lup.lub.lu.se:468f7330-92d7-4b10-b087-ee7ba7ac57fe
003SwePub
008160504s2016 | |||||||||||000 ||eng|
024a https://lup.lub.lu.se/record/468f7330-92d7-4b10-b087-ee7ba7ac57fe2 URI
024a https://doi.org/10.1186/s40064-016-1953-72 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
100a Ignell, Claesu Lund University,Lunds universitet,Genomik, diabetes och endokrinologi,Forskargrupper vid Lunds universitet,Genomics, Diabetes and Endocrinology,Lund University Research Groups,Helsingborg Hospital4 aut0 (Swepub:lu)med-cai
2451 0a Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus
264 c 2016-03-11
264 1b Springer Science and Business Media LLC,c 2016
520 a 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.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Endokrinologi och diabetes0 (SwePub)302052 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Endocrinology and Diabetes0 (SwePub)302052 hsv//eng
700a Ekelund, Magnusu Lund University,Lunds universitet,Institutionen för kliniska vetenskaper, Malmö,Medicinska fakulteten,Department of Clinical Sciences, Malmö,Faculty of Medicine,Helsingborg Hospital4 aut0 (Swepub:lu)med-meu
700a Anderberg, Evau 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 Medicine4 aut0 (Swepub:lu)gyn-ean
700a Berntorp, Kerstinu Lund University,Lunds universitet,Genomik, diabetes och endokrinologi,Forskargrupper vid Lunds universitet,Genomics, Diabetes and Endocrinology,Lund University Research Groups,Skåne University Hospital4 aut0 (Swepub:lu)endo-kbe
710a Genomik, diabetes och endokrinologib Forskargrupper vid Lunds universitet4 org
773t SpringerPlusd : Springer Science and Business Media LLCg 5q 5x 2193-1801
856u http://dx.doi.org/10.1186/s40064-016-1953-7x freey FULLTEXT
856u https://springerplus.springeropen.com/track/pdf/10.1186/s40064-016-1953-7
8564 8u https://lup.lub.lu.se/record/468f7330-92d7-4b10-b087-ee7ba7ac57fe
8564 8u https://doi.org/10.1186/s40064-016-1953-7

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Ignell, Claes
Ekelund, Magnus
Anderberg, Eva
Berntorp, Kersti ...
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