Evidence mapPaperPMID 41233894Full record

ArticleDiabetology & metabolic syndrome2025

Novel definition of time range and risk factors of pregnant women with gestational diabetes mellitus detected early in pregnancy a cluster analysis using clinical data of the German GestDiab cohort.

Isabel Sontag, Maik Kschischo, Matthias Kaltheuner, Luise Jander, Philipp Leubner, Heinke Adamczewski, Dietmar Weber, Annette Hasenburg, Henning E Adamek, GestDiab Group

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Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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10 authors.

Isabel SontagDepartment of Endocrinology and Diabetology, Med. Klinik 2, Klinikum Leverkusen, Academic Hospital of the University of Cologne, 51375, Leverkusen, Germany.
Maik KschischoDepartment of Computer Science, University of Koblenz, Koblenz, Germany.
Matthias KaltheunerwinDiab gGmbH, Scientific Institute of Resident Diabetologists, Neuss, Germany.
Luise JanderDepartment of Mathematics, Informatics and Technology, University of Applied Sciences Koblenz, Remagen, Germany.
Philipp LeubnerDepartment of Mathematics, Informatics and Technology, University of Applied Sciences Koblenz, Remagen, Germany.
Heinke AdamczewskiwinDiab gGmbH, Scientific Institute of Resident Diabetologists, Neuss, Germany.
Dietmar WeberwinDiab gGmbH, Scientific Institute of Resident Diabetologists, Neuss, Germany.
Annette HasenburgUniversity Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Henning E AdamekDepartment of Endocrinology and Diabetology, Med. Klinik 2, Klinikum Leverkusen, Academic Hospital of the University of Cologne, 51375, Leverkusen, Germany. adamekhe@uni-mainz.de.
GestDiab Group

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No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is the most common pregnancy complication worldwide, leading to a variety of short and longterm complications for both mother and child. International screening and diagnostic recommendations remain disputed and incoherent. A high proportion of women with GDM can be detected early in pregnancy. However, there is no consensus about diagnosis of GDM in early pregnancy. In this study, we aimed to detect a clear time frame for early GDM (eGDM). Based on these results, we compared the characteristics of early vs standard GDM.

methodsIn this secondary data analysis all data were sourced from diabetes specialist practices, from Germany and were collected between the years of 2018-2021.We applied k-means clustering to create two homogenous groups, identifying an early and a standard GDM cohort. Subsequently, we analyzed presented data regarding its association with early gestational diabetes (eGDM) and standard GDM (sGDM).Finally, a prediction model was developed using a set of nine variables. Odds ratios of each variable served as an independent indicator on the individual effect of each factor.

resultsOur dataset included 18,495 pregnancies complicated by gestational diabetes. The decision boundary through our k-means analysis was determined as 20.88 week of gestation. Both groups had a mean age of 33 years of age. Women with early gestational diabetes presented higher pre-pregnancy body weight (86.6 kg vs. 76.8 kg) and higher pre-pregnancy BMI (31.1 vs. 27.9 kg/m

conclusionsWe defined early gestational diabetes as gestational diabetes occurring before 21st week of gestation. Fasting plasma glucose with a threshold value of 98 mg/dl [5,4 mmol/l] could be an appropriate tool for screening.

trial registrationGestDiab is listed in the German Trial Registry ( https://registersuche.bqs.de/search.php ).

Indexed as

Cluster analysisData-driven ClusteringEarly gestational diabetes mellitusGestational diabetes mellitusMachine learning

Identifiers

PMID41233894
PMCPMC12616929

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