Risk of developing gestational diabetes
This prediction model calculates the risk of a pregnant woman developing gestational diabetes. The prediction model is applicable in the first trimester of pregnancy.

Background information
The prediction model was developed and validated in Australia by Teede et al (see 'study' and 'references'). Subsequently, the model was externally validated by Lamain et al. (see references) in a prospective Dutch cohort. Currently, the implementation of the prediction model is being evaluated as part of the RESPECT 2 study. For the RESPECT 2 study, the prediction has been updated with a random glucose and a refitted version is used based on the Dutch cohort. The cut-off value is adjusted in such a way that the number of high risk pregnant women is equal to the number of pregnant women that qualify for an oral glucose tolerance test according to the Dutch society of obstetrics and gynaecology (NVOG) criteria. The expectation is that more pregnant women with gestational diabetes will be detected. The inclusion period of the RESPECT 2 study has been closed. The results of the RESPECT 2 study are expected by the end of 2019.
Research authors: Helena J. Teede, Cheryce L. Harrison, Wan T. Teh, Eldho Paul, Carolyn A. Allan, Marije Lamain - de Ruiter, Anneke Kwee, Christiana A. Naaktgeboren, Inge de Groot, Inge M. Evers, Floris Groenendaal, Yolanda R. Hering, Anjoke J.M. Huisjes, Cornel Kirpestein, Wilma M. Monincx, Jacqueline E. Siljee, Annewil Van ’t Zelfde, Charlotte M. van Oirschot, Simone A. Vankan-Buitelaar, Mariska A.A.W. Vonk, Therese A. Wiegers, Joost J. Zwart, Arie Franx, Karel G.M. Moons, Maria P.H. Koster
Version: 1.43
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The risk for gestational diabetes is: %

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Conditional information

In the original development, the model achieved a c-index of 0,703 on internal validation. This means that a random patient with diabetes gravidarum has a 70.3% chance of getting a higher score than a random patient without diabetes gravidarum. On external validation, a higher c-index of 0.77 was demonstrated.

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This model is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.

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