Unknown

Dataset Information

0

Selective Screening Strategies for Gestational Diabetes: A Prospective Cohort Observational Study.


ABSTRACT: Aim:We aimed to develop a prediction model for the diagnosis of gestational diabetes and to evaluate the performance of published prediction tools on our population. Methods:We conducted a cohort study on nondiabetic women??10%, 25.6% of cases were detected without the HbA1c, and 25.8% of cases would have been detected with the HbA1c). The 9 published scoring systems performed poorly. Conclusion:We propose a nomogram-based score that can be used at first antenatal visit to identify women at high risk of GDM.

SUBMITTER: Adam S 

PROVIDER: S-EPMC5671730 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

altmetric image

Publications

Selective Screening Strategies for Gestational Diabetes: A Prospective Cohort Observational Study.

Adam Sumaiya S   Rheeder Paul P  

Journal of diabetes research 20171022


<h4>Aim</h4>We aimed to develop a prediction model for the diagnosis of gestational diabetes and to evaluate the performance of published prediction tools on our population.<h4>Methods</h4>We conducted a cohort study on nondiabetic women < 26 weeks gestation at a level 1 clinic in Johannesburg, South Africa. At recruitment, participants completed a questionnaire and random basal glucose and HbA1c were evaluated. A 75 g 2-hour OGTT was scheduled between 24-28 weeks gestation, as per FIGO guidelin  ...[more]

Similar Datasets

| S-EPMC7073549 | biostudies-literature
| S-EPMC7891327 | biostudies-literature
| S-EPMC9292450 | biostudies-literature
| S-EPMC4227277 | biostudies-literature
| S-EPMC3467630 | biostudies-literature
| S-EPMC4021782 | biostudies-other
| S-EPMC6472025 | biostudies-literature
| PRJEB53187 | ENA
| S-EPMC10483803 | biostudies-literature
| S-EPMC5115165 | biostudies-literature