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dc.contributor.author | Adam, Sumaiya![]() |
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dc.contributor.author | Rheeder, Paul![]() |
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dc.date.accessioned | 2017-11-24T07:57:52Z | |
dc.date.available | 2017-11-24T07:57:52Z | |
dc.date.issued | 2017-10-22 | |
dc.description.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 < 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 guidelines. A score was derived using multivariate logistic regression. Published scoring systems were tested by deriving ROC curves. RESULTS. In 554 women, RBG, BMI, and previous baby ≥ 4000 g were significant risk factors included for GDM, which were used to derive a nomogram-based score. The logistic regression model for prediction of GDM had R2 0.143, Somer’s Dxy rank correlation 0.407, and Harrell’s c-score 0.703. HbA1c did not improve predictive value of the nomogram at any threshold (e.g,. at probability > 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. | en_ZA |
dc.description.department | Internal Medicine | en_ZA |
dc.description.department | Obstetrics and Gynaecology | en_ZA |
dc.description.librarian | am2017 | en_ZA |
dc.description.sponsorship | This study was partly supported by funding from the Society for Endocrinology, Metabolism and Diabetes of South Africa (SEMDSA), the South African Sugar Association (SASA), and Roche. The SASA and SEMDSA grants were awarded following peer review for scientific quality and priority assessment. | en_ZA |
dc.description.uri | https://www.hindawi.com/journals/jdr | en_ZA |
dc.identifier.citation | Adam, S & Rheeder, P 2017, 'Selective screening strategies for gestational diabetes : a prospective cohort observational study', Journal of Diabetes Research, vol. 2017, no. 284346, pp. 1-9. | en_ZA |
dc.identifier.issn | 2314-6745 (print) | |
dc.identifier.issn | 2314-6753 (online) | |
dc.identifier.other | 10.1155/2017/2849346 | |
dc.identifier.uri | http://hdl.handle.net/2263/63336 | |
dc.language.iso | en | en_ZA |
dc.publisher | Hindawi Publishing | en_ZA |
dc.rights | © 2017 Sumaiya Adam and Paul Rheeder. This is an open access article distributed under the Creative Commons Attribution License. | en_ZA |
dc.subject | Diagnosis | en_ZA |
dc.subject | Women | en_ZA |
dc.subject | Johannesburg, South Africa | en_ZA |
dc.subject | GDM | en_ZA |
dc.subject | Hyperglycemia | en_ZA |
dc.subject | Glucose | en_ZA |
dc.subject | Prevalence | en_ZA |
dc.subject | Mellitus | en_ZA |
dc.subject | Early pregnancy | en_ZA |
dc.subject | African population | en_ZA |
dc.subject | Risk factors | en_ZA |
dc.title | Selective screening strategies for gestational diabetes : a prospective cohort observational study | en_ZA |
dc.type | Article | en_ZA |