Association between gestational diabetes and biomarkers : a role in diagnosis
| dc.contributor.author | Adam, Sumaiya | |
| dc.contributor.author | Pheiffer, Carmen | |
| dc.contributor.author | Dias, Stephanie Charmaine | |
| dc.contributor.author | Rheeder, Paul | |
| dc.contributor.email | sumaiya.adam@up.ac.za | en_ZA |
| dc.date.accessioned | 2019-04-05T05:17:21Z | |
| dc.date.available | 2019-04-05T05:17:21Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | BACKGROUND : We investigated the association between markers of insulin resistance, chronic inflammation, and adipokines and GDM. METHODS : In our case-cohort study in Johannesburg we included women with GDM and controls. We tested the ability of biomarkers to identify women at high risk of GDM. RESULTS : Of the 262 pregnant women, 83 (31.7%) had GDM. Women with GDM were heavier (p = 0.04) and had more clinical risk factors (p = 0.008). We found a significant difference in fasting insulin (p < 0.001), adiponectin (p = 0.046), HOMA (p < 0.001) and QUICKI (p < 0.001). HOMA (AUROC = 0.82) or QUICKI (AUROC = 0.82) improved the ability of risk factors to identify women at high risk of GDM. CONCLUSIONS : Insulin sensitivity markers are promising tools 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 | hj2019 | en_ZA |
| dc.description.sponsorship | The Society for Endocrinology, Metabolism and Diabetes of South Africa (SEMDSA), South African Sugar Association (SASA), and Roche Pharmaceuticals. | en_ZA |
| dc.description.uri | http://www.tandfonline.com/loi/ibmk20 | en_ZA |
| dc.identifier.citation | Adam, S., Pheiffer, C., Dias, S. et al. 2018, 'Association between gestational diabetes and biomarkers : a role in diagnosis', Biomarkers, vol. 23, no. 4, pp. 386-391. | en_ZA |
| dc.identifier.issn | 1354-750X (print) | |
| dc.identifier.issn | 1366-5804 (online) | |
| dc.identifier.other | 10.1080/1354750X.2018.1432690 | |
| dc.identifier.uri | http://hdl.handle.net/2263/68921 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | Taylor and Francis | en_ZA |
| dc.rights | © 2018 Informa UK Limited, trading as Taylor & Francis Group. This is an electronic version of an article published in Biomarkers, vol. 23, no. 4, pp. 386-391, 2018. doi : 10.1080/1354750X.2018.1432690. Biomarkers is available online at : http://www.tandfonline.com/loi/ibmk20. | en_ZA |
| dc.subject | Protein | en_ZA |
| dc.subject | Pregnancy | en_ZA |
| dc.subject | Adiponectin | en_ZA |
| dc.subject | Women | en_ZA |
| dc.subject | Type 2 diabetes mellitus (T2DM) | en_ZA |
| dc.subject | Insulin sensitivity | en_ZA |
| dc.subject | Biomarkers | en_ZA |
| dc.subject | Gestational diabetes (GDM) | en_ZA |
| dc.title | Association between gestational diabetes and biomarkers : a role in diagnosis | en_ZA |
| dc.type | Postprint Article | en_ZA |