Arianne N Sweeting1,2, Jencia Wong1,2, Heidi Appelblom3, Glynis P Ross1,2, Heikki Kouru4, Paul F Williams1,2, Mikko Sairanen4, Jon A Hyett2,5. 1. a Diabetes Centre , Royal Prince Alfred Hospital , Sydney , Australia. 2. b Central Clinical School, Faculty of Medicine , University of Sydney , Sydney , Australia. 3. c Department of Clinical Biochemistry , Royal Prince Alfred Hospital , Sydney , Australia. 4. d Diagnostics , Perkin Elmer , Turku , Finland. 5. e RPA Women and Babies , Royal Prince Alfred Hospital , Sydney , Australia.
Abstract
OBJECTIVE: We examined whether first trimester aneuploidy and pre-eclampsia screening markers predict gestational diabetes mellitus (GDM) in a large multi-ethnic cohort and the influence of local population characteristics on markers. METHODS: Clinical and first trimester markers (mean arterial pressure (MAP), uterine artery pulsatility index (UtA PI), pregnancy associated plasma protein A (PAPP-A), free-β human chorionic gonadotropin (free-hCGβ)) were measured in a case-control study of 980 women (248 with GDM, 732 controls) at 11 to 13 + 6 weeks' gestation. Clinical parameters, MAP-, UtA PI-, PAPP-A-, and free-hCGβ-multiples-of-the-median (MoM) were compared between GDM and controls; stratified by ethnicity, parity, and GDM diagnosis <24 versus ≥24 weeks' gestation. GDM model screening performance was evaluated using AUROC. RESULTS: PAPP-A- and UtA PI-MoM were significantly lower in GDM versus controls (median ((IQR) PAPP-A-MoM 0.81 (0.58-1.20) versus 1.00 (0.70-1.46); UtA PI-MoM 1.01 (0.82-1.21) versus 1.05 (0.84-1.29); p < .05). Previous GDM, family history of diabetes, south/east Asian ethnicity, parity, BMI, MAP, UtA PI, and PAPP-A were significant predictors in multivariate analysis (p < .05). The AUC for a model based on clinical parameters was 0.88 (95%CI 0.85-0.92), increasing to 0.90 (95%CI 0.87-0.92) with first trimester markers combined. The combined model best predicted GDM <24 weeks' gestation (AUC 0.96 (95%CI 0.94-0.98)). CONCLUSIONS: Addition of aneuploidy and pre-eclampsia markers is cost-effective and enhances early GDM detection, accurately identifying early GDM, a high-risk cohort requiring early detection, and intervention. Ethnicity and parity modified marker association with GDM, suggesting differences in pathophysiology and vascular risk.
OBJECTIVE: We examined whether first trimester aneuploidy and pre-eclampsia screening markers predict gestational diabetes mellitus (GDM) in a large multi-ethnic cohort and the influence of local population characteristics on markers. METHODS: Clinical and first trimester markers (mean arterial pressure (MAP), uterine artery pulsatility index (UtA PI), pregnancy associated plasma protein A (PAPP-A), free-β human chorionic gonadotropin (free-hCGβ)) were measured in a case-control study of 980 women (248 with GDM, 732 controls) at 11 to 13 + 6 weeks' gestation. Clinical parameters, MAP-, UtA PI-, PAPP-A-, and free-hCGβ-multiples-of-the-median (MoM) were compared between GDM and controls; stratified by ethnicity, parity, and GDM diagnosis <24 versus ≥24 weeks' gestation. GDM model screening performance was evaluated using AUROC. RESULTS:PAPP-A- and UtA PI-MoM were significantly lower in GDM versus controls (median ((IQR) PAPP-A-MoM 0.81 (0.58-1.20) versus 1.00 (0.70-1.46); UtA PI-MoM 1.01 (0.82-1.21) versus 1.05 (0.84-1.29); p < .05). Previous GDM, family history of diabetes, south/east Asian ethnicity, parity, BMI, MAP, UtA PI, and PAPP-A were significant predictors in multivariate analysis (p < .05). The AUC for a model based on clinical parameters was 0.88 (95%CI 0.85-0.92), increasing to 0.90 (95%CI 0.87-0.92) with first trimester markers combined. The combined model best predicted GDM <24 weeks' gestation (AUC 0.96 (95%CI 0.94-0.98)). CONCLUSIONS: Addition of aneuploidy and pre-eclampsia markers is cost-effective and enhances early GDM detection, accurately identifying early GDM, a high-risk cohort requiring early detection, and intervention. Ethnicity and parity modified marker association with GDM, suggesting differences in pathophysiology and vascular risk.
Entities:
Keywords:
Gestational diabetes; aneuploidy and pre-eclampsia markers; ethnicity; first trimester screening
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