Limits...
First-trimester prediction of gestational diabetes mellitus: examining the potential of combining maternal characteristics and laboratory measures.

Savvidou M, Nelson SM, Makgoba M, Messow CM, Sattar N, Nicolaides K - Diabetes (2010)

Bottom Line: We identified first-trimester maternal samples from 124 women who developed GDM and 248 control subjects who did not.With regard biochemical measures, stepwise analyses identified only elevated t-PA and low HDL cholesterol levels as significant (P ≤ 0.015) independent predictors of GDM beyond simple non-laboratory-based maternal measures.Their inclusion improved the AUC-ROC from 0.824 to 0.861 and IDI by 0.052 (0.017-0.115).

View Article: PubMed Central - PubMed

Affiliation: Department of Maternal Fetal Medicine, Imperial College School of Medicine, Chelsea and Westminster Hospital, London, UK. msavvidou2005@yahoo.co.uk

ABSTRACT

Objective: Predictors of gestational diabetes mellitus (GDM) have been widely studied, but few studies have considered multiple measures. Our objective was to integrate several potential GDM predictors with consideration to both simple and novel measures and to determine the extent to which GDM can be predicted in the first trimester.

Research design and methods: We identified first-trimester maternal samples from 124 women who developed GDM and 248 control subjects who did not. We gathered data on age, BMI, parity, race, smoking, prior GDM, family history of diabetes, and blood pressure. Using retrieved samples, we measured routine (lipids, high-sensitivity C-reactive protein, and γ-glutamyltransferase) and novel (adiponectin, E-selectin, and tissue plasminogen activator [t-PA]) parameters. We determined independent predictors from stepwise regression analyses, calculated areas under the receiver-operating characteristic curves (AUC-ROC), and integrated discrimination improvement (IDI) for relevant models.

Results: Compared with control subjects, women who subsequently developed GDM were older, had higher BMIs, were more likely to be of Asian origin, had a history of GDM or family history of type 2 diabetes, and had higher systolic blood pressure (P < 0.05 for all). With regard biochemical measures, stepwise analyses identified only elevated t-PA and low HDL cholesterol levels as significant (P ≤ 0.015) independent predictors of GDM beyond simple non-laboratory-based maternal measures. Their inclusion improved the AUC-ROC from 0.824 to 0.861 and IDI by 0.052 (0.017-0.115).

Conclusions: GDM can be usefully estimated from a mix of simple questions with potential for further improvement by specific blood measures (lipids and t-PA).

Show MeSH

Related in: MedlinePlus

A: ROC curves and summaries for all mothers using a basic model (including age, gestational age at sampling, BMI, ethnicity, family history of diabetes, and prior GDM) and with addition of independent predictors (HDL cholesterol and t-PA). AUC, area under ROC curve. B: ROC curves and summaries for women with no prior GDM using a basic model (including age, gestational age at sampling, BMI, ethnicity, and family history of diabetes) and with addition of independent predictors (HDL cholesterol and t-PA).
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC2992761&req=5

Figure 1: A: ROC curves and summaries for all mothers using a basic model (including age, gestational age at sampling, BMI, ethnicity, family history of diabetes, and prior GDM) and with addition of independent predictors (HDL cholesterol and t-PA). AUC, area under ROC curve. B: ROC curves and summaries for women with no prior GDM using a basic model (including age, gestational age at sampling, BMI, ethnicity, and family history of diabetes) and with addition of independent predictors (HDL cholesterol and t-PA).

Mentions: We determined the predictive ability of simple measures routinely available at booking visit (namely maternal age, gestational age at sampling, BMI, race, family history of diabetes, and prior GDM) in the entire cohort. This demonstrated an AUC-ROC of 0.824, which increased significantly to 0.861 with the addition of HDL cholesterol and t-PA (Fig. 1A). Upon repeating the same analyses but removing all women with prior GDM, the AUC-ROCs were 0.751 and 0.806, respectively (Fig. 1B).


First-trimester prediction of gestational diabetes mellitus: examining the potential of combining maternal characteristics and laboratory measures.

Savvidou M, Nelson SM, Makgoba M, Messow CM, Sattar N, Nicolaides K - Diabetes (2010)

A: ROC curves and summaries for all mothers using a basic model (including age, gestational age at sampling, BMI, ethnicity, family history of diabetes, and prior GDM) and with addition of independent predictors (HDL cholesterol and t-PA). AUC, area under ROC curve. B: ROC curves and summaries for women with no prior GDM using a basic model (including age, gestational age at sampling, BMI, ethnicity, and family history of diabetes) and with addition of independent predictors (HDL cholesterol and t-PA).
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2992761&req=5

Figure 1: A: ROC curves and summaries for all mothers using a basic model (including age, gestational age at sampling, BMI, ethnicity, family history of diabetes, and prior GDM) and with addition of independent predictors (HDL cholesterol and t-PA). AUC, area under ROC curve. B: ROC curves and summaries for women with no prior GDM using a basic model (including age, gestational age at sampling, BMI, ethnicity, and family history of diabetes) and with addition of independent predictors (HDL cholesterol and t-PA).
Mentions: We determined the predictive ability of simple measures routinely available at booking visit (namely maternal age, gestational age at sampling, BMI, race, family history of diabetes, and prior GDM) in the entire cohort. This demonstrated an AUC-ROC of 0.824, which increased significantly to 0.861 with the addition of HDL cholesterol and t-PA (Fig. 1A). Upon repeating the same analyses but removing all women with prior GDM, the AUC-ROCs were 0.751 and 0.806, respectively (Fig. 1B).

Bottom Line: We identified first-trimester maternal samples from 124 women who developed GDM and 248 control subjects who did not.With regard biochemical measures, stepwise analyses identified only elevated t-PA and low HDL cholesterol levels as significant (P ≤ 0.015) independent predictors of GDM beyond simple non-laboratory-based maternal measures.Their inclusion improved the AUC-ROC from 0.824 to 0.861 and IDI by 0.052 (0.017-0.115).

View Article: PubMed Central - PubMed

Affiliation: Department of Maternal Fetal Medicine, Imperial College School of Medicine, Chelsea and Westminster Hospital, London, UK. msavvidou2005@yahoo.co.uk

ABSTRACT

Objective: Predictors of gestational diabetes mellitus (GDM) have been widely studied, but few studies have considered multiple measures. Our objective was to integrate several potential GDM predictors with consideration to both simple and novel measures and to determine the extent to which GDM can be predicted in the first trimester.

Research design and methods: We identified first-trimester maternal samples from 124 women who developed GDM and 248 control subjects who did not. We gathered data on age, BMI, parity, race, smoking, prior GDM, family history of diabetes, and blood pressure. Using retrieved samples, we measured routine (lipids, high-sensitivity C-reactive protein, and γ-glutamyltransferase) and novel (adiponectin, E-selectin, and tissue plasminogen activator [t-PA]) parameters. We determined independent predictors from stepwise regression analyses, calculated areas under the receiver-operating characteristic curves (AUC-ROC), and integrated discrimination improvement (IDI) for relevant models.

Results: Compared with control subjects, women who subsequently developed GDM were older, had higher BMIs, were more likely to be of Asian origin, had a history of GDM or family history of type 2 diabetes, and had higher systolic blood pressure (P < 0.05 for all). With regard biochemical measures, stepwise analyses identified only elevated t-PA and low HDL cholesterol levels as significant (P ≤ 0.015) independent predictors of GDM beyond simple non-laboratory-based maternal measures. Their inclusion improved the AUC-ROC from 0.824 to 0.861 and IDI by 0.052 (0.017-0.115).

Conclusions: GDM can be usefully estimated from a mix of simple questions with potential for further improvement by specific blood measures (lipids and t-PA).

Show MeSH
Related in: MedlinePlus