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Research Aricles

Value of PAPP-A combined with BMI in predicting the prognosis of gestational diabetes mellitus: an observational study

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Pages 2833-2839 | Published online: 18 Aug 2022
 

Abstract

The aim of this study was to investigate the potential of pregnancy-associated plasma protein A (PAPP-A) and clinical data in predicting gestational diabetes mellitus (GDM). Clinical data of 318 pregnant women with GDM and 200 healthy pregnant women were retrospectively analysed. The age, BMI and caesarean section in GDM were significantly higher than in normal group. Serum and placental levels of PAPP-A were significantly lower in GDM than in normal group. Pearson’s correlation analysis showed that serum levels of PAPP-A were negatively correlated with BMI and blood glucose level. Binary logistic regression analysis displayed that PAPP-A were the potential factors influencing GDM. The area under the ROC curve (AUC) for PAPP-A combined with BMI in predicting GDM was 0.941, significantly higher than that of the single one. The potential of PAPP-A in the first trimester is limited in predicting GDM. PAPP-A combined with BMI is highly conductive for predicting GDM.

    Impact statement

  • What is already known on this subject? GDM not only increases the risk of perinatal morbidity, but also results in an increased risk of long-term sequelae for both mother and child including diabetes, cardiovascular disease obesity. Previous data indicate that besides glycemic control in the second trimester, interventions initiated early in pregnancy can reduce the rate of GDM in pregnant women. The expression of PAPP-A in serum of GDM pregnant women was decreased in the first trimester. Whereas, whether PAPP-A can be as an early predictor of GDM is not clear.

  • What do the results of this study add? The present study shows that PAPP-A MoM was less than 0.6757 in the first trimester of pregnancy is more prone to GDM. The potential of PAPP-A in the first trimester is limited in predicting GDM. PAPP-A combined with BMI is highly conductive for predicting GDM.

  • What are the implications of these findings for clinical practice and/or further research? Early GDM prediction is crucial for prevention and management of GDM, to cope with the rising prevalence of GDM and reduce later life chronic disease of both mother and child. Based on the level of PAPP-A MoM and BMI, interventions such as lifestyle changes initiated early in pregnancy shouldbeenabledin pregnant women.

Acknowledgements

The authors thank Wenhui Liu, the Fourth Hospital of Hebei Medical University, who helped collect partial clinical data. This study was undertaken without specific financial support. Here, the analyses and conclusions are solely those of the authors; no endorsement is intended or should be inferred.

Author contributions

Zhifen Yang: Conceptualisation, Visualisation, Investigation, Writing - review & editing, Project administration. Rui Zheng and Shengpu Wang: Data curation, Writing – original draft. Xiaoli Zhang: Writing - review & editing, Project administration. Weina Ren: Investigation, Validation. Chunyang Wang: Resources, investigation. Huixin Zhang: Conceptualisation, Project administration.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study was supported by Hebei Health Commission Scientific Research Foundation of China [Grant N0. 20190686].

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