Early prediction of gestational diabetes mellitus using first trimester maternal serum pregnancy-associated plasma protein-a: A cross-sectional study.

early diagnosis gestational diabetes mellitus obstetrics oral glucose tolerancetest pregnancy pregnancy‐associated plasma protein‐A

Journal

Health science reports
ISSN: 2398-8835
Titre abrégé: Health Sci Rep
Pays: United States
ID NLM: 101728855

Informations de publication

Date de publication:
Oct 2024
Historique:
received: 25 01 2024
revised: 16 07 2024
accepted: 05 09 2024
medline: 2 10 2024
pubmed: 2 10 2024
entrez: 2 10 2024
Statut: epublish

Résumé

The oral glucose tolerance test with 75 g glucose is commonly regarded as the gold standard (GS) for the detection of gestational diabetes mellitus (GDM). However, one limitation of this test is its administration in the late second trimester of pregnancy in some countries (e.g., Iran). This study aimed to evaluate the accuracy of pregnancy-associated plasma protein-A (PAPP-A) for predicting GDM in the early first trimester of pregnancy using a novel statistical modeling technique. The study population consisted of 344 pregnant women who participated in the first trimester screening program for GDM. Maternal serum PAPP-A levels were measured between 11 and 13 gestational weeks for all participants. A Bayesian latent profile model (LPM) under the skew-t (ST) distribution was employed to estimate the diagnostic accuracy measures of PAPP-A in the absence of GS test outcomes. The mean (standard deviation) age of the participants was 28.87 ± 5.20 years. The median (interquartile range (IQR)) PAPP-A MoM was 0.91 (0.69-1.34). Utilizing the LPM under the ST distribution while adjusting for covariates, the sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of PAPP-A were 92% (95% credible interval [CrI]: 0.89, 0.98), 81% (95% CrI: 0.76, 0.91), and 0.91 (95% CrI: 0.83, 0.97), respectively. Notably, the pregnant women with GDM had significantly lower PAPP-A values ( Generally, our findings confirmed that PAPP-A could serve as a potential screening tool for the identification of GDM in the early stages of pregnancy.

Sections du résumé

Background and Aims UNASSIGNED
The oral glucose tolerance test with 75 g glucose is commonly regarded as the gold standard (GS) for the detection of gestational diabetes mellitus (GDM). However, one limitation of this test is its administration in the late second trimester of pregnancy in some countries (e.g., Iran). This study aimed to evaluate the accuracy of pregnancy-associated plasma protein-A (PAPP-A) for predicting GDM in the early first trimester of pregnancy using a novel statistical modeling technique.
Methods UNASSIGNED
The study population consisted of 344 pregnant women who participated in the first trimester screening program for GDM. Maternal serum PAPP-A levels were measured between 11 and 13 gestational weeks for all participants. A Bayesian latent profile model (LPM) under the skew-t (ST) distribution was employed to estimate the diagnostic accuracy measures of PAPP-A in the absence of GS test outcomes.
Results UNASSIGNED
The mean (standard deviation) age of the participants was 28.87 ± 5.20 years. The median (interquartile range (IQR)) PAPP-A MoM was 0.91 (0.69-1.34). Utilizing the LPM under the ST distribution while adjusting for covariates, the sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of PAPP-A were 92% (95% credible interval [CrI]: 0.89, 0.98), 81% (95% CrI: 0.76, 0.91), and 0.91 (95% CrI: 0.83, 0.97), respectively. Notably, the pregnant women with GDM had significantly lower PAPP-A values (
Conclusion UNASSIGNED
Generally, our findings confirmed that PAPP-A could serve as a potential screening tool for the identification of GDM in the early stages of pregnancy.

Identifiants

pubmed: 39355100
doi: 10.1002/hsr2.70090
pii: HSR270090
pmc: PMC11439745
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e70090

Informations de copyright

© 2024 The Author(s). Health Science Reports published by Wiley Periodicals LLC.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Auteurs

Maedeh Amini (M)

Department of Biostatistics, Faculty of Medical Sciences Tarbiat Modares University Tehran Iran.

Anoshirvan Kazemnejad (A)

Department of Biostatistics, Faculty of Medical Sciences Tarbiat Modares University Tehran Iran.

Aliakbar Rasekhi (A)

Department of Biostatistics, Faculty of Medical Sciences Tarbiat Modares University Tehran Iran.

Azam Amirian (A)

Department of Midwifery, School of Nursing and Midwifery Jiroft University of Medical Sciences Jiroft Iran.

Nourossadat Kariman (N)

Department of Midwifery and Reproductive Health, School of Nursing and Midwifery Shahid Beheshti University of Medical Sciences Tehran Iran.

Classifications MeSH