Hct

By Anonymous (not verified) , 13 November 2025
Disease's type
GDM
Experimental grouping
GDM group (n = 49) and non-GDM group (n = 551)
GPT's summary
This study assessed the diagnostic accuracy of multiple complete blood count (CBC) indicators for the early prediction of gestational diabetes mellitus (GDM) in a prospective cohort of 600 pregnant women. Among the participants, 49 (8.2%) were diagnosed with GDM at 24–28 weeks of gestation using a two-step diagnostic approach. Analysis revealed that in the first and early second trimesters, women with GDM had significantly higher mean hematocrit (Hct), hemoglobin (Hb), fasting blood sugar (FBS), and red blood cell count (RBC) compared to non-GDM women (P < 0.001). A predictive model combining repeated measures of Hct, Hb, RBC, and FBS yielded a sensitivity of 87%, specificity of 70%, and an area under the curve (AUC) of 83%. These findings suggest that concurrent longitudinal tracking of these indicators could serve as a practical and effective tool for the early prediction of GDM during pregnancy.
RF's name
Hematocrit
Sample's type
Whole Blood
Gestational weeks
before 12th gestational weeks
Experiemental methods
Impedance Method
Machine learning algorithms
Multivariate Longitudinal Random-Effects
Title
Diagnostic accuracy of first and early second trimester multiple biomarkers for prediction of gestational diabetes mellitus: a multivariate longitudinal approach
Evidence's type
Risk factor
Year
2022
Journal
Bmc Pregnancy And Childbirth