MPV

By Anonymous (not verified) , 13 November 2025
Disease's type
GDM
Experimental grouping
GDM(n=302),Normal Glucose Tolerance(n=310)
GPT's summary
This study evaluated the predictive value of increasing inflammatory markers for gestational diabetes mellitus (GDM). A cross-sectional study of 302 GDM cases and 310 normal pregnancies before 20 weeks gestation was conducted. Sociodemographic, pregnancy characteristics, and blood parameters were collected from maternal health booklets, medical records, and laboratory systems. Independent sample t-tests compared blood cell parameters between groups, while multivariate logistic regression, χ2-tests, receiver operating characteristic (ROC) curves, and Fisher’s linear discriminant analysis assessed the variables' screening effectiveness for GDM. The results showed that neutrophil (NEU), lymphocyte (LYM), platelet (PLT), and erythrocyte (RBC) counts were significantly higher in women with GDM and positively correlated with its development. NEU (odds ratio [OR]: 1.22) and LYM (OR: 2.01) were independently associated with GDM (P < 0.001). In contrast, mean platelet volume (MPV) and mean cell volume (MCV) were inversely associated with GDM risk (ORs: 0.84 and 0.92, respectively; P < 0.01). Fisher’s equation demonstrated a 70.06% accuracy in classifying GDM cases from 4 to 20 weeks gestation. These findings underscore the importance of maternal WBC, RBC, and PLT counts as correlates of GDM, while increased RBC and PLT volumes may provide protective effects against GDM development.
RF's name
Mean platelet volume
Sample's type
Whole Blood
Gestational weeks
before 20th gestational weeks
Experiemental methods
Impedance Method
Machine learning algorithms
Logistic Regression
Title
Variations of blood cells in prediction of gestational diabetes mellitus
Evidence's type
Risk factor
Year
2014
Journal
Journal of Perinatal Medicine