| Literature link | GPT Summary | Evidence category | Disease type |
|---|---|---|---|
| 32594791 | This study investigated the potential of early pregnancy platelet parameters to predict gestational diabetes mellitus (GDM) in 1188 singleton pregnant women without pre-pregnancy diabetes or other complications. Platelet parameters, including platelet count (PLT), platelet distribution width (PDW), mean platelet volume (MPV), and plateletcrit (PCT), were measured at 11–13+6 weeks, and their association with GDM was analyzed. Results indicated that MPV and PCT were significantly correlated with GDM risk after adjusting for factors like age, parity, and pre-pregnancy BMI (p < 0.05). The area under the curve (AUC) for MPV was 0.577 (95% CI: 0.533–0.621), and for PCT, it was 0.628 (95% CI: 0.582–0.674), suggesting a moderate predictive value. However, PLT and PDW showed no significant association with GDM. These findings suggest that MPV and PCT in early pregnancy could serve as potential indicators for predicting GDM, providing a basis for early screening and intervention. |
Risk factor |
GDM |
| 33795771 | Gestational diabetes mellitus (GDM) affects a significant proportion of pregnancies worldwide and poses serious health risks. This study utilized data from 187,432 pregnant women from 10 hospitals in Xiamen to investigate the relationship between pre-pregnancy demographic parameters, early-pregnancy laboratory biomarkers, and GDM risk. Eight independent factors were identified as significant predictors of GDM: pre-pregnancy BMI, pre-pregnancy folic acid intake, white cell count, platelet count, alanine transaminase, albumin, direct bilirubin, and creatinine. Notably, every 3 kg/m2 increase in pre-pregnancy BMI was associated with a 22% higher GDM risk (adjusted OR: 1.22), while pre-pregnancy folic acid intake reduced GDM risk by 27% (adjusted OR: 0.73). A predictive nomogram model incorporating these eight factors and maternal age demonstrated excellent accuracy (87%) for early identification of women at risk of developing GDM. These findings provide a practical tool for early GDM risk assessment and highlight the importance of pre-pregnancy and early-pregnancy health indicators in preventive care. | Risk factor | GDM |
RF's name
Platelet Count
RF's type
Complete blood cell count