Disease's type
GDM
Experimental grouping
Participants were divided into four groups based on pre-pregnancy BMI: underweight (p-BMI < 18.5 kg/m2), normal weight (18.5 ≤ p-BMI < 24 kg/m2), overweight (24 ≤ p-BMI < 28 kg/m2), and obese (p-BMI ≥ 28 kg/m2).
GPT's summary
The research evaluated how early pregnancy lipid levels and fasting glucose can predict gestational diabetes, considering pre-pregnancy BMI. It found that while several lipid profile indicators are useful, fasting glucose is the most precise predictor. The effectiveness and threshold values of these predictors differ based on pre-pregnancy BMI, suggesting that BMI should be considered when assessing GDM risk.
RF's name
Low Density Lipoprotein Cholesterol to High Density Lipoprotein Cholesterol ratio
Sample's type
Plasma
Gestational weeks
before 14th gestational weeks
Experiemental methods
Two Point End Method
Machine learning algorithms
Logistic Regression
Title
The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass Index
Evidence's type
Risk factor
Year
2016
Journal
Journal of Diabetes Research
PMID