Disease's type
GDM
Experimental grouping
GDM(n=113),Normal Glucose Tolerance(n=902)
GPT's summary
This study evaluated the predictive value of selective screening (SS) risk factors (RFs) for gestational diabetes mellitus (GDM) and aimed to identify high-risk subgroups using the RECPAM method. Among 1015 women screened, 113 (11.1%) were diagnosed with GDM. SS criteria missed 23% of GDM cases due to absence of RFs. RECPAM identified fasting plasma glucose >5.1 mmol/L and pre-pregnancy BMI as significant predictors. Including previous macrosomia and family history of diabetes in a logistic model further enhanced prediction accuracy. The RECPAM-based approach could halve undiagnosed GDM cases but requires more oral glucose tolerance tests.
RF's name
Previous Macrosomia
Gestational weeks
after 24th gestational weeks
Title
Improvement of selective screening strategy for gestational diabetes through a more accurate definition of high-risk groups
Evidence's type
Risk factor
Year
2013
Journal
Eur J Endocrinol.
PMID