A population-based risk factor scoring will decrease unnecessary testing for the diagnosis of gestational diabetes...

Area of Science:

• Obstetrics and Gynecology
• Endocrinology
• Public Health

Background:

• Gestational diabetes mellitus (GDM) diagnosis relies on screening tests.
• Universal screening for GDM can lead to unnecessary testing in low-risk pregnancies.
• Developing effective risk stratification tools is crucial for optimizing GDM screening protocols.

Purpose of the Study:

• To evaluate a population-based risk factor scoring system for decreasing unnecessary gestational diabetes mellitus (GDM) testing.
• To assess the diagnostic accuracy and efficiency of a risk-based screening strategy for GDM.

Main Methods:

• A five-point risk factor score was developed, incorporating maternal age, BMI, family history of diabetes, prior macrosomic fetus, and previous pregnancy complications.
• Participants underwent a 50-g glucose challenge test (GCT) followed by a 100-g oral glucose tolerance test (OGTT) based on risk score and GCT results.
• The detection rates of the risk-based strategy were compared against universal screening.

Main Results:

• A risk score of zero excluded patients from GDM diagnosis, while a score increase of one elevated GDM risk threefold (OR=3).
• Screening based on a risk score ≥1 and a GCT cut-off of 7.2 mmol/l reduced testing by 30% while diagnosing all GDM cases.
• A risk score ≥2 threshold reduced testing by 63%, diagnosing 85% of GDM cases and decreasing OGTTs by 50-53%.

Conclusions:

• A population-based risk factor scoring system can significantly decrease unnecessary GDM testing.
• This strategy maintains high diagnostic rates, identifying 85-100% of GDM cases.
• Implementing risk-based screening optimizes resource allocation in GDM diagnosis.