Gestational diabetes & diabetes in pregnancy
Integrating adipsin with novel cardiometabolic and inflammatory indices for enhanced early prediction of gestational diabetes mellitus: a prospective cohort study
Authors' conclusion
CMI, SIRI, and serum adipsin are independently associated with GDM risk, and their combination provides a promising multi-biomarker strategy for early GDM prediction. Further studies are needed to validate these findings in diverse populations.
Study context
- Population
- Pregnant women in Suzhou, China; baseline data at 12 weeks of gestation; Gestational diabetes mellitus (GDM) diagnosed at 24–28 weeks
- Participants
- 1,660 women
- Exposure
- Composite model vs individual models for GDM prediction
- Outcome
- Predictive value of CMI, SIRI and serum adipsin for GDM
- Follow-up
- GDM diagnosed between 24 and 28 weeks of gestation
Main finding
As reported in the abstract
AUC for GDM prediction
| Group | AUC |
|---|---|
| Composite model | 0.918 |
| Cardiometabolic index (CMI) | 0.825 |
| Systemic inflammation response index (SIRI) | 0.802 |
| Adipsin | 0.724 |
AUC
Composite model0.918
Cardiometabolic index (CMI)0.825
Systemic inflammation response index (SIRI)0.802
Adipsin0.724
Observational data: associations, not effects.
Further findings
Baseline CMI, SIRI and adipsin, GDM vs non-GDM
- GDM had significantly higher CMI and SIRI and lower serum adipsin at baseline vs non-GDM
Association with GDM risk
- Increased CMI and SIRI and reduced adipsin independently associated with higher GDM risk in unadjusted and adjusted models
- all P < 0.05
Original publication
Integrating adipsin with novel cardiometabolic and inflammatory indices for enhanced early prediction of gestational diabetes mellitus: a prospective cohort study. Cardiovasc Diabetol. Published 2 May 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →