Large-Scale Proteomics in Early Pregnancy and Hypertensive Disorders of Pregnancy
Authors' conclusion
In this case-control study with detailed clinical data and stored plasma samples available in the first trimester, an aptamer-based proteomics panel did not meaningfully add to predictive utility over and above clinical and demographic factors that are routinely available.
Study context
- Population
- Nulliparous individuals at first-trimester clinical visits, 8 US academic medical centres, samples 2010–2013
- Participants
- 753 vs 1,097
- Comparison
- Aptamer-based proteomics (6481 proteins) added to clinical and demographic covariates for hypertensive disorders of pregnancy (HDP) prediction
- HDP casesn = 753
- Controlsn = 1,097reference
- Outcome
- Predictive performance for HDP (AUC)
- Follow-up
- First trimester samples; until pregnancy outcome
Methodological detailsmulticentre, 8 US academic medical centres, 80% training / 20% independent test split
- Multicentre
- 8 US academic medical centres
- 80% training / 20% independent test split
Main finding
As reported in the abstract
AUC of elastic net model with forced clinical and demographic covariates (no proteins selected)
Training set AUC
0.64
95% CI 0.61–0.67
Test set AUC
0.62
95% CI 0.56–0.68
Observational data: associations, not effects.
Further findings
AUC with further adjustment for study site
- Only minimal changes in AUCs
Original publication
Large-Scale Proteomics in Early Pregnancy and Hypertensive Disorders of Pregnancy. JAMA Cardiol. Published 1 September 2024. doi:10.
Summarised from the published abstract; every number is checked against it