The obstetrics comorbidity index as a predictive tool for risk-appropriate maternal care
OBCMI was demonstrated to discriminate for SMM in a population of obstetrics transfers to a Level IV maternal care facility. When stratifying for maternal indicated transfers, the ability of OBCMI as a predictive tool decreased. The obtained cutoff OBCMI value of ≥ 4 had high specificity but may miss a significant population that would benefit from transfer. Use of the OBCMI may be too crude of a measure to provide a comprehensive risk assessment to predict SMM and adverse obstetrics outcomes. Further studies that may include newer tools such as machine learning may be necessary to develop a more clinically useful tool.
Authors
- Rebecca Smith (ORCID: https://orcid.org/0000-0003-2628-9861)
- Allison R. McCarter
- Emily E. Sharpe (ORCID: https://orcid.org/0000-0003-4232-0718)
- Regan N. Theiler (ORCID: https://orcid.org/0000-0002-3412-3653)
- Megan E. Branda (ORCID: https://orcid.org/0000-0003-0779-6876)
- Vanessa E. Torbenson (ORCID: https://orcid.org/0000-0003-4575-3308)
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1186/s12884-024-06992-0
- Citations
- 1
- Primary Topic
- Maternal and fetal healthcare
- Type
- article
- Field-Weighted Citation Impact
- 1.11