Positive Predictive Value of Universal Cardiovascular Disease Risk Assessment for Pregnant and Postpartum Patients
Authors' conclusion
The CMQCC CVD Risk Assessment algorithm effectively identifies pregnant and postpartum patients with previously unrecognized CVD. While the overall predictive value is moderate, the PE findings drive the algorithm's strongest predictive performance.
Study context
- Population
- Pregnant and postpartum patients undergoing cardiovascular disease (CVD) risk assessment with the CMQCC algorithmpregnant and postpartum patients in whom CVD risk assessment was performed using CMQCC algorithm
- Participants
- 19,238 participants
- Index test or model
- CMQCC CVD risk assessment algorithm vs subsequently confirmed CVD
- Target condition
- CVD
Methodological details4 major health networks in the United States, 2020 to 2024
- 4 major health networks in the United States
- 2020 to 2024
Performance
As reported in the abstract
Overall positive predictive value
15.6%
95% CI 0.1278–0.1887
Further findings
Most predictive elements of the risk assessment algorithm
- Physical exam (PE) findings were the most predictive elements of the risk assessment algorithm
Patients identified as at risk and confirmed CVD
- Identified as "at risk" for CVD
- 2.0%
- Subsequently confirmed to have CVD
- 2.3%
Original publication
Positive Predictive Value of Universal Cardiovascular Disease Risk Assessment for Pregnant and Postpartum Patients. JACC Adv. Published August 2026. doi:10.
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