Cardio-oncology & otherCohort study
Positive Predictive Value of Universal Cardiovascular Disease Risk Assessment for Pregnant and Postpartum Patients
- retrospective chart review
- 4 major health networks in the United States
- 2020 to 2024
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 CMQCC cardiovascular disease (CVD) risk assessmentpregnant and postpartum patients assessed with the CMQCC algorithm
- Participants
- 19,238 participants
- Exposure
- CMQCC CVD risk assessment algorithm against confirmed CVD
Main finding
As reported in the abstract
Identified as "at risk" for CVD
Identified as "at risk" for CVD
2.0%
Observational data: associations, not effects.
Further findings
Subsequently confirmed CVD
- Confirmed to have CVD
- 2.3%
Overall positive predictive value
- Positive predictive value
- 15.6% (95% CI 0.1278-0.1887)
Most predictive elements
- Physical exam (PE) findings were the most predictive elements of the risk assessment algorithm
Original publication
Positive Predictive Value of Universal Cardiovascular Disease Risk Assessment for Pregnant and Postpartum Patients. JACC Adv. doi:10.1016/j.jacadv.2026.103069
Summarised from the published abstract; every number is checked against it