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Recording available 2/16-5/2

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Poster Session 1

Category: Medical/Surgical/Diseases/Complications

Poster Session 1

(300) How do atherosclerotic cardiovascular risk models compare when applied to a high-risk postpartum population?

Wednesday, February 11, 2026

10:30 AM - 12:00 PM

Submitting Author and Presenting Author(s)

Michelle R. Petrich, MD (she/her/hers)

MFM Fellow
Saint Louis University/SSM Health
Saint Louis University/St. Louis, Missouri, United States

Coauthor(s)

Andy Chen, MD

Maternal-Fetal Medicine Fellow
SSM Health/St. Louis University School of Medicine
St. Louis, Missouri, United States
SS

Stephanie Shorey, N/A

WHNP-BC
SSM Health
SSM Health/St. Louis, Missouri, United States
MM

Meredith Meyer, MSN, RN

St. Mary's Hospital/SSM Health
SSM Health/St. Louis, Missouri, United States
CF

Carly Fesler, BS

Saint Louis University/School of Medicine
Saint Louis University/St. Louis, Missouri, United States
MP

Mary Park, BS

Saint Louis University/School of Medicine
Saint Louis University/St. Louis, Missouri, United States
MM

Mary McLennan, MD

Saint Louis University/SSM Health
Saint Louis University/St. Louis, Missouri, United States
Niraj R. Chavan, MD, MPH (he/him/his)

Associate Professor, Program Director - MFM Fellowship, Medical Director - WISH Center, Regional OB Quality Chair - SSM Health
Saint Louis University
Saint Louis, Missouri, United States

Objective:
We sought to compare performance of atherosclerotic cardiovascular risk prediction models among patients followed at a comprehensive postpartum clinic for cardiometabolic health optimization.

Study Design:
We conducted a retrospective cohort study of patients who received care at our specialized postpartum center from 9/2024-5/2025. Demographic characteristics, pregnancy and postpartum outcomes, and follow up adherence were abstracted from the electronic records. Cardiometabolic assessments (including BMI, blood pressure, tobacco use, medication history, and lipid and renal profiles) were performed to evaluate and compare 10-year atherosclerotic cardiovascular risk profile, across 2 distinct prediction models – i.e. American Heart Association’s Predicting Risk of Cardiovascular Disease Events (PREVENT) [evaluated with the addition of 2 expansion variables – Social Deprivation Index (SDI) and A1c (in separate models)] and the American College of Cardiology Atherosclerotic Cardiovascular Disease (ASCVD) risk assessment. Two-sample t-tests were used to assess differences; significance was set at p≤.05.

Results:
Of 186 patients followed through our specialized postpartum center, 47 (25%) had a complete metabolic assessment performed. The 10-year cardiovascular risk profile as evaluated through the PREVENT with Social Deprivation Index (SDI) expansion was 0.59%, PREVENT with A1c expansion was 0.75%, and ASCVD was 1.25% across the subset with completed metabolic assessments. PREVENT with SDI predicted a significantly lower risk than ASCVD for those with hypertensive disorders of pregnancy (p=.01), BMI< 40 (p< .01), and age< 40 (p=.04) (Table 1). PREVENT with A1c predicted a significantly lower risk than ASCVD for those with hypertensive disorders of pregnancy (p< .01), BMI< 40 (p< .01), and age< 40 (p< .01) (Table 2).

Conclusion:
Postpartum cardiometabolic assessments are essential for predicting and appropriately counseling on long term cardiovascular risk. Further research in a larger cohort is critical for developing accurate risk assessment models and optimizing interconception and periconception care.