Abstract 4366858: Integrating Lipoprotein(a) and Albuminuria Screening into Cardiovascular Primary Prevention: Early Outcomes from the CardioPrevent Program
Bibliographic record
Abstract
Background: Lipoprotein(a) [Lp(a)] and urine albumin-to-creatinine ratio (UACR) are increasingly recognized as important biomarkers in cardiovascular risk assessment. Elevated Lp(a) is a genetically determined, independent risk factor for atherosclerotic cardiovascular disease (ASCVD), while elevated UACR reflects early renal and endothelial dysfunction—both associated with increased cardiovascular events. Despite their clinical significance, these markers are not routinely screened in the primary prevention setting. The CardioPrevent program is a comprehensive cardiovascular prevention initiative designed for all individuals at risk of developing cardiovascular disease, including those with traditional risk factors as well as postpartum individuals who experienced pregnancy related complications such as pre-eclampsia, gestational diabetes, etc. Originally launched as a health coaching initiative focused on lifestyle modification, we evolved the program in 2025 to include a Cardiometabolic-Prevention Clinic, enabling us to provide medical management and advanced risk stratification for high-risk individuals. Methods: In January 2025, we implemented a medical directive to routinely screen all new patients for Lp(a) and UACR, regardless of whether they had a primary care provider. This initiative was especially impactful for postpartum individuals with a history of pregnancy complications—who are at increased long-term cardiovascular risk but often lack consistent follow-up care. Results: Since the new directive’s implementation, 19% of patients were identified with elevated Lp(a) and 4% with elevated UACR—individuals who would have otherwise gone undetected through standard care pathways. A proportion of these were postpartum patients without access to a physician or nurse practitioner, highlighting a critical gap in care that our clinic is helping to bridge. Conclusion: By integrating Lp(a) and UACR screening into our preventive care model, we uncovered a significant burden of unrecognized cardiovascular risk. The addition of the Cardiometabolic-Prevention Clinic has allowed us to proactively manage high-risk individuals, particularly in underserved populations. These findings support broader adoption of such screening strategies in primary prevention, especially for postpartum individuals with prior pregnancy complications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".