Daily Cardiology Research Analysis
Validation of the AHA PREVENT equations in 2.5 million US veterans showed accurate, well-calibrated cardiovascular risk prediction and outperformed PCEs for ASCVD calibration. Mechanistic profiling in CTEPH revealed a reversible extracellular-matrix and cytoskeletal signature in the right ventricle with T2 mapping at RV insertion points independently predicting mortality. A meta-analysis confirmed that elevated lipoprotein(a) is associated with higher death, MI, stroke, and MACE after PCI.
Summary
Validation of the AHA PREVENT equations in 2.5 million US veterans showed accurate, well-calibrated cardiovascular risk prediction and outperformed PCEs for ASCVD calibration. Mechanistic profiling in CTEPH revealed a reversible extracellular-matrix and cytoskeletal signature in the right ventricle with T2 mapping at RV insertion points independently predicting mortality. A meta-analysis confirmed that elevated lipoprotein(a) is associated with higher death, MI, stroke, and MACE after PCI.
Research Themes
- Cardiovascular risk prediction and model calibration
- Right ventricular remodeling and imaging biomarkers in pulmonary hypertension
- Lipoprotein(a) and outcomes after coronary interventions
Selected Articles
1. Performance of the American Heart Association's PREVENT risk score for cardiovascular risk prediction in a multiethnic population.
In 2.5 million US veterans, the AHA PREVENT equations showed acceptable discrimination and superior calibration for ASCVD compared with PCEs, with consistent performance across race/ethnicity. PREVENT accurately estimated total CVD and ASCVD risk and mitigated overprediction seen with PCEs.
Impact: This is the first large-scale, multiethnic external validation of PREVENT demonstrating better-calibrated risk prediction than PCEs, informing immediate use in clinical risk assessment.
Clinical Implications: Clinicians can preferentially use PREVENT for ASCVD/CVD risk estimation, especially in diverse populations, expecting better calibration than PCEs; integration into EHR risk calculators is justified.
Key Findings
- Sample included 2,500,291 veterans with 407,342 total CVD events over median 5.8 years.
- PREVENT-CVD C-index ~0.65 overall; similar across Asian, Hispanic, Black, and White groups.
- PREVENT-ASCVD calibration slope 1.15 vs PCE calibration slope 0.51, indicating PCE overprediction.
- PREVENT outperformed PCEs in ASCVD risk prediction calibration across race/ethnicity.
Methodological Strengths
- Very large, nationwide multiethnic cohort enabling precise validation and subgroup analyses.
- Head-to-head comparison of discrimination and calibration versus PCEs with rigorous metrics.
Limitations
- Predominantly male veteran cohort may limit generalizability to broader populations.
- Observational design with potential coding/measurement biases inherent to administrative datasets.
Future Directions: Validation in non-veteran, community cohorts (including higher female representation), impact analyses on treatment decisions, and EHR implementation studies assessing clinical outcomes.
2. Transcriptional changes of the extracellular matrix in chronic thromboembolic pulmonary hypertension govern right ventricle remodeling and recovery.
In CTEPH, RV biopsies demonstrated an extracellular-matrix/cytoskeletal remodeling program that reverses after pulmonary endarterectomy. Candidate mediators (ANKRD1, IL7R, SERPINE1) implicate fibrotic and proliferative signaling, providing mechanistic links between hemodynamic unloading and molecular recovery.
Impact: This human tissue–based, pre/post-PEA study uncovers a reversible RV molecular signature and specific targets, advancing mechanistic understanding and opening avenues for adjunct medical therapies beyond surgery.
Clinical Implications: T2 mapping at RV insertion points and molecular markers may refine risk stratification and monitoring after PEA. Targeting ECM and profibrotic signaling could modulate maladaptive RV remodeling in CTEPH.
Key Findings
- Pre-PEA RV biopsies showed extracellular-matrix enrichment and cytoskeletal remodeling; findings replicated across exploratory and confirmatory cohorts.
- Post-PEA samples demonstrated reversal of histological and transcriptional abnormalities, indicating molecular recovery with hemodynamic unloading.
- ANKRD1, IL7R, and SERPINE1 were implicated as key mediators of fibrotic/proliferative pathways in human tissue and experimental models.
Methodological Strengths
- Paired human RV biopsies with pre/post intervention profiling using RNA-seq and histology.
- Replication across exploratory and confirmatory cohorts plus validation in experimental models.
Limitations
- Modest sample size and potential selection bias inherent to surgical biopsy cohorts.
- Observational nature limits causal inference; clinical translation of targets requires trials.
Future Directions: Prospective studies integrating RV tissue/imaging biomarkers with outcomes, and early-phase trials targeting ECM/fibrotic pathways to enhance RV recovery post-PEA.
3. Association between lipoprotein(a) concentration and outcomes after percutaneous coronary intervention: A systematic review and meta-analysis.
Across 14 studies (40,241 PCI patients), elevated Lp(a) was associated with significantly higher risks of all-cause death, MI, cardiovascular death, MACE, and stroke over ~5 years. Findings were robust to sensitivity analyses.
Impact: As Lp(a)-lowering therapies emerge, these pooled data support routine Lp(a) measurement to stratify post-PCI risk and inform secondary prevention intensity.
Clinical Implications: Measure Lp(a) in PCI candidates and survivors to identify high-risk patients who may benefit from intensified lipid-lowering, antithrombotic strategies, and future Lp(a)-targeted therapies.
Key Findings
- Meta-analysis included 14 studies with 40,241 PCI patients; mean follow-up 4.9 years.
- High Lp(a) associated with higher all-cause death (IRR 1.42) and cardiovascular death (IRR 1.50).
- Elevated risks observed for MI (IRR 1.45), MACE (IRR 1.35), and stroke (IRR 1.33).
- Sensitivity (leave-one-out, cumulative) analyses confirmed robustness of associations.
Methodological Strengths
- Systematic search across major databases with predefined outcomes and study-level synthesis.
- Consistent results across sensitivity analyses supporting robustness.
Limitations
- Study-level meta-analysis with heterogeneity in Lp(a) assays, thresholds, and residual confounding.
- Observational data cannot establish causality; therapy effects by Lp(a) levels not randomized.
Future Directions: Patient-level meta-analyses and randomized trials of Lp(a)-lowering agents in PCI populations to test risk reduction and refine thresholds.