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Daily Cardiology Research Analysis

3 papers

Three impactful cardiology studies stood out today: a Nature Cardiovascular Research paper developed a deep learning model that detects hypertrophic cardiomyopathy from ECG images with strong external validation; a large PLoS Medicine post hoc analysis of the BRIGHT-4 trial showed that inter-hospital transfer for STEMI did not worsen 30-day outcomes and that bivalirudin with high-dose post-PCI infusion reduced death/major bleeding and stent thrombosis versus heparin; a JACC Asia analysis of 488,

Summary

Three impactful cardiology studies stood out today: a Nature Cardiovascular Research paper developed a deep learning model that detects hypertrophic cardiomyopathy from ECG images with strong external validation; a large PLoS Medicine post hoc analysis of the BRIGHT-4 trial showed that inter-hospital transfer for STEMI did not worsen 30-day outcomes and that bivalirudin with high-dose post-PCI infusion reduced death/major bleeding and stent thrombosis versus heparin; a JACC Asia analysis of 488,656 participants found the Body Roundness Index is positively associated with cardiovascular outcomes, with hypertension mediating part of the risk.

Research Themes

  • AI-enabled ECG diagnostics for hypertrophic cardiomyopathy
  • STEMI care pathways and antithrombotic strategy optimization
  • Adiposity metrics (BRI) and long-term cardiovascular risk

Selected Articles

1. Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning.

79Level IIICohortNature cardiovascular research · 2025PMID: 40696040

A multi-cohort deep learning model identified HCM directly from 12-lead ECG images with AUROCs of 0.95 (internal), 0.94 (MIMIC-IV), 0.92 (AUMC), and 0.91 (UK Biobank). Discriminative features localized to V4–V5 regardless of layout, supporting scalable, layout-agnostic deployment.

Impact: This work demonstrates clinically practical, image-based ECG AI that generalizes across datasets and layouts, potentially enabling low-cost HCM screening where raw ECG data are unavailable.

Clinical Implications: May enable opportunistic HCM screening from ECG images in diverse clinical settings (e.g., scanned ECGs), prompting earlier confirmatory imaging and family screening.

Key Findings

  • Deep learning on ECG images achieved AUROCs: 0.95 (internal), 0.94 (MIMIC-IV), 0.92 (AUMC), 0.91 (UK Biobank).
  • Model performance was robust across ECG layouts and image formats.
  • Discriminative features localized to anterior/lateral leads (V4–V5), consistent across layouts.

Methodological Strengths

  • Large multi-cohort external validation (MIMIC-IV, AUMC, UK Biobank).
  • Layout-agnostic image-based approach increasing real-world applicability.

Limitations

  • Retrospective design; prospective clinical impact not yet tested.
  • HCM labels varied across cohorts (imaging vs codes), which may introduce heterogeneity.

Future Directions: Prospective implementation studies to assess diagnostic yield, workflow integration, and downstream outcomes; evaluation in diverse populations and HCM phenocopies.

2. Associations Between Body Roundness Index and Cardiovascular Outcomes: A China Kadoorie Biobank Prospective Cohort Study.

71Level IICohortJACC. Asia · 2025PMID: 40699163

In 488,656 adults followed for a median 10.2 years, higher Body Roundness Index was associated with increased risks of composite CVD, CHD, HF, and stroke. Dose-response analyses showed J-shaped (composite, CHD) and U-shaped (HF, cardiovascular death) associations, with hypertension mediating 14.2% of the BRI–CVD relationship.

Impact: Provides large-scale, contemporary evidence that BRI—a visceral adiposity proxy—adds prognostic information for CVD outcomes beyond BMI in an understudied population.

Clinical Implications: BRI could be incorporated into cardiovascular risk stratification and prevention strategies, emphasizing hypertension control as a key mediator.

Key Findings

  • Highest BRI quartile had increased hazards of composite CVD (HR 1.37), CHD (HR 1.52), HF (HR 1.24), and stroke (HR 1.41).
  • Restricted cubic splines revealed J-shaped associations for composite outcome and CHD; U-shaped for HF and cardiovascular death.
  • Mediation analysis: hypertension mediated 14.2% and diabetes 1.7% of the BRI–CVD association.

Methodological Strengths

  • Very large, prospective cohort with long follow-up.
  • Comprehensive modeling including splines and mediation analysis.

Limitations

  • Observational design with potential residual confounding.
  • Generalizability beyond Chinese population requires validation.

Future Directions: Validate BRI-based risk thresholds across ancestries; test whether BRI-guided interventions (e.g., antihypertensive strategies, lifestyle) reduce events.

3. Analysis of inter-hospital transfer on clinical outcomes after primary percutaneous coronary intervention for ST-segment elevation myocardial infarction: A secondary analysis of the BRIGHT-4 trial.

70Level IICohortPLoS medicine · 2025PMID: 40700454

Among 5,938 STEMI patients undergoing primary PCI, inter-hospital transfer (n=2,121) had similar 30-day death/major bleeding as direct admissions (n=3,817) after adjustment (aHR 0.99). Bivalirudin with high-dose post-PCI infusion reduced the primary endpoint and stent thrombosis versus heparin consistently in both transfer and direct groups.

Impact: Clarifies that transfer for primary PCI does not worsen short-term outcomes and supports high-dose post-PCI bivalirudin as an effective strategy across care pathways.

Clinical Implications: Supports regional STEMI systems enabling transfers without compromising 30-day outcomes; bivalirudin with a post-PCI high-dose infusion may be preferred over heparin to lower death/major bleeding and stent thrombosis.

Key Findings

  • Transferred patients had longer symptom-to-wire times (6.00 vs 3.93 hrs) but no increased 30-day composite risk after adjustment (aHR 0.99).
  • Bivalirudin with high-dose post-PCI infusion reduced the primary endpoint in both transfer (aHR 0.66) and direct groups (aHR 0.62) versus heparin; no interaction by transfer status.
  • Stent thrombosis was reduced with bivalirudin in both care pathways.

Methodological Strengths

  • Large multicenter randomized trial dataset with prespecified treatment arms.
  • Adjusted analyses with consistent effects across subgroups (transfer vs direct).

Limitations

  • Post hoc secondary analysis; causality for transfer effect cannot be established.
  • Outcomes limited to 30 days; long-term prognostic impact requires study.

Future Directions: Prospective evaluations of transfer logistics and pharmacotherapy combinations on long-term outcomes; cost-effectiveness of bivalirudin with high-dose post-PCI infusion in regional systems.