The correlation between the atherogenic index of plasma and aortic valve calcification in the general population: a retrospective observational cohort study - Scorecard - MDSpire

The correlation between the atherogenic index of plasma and aortic valve calcification in the general population: a retrospective observational cohort study

  • By

  • Bolun Jiao

  • Rui Yu

  • Lei Li

  • Yangmin Hao

  • Guoli Du

  • Sheng Jiang

  • June 4, 2026

  • 0 min

Share

Clinical Scorecard: Association of Plasma Atherogenic Index with Aortic Valve Calcification in a General Population: A Retrospective Cohort Analysis

At a Glance

CategoryDetail
Condition
Key Mechanisms
Target PopulationGeneral population, aged 65 and older, specifically focusing on AVC.
Care Setting

Key Highlights

  • Each 1-unit increase in AIP is associated with a 146.0% higher risk of AVC (statistically significant).
  • Higher AIP levels correlate with increased AVC risk across most subgroups (all P < 0.05).

Guideline-Based Recommendations

Diagnosis

    Management

    • Consider AIP levels in the clinical management of AVC, including lifestyle modifications and pharmacotherapy.

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        AIP may provide additional predictive value beyond traditional lipid indicators, particularly in assessing cardiovascular risk.

        Clinical Best Practices

        • Incorporate AIP measurement in routine cardiovascular risk assessments, particularly for patients over 65.

        Related Resources & Content

        Original Source(s)

        The correlation between the atherogenic index of plasma and aortic valve calcification in the general population: a retrospective observational cohort study

        • by Bolun Jiao, Rui Yu, Lei Li, Yangmin Hao, Guoli Du, Sheng Jiang

        • June 4, 2026

        Related Content

        Intracardiac thrombus formations despite continuous oral anticoagulation in atrial fibrillation patients undergoing catheter ablation procedures: pilot development of a machine learning prediction model

        Designing and evaluating large language model-enabled clinical decision support for heart failure: a modular and risk-tiered framework

        Medical Oddities: Prayer for Pain?

        This week’s research collection showed that biology, behavior, and environment often intersect in unexpected ways.