Predictive Tools for the Presence of Significant Coronary Artery Disease Requiring Intervention in Chronic

Thana Thongsricome1,2, Sarawut Siwamogsatham3, Weerapat Kositanurit1

  • 1Department of Physiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Seminars in Dialysis
|August 24, 2026
PubMed

Insights

Chest pain outside of hemodialysis (HD) sessions and regional wall motion abnormalities (RWMA) on echocardiograms can help identify coronary artery disease (CAD) in HD patients. These findings aid in prioritizing at-risk individuals for specialist evaluation.

Area of Science:

  • Nephrology
  • Cardiology
  • Diagnostic Medicine

Background:

  • Hemodialysis (HD) patients exhibit elevated cardiovascular risk.
  • Coronary artery disease (CAD) presentation can be atypical in HD patients due to fluid and electrolyte fluctuations.
  • Accurate CAD identification in HD patients is challenging but crucial.

Purpose of the Study:

  • To evaluate the accuracy of diagnostic findings in identifying significant coronary artery disease (CAD) in hemodialysis (HD) patients.
  • To identify specific clinical and echocardiographic factors that discriminate between HD patients with and without significant CAD.

Main Methods:

  • Retrospective review of medical records for HD patients undergoing coronary angiography (CAG).
  • A discovery cohort (n=108) was used to identify predictive factors for CAD.
  • A validation cohort (n=41) was used to confirm the findings.

Main Results:

  • Chest pain occurring outside of dialysis sessions was associated with significant CAD (OR 3.281).
  • Regional wall motion abnormality (RWMA) on echocardiogram significantly predicted CAD (OR 2.579).
  • Specific troponin T levels and percent change showed moderate predictive value, with combined predictors achieving 100% specificity but low sensitivity in validation.

Conclusions:

  • Intradialytic symptoms are often non-cardiac; however, chest pain outside dialysis warrants cardiac investigation.
  • RWMA and specific cardiac enzyme thresholds can help stratify HD patients for CAD risk.
  • These findings can guide timely cardiologist referrals for at-risk HD patients.
Abstract

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