The potential impact of computed tomography coronary calcium score screening on patients with dyslipidemia

Brittany Miles, Bunnarin Theng, Bright O. Etumuse, Atefeh Zeinoddini, Arsalan Saleem

Research output: Contribution to journalArticlepeer-review


Background: Coronary artery calcium (CAC) scoring helps determine whether patients with known coronary artery disease (CAD) should initiate medical management by predicting future cardiac event risk. CAC scoring is underutilized because many insurance companies consider it experimental. This study aimed to determine whether CAC screening of patients at risk for CAD is associated with decreased risk of myocardial infarction and improved survival. Methods: The TriNetX research network was used for this study. Two cohorts of 86,574 patients aged 40 to 70 years were created. All patients were diagnosed with dyslipidemia and without CAD, and the cohorts were matched for demographics, comorbidities, and statin use. One cohort had been screened with CAC scoring while the other had not. The primary outcomes of this study were myocardial infarction and overall survival at 5 years. Results: Screened patients had 44% fewer myocardial infarction events at 5 years with a 76% lower risk of death. Conclusion: CAC scoring is associated with reduced risk of myocardial infarction and death in asymptomatic dyslipidemia patients and should be considered as a screening tool in these patients. The presumed mechanism for improved outcomes is that early identification of CAD results in earlier or more intensive treatment, reducing future cardiac event risk.

Original languageEnglish (US)
Pages (from-to)586-589
Number of pages4
JournalBaylor University Medical Center Proceedings
Issue number5
StatePublished - 2023


  • Cardiac event risk
  • cardiac screening
  • coronary artery calcium scoring
  • coronary artery disease
  • dyslipidemia

ASJC Scopus subject areas

  • General Medicine


Dive into the research topics of 'The potential impact of computed tomography coronary calcium score screening on patients with dyslipidemia'. Together they form a unique fingerprint.

Cite this