Predictors of coronary artery disease in patients with Behçet's disease

Ambarish Pandey, Jalaj Garg, Parasuram Krishnamoorthy, Chandrasekar Palaniswamy, Jay Doshi, Gregg Lanier, Hasan Ahmad

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Background: Behçet's disease (BD) is a multisystem vasculitis of unknown etiology. We aimed to determine the prevalence and predictors of coronary artery disease (CAD) in patients with BD. Methods: All adult patients diagnosed with BD from the National Inpatient Sample database using the International Classification of Diseases 9th revision (ICD-9 code 136.1) during 2009-2010 were included in the analysis. We analyzed the demographics, traditional risk factors, prevalence, and predictors of CAD in patients with BD using ICD-9 codes. Results: The prevalence of BD among adults was 0.006% (n = 2,540) of all in-hospital admissions in the USA. The mean age was 43.9 years, with women (45 years) being older than men (40 years) (p < 0.001). Traditional risk factors prevalent in our study were hypertension (35%), hyperlipidemia (17.4%), diabetes mellitus (13.8%), smoking (13.1%), and obesity (7.2%). The prevalence of CAD was 12.1%. Hypertension (OR = 2.20, p = 0.03) and hyperlipidemia (OR = 2.34, p = 0.02) were found to be independent predictors of CAD in a multimodel regression analysis. Conclusion: In patients with BD, traditional risk factors associated with CAD were similar to what is expected in the overall population. However, the young age of patients with CAD in this population suggests an accelerated course of atherosclerosis in BD.

Original languageEnglish (US)
Pages (from-to)203-206
Number of pages4
JournalCardiology (Switzerland)
Issue number4
StatePublished - Apr 16 2014
Externally publishedYes


  • Arrhythmias
  • Atherosclerosis
  • Behçet's disease
  • Hyperlipidemia
  • Hypertension

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Pharmacology (medical)


Dive into the research topics of 'Predictors of coronary artery disease in patients with Behçet's disease'. Together they form a unique fingerprint.

Cite this