Original Article

Association between Cardiovascular Risk Factors and High-risk Features in Myocardial Perfusion Imaging: A Multicenter Study

Abstract

Background: Myocardial perfusion imaging (MPI) is a noninvasive method with acceptable sensitivity and specificity in diagnosing coronary artery disease (CAD) in moderate-risk patients, including those with CAD risk factors.
Methods: The present cross-sectional, prospective study was conducted on 4886 patients from April 2020 through March 2023 at Chamran and Tehran Heart Center hospitals. A questionnaire regarding anthropometric variables, demographic characteristics, CAD risk factors, and MPI findings was designed.
Results: Totally, 2179 patients (44.6%) had abnormal MPI. Patients with abnormal MPI were significantly older than those with normal MPI. Older age (OR, 1.64; 95% CI, 1.2 to 1.72; P<0.001), diabetes mellitus (DM) (OR, 1.36; 95% CI, 1.1 to 1.48; P=0.012), hypertension (OR, 1.24; 95% CI, 1.04 to 1.37; P=0.032), and dyslipidemia (OR, 1.54; 95% CI, 1.25 to 1.8; P<0.001) were associated with abnormal MPI independently. Patients with more CAD risk factors were more likely to have abnormal MPI. Thus, in patients without or at most with 1 risk factor and those with 8 CAD risk factors, the likelihood of abnormal MPI was 3.7% and 76.2%, respectively. The frequency of left ventricular dilation and right ventricular prominence was significantly higher in patients with older age (P<0.001 and P=0.043, respectively), dyslipidemia (P<0.001 and P=0.007, respectively), DM (P<0.001 and P<0.001, respectively), and hypertension (P=0.048 and P=0.057, respectively).
Conclusion: Individuals with CAD risk factors, especially those with older age, DM, hypertension, or dyslipidemia, require meticulous attention during CAD evaluation, particularly via MPI.

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IssueVol 18 No 2 (2023): J Teh Univ Heart Ctr QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/jthc.v18i2.13323
Keywords
Myocardial perfusion imaging Coronary artery disease Risk factor

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How to Cite
1.
Khederlou H, Mohammadi A, Tajik M, Kazemshiroodi M. Association between Cardiovascular Risk Factors and High-risk Features in Myocardial Perfusion Imaging: A Multicenter Study. J Tehran Heart Cent. 2023;18(2):129-135.