Investigation of carotid intima-media thickness in patients with schizophrenia

Abstract

Abstract Background Patients with schizophrenia (SCZ) have a higher risk of cardiovascular diseases than the average population. Early diagnosis of SCZ patients with subclinical atherosclerosis is great importance in reducing cardiovascular morbidity and mortality. The aim of this study was to investigate some clinical risk factors for atherosclerosis in patients with SCZ. Methods Fifty-one SCZ patients (20 females, 31 males) and 55 healthy controls (HCs) (25 females, 30 males) were included in the study. Electrocardiography (ECG), lipid parameters, hemogram, and biochemistry values of the participants were taken. Low-density lipoprotein (LDL), high-density lipoprotein (HDL), fasting triglycerides, and total cholesterol were measured. The arrhythmogenic index of plasma (AIP) was analyzed. The recorded right and left carotid intima-media thickness (CIMT) measurements by carotid ultrasonography were scanned. Results QT interval (p = 0.035), CIMT-left (p = 0.008), CIMT-right (p = 0.002), fasting triglyceride (p = 0.005), AIP (p = 0.005) in the SCZ group compared to HCs (< 0.001) was statistically higher, while HDL (p = 0.003) was statistically lower. Smoking rates, QT interval (p = 0.035), CIMT-left (p = 0.008), and CIMT-right (p = 0.002) were significantly higher in the the SCZ group than in the HCs. According to odds ratios, individuals with SCZ have a 6.3-fold higher smoking rate. According to Pearson correlation analysis, CIMT-left was positively correlated with age and QT interval (r = 0.568, p < 0.001 and r = 0.589, p < 0.001, respectively). CIMT-right value was also positively correlated with age and QT interval (r = 0.533, p < 0.001 and r = 0.555, p < 0.001, respectively). QT interval positively and significantly predicted CIMT-left and CIMT-right (p < 0.001, β = 0.549 and p = 0.001 and β = 0.506 accordingly). Conclusion In this study, a close relationship was found between the QT interval and CIMT in SCZ patients. This finding could be valuable for using an easy-to-calculate data such as QT in place of a laborious test such as CIMT.