Thickness of carotid artery intima is an independent risk factor for psoriasis.
Neslihan AkdoganPinar Incel UysalMurat VuralAhmet Bokebatur MendiTuba CandarBasak YalcinPublished in: Archives of dermatological research (2020)
Psoriasis (PsO) has been associated with lipoprotein abnormalities, visceral adiposity, atherosclerosis, and coronary artery disease (CAD) in several studies; however, data concerning the risk of psoriasis relevant to these parameters is not well established. We aimed to evaluate the relation between PsO and small dense low-density lipoprotein cholesterol (sd-LDL-C), serum lipid profile (SLP), blood pressures, anthropometric measurements, intima media thickness of the common carotid artery (CIMT), distribution of visceral adipose tissue (VAT; evaluated at 3 different measurement sites including VATa, VATb, VATc) along with subcutaneous (Sc-d1) and preperitoneal (Pre-d2) adipose tissue, and disease characteristics, so as to define relevant risk factors for PsO. In this cross-sectional and observational study, 62 patients with plaque-type PsO and 31 age- and sex-matched controls were enrolled. Data about metabolic profile, CIMT and VAT were obtained. There was a significant association between PsO and hypertension, smoking, diastolic blood pressure, sd-LDL-C/LDL-C ratio, CIMT, VATc, and Pre-d2. Following adjustments for hypertension and smoking, sd-LDL-C/LDL-C ratio, CIMT, and Pre-d2 still remained different between patients and controls (P = 0.03, P = 0.043, and P = 0.05, respectively). Each 0.1 unit increase in the CIMT increased the risk of PsO 1.51-fold (95%CI: 1.08 - 2.12, P = 0.016). PsO associates with a predisposition to develop thick preperitoneal fat tissue and thick intima of carotid arteries, all of which contribute to the increased risk of atherosclerosis and subsequent CAD. CIMT was considered as an independent risk factor for PsO.
Keyphrases
- blood pressure
- coronary artery disease
- adipose tissue
- insulin resistance
- low density lipoprotein
- cross sectional
- end stage renal disease
- cardiovascular disease
- ejection fraction
- hypertensive patients
- electronic health record
- high fat diet
- optical coherence tomography
- cardiovascular risk factors
- newly diagnosed
- chronic kidney disease
- smoking cessation
- heart rate
- percutaneous coronary intervention
- type diabetes
- big data
- coronary artery bypass grafting
- heart failure
- peritoneal dialysis
- patient reported outcomes
- weight loss
- transcatheter aortic valve replacement
- skeletal muscle
- fatty acid
- artificial intelligence
- deep learning