Clinical and experimental rheumatology · 2023
The prevalence and independent risk factors of elevated common carotid artery intima-media thickness and carotid plaque in patients with gout.
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Dang Wantai, Hu Jing, Luo Hui, Luo Danling, Xu Xiaohui, Liu Jian
Аннотация
OBJECTIVES: Gout patients are at high risk of carotid atherosclerosis, which could be convincingly reflected by common carotid artery intima-media thickness (CCAIMT) and carotid plaque. The current study aimed to investigate the prevalence and risk factors of thick CCAIMT and carotid plaque in gout patients.
METHODS: Comprehensive demographic characteristics, chronic comorbidities, disease features, and biochemical indexes (42 parameters) were obtained from 237 gout patients. CCAIMT and carotid plaque were evaluated by bilateral carotid artery ultrasound in gout patients and 80 healthy controls.
RESULTS: The CCAIMT and carotid plaque percentage were increased in gout patients compared to healthy controls (both p<0.001). In detail, the prevalence of thick CCAIMT (>0.9 mm) and carotid plaque was 22.4% and 34.6% in gout patients, respectively. Forward-stepwise multivariate logistic regression model revealed that age (p<0.001, odds ratio (OR)=1.143], disease duration (p=0.001, OR=1.176), alkaline phosphatase (ALP) (p=0.002, OR=1.037), and low-density lipoprotein cholesterol (LDLC) (p=0.039, OR=2.144) were independently associated with elevated thick CCAIMT risk, while serum uric acid (SUA) (p=0.002, OR=0.992) exhibited an opposite trend; their combination well-identified thick CCAIMT risk [area under the curve (AUC)=0.910] by receiver operator characteristic (ROC) curve. Meanwhile, age (p<0001, OR=1.116), tophus (p=0.009, OR=3.523), and triglycerides (TG) (p=0.014, OR=1.323) were independently associated with a higher risk of carotid plaque, while SUA (p=0.008, OR=0.995) showed an opposite trend; their combination also well-identified carotid plaque risk (AUC=0.886) by ROC curve.
CONCLUSIONS: Thick CCAIMT and carotid plaque are prevalent in gout patients, whose occurrence relates to age, disease duration, ALP, LDLC, SUA, TG, and tophus.
METHODS: Comprehensive demographic characteristics, chronic comorbidities, disease features, and biochemical indexes (42 parameters) were obtained from 237 gout patients. CCAIMT and carotid plaque were evaluated by bilateral carotid artery ultrasound in gout patients and 80 healthy controls.
RESULTS: The CCAIMT and carotid plaque percentage were increased in gout patients compared to healthy controls (both p<0.001). In detail, the prevalence of thick CCAIMT (>0.9 mm) and carotid plaque was 22.4% and 34.6% in gout patients, respectively. Forward-stepwise multivariate logistic regression model revealed that age (p<0.001, odds ratio (OR)=1.143], disease duration (p=0.001, OR=1.176), alkaline phosphatase (ALP) (p=0.002, OR=1.037), and low-density lipoprotein cholesterol (LDLC) (p=0.039, OR=2.144) were independently associated with elevated thick CCAIMT risk, while serum uric acid (SUA) (p=0.002, OR=0.992) exhibited an opposite trend; their combination well-identified thick CCAIMT risk [area under the curve (AUC)=0.910] by receiver operator characteristic (ROC) curve. Meanwhile, age (p<0001, OR=1.116), tophus (p=0.009, OR=3.523), and triglycerides (TG) (p=0.014, OR=1.323) were independently associated with a higher risk of carotid plaque, while SUA (p=0.008, OR=0.995) showed an opposite trend; their combination also well-identified carotid plaque risk (AUC=0.886) by ROC curve.
CONCLUSIONS: Thick CCAIMT and carotid plaque are prevalent in gout patients, whose occurrence relates to age, disease duration, ALP, LDLC, SUA, TG, and tophus.