scholarly journals High serum uric acid concentration is a risk factor for radiographic spondyloarthritis: a cross-sectional study

2020 ◽  
Author(s):  
Yupeng Lai ◽  
Yanpeng Zhang ◽  
Zhihao Lei ◽  
Yihong Huang ◽  
Tongxin Ni ◽  
...  

Abstract Background: Cardiovascular disease is a kind of comorbidity of spondyloarthritis (SpA). Hyperuricaemia is a risk factor of cardiovascular disease. Previous SpA study concerning cardiovascular disease and hyperuricaemia found that hyperuricaemia is more prevalent in radiographic SpA. Thus, we evaluated the association of serum uric acid (SUA) concentration and radiographic SpA. Methods: We made use of data from a cross-sectional study in Chinese Shenzhen Second People’s Hospital from 2016 to 2018, which included 202 SpA patients diagnosed by rheumatologists. This study detected the prevalence of comorbidities and risk factors of SpA patients. Using data from this study, we evaluated the association between radiographic images of SpA and SUA concentration. We compared the SUA concentration between radiographic SpA group and non-radiographic SpA group, with logistic regression models. Stratified and interaction analyses were also performed to further confirm the consistence of the relationship. Multiple imputation was used to deal with missing data.Results: This research studied 202 SpA patients’ data including their SUA, sacroiliac images, and other relevant laboratory data. Elevated SUA concentration was found to be associated independently with the increased risk of radiographic SpA after adjusted for confounders. The risk for developing radiographic SpA increased 13% [adjusted odds ratio (OR) = 1·13, 95% confidence interval (CI):(1·05, 1·22), p=0·0014] for per 10umol/L SUA increased. Stratified analyses, interaction analyses and multiple imputation analyses also confirmed the consistence of the association.Conclusions: Based on this Chinese population cross-sectional study, we identify that elevated SUA concentration is a risk factor for developing radiographic SpA.

Author(s):  
Gaurav Singhal ◽  
Shilpa Bhardwaj ◽  
Ashok Kumar Ahirwar ◽  
Harish C. Sharma

Background: Cardiovascular disease (CVD) is the most common cause of death worldwide. The present study was conducted to study uric acid as a potential biomarker in predicting the severity of CVD in terms of vessel involvement.Methods: A cross-sectional study, conducted at Rajiv Gandhi Super Speciality Hospital, Tahirpur, Delhi. A total of 52 consecutive male and female patients age between 30 to 70 years was included in this study. Written informed consent was obtained from all the enrolled patients. Automated analysers were used for the analysis of blood glucose, lipid profile and serum uric acid level. IBM SPSS Statistics (Version 20.0, IBM SPSS, IL, USA) was used for the statistical analyses.Results: In this study, a total of 52 consecutive patients were divided into three groups; single-vessel disease (n=19), double vessel disease (n=19) and triple vessel disease (n=14). Biochemical profile of all the groups was calculated. A group of triple vessel disease patients showing higher amount (164±42 mg/dl) of cholesterol level as compared to the other two groups (157±34 mg/dl). The mean level of serum uric acid levels significantly differed and its mean levels increases as the severity of vessel diseases increases. The receiver operating characteristic curve shows the uric level has 71% sensitivity and 52.5% specificity for detecting the severity of coronary vessel disease.Conclusions: This study demonstrated an increased serum uric acid levels were associated with increased severity of vessel disease, and serum uric acid is an independent risk factor for coronary artery disease.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Nurshad Ali ◽  
Shakil Mahmood ◽  
Farjana Islam ◽  
Shahnaz Rahman ◽  
Tangigul Haque ◽  
...  

2019 ◽  
Vol 12 (4) ◽  
pp. 235-242 ◽  
Author(s):  
Wisit Kaewput ◽  
Charat Thongprayoon ◽  
Ram Rangsin ◽  
Prajej Ruangkanchanasetr ◽  
Tarun Bathini ◽  
...  

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