Factors Influencing the Serum Uric Acid in Gout with Cerebral Infarction

Abstract

Background. Although the relationship between gout and cardiovascular has been well demonstrated, there is little information about the difference between gout with cerebrovascular disease and cardiovascular disease. In this study, the differences between gout with cerebral infarction (gout+CI) and gout with coronary heart disease (gout+CHD) and related factors that affect serum uric acid (sUA) levels in gout+CI were investigated by a cross-sectional study. Method. The patients from Jiangxi Provincial People’s Hospital with gout+CHD, gout+CI, and gout with coronary heart disease and cerebral infarction (gout+CHD+CI) between 2016 and 2020 were included in this study, and the medical record data were collected and analyzed. Results. We observed significant differences in age, drinking, hypertension, long-term use of diuretics and NSAIDs, sUA, CRE, and blood glucose in patients with gout+CHD and gout+CI. The sUA level was significantly positively correlated with smoking, CRE, and TG in the gout+CI group and was only positively correlated with CRE in the gout+CHD group and the gout+CHD+CI group ( p < 0.05 ). Interestingly, the sUA level was only negatively correlated with the age and gender in the gout+CI group ( p < 0.05 ). After excluding factors with no significant statistical effect, only age, gender, smoking, CRE, and TG were included in the multiple linear regression model. It suggested that smoking, CRE, and TG are positively correlated with the sUA level, while age was negatively correlated with the sUA level. Conclusions. There are many discrepancies in clinical characteristics between gout+CHD patients and gout+CI patients, especially that the factors that affect UA levels are significantly different. The data also suggested that uric acid-lowering therapy may need to be strengthened in the young gout+CI patients with a history of smoking.

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“…As the comparation of demographic data in Table 1, the difference of age among three groups was significant, moreover, we did a partial correlation analysis, which controls the influence of the diagnosis and sex, the result showed that the association between age and UA was significantly negative. The previous study also showed that age was negatively correlated with the UA level 32 . To eliminate the influence of confounding factors, we set the age as covariates when we conducted the comparation.…”