Correlation of systemic immune inflammation and serum uric acid with gout: based on NHANES
1Department of Endocrinology, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, Yancheng, China. yanjin1@ycsyy.com.
Objectives:
This study aimed to explore the relationship of systemic immune inflammation index (SII) and uric acid with gout using NHANES 2017-2018 data.
Method:
Data were collected from the 2017-2018 circle of the NHANES database. SII was calculated based on the counts of lymphocytes (LC), neutrophils (NC), and platelets (PC). Data on gout patients were collected from questionnaires. Logistic regression analysis and subgroup analysis were used to explore the relationship between SII and gout.
Results:
A total of 4517 participants were included in the study, with 273 individuals in the gout group and 4244 in the non-gout group. Logistic regression analysis showed that SII and serum uric acid were higher in the gout group than those in the non-gout group. SII ≥ 511.8 and uric acid ≥ 7.0 mg/dL may be positively associated with gout. Further subgroup analysis revealed that the level of SII was positively associated with gout in the female group and the group with eGFR of 60-89.9 mL/min/1.73 m2. Serum uric acid was positively associated with gout in the age, hypertension, hyperglycemia, and male groups and the group with eGFR ≥ 60 mL/min/1.73 m2.
Conclusions:
There are positive correlations of SII and serum uric acid with gout. Our study suggests that SII could be a novel, valuable, and feasible inflammatory marker for gout. Key Points • Gout is a joint disease associated with hyperuricemia. The mechanism of the disease involves multiple complex factors, including metabolic disorders and inflammation. • Systemic immune inflammation index (Sll), as an evaluation index of systemic inflammatory responses, can reflect the body's inflammatory changes when the immune system is continuously activated with chronic inflammation of joints and other tissues. • We used the NHANES database to explore the relationship of SII and uric acid with gout, providing a basis for the diagnosis of gout and prognostic assessment of gout patients.
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