{"title":"Analysis of risk factors for abnormal renal function in patients with gout in Southwest China: a cross-sectional study.","authors":"Ting Zhang, Ziqian Zeng, Dan Xu, Wantai Dang","doi":"10.1093/rap/rkae151","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To analyse the associations between renal function and clinical laboratory indicators and explore the renal function abnormality risk factors for gout patients in Southwest China.</p><p><strong>Methods: </strong>Outpatient and hospitalized gout patients (<i>n</i> = 4384) at the First Affiliated Hospital of Chengdu Medical College between January 2017 and December 2020 were divided into normal (<i>n</i> = 2393) and abnormal (<i>n</i> = 1991) renal function groups according to their eGFR. The relationships between clinical laboratory indicators and the eGFR were analysed, and a logistic regression model was fit to identify significant risk factors.</p><p><strong>Results: </strong>Sex, age, absolute lymphocyte count (ALC), cystatin C (CysC), homocysteine (Hcy) and thyroid stimulating hormone (TSH) were associated with renal function abnormalities (<i>P</i> < 0.05), whereas age [odds ratio (95% CI) = 1.06 (1.05-1.08), <i>P</i> < 0.001], Hcy [1.02 (1.00-1.04), <i>P</i> = 0.028], CysC [1.72 (1.54-1.92), <i>P</i> < 0.001], ALC [0.71 (0.52-0.97), <i>P</i> = 0.03] and TSH [1.08 (1.00-1.17), <i>P</i> = 0.049] were abnormal renal function risk factors for gout patients. After stratification by UA, binary logistic regression analysis identified the following risk factors: Q1 age [1.06 (1.02-1.11), <i>P</i> = 0.003], CysC [1.67 (1.30-2.16), <i>P</i> < 0.001]; Q2 age [1.09 (1.06-1.12), <i>P</i> < 0.001], CysC [1.55 (1.28-1.88), <i>P</i> < 0.001], FT3 [0.66 (0.46-0.96), <i>P</i> = 0.029]; Q3 age [1.06 (1.03-1.09), <i>P</i> < 0.001], CysC [1.75 (1.41-2.18), <i>P</i> < 0.001], Hcy [1.04 (1.00-1.08), <i>P</i> = 0.047], ALC [0.35 (0.18-0.69), <i>P</i> = 0.002]; Q4 age [1.05 (1.02-1.09), <i>P</i> = 0.004], CysC [1.79 (1.40-2.30), <i>P</i> < 0.001].</p><p><strong>Conclusion: </strong>ALC and levels of TSH and serum Cys could be used for monitoring for abnormal renal function in patients with gout.</p>","PeriodicalId":21350,"journal":{"name":"Rheumatology Advances in Practice","volume":"9 1","pages":"rkae151"},"PeriodicalIF":2.1000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11696702/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rheumatology Advances in Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/rap/rkae151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To analyse the associations between renal function and clinical laboratory indicators and explore the renal function abnormality risk factors for gout patients in Southwest China.
Methods: Outpatient and hospitalized gout patients (n = 4384) at the First Affiliated Hospital of Chengdu Medical College between January 2017 and December 2020 were divided into normal (n = 2393) and abnormal (n = 1991) renal function groups according to their eGFR. The relationships between clinical laboratory indicators and the eGFR were analysed, and a logistic regression model was fit to identify significant risk factors.
Results: Sex, age, absolute lymphocyte count (ALC), cystatin C (CysC), homocysteine (Hcy) and thyroid stimulating hormone (TSH) were associated with renal function abnormalities (P < 0.05), whereas age [odds ratio (95% CI) = 1.06 (1.05-1.08), P < 0.001], Hcy [1.02 (1.00-1.04), P = 0.028], CysC [1.72 (1.54-1.92), P < 0.001], ALC [0.71 (0.52-0.97), P = 0.03] and TSH [1.08 (1.00-1.17), P = 0.049] were abnormal renal function risk factors for gout patients. After stratification by UA, binary logistic regression analysis identified the following risk factors: Q1 age [1.06 (1.02-1.11), P = 0.003], CysC [1.67 (1.30-2.16), P < 0.001]; Q2 age [1.09 (1.06-1.12), P < 0.001], CysC [1.55 (1.28-1.88), P < 0.001], FT3 [0.66 (0.46-0.96), P = 0.029]; Q3 age [1.06 (1.03-1.09), P < 0.001], CysC [1.75 (1.41-2.18), P < 0.001], Hcy [1.04 (1.00-1.08), P = 0.047], ALC [0.35 (0.18-0.69), P = 0.002]; Q4 age [1.05 (1.02-1.09), P = 0.004], CysC [1.79 (1.40-2.30), P < 0.001].
Conclusion: ALC and levels of TSH and serum Cys could be used for monitoring for abnormal renal function in patients with gout.