Zhang Ting, Zeng Ziqian, Xu Dan, Dang Wantai
Department of Rheumatology and Immunology, Clinical Medical College, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, PR China.
Department of Epidemiology and Health Statistics, School of Public Health, Chengdu Medical College, Chengdu, Sichuan, PR China.
Rheumatol Adv Pract. 2024 Dec 20;9(1):rkae151. doi: 10.1093/rap/rkae151. eCollection 2025.
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.
Outpatient and hospitalized gout patients ( = 4384) at the First Affiliated Hospital of Chengdu Medical College between January 2017 and December 2020 were divided into normal ( = 2393) and abnormal ( = 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.
Sex, age, absolute lymphocyte count (ALC), cystatin C (CysC), homocysteine (Hcy) and thyroid stimulating hormone (TSH) were associated with renal function abnormalities ( < 0.05), whereas age [odds ratio (95% CI) = 1.06 (1.05-1.08), < 0.001], Hcy [1.02 (1.00-1.04), = 0.028], CysC [1.72 (1.54-1.92), < 0.001], ALC [0.71 (0.52-0.97), = 0.03] and TSH [1.08 (1.00-1.17), = 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), = 0.003], CysC [1.67 (1.30-2.16), < 0.001]; Q2 age [1.09 (1.06-1.12), < 0.001], CysC [1.55 (1.28-1.88), < 0.001], FT3 [0.66 (0.46-0.96), = 0.029]; Q3 age [1.06 (1.03-1.09), < 0.001], CysC [1.75 (1.41-2.18), < 0.001], Hcy [1.04 (1.00-1.08), = 0.047], ALC [0.35 (0.18-0.69), = 0.002]; Q4 age [1.05 (1.02-1.09), = 0.004], CysC [1.79 (1.40-2.30), < 0.001].
ALC and levels of TSH and serum Cys could be used for monitoring for abnormal renal function in patients with gout.
分析肾功能与临床实验室指标之间的关联，探索中国西南地区痛风患者肾功能异常的危险因素。
将成都医学院第一附属医院2017年1月至2020年12月期间门诊及住院的痛风患者（n = 4384）根据估算肾小球滤过率（eGFR）分为肾功能正常组（n = 2393）和肾功能异常组（n = 1991）。分析临床实验室指标与eGFR之间的关系，并建立逻辑回归模型以识别显著危险因素。
性别、年龄、淋巴细胞绝对值（ALC）、胱抑素C（CysC）、同型半胱氨酸（Hcy）和促甲状腺激素（TSH）与肾功能异常相关（P < 0.05），而年龄[比值比（95%可信区间）= 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]和TSH[1.08（1.00 - 1.17），P = 0.049]是痛风患者肾功能异常的危险因素。按尿酸（UA）分层后，二元逻辑回归分析确定了以下危险因素：Q1年龄[1.06（1.02 - 1.11），P = 0.003]，CysC[1.67（1.30 - 2.16），P < 0.001]；Q2年龄[1.09（1.06 - 1.12），P < 0.001]，CysC[1.55（1.28 - 1.88），P < 0.001]，游离三碘甲状腺原氨酸（FT3）[0.66（0.46 - 0.96），P = 0.029]；Q3年龄[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年龄[1.05（1.02 - 1.09），P = 0.004]，CysC[1.79（1.40 - 2.30），P < 0.001]。
ALC以及TSH和血清Cys水平可用于监测痛风患者的肾功能异常。
