西南地区痛风患者肾功能异常的危险因素分析:一项横断面研究。

IF 2.1 Q3 RHEUMATOLOGY
Rheumatology Advances in Practice Pub Date : 2024-12-20 eCollection Date: 2025-01-01 DOI:10.1093/rap/rkae151
Ting Zhang, Ziqian Zeng, Dan Xu, Wantai Dang
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引用次数: 0

摘要

目的:分析西南地区痛风患者肾功能与临床实验室指标的关系,探讨痛风患者肾功能异常的危险因素。方法:2017年1月~ 2020年12月成都医学院第一附属医院门诊和住院痛风患者4384例,根据eGFR分为正常组(n = 2393)和异常组(n = 1991)。分析临床实验室指标与eGFR之间的关系,并拟合logistic回归模型以确定显著危险因素。结果:性别、年龄、淋巴细胞绝对计数(ALC)、胱抑素C (CysC)、同型半胱氨酸(Hcy)、促甲状腺激素(TSH)与痛风患者肾功能异常相关(P P = 0.028), CysC [1.72 (1.54-1.92), P P = 0.03]、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。经UA分层后,二元logistic回归分析确定以下危险因素:Q1年龄[1.06 (1.02-1.11),P = 0.003], CysC [1.67 (1.30-2.16), P P P = 0.029];第三时代[1.06 (1.03 - -1.09),P P P = 0.047),酒精度[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结论:ALC、TSH、血清Cys水平可用于监测痛风患者肾功能异常。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of risk factors for abnormal renal function in patients with gout in Southwest China: a cross-sectional study.

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.

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来源期刊
Rheumatology Advances in Practice
Rheumatology Advances in Practice Medicine-Rheumatology
CiteScore
3.60
自引率
3.20%
发文量
197
审稿时长
11 weeks
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