Lu Yifan, Lu Chengyin, Chen Pei, Luo Zhiqiang, Li Wangyang, Xiong Hui, Guo Yuxing
Orthopedics Department, The Second Affiliated Hospital of Hunan University of Traditional Chinese Medicine, Changsha, China.
Orthopedics Department, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
Medicine (Baltimore). 2025 Jul 25;104(30):e43566. doi: 10.1097/MD.0000000000043566.
This study aimed to explore the association between the systemic inflammatory response index (SIRI) and the prevalence of gout, hyperuricemia, and serum uric acid (SUA) levels with the help of the National health and nutrition examination survey database. This study analyzed the association of SIRI with SUA levels, hyperuricemia, and gout using National health and nutrition examination survey data for the period 2007 to 2018. We applied smoothed curve fitting to confirm the nonlinear correlation between SIRI and the above indicators and further verified this relationship through threshold effect analysis. In addition, we applied receiver operating characteristic curve analysis to evaluate the validity of SIRI in the diagnosis of hyperuricemia and gout. Including 29,929 adults aged 20 and older, the study found significant positive correlations between SIRI and SUA levels, hyperuricemia, and gout after adjusting for potential confounders. These correlations were consistent in gender-stratified subgroup analyses. Threshold effect analysis revealed an inflection point for SIRI at 1.508 (1000 cells/µL) for gout and 0.529 (1000 cells/µL) for hyperuricemia, with significant positive associations observed up to these points. Receiver operating characteristic analysis confirmed SIRI's diagnostic value for hyperuricemia (area under the curve = 0.5534) and gout (area under the curve = 0.6041). Association between SIRI and SUA levels, prevalence of gout and hyperuricemia. Our study reveals SIRI as an emerging, validated, and convenient composite inflammatory index that may serve as a new indicator for assessing gout and hyperuricemia disease activity in U.S. adults aged 20 years and older.
本研究旨在借助美国国家健康与营养检查调查数据库，探讨全身炎症反应指数（SIRI）与痛风患病率、高尿酸血症及血清尿酸（SUA）水平之间的关联。本研究利用2007年至2018年期间的美国国家健康与营养检查调查数据，分析了SIRI与SUA水平、高尿酸血症及痛风之间的关联。我们应用平滑曲线拟合来确认SIRI与上述指标之间的非线性相关性，并通过阈值效应分析进一步验证这种关系。此外，我们应用受试者工作特征曲线分析来评估SIRI在诊断高尿酸血症和痛风方面的有效性。该研究纳入了29929名20岁及以上的成年人，在对潜在混杂因素进行调整后，发现SIRI与SUA水平、高尿酸血症及痛风之间存在显著正相关。这些相关性在按性别分层的亚组分析中是一致的。阈值效应分析显示，痛风的SIRI拐点为1.508（1000个细胞/微升），高尿酸血症的拐点为0.529（1000个细胞/微升），在这些点之前观察到显著正相关。受试者工作特征分析证实了SIRI对高尿酸血症（曲线下面积 = 0.5534）和痛风（曲线下面积 = 0.6041）的诊断价值。SIRI与SUA水平、痛风和高尿酸血症患病率之间的关联。我们的研究表明，SIRI是一种新出现的、经过验证的且便捷的综合炎症指数，可作为评估20岁及以上美国成年人痛风和高尿酸血症疾病活动的新指标。
