Li Hua-Nan, Liu Jing, Shao Zichen, Xiong Wei, Cheng Ling
Scientific Research Department, Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang City, Jiangxi Province, 330006, China.
School of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang City, Jiangxi Province, 330004, China.
BMC Musculoskelet Disord. 2024 Dec 20;25(1):1054. doi: 10.1186/s12891-024-08151-0.
This study aims to investigate the diagnostic, biochemical, and hematological characteristics of patients with gouty arthritis and analyze their correlations with baseline characteristics to guide clinical practice, develop personalized treatment strategies, and improve patient outcomes.
A single-center retrospective analysis was conducted on 8,344 patients with acute gouty arthritis admitted to our hospital between January 2014 and December 2023. Baseline characteristics and laboratory data, including uric acid, blood glucose, triglycerides, total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatinine, erythrocyte sedimentation rate (ESR), high-sensitivity C-reactive protein (hs-CRP), C-reactive protein (CRP), white blood cell count, neutrophil count, lymphocyte count, monocyte count, fibrinogen, and serum albumin, were collected. General linear and Pearson correlation analyses were performed to identify significant relationships.
Significant correlations were observed between baseline characteristics (age, body mass index (BMI), smoking, and drinking status) and uric acid levels. High uric acid levels were positively correlated with inflammatory markers (hs-CRP, white blood cell count, and neutrophil count) and metabolic indicators (triglycerides, LDL-C, and creatinine) but negatively correlated with HDL-C. Notable differences in blood and biochemical indicators were identified across age, gender, and BMI groups.
This study highlights key laboratory characteristics of gouty arthritis, emphasizing the need for individualized treatment strategies. Comprehensive interventions focusing on managing inflammation and metabolic disturbances in patients with elevated uric acid levels are critical for optimizing prognosis and improving quality of life.
本研究旨在调查痛风性关节炎患者的诊断、生化和血液学特征，并分析它们与基线特征的相关性，以指导临床实践、制定个性化治疗策略并改善患者预后。
对2014年1月至2023年12月期间我院收治的8344例急性痛风性关节炎患者进行单中心回顾性分析。收集基线特征和实验室数据，包括尿酸、血糖、甘油三酯、总胆固醇、低密度脂蛋白胆固醇（LDL-C）、高密度脂蛋白胆固醇（HDL-C）、丙氨酸氨基转移酶（ALT）、天冬氨酸氨基转移酶（AST）、肌酐、红细胞沉降率（ESR）、高敏C反应蛋白（hs-CRP）、C反应蛋白（CRP）、白细胞计数、中性粒细胞计数、淋巴细胞计数、单核细胞计数、纤维蛋白原和血清白蛋白。进行一般线性分析和Pearson相关性分析以确定显著关系。
观察到基线特征（年龄、体重指数（BMI）、吸烟和饮酒状况）与尿酸水平之间存在显著相关性。高尿酸水平与炎症标志物（hs-CRP、白细胞计数和中性粒细胞计数）以及代谢指标（甘油三酯、LDL-C和肌酐）呈正相关，但与HDL-C呈负相关。在年龄、性别和BMI组之间确定了血液和生化指标的显著差异。
本研究突出了痛风性关节炎的关键实验室特征，强调了个性化治疗策略的必要性。针对尿酸水平升高患者的炎症和代谢紊乱进行综合干预对于优化预后和提高生活质量至关重要。
