Objective: 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.
Methods: 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.
Results: 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.
Conclusion: 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.
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http://dx.doi.org/10.1186/s12891-024-08151-0 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11660823 | PMC |
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