Yu Cao1, Xinxin Han1, Xiaoxue Wang1, Yun Zhang1, He Xiao2, Xuejun Zeng3. 1. Department of Family Medicine and Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Complex Severe and Rare Diseases (Peking Union Medical College Hospital), Shuaifuyuan No.1, Dongcheng District, Beijing, 100730, China. 2. Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Complex Severe and Rare Diseases (Peking Union Medical College Hospital), Beijing, 100730, China. 3. Department of Family Medicine and Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, State Key Laboratory of Complex Severe and Rare Diseases (Peking Union Medical College Hospital), Shuaifuyuan No.1, Dongcheng District, Beijing, 100730, China. zxjpumch@126.com.
Abstract
OBJECTIVE: To investigate risk factors of urinary calculi in men with gout. METHOD: A study was conducted at a tertiary hospital in Beijing from October 2016 to January 2020. Male gouty patients were included. Logistic regression was used to establish the association between patients' characteristics and urinary stone disease. A cluster analysis was performed to identify distinct phenotypes of gout based on nine common comorbidities. RESULT: The prevalence of calculi was 23.6% among 454 patients. Longer disease courses and comorbid dyslipidemia were associated with an increased risk of urinary calculi, with an OR of 2.76 (95% CI 1.40-5.64) (p = 0.004) for patients with a disease course of 10 years or longer compared with those with a disease course of gout shorter than 1 year, and an OR of 1.71 (95% CI 1.04-2.88) (p = 0.039) for patients with dyslipidemia. Three clinical phenotypes were recognized. Cluster C1 consists of patients with large body mass index, dyslipidemia, and abnormal liver function. The prevalence of stone was 23.2%. Patients in cluster C2 had fewer comorbidities and the lowest stone risk (13.5%). Cluster C3 had more cardiovascular comorbidities and the highest prevalence of stone (47.1%). CONCLUSION: Longer disease course and dyslipidemia contribute to stone risk in men with gout. Three distinct phenotypes represent distinct pathophysiological mechanisms underlying stone occurrence, which would help us to optimize gout management. Key points • Patients with gout have higher risks for urinary stones. This study found that longer disease courses and comorbid dyslipidemia were associated with an increased risk of urinary calculi in largely untreated young men with uncontrolled gout. • This study reveals three distinct phenotypes of gout based on comorbidities. Among all, the group with more cardiovascular comorbidities has the highest prevalence of stones.
OBJECTIVE: To investigate risk factors of urinary calculi in men with gout. METHOD: A study was conducted at a tertiary hospital in Beijing from October 2016 to January 2020. Male gouty patients were included. Logistic regression was used to establish the association between patients' characteristics and urinary stone disease. A cluster analysis was performed to identify distinct phenotypes of gout based on nine common comorbidities. RESULT: The prevalence of calculi was 23.6% among 454 patients. Longer disease courses and comorbid dyslipidemia were associated with an increased risk of urinary calculi, with an OR of 2.76 (95% CI 1.40-5.64) (p = 0.004) for patients with a disease course of 10 years or longer compared with those with a disease course of gout shorter than 1 year, and an OR of 1.71 (95% CI 1.04-2.88) (p = 0.039) for patients with dyslipidemia. Three clinical phenotypes were recognized. Cluster C1 consists of patients with large body mass index, dyslipidemia, and abnormal liver function. The prevalence of stone was 23.2%. Patients in cluster C2 had fewer comorbidities and the lowest stone risk (13.5%). Cluster C3 had more cardiovascular comorbidities and the highest prevalence of stone (47.1%). CONCLUSION: Longer disease course and dyslipidemia contribute to stone risk in men with gout. Three distinct phenotypes represent distinct pathophysiological mechanisms underlying stone occurrence, which would help us to optimize gout management. Key points • Patients with gout have higher risks for urinary stones. This study found that longer disease courses and comorbid dyslipidemia were associated with an increased risk of urinary calculi in largely untreated young men with uncontrolled gout. • This study reveals three distinct phenotypes of gout based on comorbidities. Among all, the group with more cardiovascular comorbidities has the highest prevalence of stones.
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