Objective: To establish the metabolic evaluation database of urolithiasis, perform metabolic evaluation, and provide instructions for treatment and prevention of urolithiasis. Methods: This metabolic evaluation database was developed by JAVA and was established by Oracle11g database and Browser/Server framework. We extracted the clinical data of all patients who had complete information, and analyzed their risk factors of stone formation, stone-related medical history, blood and urine tests results and 24-hour urine analysis. Results: A total of 360 patients diagnosed as urolithiasis were included in this research. Male to female ratio was 1.9∶1, and the urolithiasis was first diagnosed at (35.5±13.5) years old. Family history was positive in 39.7% of patients. Metabolic syndrome occurred in 35.0% of patients. Overweight or obesity occurred in 73.2% and 50.0% of male patients, respectively. Abdominal obesity in 62.3% and 56.1% of male and female patients, respectively. Among all patients, 67.5% had high urine sodium, 53.6% had hypercalciuria, 41.1% had hypocitraturia, 29.7% had hyperuricosuria, 22.5% had hypomagnesuria, 15.8% had hyperoxaluria, 11.7% had hyperphosphoraturia, and 36.4% had low urinary volume. Conclusions: The prevalence of overweight or obesity, abdominal obesity, hypertension, diabetes, and metabolic syndrome in stone patients were significantly higher than those in general population. The number of 24-hour urinary abnormalities was positively associated with body mass index. The interventions on high urinary sodium, low urinary volume, obesity and metabolic syndrome were important to the treatment of urolithiasis. This database would facilitate the metabolic evaluation, provide evidence for the treatment and prevention of urolithiasis, and lay foundation for finding important controllable risk factors of urinary stone.
目的： 设计建立泌尿系统结石代谢评估数据库，并利用该数据库对患者进行代谢评估及结石防治指导。 方法： 本代谢评估数据库应用JAVA语言开发，使用Oracle11g数据库和浏览器/服务器架构进行构建。本研究从数据库中提取所有临床资料完整患者的相关数据，并对结石危险因素及相关病史、血尿检验及24 h尿检验结果等进行分析。 结果： 共纳入360例明确诊断为结石的患者，男女比例为1.9∶1，患者首次诊断结石时的年龄为（35.5±13.5）岁，结石家族史阳性者占39.7%，代谢综合征占35.0%。男性和女性患者超重或肥胖分别占73.2%和50.0%，腹型肥胖分别占62.3%和56.1%。结石患者存在明显尿液异常，其中高钠尿占67.5%，高钙尿占53.6%，低枸橼酸尿占41.1%，高尿酸尿占29.7%，低镁尿占22.5%，高草酸尿占15.8%，高磷尿占11.7%，低尿量者占36.4%。 结论： 结石患者超重或肥胖、腹型肥胖、高血压、糖尿病、代谢综合征的患病率均明显高于普通人群。对高尿钠、低尿量、肥胖、代谢综合征等结石危险因素的干预是结石治疗的重要手段。该结石代谢评估数据库有助于高效开展结石代谢评估工作，并为结石治疗和预防提供依据。.
Keywords: Database; Metabolic evaluation; Urolithiasis.