Khalid A. Al-Nasser, Abdullah Neel, F. Alyami, Khalid M. Al-Barraq, Muaath M. Alsheheli, M. Alomar, Abdulaziz M. Althunayan, S. Binsaleh, R. Almannie
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引用次数: 0
Abstract
Context: Urinary tract stones are a highly prevalent problem affecting public health worldwide. Studying demographic variability in urolithiasis across different geographical areas in terms of prevalence, age, sex, stone composition, climate, and comorbidities can aid in differentiating between varieties of stone types and identifying high-risk populations. Aims: We conducted this study to identify correlations and demonstrate the demographic variability in urinary tract stone cases in Saudi Arabia. Settings and Design: We retrospectively reviewed the data of all patients who underwent stone analysis in our institution between May 2015 and June 2017. Subjects and Methods: We used Fourier transform infrared spectroscopy for stone analysis to analyze the chemical composition of each stone. We recorded the different seasons when the stones were initially analyzed and the demographics of our patients, including age, sex, general comorbidities such as hypertension, diabetes, and other patient-specific comorbidities, and stone type. Statistical Analysis Used: We analyzed our data using the statistical data analysis software IBM SPSS Statistics for Windows, version 25.0 (Armonk, NY, USA: IBM Corp). Results: We divided the ages of the patients into seven distinct age groups (0–14, 15–24, 25–34, 35–44, 45–54, 55–64, and + 65) to easily define and compare the incidence of stones within each age group and between sexes. We divided the year into hot and cold seasons according to the annual climate in Saudi Arabia. We also defined patients' coexisting comorbidities in our results. Conclusion: We found that the incidence of some types of urinary tract stones could be predicted by the presence of chronic illnesses in the middle-aged population in Saudi Arabia.
背景:尿路结石是影响全球公众健康的一个非常普遍的问题。研究不同地理区域尿石症在患病率、年龄、性别、结石成分、气候和合并症方面的人口统计学变异性,有助于区分结石类型的多样性和识别高危人群。目的:我们进行了这项研究,以确定沙特阿拉伯尿路结石病例的相关性并证明其人口统计学变异性。设置和设计:我们回顾性回顾了2015年5月至2017年6月期间在我们机构接受结石分析的所有患者的数据。受试者和方法:采用傅立叶变换红外光谱法对每块结石进行化学成分分析。我们记录了最初分析结石的不同季节以及患者的人口统计数据,包括年龄、性别、高血压、糖尿病等一般合并症和其他患者特有的合并症,以及结石类型。使用的统计分析:我们使用统计数据分析软件IBM SPSS Statistics for Windows 25.0版(Armonk,NY,USA:IBM Corp)分析我们的数据。结果:我们将患者的年龄分为七个不同的年龄组(0-14、15-24、25-34、35-44、45-54、55-64和+65),以方便定义和比较每个年龄组和性别之间的结石发生率。根据沙特阿拉伯的年度气候,我们将一年分为炎热和寒冷两个季节。我们还在研究结果中定义了患者共存的合并症。结论:我们发现,沙特阿拉伯中年人群中慢性疾病的存在可以预测某些类型尿路结石的发病率。