Bao Erhao, Yang Yang, Jiang Binglei, Wang Ben, Liu Ying, Yang Lin, Xia Long, Zhu Pingyu
Urology Department, Sichuan Provincial People's Hospital East Sichuan Hospital and Dazhou First People's Hospital, Dazhou, China.
Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Front Pharmacol. 2024 Dec 18;15:1377679. doi: 10.3389/fphar.2024.1377679. eCollection 2024.
This research project aimed to identify and analyze the top 30 drugs most commonly associated with kidney stone formation using data from the U.S. Food and Drug Administration's Adverse Event Reporting System (FAERS) database. The study will focus on determining the reported Odds ratio (ROR) and Proportional Report ratio (PRR) of each identified drug to assess its potential risk of contributing to the development of kidney stones in order to effectively manage and reduce the overall burden of kidney stones worldwide.
Kidney stones are a common urinary system disease, and their formation is influenced by multiple factors, including medications, metabolic syndrome, environmental factors, genetic susceptibility, urinary tract abnormalities, and obstructive pathology. Among these factors, medications are an important and clearly defined cause of kidney stone formation. Currently, drug-induced kidney stones account for 1%-2% of all cases of kidney stones. Although the proportion may appears modest, its contribution to the overall prevalence of kidney stones should not be overlooked. The high incidence and frequent recurrence of kidney stones pose significant challenges to prevention efforts. Therefore, a thorough understanding of which medications may trigger stone formation is crucial for effectively managing and reducing the burden of this global health issue.
This study utilized the FDA Adverse Event Reporting System (FAERS) database maintained by the U.S. Food and Drug Administration to extract raw data from 1 January 2010, to 31 March 2024. Duplicate data was removed following the FDA-recommended method. Subsequently, data related to drug-induced kidney stones was extracted by linking the DEMO table, DRUG table, and REAC table using specific primaryid numbers, resulting in a total of 37,781 drug records and 37,027 demographic records. The data was sorted based on the frequency of drug-induced kidney stones, and the top 30 drugs associated with kidney stone formation were selected for analysis. The primary analytical methods employed were disproportionality analyses, calculating the Reporting Odds Ratio (ROR) with its 95% Confidence Interval (CI) and Proportional Reporting Ratio (PRR) to reveal the association between drugs and adverse kidney stone events.
We ranked the 30 most common drugs based on their ROR and PRR values. The three drugs most commonly associated with kidney stones were Atazanavir (ROR 46.35, 95% CI 43-50, PRR 44.9), Topamax (ROR 19.44, 95% CI 17.66-21.40, PRR 19.19), and Prevacid (ROR 12.67, 95% CI 11.62-13.82, PRR 12.57). Drug categories most commonly associated with kidney stones were antiretroviral drugs, proton pump inhibitors, and antiepileptic drugs.
Our research has summarized a list of potential drug categories associated with kidney stones. Clear understanding of the risk and frequency of drug-induced kidney stones caused by specific medications can reduce the likelihood of patients developing the condition. Clinical doctors should keep vigilant during diagnosis and treatment processes, and communicate relevant risk information to patients.
本研究项目旨在利用美国食品药品监督管理局不良事件报告系统(FAERS)数据库的数据,识别和分析与肾结石形成最常相关的30种药物。该研究将着重确定每种已识别药物的报告比值比(ROR)和比例报告比(PRR),以评估其导致肾结石形成的潜在风险,从而有效管理和减轻全球范围内肾结石的总体负担。
肾结石是一种常见的泌尿系统疾病,其形成受多种因素影响,包括药物、代谢综合征、环境因素、遗传易感性、尿路异常和梗阻性病变。在这些因素中,药物是肾结石形成的一个重要且明确的原因。目前,药物性肾结石占所有肾结石病例的1%-2%。尽管这一比例可能看似不高,但其对肾结石总体患病率的影响不应被忽视。肾结石的高发病率和频繁复发给预防工作带来了重大挑战。因此,全面了解哪些药物可能引发结石形成对于有效管理和减轻这一全球健康问题的负担至关重要。
本研究利用美国食品药品监督管理局维护的FDA不良事件报告系统(FAERS)数据库,提取2010年1月1日至2024年3月31日的原始数据。按照FDA推荐的方法去除重复数据。随后,通过使用特定的主键编号链接DEMO表、DRUG表和REAC表,提取与药物性肾结石相关的数据,共得到37781条药物记录和37027条人口统计学记录。根据药物性肾结石的发生频率对数据进行排序,选择与肾结石形成相关的前30种药物进行分析。主要采用的分析方法为不成比例分析,计算报告比值比(ROR)及其95%置信区间(CI)和比例报告比(PRR),以揭示药物与不良肾结石事件之间的关联。
我们根据ROR和PRR值对30种最常见的药物进行了排名。与肾结石最常相关的三种药物是阿扎那韦(ROR 46.35,95% CI 43 - 50,PRR 44.9)、托吡酯(ROR 19.44,95% CI 17.66 - 21.40,PRR 19.19)和兰索拉唑(ROR 12.67,95% CI 11.62 - 13.82,PRR 12.57)。与肾结石最常相关的药物类别是抗逆转录病毒药物、质子泵抑制剂和抗癫痫药物。
我们的研究总结了一份与肾结石相关的潜在药物类别清单。清楚了解特定药物导致药物性肾结石的风险和频率可以降低患者患病的可能性。临床医生在诊断和治疗过程中应保持警惕,并向患者传达相关风险信息。