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基于树的扫描统计数据来产生药物重定向假设:使用-葡萄糖共运输体-2 抑制剂的测试案例

George S Q Tan^1,2, Judith C Maro³, Shirley V Wang⁴

¹Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia.

American journal of epidemiology

|September 13, 2024

概括

这项研究使用基于树的扫描统计数据为-葡萄糖共传输体-2 抑制剂 (SGLT2i) 产生了新的药物重定向假设. 它确定了18个优先关联,包括慢性病和贫血,用于潜在的SGLT2i重定位.

科学领域:

药理学药理学是指药理学的学科.
数据科学数据科学数据科学
现实世界的证据.

背景情况:

药物重定向研究往往验证现有假设,而不是产生新的假设.
现实世界数据 (RWD) 为药物发现中的假设生成提供了宝贵的资源.
-葡萄糖共传递者-2 抑制剂 (SGLT2i) 是一种具有更广泛治疗应用潜力的药物类别.

研究的目的:

使用基于树的扫描统计数据,为SGLT2抑制剂生成新的药物重定向假设.
根据RWD.确定SGLT2抑制剂的潜在新适应症.
评估基于树的扫描统计数据在药监监测中产生假设的实用性.

主要方法:

在ICD-10-CM等级结果树上使用基于树的扫描统计.
采用了活性比较器,新用户设计,具有SGLT2i和二二酶-4抑制剂 (DPP4i) 发起者的倾向性得分匹配的队列.
分析了来自MerativeTM MarketScan®研究数据库的事件结果,为统计警报设置了调整后的P值值≤0.01.

主要成果:

确定了18个优先关联,包括慢性病 (P=0.0001) 和贫血 (P=0.0001) 的统计学上显著信号.
心力衰竭 (P=0.0167) 被确定为一个潜在的信号,略高于P≤0.01值.
树的大小,扫描水平和临床设置的选择影响了识别的扫描统计数据.

结论:

基于树的扫描统计数据有效地为SGLT2抑制剂产生了新的重新定位假设.
鉴定到的信号与已知的SGLT2抑制剂的适应性一致,并表明了潜在的新疗法用途.
需要对已识别的重定向信号进行进一步验证,强调RWD在药物发现中的价值.

关键词:

药物重新定位是药物重新定位.树木扫描扫描树木数据挖掘 - 数据挖掘药物重新定位药物重新定位药学流行病学药学流行病学现实世界的数据数据.基于树的扫描统计数据.

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