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基于电子病历的通用数据模型估算钠-葡萄糖共转运蛋白 2 抑制剂相关的生殖器和尿路感染。

Estimation of sodium-glucose cotransporter 2 inhibitor-related genital and urinary tract infections via electronic medical record-based common data model.

机构信息

Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Department of Pathology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.

出版信息

J Clin Pharm Ther. 2021 Aug;46(4):975-983. doi: 10.1111/jcpt.13381. Epub 2021 Feb 10.

Abstract

WHAT IS KNOWN AND OBJECTIVES

In Korea, the side effects of sodium-glucose cotransporter 2 inhibitors (SGLT2i) have not been clearly reported, aside from voluntary reporting. We aimed to develop detection algorithms for SGLT2i-related genital tract infections (GTIs) and urinary tract infections (UTIs) via a common data model (CDM), an electronic medical record-based database for supporting multi-hospital clinical research. We estimated the occurrence of GTIs and UTIs and-by assessing the status of each step of the algorithm-we also aimed to determine how clinicians responded to the SGLT2i-related GTIs and UTIs.

METHODS

We targeted all patients who were prescribed SGLT2i at Catholic University Seoul St. Mary's Hospital and Hallym University Dongtan Sacred Heart Hospital from January 2014 to August 2018. We developed algorithms for detection of SGLT2i-related GTIs or UTIs that divided patients into "most likely," "possibly" or "less likely" categories of GTIs or UTIs. The numbers of patients at each step were extracted.

RESULTS AND DISCUSSION

A total of 4253 patients received their first prescription of SGLT2i. According to the algorithm used in this study, the proportions of "most likely GTI" and "possibly GTI" were 0.9% (37 out of 4253) and 19.4% (826 out of 4253 patients), respectively. Similarly, the proportions of "most likely UTI" and "possibly UTI" were 0.9% (38 out of 4253) and 20.2% (858 out of 4253 patients), respectively. Compared to the various existing prospective studies, both GTIs and UTIs showed lower occurrence among patients who met "most likely" criteria and higher occurrence among those who met "possibly" criteria. When a GTI or UTI occurred or was suspected, the overall rate of discontinuing SGLT2i was 51.8% (1721 out of 3323). Despite a confirmed or suspected GTI and an UTI, 62.8% (1460 out of 2323) and 14.2% (142 out of 1000) of patients continued to take SGLT2i, respectively. The discontinuation rate for suspected GTIs was significantly lower than that for suspected UTIs (37.2% vs. 85.8%, p < 0.001).

WHAT IS NEW AND CONCLUSION

In this study, although the GTIs appeared to have a similar occurrence as UTIs, however, the discontinuation rate of SGLT2i for suspected GTIs was relatively lower. Our study is novel in that we identified how the physicians approached SGLT2i-related GTIs or UTIs at each step in a real-world clinical practice setting. Although we could estimate SGLT2i-related GTIs and UTIs via CDM, we were limited in our ability to accurately detect mild drug side effects via CDM, which lacked data for operational definition.

摘要

已知信息和目的

在韩国,除了自愿报告外,SGLT2i 的副作用尚未明确报道。我们旨在通过一个通用数据模型(CDM)开发用于检测 SGLT2i 相关生殖道感染(GTI)和尿路感染(UTI)的检测算法,该模型是一个支持多医院临床研究的电子病历数据库。我们估计了 GTI 和 UTI 的发生情况,并通过评估算法的每个步骤的状态,我们还旨在确定临床医生如何应对 SGLT2i 相关的 GTI 和 UTI。

方法

我们将所有在 2014 年 1 月至 2018 年 8 月期间在首尔天主教大学圣玛丽医院和翰林大学东潭圣心医院接受 SGLT2i 治疗的患者作为研究对象。我们开发了用于检测 SGLT2i 相关 GTI 或 UTI 的算法,该算法将患者分为 GTI 或 UTI“最有可能”、“可能”或“不太可能”的类别。提取每个步骤的患者数量。

结果和讨论

共有 4253 名患者接受了他们的第一个 SGLT2i 处方。根据本研究中使用的算法,“最有可能 GTI”和“可能 GTI”的比例分别为 0.9%(4253 例中的 37 例)和 19.4%(4253 例中的 826 例)。同样,“最有可能 UTI”和“可能 UTI”的比例分别为 0.9%(4253 例中的 38 例)和 20.2%(4253 例中的 858 例)。与各种现有的前瞻性研究相比,符合“最有可能”标准的患者中 GTI 和 UTI 的发生率均较低,而符合“可能”标准的患者中 GTI 和 UTI 的发生率均较高。当发生或怀疑发生 GTI 或 UTI 时,停止使用 SGLT2i 的总体率为 51.8%(3323 例中的 1721 例)。尽管有确诊或疑似 GTI 和 UTI,但 62.8%(1460 例中的 1423 例)和 14.2%(142 例中的 1000 例)的患者继续服用 SGLT2i。疑似 GTI 的停药率明显低于疑似 UTI(37.2%比 85.8%,p<0.001)。

新发现和结论

在这项研究中,尽管 GTI 似乎与 UTI 具有相似的发生率,但 SGLT2i 对疑似 GTI 的停药率相对较低。我们的研究新颖之处在于,我们确定了在现实临床环境中,医生在每个步骤如何处理 SGLT2i 相关的 GTI 或 UTI。虽然我们可以通过 CDM 估计 SGLT2i 相关的 GTI 和 UTI,但我们受限于通过 CDM 准确检测轻度药物副作用的能力,因为 CDM 缺乏操作定义的数据。

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