The SingHealth Perioperative and Anesthesia Subject Area Registry (PASAR), a large-scale perioperative data mart and registry.

IF 4.2 4区 医学 Q1 ANESTHESIOLOGY Korean Journal of Anesthesiology Pub Date : 2024-02-01 Epub Date: 2023-11-08 DOI:10.4097/kja.23580
Hairil Rizal Abdullah, Daniel Yan Zheng Lim, Yuhe Ke, Nur Nasyitah Mohamed Salim, Xiang Lan, Yizhi Dong, Mengling Feng
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Abstract

Background: To enhance perioperative outcomes, a perioperative registry that integrates high-quality real-world data throughout the perioperative period is essential. Singapore General Hospital established the Perioperative and Anesthesia Subject Area Registry (PASAR) to unify data from the preoperative, intraoperative, and postoperative stages. This study presents the methodology employed to create this database.

Methods: Since 2016, data from surgical patients have been collected from the hospital electronic medical record systems, de-identified, and stored securely in compliance with privacy and data protection laws. As a representative sample, data from initiation in 2016 to December 2022 were collected.

Results: As of December 2022, PASAR data comprise 26 tables, encompassing 153,312 patient admissions and 168,977 operation sessions. For this period, the median age of the patients was 60.0 years, sex distribution was balanced, and the majority were Chinese. Hypertension and cardiovascular comorbidities were also prevalent. Information including operation type and time, intensive care unit (ICU) length of stay, and 30-day and 1-year mortality rates were collected. Emergency surgeries resulted in longer ICU stays, but shorter operation times than elective surgeries.

Conclusions: The PASAR provides a comprehensive and automated approach to gathering high-quality perioperative patient data.

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SingHealth围手术期和麻醉受试者区域注册中心(PASAR),一个大型围手术期数据集市和注册中心。
背景:为了提高围手术期的结果,在整个围手术期整合高质量真实世界数据的围手术期登记至关重要。新加坡总医院(SGH)建立了围手术期和麻醉受试者区域登记处(PASAR),以统一术前、术中和术后阶段的数据。本研究介绍了创建该数据库所采用的方法。方法:自2016年以来,根据隐私和数据保护法,从医院电子病历系统中收集外科患者的数据(CIRB 2021/2547),并进行身份识别和安全存储。作为代表性样本,收集了2016年启动至2022年12月的数据。结果:截至2022年12月,PASAR数据包括26张表,包括153312名患者入院和168977次手术。在此期间,患者的中位年龄为60.0岁,性别分布平衡,大多数为中国人。高血压和心血管合并症也很普遍。收集包括手术类型和时间、重症监护室(ICU)住院时间、30天和1年死亡率在内的信息。急诊手术延长了ICU的住院时间,但比择期手术缩短了手术时间。结论:PASAR提供了一种全面、自动化的方法来收集高质量的围手术期患者数据。
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来源期刊
CiteScore
6.20
自引率
6.90%
发文量
84
审稿时长
16 weeks
期刊最新文献
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