Emergency Department, Zigong Fourth People's Hospital, Zigong, China.
Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, China.
Front Public Health. 2022 Mar 17;10:852410. doi: 10.3389/fpubh.2022.852410. eCollection 2022.
Patients treated in the intensive care unit (ICU) are closely monitored and receive intensive treatment. Such aggressive monitoring and treatment will generate high-granularity data from both electronic healthcare records and nursing charts. These data not only provide infrastructure for daily clinical practice but also can help to inform clinical studies. It is technically challenging to integrate and cleanse medical data from a variety of sources. Although there are several open-access critical care databases from western countries, there is a lack of this kind of database for Chinese adult patients. We established a critical care database involving patients with infection. A large proportion of these patients have sepsis and/or septic shock. High-granularity data comprising laboratory findings, baseline characteristics, medications, international statistical classification of diseases (ICD) code, nursing charts, and follow-up results were integrated to generate a comprehensive database. The database can be utilized for a variety of clinical studies. The dataset is fully accessible at PhysioNet(https://physionet.org/content/icu-infection-zigong-fourth/1.0/).
在重症监护病房（ICU）接受治疗的患者会受到密切监测并接受强化治疗。这种积极的监测和治疗将从电子医疗记录和护理图表中生成高粒度数据。这些数据不仅为日常临床实践提供了基础，还有助于为临床研究提供信息。整合和清理来自各种来源的医疗数据在技术上具有挑战性。尽管有几个来自西方国家的开放获取重症监护数据库，但缺乏针对中国成年患者的此类数据库。我们建立了一个涉及感染患者的重症监护数据库。这些患者中有很大一部分患有败血症和/或感染性休克。将包括实验室检查结果、基线特征、药物、国际疾病分类（ICD）代码、护理图表和随访结果在内的高粒度数据整合在一起，生成了一个全面的数据库。该数据库可用于各种临床研究。该数据集可在 PhysioNet（https://physionet.org/content/icu-infection-zigong-fourth/1.0/）上完全访问。
