PDF(Pubmed)
Abstract：
We present the INSPIRE dataset, a publicly available research dataset in perioperative medicine, which includes approximately 130,000 surgical operations at an academic institution in South Korea over a ten-year period between 2011 and 2020. This comprehensive dataset includes patient characteristics such as age, sex, American Society of Anesthesiologists physical status classification, diagnosis, surgical procedure code, department, and type of anaesthesia. The dataset also includes vital signs in the operating theatre, general wards, and intensive care units (ICUs), laboratory results from six months before admission to six months after discharge, and medication during hospitalisation. Complications include total hospital and ICU length of stay and in-hospital death. We hope this dataset will inspire collaborative research and development in perioperative medicine and serve as a reproducible external validation dataset to improve surgical outcomes.
摘要：
我们提供了INSPIRE数据集，围手术期医学的公开研究数据集，其中包括2011年至2020年十年期间在韩国一家学术机构进行的约130,000例外科手术。这个全面的数据集包括患者特征，如年龄，性别,美国麻醉医师协会身体状况分类，诊断,手术程序代码,部门,和麻醉类型。数据集还包括手术室中的生命体征，一般病房，和重症监护病房(ICU)，入院前六个月至出院后六个月的实验室结果，住院期间的药物治疗。并发症包括总住院时间和ICU住院时间以及住院死亡。我们希望该数据集将激发围手术期医学的合作研究和开发，并作为可重复的外部验证数据集来改善手术结果。
