Critical care database comprising patients with infection at Zigong Fourth People's Hospital
收藏DataCite Commons2022-06-30 更新2025-04-16 收录
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https://physionet.org/content/icu-infection-zigong-fourth/
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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 chart. These data not only provide infrastructure for daily clinical
practice, but also can help to inform clinical researches. 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, 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.
重症监护病房(Intensive Care Unit, ICU)收治的患者均会接受严密监护与强化治疗。此类高强度的监护与治疗措施,会从电子健康档案(electronic healthcare records)与护理文书(nursing chart)两个维度生成高粒度数据(high-granularity data)。这些数据不仅为日常临床实践搭建了基础支撑框架,还可为临床研究提供关键依据。整合并清洗多源医疗数据在技术层面存在较大挑战。尽管目前已有若干来自西方国家的公开重症监护数据库,但针对中国成人患者的同类数据库仍较为稀缺。本研究构建了一款涵盖感染患者的重症监护数据库,其中多数患者罹患败血症(sepsis)和/或感染性休克(septic shock)。该数据库整合了实验室检查结果、基线特征、用药信息、ICD编码(ICD code)、护理文书及随访结果等高粒度数据,可用于开展多种类型的临床研究。
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PhysioNet创建时间:
2021-08-28
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是自贡市第四人民医院建立的重症监护数据库,专门收集感染患者(包括脓毒症和感染性休克患者)的高粒度医疗数据,如实验室检查结果、基线特征和护理图表。它整合了多源医疗信息,旨在支持临床研究,并填补了中文成人患者重症监护数据库的空白。
以上内容由遇见数据集搜集并总结生成



