Critical Care Database Comprising Patients With Infection

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 clini...

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Bibliographic Details
Main Authors: Ping Xu (Author), Lin Chen (Author), Yuanfang Zhu (Author), Shuai Yu (Author), Rangui Chen (Author), Wenbin Huang (Author), Fuli Wu (Author), Zhongheng Zhang (Author)
Format: Book
Published: Frontiers Media S.A., 2022-03-01T00:00:00Z.
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100 1 0 |a Ping Xu  |e author 
700 1 0 |a Ping Xu  |e author 
700 1 0 |a Ping Xu  |e author 
700 1 0 |a Lin Chen  |e author 
700 1 0 |a Lin Chen  |e author 
700 1 0 |a Yuanfang Zhu  |e author 
700 1 0 |a Shuai Yu  |e author 
700 1 0 |a Rangui Chen  |e author 
700 1 0 |a Wenbin Huang  |e author 
700 1 0 |a Fuli Wu  |e author 
700 1 0 |a Zhongheng Zhang  |e author 
700 1 0 |a Zhongheng Zhang  |e author 
700 1 0 |a Zhongheng Zhang  |e author 
245 0 0 |a Critical Care Database Comprising Patients With Infection 
260 |b Frontiers Media S.A.,   |c 2022-03-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2022.852410 
520 |a 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/). 
546 |a EN 
690 |a critical care 
690 |a database 
690 |a open access 
690 |a infections 
690 |a big data and analytics 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 10 (2022) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2022.852410/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/1a377cd05ef24b2595f9e29fc632923c  |z Connect to this object online.