Department of Medicine, Queen's University, Kingston, ON, Canada.
Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada.
Crit Care Med. 2020 Dec;48(12):1737-1743. doi: 10.1097/CCM.0000000000004633.
The eICU Collaborative Research Database is a publicly available repository of granular data from more than 200,000 ICU admissions. The quantity and variety of its entries hold promise for observational critical care research. We sought to understand better the data available within this resource to guide its future use.
We conducted a descriptive analysis of the eICU Collaborative Research Database, including patient, practitioner, and hospital characteristics. We investigated the completeness of demographic and hospital data, as well as those values required to calculate an Acute Physiology and Chronic Health Evaluation score. We also assessed the rates of ventilation, intubation, and dialysis, and looked for potential errors in the vital sign data.
American ICUs that participated in the Philips Healthcare eICU program between 2014 and 2015.
A total of 139,367 individuals who were admitted to one of the 335 participating ICUs between 2014 and 2015.
None.
Most encounters were from small- and medium-sized hospitals, and managed by nonintensivists. The median ICU length of stay was 1.57 days (interquartile range, 0.82-2.97 d). The median Acute Physiology and Chronic Health Evaluation IV-predicted ICU mortality was 2.2%, with an observed mortality of 5.4%. Rates of ventilation (20-33%), intubation (15-24%), and dialysis (3-5%) varied according to the query method used. Most vital sign readings fell into realistic ranges, with manually curated data less likely to contain implausible results than automatically entered data.
Data in the eICU Collaborative Research Database are for the most part complete and plausible. Some ambiguity exists in determining which encounters are associated with various interventions, most notably mechanical ventilation. Caution is warranted in extrapolating findings from the eICU Collaborative Research Database to larger ICUs with higher acuity.
eICU 协作研究数据库是一个公共可用的存储库，包含来自 20 多万例 ICU 入住患者的详细数据。其数据的数量和种类为观察性重症监护研究提供了希望。我们试图更好地了解该资源中可用的数据，以指导其未来的使用。
我们对 eICU 协作研究数据库进行了描述性分析，包括患者、医生和医院特征。我们调查了人口统计学和医院数据的完整性，以及计算急性生理学和慢性健康评估评分所需的值。我们还评估了通气、插管和透析的比率，并寻找生命体征数据中的潜在错误。
参加 2014 年至 2015 年飞利浦医疗保健 eICU 计划的美国 ICU。
2014 年至 2015 年间入住 335 家参与 ICU 中的 139367 人。
无。
大多数就诊来自中小医院，由非重症监护医生管理。ICU 中位住院时间为 1.57 天（四分位距，0.82-2.97 d）。急性生理学和慢性健康评估 IV 预测 ICU 死亡率为 2.2%，实际死亡率为 5.4%。通气（20%-33%）、插管（15%-24%）和透析（3%-5%）的比率根据使用的查询方法而有所不同。大多数生命体征读数处于合理范围，人工管理的数据比自动输入的数据不太可能包含不合理的结果。
eICU 协作研究数据库中的数据在大多数情况下是完整和合理的。在确定哪些就诊与各种干预措施相关方面存在一些模糊性，尤其是机械通气。在将 eICU 协作研究数据库中的发现推断到大的、更严重的 ICU 时，需要谨慎。
