Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database.
Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database.
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DOI：
10.1097/ccm.0b013e31820a92c6
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发表时间：
2011-05
影响因子：
8.8
通讯作者：
Mark RG
中科院分区：
文献类型：
--
作者：
Saeed M;Villarroel M;Reisner AT;Clifford G;Lehman LW;Moody G;Heldt T;Kyaw TH;Moody B;Mark RG
我们试图开发一个重症监护病房研究数据库，应用自动化技术来收集来自大量不同人群的成人重症监护病房患者的高分辨率诊断和治疗数据。这个免费提供的数据库旨在支持重症监护医学的流行病学研究，并作为评估新的临床决策支持和监测算法的资源。数据收集和回顾分析。所有成人重症监护病房(内科重症监护病房、外科重症监护病房、心脏重症监护病房、心脏手术恢复室)。2001至2007年间，成年患者住进重症监护室。没有。重症监护病房多参数智能监护II(MIMIC-II)数据库包含25,328个重症监护病房。调查人员收集了有关重症监护病房患者住院的详细信息，包括实验室数据、治疗干预概况(如血管活性药物滴注率和呼吸机设置)、护理进度记录、出院摘要、放射学报告、提供者订单条目数据、国际疾病分类、第9版修订代码，以及对于部分患者的高分辨率生命体征趋势和波形。数据被自动识别，以符合健康保险携带和责任法案标准，并与关系数据库软件集成，为每次住院的患者创建电子重症监护病房记录。2010年2月，通过因特网免费提供了这些数据以及详细的用户指南和各种数据处理工具。住院总死亡率为11.7%，不同重症监护室的死亡率不同。重症监护病房住院时间的中位数为2.2天(四分位数范围为1.1-4.4天)。根据《国际疾病基本分类》第9版修订代码，下列疾病类别至少占病例记录的5%：循环系统疾病(39.1%)；创伤(10.2%)；消化系统疾病(9.7%)；肺部疾病(9.0%)；传染病(7.0%)；肿瘤(6.8%)。MIMIC-II记录了各种和非常大的重症监护病房患者住院人数，并包含全面和详细的临床数据，包括生理波形和记录子集的每分钟趋势。它为危重护理研究建立了一个新的公共获取资源，支持横跨流行病学、临床决策规则开发和电子工具开发的各种分析研究。
We sought to develop an intensive care unit research database applying automated techniques to aggregate high-resolution diagnostic and therapeutic data from a large, diverse population of adult intensive care unit patients. This freely available database is intended to support epidemiologic research in critical care medicine and serve as a resource to evaluate new clinical decision support and monitoring algorithms. Data collection and retrospective analysis. All adult intensive care units (medical intensive care unit, surgical intensive care unit, cardiac care unit, cardiac surgery recovery unit) at a tertiary care hospital. Adult patients admitted to intensive care units between 2001 and 2007. None. The Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database consists of 25,328 intensive care unit stays. The investigators collected detailed information about intensive care unit patient stays, including laboratory data, therapeutic intervention profiles such as vasoactive medication drip rates and ventilator settings, nursing progress notes, discharge summaries, radiology reports, provider order entry data, International Classification of Diseases, 9th Revision codes, and, for a subset of patients, high-resolution vital sign trends and waveforms. Data were automatically deidentified to comply with Health Insurance Portability and Accountability Act standards and integrated with relational database software to create electronic intensive care unit records for each patient stay. The data were made freely available in February 2010 through the Internet along with a detailed user’s guide and an assortment of data processing tools. The overall hospital mortality rate was 11.7%, which varied by critical care unit. The median intensive care unit length of stay was 2.2 days (interquartile range, 1.1–4.4 days). According to the primary International Classification of Diseases, 9th Revision codes, the following disease categories each comprised at least 5% of the case records: diseases of the circulatory system (39.1%); trauma (10.2%); diseases of the digestive system (9.7%); pulmonary diseases (9.0%); infectious diseases (7.0%); and neoplasms (6.8%). MIMIC-II documents a diverse and very large population of intensive care unit patient stays and contains comprehensive and detailed clinical data, including physiological waveforms and minute-by-minute trends for a subset of records. It establishes a new public-access resource for critical care research, supporting a diverse range of analytic studies spanning epidemiology, clinical decision-rule development, and electronic tool development.