학술논문
Severity of Illness and Predictive Models in Society of Critical Care Medicine's First 50 Years: A Tale of Concord and Conflict.
Document Type
Journal Article
Source
Subject
*CRITICAL care medicine
*VITAL signs
*PREDICTION models
*MEDICAL sciences
*APACHE (Disease classification system)
*CORONARY artery bypass
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Language
ISSN
0090-3493
Abstract
SAPS 3 included patients from 307 adult ICUs in 35 countries, but data collection took place over a mere 2 months, which resulted in a cohort of just 19,577 admissions for analysis: a mean of 539 patients per country, or 64 per ICU. Keywords: Acute Physiology and Chronic Health Evaluation; critical care outcomes; mortality probability model; predictive models; scoring systems EN Acute Physiology and Chronic Health Evaluation critical care outcomes mortality probability model predictive models scoring systems 728 740 13 04/21/21 20210501 NES 210501 When the Society of Critical Care Medicine (SCCCM) was established in 1970, it was recognized that the volume and complexity of data from admissions to acute care hospitals exceeded the human capability to process it. New outcomes included were ICU mortality, a patient's anticipated ICU length of stay, duration of mechanical ventilation, identifying low-risk monitor patients, along with daily predictions of mortality for individual patients ([14], [15]). Indeed, the transfer of extremely high-risk patients from ICUs in rural hospitals to ICUs in academic centers was accepted practice ([2]). [Extracted from the article]