The Surgical Apgar Score Predicts Postoperative ICU Admission
The Surgical Apgar Score Predicts Postoperative ICU Admission
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DOI:
10.1007/s11605-014-2733-8
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发表时间:
2015-03-01
影响因子:
3.2
通讯作者:
Melis, Marcovalerio
中科院分区:
文献类型:
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作者:
Glass, Nina E.;Pinna, Antonio;Melis, Marcovalerio
BackgroundIn the past, many scoring systems have been developed with a goal of predicting perioperative outcomes, including American Society of Anesthesiologists (ASA) class, Physiologic and Operative Severity Score for the Enumeration [sic] of Mortality and Morbidity (POSSUM), Surgical Risk Score, Biochemistry and Haematology Outcome Models, Acute Physiology and Chronic Health Evaluation (APACHE), Cleveland Clinic Foundation Colorectal Cancer Model, the French Association of Surgery’s colorectal scale, and the National Surgical Quality Improvement Program (NSQIP) mortality predictor. 1–5 However, most of these systems are complicated, proprietary, limited (either to preoperative risk or to a single measurement of physiologic variables), and tend to be difficult to implement in the everyday care of patients. For example, the ASA is primarily a frailty index that is simple and widely known but is limited by significant inter-user variability since it does not depend on objective criteria and it does not factor in the patients physiologic condition during the course of their operation. 2 POSSUM uses 12 physiological variables and 6 intraoperative variables to create a score, and because of overprediction of risk in low-risk patients, it has been modified in many ways to try to improve prediction. APACHE and its more recent modifications is a complex and proprietary scoring system that is therefore difficult to use at the bedside.