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全身麻醉的多中心研究。III. 围手术期严重不良结局的预测因素。

Multicenter study of general anesthesia. III. Predictors of severe perioperative adverse outcomes.

作者信息

Forrest J B, Rehder K, Cahalan M K, Goldsmith C H

机构信息

McMaster University, Hamilton, Ontario.

出版信息

Anesthesiology. 1992 Jan;76(1):3-15. doi: 10.1097/00000542-199201000-00002.

Abstract

Little information is available about the incidence of severe adverse outcomes, and even less information is available about the identification and quantification of independent predictors of severe perioperative adverse outcomes. The purpose of this study was to identify and quantitate independent predictors of severe perioperative adverse outcomes in a prospective randomized clinical trial of general anesthesia in 17,201 patients. Twenty-nine prognostic variables for 15 severe outcomes in 847 patients were tested by multiple stepwise logistic regressions from which 20 significant (P less than 0.05) predictors were identified. A history of cardiac failure or myocardial infarction less than or equal to 1 yr; ASA physical status 3 or 4; age greater than 50 yr; cardiovascular, thoracic, abdominal or neurologic surgery; and the study anesthetics were significant predictors of "any severe outcome, including death." There were 17 significant predictors for 10 severe cardiovascular outcomes in 608 patients, including a history of ventricular arrhythmia, hypertension, cardiac failure, myocardial ischemia, myocardial infarction less than or equal to 1 yr or myocardial infarction greater than 1 yr, and smoking; ASA physical status; age; cardiovascular, thoracic, abdominal, eyes-ears-nose-throat/endocrine, neurologic, musculoskeletal, or gynecologic surgery; and the study anesthetics. There were 9 significant predictors for 4 severe respiratory outcomes in 163 patients, including a history of cardiac failure, myocardial ischemia, or chronic obstructive pulmonary disease; obesity; smoking; male gender; ASA physical status; abdominal surgery; and the study anesthetics. Colinearity between related prognostic variables (such as disease and ASA physical status) was assessed using progressively segregated groups of variables in eight stepwise logistic regressions. We conclude that the comprehensive stepwise logistic regression of 29 prognostic variables reported here provides a valid estimate of the risks of severe perioperative outcomes associated with general anesthesia.

摘要

关于严重不良后果的发生率,可获取的信息很少;而关于严重围手术期不良后果的独立预测因素的识别和量化,可获取的信息则更少。本研究的目的是在一项针对17201例患者的全身麻醉前瞻性随机临床试验中,识别和量化严重围手术期不良后果的独立预测因素。通过多步逻辑回归分析,对847例患者的15种严重后果的29个预后变量进行了测试,从中识别出20个显著(P<0.05)预测因素。心力衰竭或心肌梗死病史小于或等于1年;美国麻醉医师协会(ASA)身体状况分级为3或4级;年龄大于50岁;心血管、胸、腹或神经外科手术;以及所研究的麻醉药物,是“任何严重后果,包括死亡”的显著预测因素。在608例患者中,有17个显著预测因素与10种严重心血管后果相关,包括室性心律失常、高血压、心力衰竭、心肌缺血、心肌梗死病史小于或等于1年或大于1年,以及吸烟;ASA身体状况分级;年龄;心血管、胸、腹、眼耳鼻喉/内分泌、神经、肌肉骨骼或妇科手术;以及所研究的麻醉药物。在163例患者中,有9个显著预测因素与4种严重呼吸后果相关,包括心力衰竭、心肌缺血或慢性阻塞性肺疾病病史;肥胖;吸烟;男性;ASA身体状况分级;腹部手术;以及所研究的麻醉药物。在八步逻辑回归分析中,使用逐步分离的变量组评估相关预后变量(如疾病和ASA身体状况分级)之间的共线性。我们得出结论,本文报道的对29个预后变量进行的综合逐步逻辑回归分析,为全身麻醉相关的严重围手术期后果的风险提供了有效的估计。

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