Prediction of rate and severity of adverse perioperative outcomes: "normal accidents" revisited.

Albert J Saubermann, Robert S Lagasse
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引用次数: 12

Abstract

The American Society of Anesthesiologists Physical Status classification system has been shown to predict the frequency of perioperative morbidity and mortality despite known subjectivity, inconsistent application, and exclusion of many perioperative confounding variables. The authors examined the relationship between the American Society of Anesthesiologists Physical Status and both the frequency and the severity of adverse events over a 10-year period in an academic anesthesiology practice. The American Society of Anesthesiologists Physical Status is predictive of not only the frequency of adverse perioperative events, but also the severity of adverse events. These nonlinear mathematical relationships can provide meaningful information on performance and risk. Calculated odds ratios allow discussion about individualized anesthesia risks based on the American Society of Anesthesiologists Physical Status because the added complexity of the surgical or diagnostic procedure, and other perioperative confounding variables, is indirectly factored into the Physical Status classification. The ability of the American Society of Anesthesiologists Physical Status to predict adverse outcome frequency and severity in a nonlinear relationship can be fully explained by applying the Normal Accident Theory, a well-known theory of system failure that relates the interactive complexity of system components to the frequency and the severity of system failures or adverse events.

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预测围手术期不良结果的发生率和严重程度:“正常事故”的重新审视。
美国麻醉医师协会的身体状态分类系统已被证明可以预测围手术期发病率和死亡率的频率,尽管存在已知的主观性、不一致的应用以及排除了许多围手术期混杂变量。作者调查了美国麻醉师协会的身体状况与十年来麻醉学学术实践中不良事件的频率和严重程度之间的关系。美国麻醉医师协会的身体状况不仅可以预测围手术期不良事件的发生频率,还可以预测不良事件的严重程度。这些非线性数学关系可以提供有关性能和风险的有意义的信息。计算出的优势比可以根据美国麻醉医师协会的身体状况来讨论个体化麻醉风险,因为手术或诊断过程的复杂性,以及其他围手术期的混杂变量,都间接地影响到身体状况分类。美国麻醉师物理状态学会预测非线性不良后果频率和严重程度的能力可以通过应用正常事故理论来充分解释,正常事故理论是一个众所周知的系统故障理论,将系统组件的交互复杂性与系统故障或不良事件的频率和严重程度联系起来。
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来源期刊
Mount Sinai Journal of Medicine
Mount Sinai Journal of Medicine 医学-医学:内科
自引率
0.00%
发文量
1
审稿时长
6-12 weeks
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