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作为危重症外科患者预后和疾病严重程度评分的生存概率

Probability of survival as a prognostic and severity of illness score in critically ill surgical patients.

作者信息

Bland R D, Shoemaker W C

出版信息

Crit Care Med. 1985 Feb;13(2):91-5. doi: 10.1097/00003246-198502000-00007.

Abstract

A new quantitative method for measuring the prognosis and severity of illness in terms of probability of survival was developed from 224 studies in an index population of 220 critically ill surgical patients. Patients were selected preoperatively to eliminate pre-existing cardiac disease, cirrhosis, nutritional debility, shock or sepsis, in order to evaluate the physiologic relationships of surgical trauma to outcome free of confounding associated medical disorders. The empirically derived numeric severity index was calculated from the probability of survival for each of 28 hemodynamic and oxygen transport variables at each time period after surgery. The score correctly indicated patient outcome in 96% of the index population and 94% of an independent, prospective population. The survivors' score consistently predicted survival within 21.6 +/- 4.4 (SEM) h after the end of surgery. The severity score of those who died consistently predicted nonsurvival within 37 +/- 11 (SEM) h after the end of surgery. We conclude that the score provides a useful, objective, physiologic measure of the severity of illness and prognosis.

摘要

从对220名重症外科患者的指标人群进行的224项研究中,开发出了一种根据生存概率来测量疾病预后和严重程度的新定量方法。术前对患者进行筛选,以排除既往存在的心脏病、肝硬化、营养衰弱、休克或败血症,以便在不存在相关混杂性内科疾病的情况下评估手术创伤与结局之间的生理关系。根据术后每个时间段28个血流动力学和氧输送变量各自的生存概率,计算出基于经验得出的数值严重程度指数。该评分在96%的指标人群和94%的独立前瞻性人群中正确地表明了患者的结局。幸存者的评分始终能在手术结束后21.6 +/- 4.4(标准误)小时内预测生存情况。死亡者的严重程度评分始终能在手术结束后37 +/- 11(标准误)小时内预测死亡情况。我们得出结论,该评分提供了一种有用的、客观的、基于生理的疾病严重程度和预后测量方法。

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