Coste J, Wasserman D, Venot A
Départment de Biostatistique et d'Informatique Médicale, Achard 7, Hôpital Cochin, Paris, France.
J Clin Epidemiol. 1996 Oct;49(10):1125-31. doi: 10.1016/0895-4356(96)00197-7.
This article describes the methodology of construction and validation of a composite measurement scale (CMS) to predict the risk of death for burned patients, with severity of burn considered as a continuous phenomenon. Three large data sets of burned patients hospitalized in France were analyzed. Logistic regression was used to construct a prognostic model, based on age and initial evaluation of total body surface area burned. The resulting model appears to be a valid clinical tool for predicting the risk of death. In addition, the devised CMS has satisfactory content and construct validity and reliability, and provides a high measurement level (logistic ratio level). Moreover, its simplicity of use (the score is integer based) is appropriate for the daily activities of burn unit physicians, emergency medical technicians, and public health professionals.
本文描述了一种复合测量量表(CMS)的构建方法及其有效性验证,该量表用于预测烧伤患者的死亡风险,其中烧伤严重程度被视为一种连续现象。对法国住院的三组大型烧伤患者数据集进行了分析。基于年龄和烧伤总面积的初始评估,采用逻辑回归构建了一个预后模型。所得模型似乎是一种预测死亡风险的有效临床工具。此外,所设计的CMS具有令人满意的内容效度、结构效度和信度,并提供了较高的测量水平(逻辑比水平)。而且,其使用简便(分数基于整数),适用于烧伤科医生、急救医疗技术人员和公共卫生专业人员的日常工作。