D'Hoore W, Sicotte C, Tilquin C
Université Catholique de Louvain, Faculté de Médecine, Département des Sciences Hospitalières et Médico-Sociales, Bruxelles, Belgium.
Methods Inf Med. 1993 Nov;32(5):382-7.
To measure the burden of comorbid diseases using the MED-ECHO database (Quebec), the so-called Charlson index was adapted to International Classification of Disease (ICD-9) codes. The resulting comorbidity index was applied to the study of inpatient death in a group of 62,456 patients having one of the following conditions: ischemic heart disease, congestive heart failure, stroke, or bacterial pneumonia. Multiple logistic regression was used to relate inpatient death to its predictors, including gender, principal diagnosis, age, and the comorbidity index. Various transformations of the comorbidity score were performed, and their effect on predictive accuracy was assessed. The comorbidity index was constantly and strongly associated with death. When gender, age, comorbidity and the principal diagnoses were taken into account, the area under the receiver-operating curve was 0.83. Therefore, the Charlson Index is a useful approach to risk adjustment in outcomes research from administrative databases.
为了使用MED-ECHO数据库(魁北克)来衡量合并症的负担,所谓的查尔森指数被适配于国际疾病分类(ICD-9)编码。由此得出的合并症指数被应用于对62456例患有以下疾病之一的患者的住院死亡情况的研究:缺血性心脏病、充血性心力衰竭、中风或细菌性肺炎。多因素逻辑回归用于将住院死亡与其预测因素相关联,包括性别、主要诊断、年龄和合并症指数。对合并症评分进行了各种转换,并评估了它们对预测准确性的影响。合并症指数始终与死亡密切相关。当考虑性别、年龄、合并症和主要诊断时,受试者工作特征曲线下面积为0.83。因此,查尔森指数是行政数据库结果研究中进行风险调整的一种有用方法。