Librero J, Peiró S, Ordiñana R
Instituto Valenciano de Estudios en Salud Pública, Valencia, Spain.
J Clin Epidemiol. 1999 Mar;52(3):171-9. doi: 10.1016/s0895-4356(98)00160-7.
This article evaluates the behavior of an adaptation of the Charlson Index (CHI) applied to administrative databases to measure the relationship between chronic comorbidity and the hospital care outcomes of length of stay (LOS), in-hospital mortality, and emergency readmissions at 30 and 365 days. These outcomes were analyzed in 106,673 hospitalization episodes whose records are registered in a minimum basic data set maintained by the public health authorities of the community of Valencia, Spain. The highest comorbidity measured by the CHI was associated with greater LOS and in-hospital mortality and increased readmission at 30 and 365 days. The rate of readmissions at 1 year dropped, however, in the group with the greatest comorbidity, probably owing to an increase in mortality after hospitalization. While comorbidity does appear to increase the risk of adverse outcomes in general and mortality and readmission specifically, the second outcome is only possible if the first has not occurred. For this reason, information and selection biases derived from administrative databases, or from the CHI itself, should be taken into account when using and interpreting the index.
本文评估了应用于行政数据库的查尔森指数(CHI)改编版的行为,以衡量慢性共病与住院时间(LOS)、院内死亡率以及30天和365天急诊再入院等医院护理结果之间的关系。在西班牙巴伦西亚社区公共卫生当局维护的最低基本数据集中登记了记录的106,673次住院事件中分析了这些结果。CHI衡量的最高共病与更长的住院时间、院内死亡率以及30天和365天再入院率增加相关。然而,在共病程度最高的组中,1年再入院率下降,这可能是由于住院后死亡率增加。虽然共病总体上似乎会增加不良结局的风险,特别是死亡率和再入院率,但只有在第一个结局未发生的情况下,第二个结局才有可能。因此,在使用和解释该指数时,应考虑行政数据库或CHI本身产生的信息和选择偏差。