Harse Janis D, Holman C D'Arcy J
School of Population Health, University of Western Australia, Nedlands.
J Clin Epidemiol. 2005 Nov;58(11):1142-9. doi: 10.1016/j.jclinepi.2005.02.017. Epub 2005 Aug 25.
We examined the predictive validity of Charlson's Index as a tool to measure and adjust for comorbidity in studies of health-related quality of life(HRQOL) outcomes after joint replacement surgery.
SF-36 physical component summary scores were available for a cohort of patients who underwent primary hip or knee replacement surgery at one hospital over a 12-month period. Baseline comorbidity was assessed for the same group of patients using longitudinal hospital morbidity data from the Western Australia Department of Health. The presence or absence of individual conditions was determined, and Charlson's Index scores were calculated for each patient, using varying look-back periods.
In regression analysis, Charlson's Index was a poor predictor of the HRQOL outcome scores, explaining a maximum 1.79% of the variance. In contrast, the presence or absence of a small number of individual conditions together explained between 5% and 7% of the variance.
The findings suggest that Charlson's Index should not be used to adjust for HRQOL outcomes, particularly in this patient group with low levels of serious comorbidity. Alternative methods are needed for use in this context.
我们检验了查尔森指数(Charlson's Index)作为一种工具在关节置换术后健康相关生活质量(HRQOL)结果研究中测量和调整合并症的预测效度。
对于在一家医院接受初次髋关节或膝关节置换手术的一组患者,在12个月期间可获得其SF-36身体成分汇总得分。使用西澳大利亚卫生部的纵向医院发病率数据对同一组患者的基线合并症进行评估。确定个体疾病的存在与否,并使用不同的回顾期为每位患者计算查尔森指数得分。
在回归分析中,查尔森指数对HRQOL结果得分的预测能力较差,最多解释了1.79%的方差。相比之下,少数个体疾病的存在与否共同解释了5%至7%的方差。
研究结果表明,查尔森指数不应被用于调整HRQOL结果,尤其是在这一严重合并症水平较低的患者群体中。在此背景下需要使用替代方法。