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Charlson 和 Rx-Risk 合并症指数可预测澳大利亚医疗保健环境中的死亡率。

Charlson and Rx-Risk comorbidity indices were predictive of mortality in the Australian health care setting.

机构信息

Quality Use of Medicines and Pharmacy Research Centre, Sansom Institute for Health Research, University of South Australia, Adelaide, SA 5001, Australia.

出版信息

J Clin Epidemiol. 2011 Feb;64(2):223-8. doi: 10.1016/j.jclinepi.2010.02.015. Epub 2010 Jun 17.

Abstract

OBJECTIVE

To compare the performance of Charlson index and Rx-Risk score using data from Australian Department of Veterans' Affairs.

STUDY DESIGN AND SETTING

A study of older adults (N=94,714) who had both Charlson and Rx-Risk scores based on their hospital diagnoses and prescription medication dispensings during the baseline year (January 2005-December 2005). Predictive ability of 1-year and 3-year mortality was compared by Akaike information criterion model fit statistic and c statistic in logistic regression models. We also compared the scores for identifying specific medical conditions.

RESULTS

Both indices were significant predictors of all-cause mortality (P<0.0001). Of the population identified with a condition from either score, Rx-Risk score identified more than 95% of patients with gastric, respiratory, or cardiovascular condition, compared with Charlson index only identifying 2%, 31%, and 14%, respectively. The indices were comparable regarding diabetes. The Charlson index identified 83% of patients with dementia and 67% of those with cancers, whereas Rx-Risk score identified 38% and 43%, respectively.

CONCLUSION

Both the Charlson and Rx-Risk scores predict mortality, but neither index identified all comorbidities. Based on data availability, preferences, and research purposes, investigators can use either Charlson index or Rx-Risk score to adjust for comorbidity.

摘要

目的

利用澳大利亚退伍军人事务部的数据比较 Charlson 指数和 Rx-Risk 评分的性能。

研究设计与设置

一项对老年人(N=94714)的研究,他们在基线年(2005 年 1 月至 2005 年 12 月)根据他们的住院诊断和处方药物配药既有 Charlson 评分又有 Rx-Risk 评分。通过逻辑回归模型中的 Akaike 信息准则模型拟合统计量和 c 统计量比较了 1 年和 3 年死亡率的预测能力。我们还比较了识别特定医疗条件的评分。

结果

两种指数都是全因死亡率的显著预测因子(P<0.0001)。在两种评分中,Rx-Risk 评分确定了超过 95%的患有胃、呼吸或心血管疾病的患者,而 Charlson 指数仅分别确定了 2%、31%和 14%的患者。对于糖尿病,两种指数相当。Charlson 指数确定了 83%的痴呆症患者和 67%的癌症患者,而 Rx-Risk 评分分别确定了 38%和 43%的患者。

结论

Charlson 指数和 Rx-Risk 评分都可预测死亡率,但没有一种指数能识别所有合并症。根据数据可用性、偏好和研究目的,研究人员可以使用 Charlson 指数或 Rx-Risk 评分来调整合并症。

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