Department of Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Thônex, Switzerland.
Rejuvenation Res. 2010 Dec;13(6):675-82. doi: 10.1089/rej.2010.1037. Epub 2010 Sep 6.
Older patients often suffer from multiple co-morbid conditions. Few co-morbidity indices are valid and reliable in elderly patients and comparison between them is rare. Our objective was to compare the performance, relevance, and abilities of six widely used and validated co-morbidity indices--the Charlson Cumulative Illness Rating Scale-Geriatrics (CIRS), Index of Co-Existent Disease, Kaplan Scale, Geriatrics Index of Co-morbidity (GIC), and Chronic Disease Score--to predict 5 years of survival after hospital discharge. Data came from a prospective study with yearly follow up, conducted 2004-2009 in 444 patients (mean age 85 years; 74% female) discharged from the acute geriatric hospital of the Geneva University Hospitals. In univariate analysis, mortality was significantly associated with age; each supplementary year added 7% of additional risk; and with sex, being male increased the risk by 1.5-fold. The best prognostic predictor was the GIC class 4 followed by the CIRS quartile 4 multiplying the risk of death by 4 and 3, respectively. After 1 year of discharge, for both scores approximately 50% of the high-score patients were already deceased and 80% were deceased after 5 years, compared with <5% in the lowest scores after 1 year and <40% after 5 years. When we entered all of the significant independent variables in a stepwise backward analysis, the best multiple regression model retained the CIRS quartile 4 as the strongest risk predictor followed by the GIC class 4. We conclude that the CIRS and the GIC may improve hospital discharge planning as being useful for clinical decision-making purposes and for clinical research in older patients.
老年患者常同时患有多种合并症。少数合并症指数在老年患者中是有效和可靠的,而且它们之间的比较很少。我们的目的是比较六种广泛使用和验证的合并症指数——Charlson 累积疾病评分-老年医学(CIRS)、共存疾病指数、Kaplan 量表、老年合并症指数(GIC)和慢性疾病评分——在预测出院后 5 年生存方面的表现、相关性和能力。数据来自一项前瞻性研究,该研究于 2004 年至 2009 年进行,对日内瓦大学医院急性老年医学医院出院的 444 名患者(平均年龄 85 岁,74%为女性)进行了每年的随访。在单因素分析中,死亡率与年龄显著相关;每增加一年,风险增加 7%;与性别有关,男性的风险增加 1.5 倍。最好的预后预测指标是 GIC 等级 4,其次是 CIRS 四分位数 4,分别使死亡风险增加 4 倍和 3 倍。出院后 1 年,对于这两个评分,大约有 50%的高分患者已经死亡,80%的患者在 5 年后死亡,而在 1 年后的最低评分中,这一比例不到 5%,在 5 年后不到 40%。当我们将所有显著的独立变量逐步向后分析时,最佳多元回归模型保留了 CIRS 四分位数 4,作为最强的风险预测因子,其次是 GIC 等级 4。我们的结论是,CIRS 和 GIC 可以改善出院计划,因为它们对于临床决策和老年患者的临床研究是有用的。