Charlson Comorbidity Index: A Critical Review of Clinimetric Properties

医学 可靠性(半导体) 同时有效性 重症监护室 共病 预测效度 物理疗法 急诊医学 重症监护医学 内科学 心理测量学 临床心理学 量子力学 物理 功率(物理) 内部一致性
作者
Mary E. Charlson,Danilo Carrozzino,Jenny Guidi,Chiara Patierno
出处
期刊:Psychotherapy and Psychosomatics [Karger Publishers]
卷期号:91 (1): 8-35 被引量:1045
标识
DOI:10.1159/000521288
摘要

The present critical review was conducted to evaluate the clinimetric properties of the Charlson Comorbidity Index (CCI), an assessment tool designed specifically to predict long-term mortality, with regard to its reliability, concurrent validity, sensitivity, incremental and predictive validity. The original version of the CCI has been adapted for use with different sources of data, ICD-9 and ICD-10 codes. The inter-rater reliability of the CCI was found to be excellent, with extremely high agreement between self-report and medical charts. The CCI has also been shown either to have concurrent validity with a number of other prognostic scales or to result in concordant predictions. Importantly, the clinimetric sensitivity of the CCI has been demonstrated in a variety of medical conditions, with stepwise increases in the CCI associated with stepwise increases in mortality. The CCI is also characterized by the clinimetric property of incremental validity, whereby adding the CCI to other measures increases the overall predictive accuracy. It has been shown to predict long-term mortality in different clinical populations, including medical, surgical, intensive care unit (ICU), trauma, and cancer patients. It may also predict in-hospital mortality, although in some instances, such as ICU or trauma patients, the CCI did not perform as well as other instruments designed specifically for that purpose. The CCI thus appears to be clinically useful not only to provide a valid assessment of the patient’s unique clinical situation, but also to demarcate major diagnostic and prognostic differences among subgroups of patients sharing the same medical diagnosis.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
pathway完成签到,获得积分10
刚刚
刚刚
刚刚
莫奇完成签到,获得积分10
刚刚
天天快乐应助AAA电材哥采纳,获得10
刚刚
1秒前
yhq发布了新的文献求助10
1秒前
NexusExplorer应助liguanyu1078采纳,获得30
2秒前
阳佟听荷发布了新的文献求助10
2秒前
香蕉觅云应助Mn采纳,获得10
2秒前
吴开心完成签到,获得积分10
2秒前
俊秀完成签到,获得积分10
2秒前
2秒前
所所应助刘寅杰采纳,获得10
2秒前
科研通AI6.3应助司闻采纳,获得10
2秒前
3秒前
情怀应助玩命的靖仇采纳,获得10
3秒前
万能图书馆应助沐易采纳,获得10
3秒前
Han发布了新的文献求助10
3秒前
张洁铃完成签到,获得积分10
4秒前
LUO完成签到,获得积分10
4秒前
ding发布了新的文献求助10
4秒前
隐形曼青应助又发了NSC采纳,获得10
4秒前
4秒前
天天快乐应助吁愚雨豫采纳,获得10
5秒前
NexusExplorer应助乐观的菜汪采纳,获得10
5秒前
顺心冬卉发布了新的文献求助10
5秒前
LLR发布了新的文献求助10
5秒前
撒旦撒发布了新的文献求助30
6秒前
ballon发布了新的文献求助10
6秒前
7秒前
天天快乐应助酷酷易巧采纳,获得10
7秒前
大个应助xinxin采纳,获得10
7秒前
8秒前
赵锐发布了新的文献求助20
8秒前
12345完成签到,获得积分10
8秒前
newman发布了新的文献求助10
8秒前
安安发布了新的文献求助10
8秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6038886
求助须知:如何正确求助?哪些是违规求助? 7767379
关于积分的说明 16224455
捐赠科研通 5184924
什么是DOI,文献DOI怎么找? 2774745
邀请新用户注册赠送积分活动 1757552
关于科研通互助平台的介绍 1641792