New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality

被引:1853
作者
Sundararajan, V
Henderson, T
Perry, C
Muggivan, A
Quan, H
Ghali, WA
机构
[1] Victorian Dept Human Serv, Melbourne, Vic 3000, Australia
[2] Univ Calgary, Dept Community Hlth Sci, Calgary, AB, Canada
[3] Univ Calgary, Dept Med, Calgary, AB, Canada
关键词
comorbidity; Charlson; ICD-10; administrative data;
D O I
10.1016/j.jclinepi.2004.03.012
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background and objective: The ICD-9-CM adaptation of the Charlson comorbidity score has been a valuable resource for health services researchers. With the transition into ICD-10 coding worldwide, an ICD-10 version of the Deyo adaptation was developed and validated using population-based hospital data from Victoria, Australia. Methods: The algorithm was translated from ICD-9-CM into ICD-10-AM (Australian modification) in a multistep process. After a mapping algorithm was used to develop an initial translation, these codes were manually examined by the coding experts and a general physician for face validity. Because the ICD-10 system is country specific, Our goal was to keep many of the translated code at the three-digit level for generalizability of the new index. Results: There appears to be little difference in the distribution of the Charlson Index score between the two versions. A strong association between increasing index scores and mortality exists: the area under the ROC curve is 0.865 for the last year using the ICD-9-CM version and remains high, at 0.855, for the ICD-10 version. Conclusion: This work represents the first rigorous adaptation of the Charlson comorbidity index for use with ICD-10 data. In comparison with a well-established ICD-9-CM coding algorithm, it yields closely similar prevalence and prognosis information by comorbidity category. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:1288 / 1294
页数:7
相关论文
共 32 条
[1]   Test-retest performance of a mailed version of the medical outcomes study 36-item short-form health survey among older adults [J].
Andresen, EM ;
Bowley, N ;
Rothenberg, BM ;
Panzer, R ;
Katz, P .
MEDICAL CARE, 1996, 34 (12) :1165-1170
[2]   Quality-adjusted survival in the first year after the acute respiratory distress syndrome [J].
Angus, DC ;
Musthafa, AA ;
Clermont, G ;
Griffin, MF ;
Linde-Zwirble, WT ;
Dremsizov, TT ;
Pinsky, MR .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2001, 163 (06) :1389-1394
[3]  
[Anonymous], 1997, Epidemiol Bull, V18, P1
[4]  
[Anonymous], 2001, CENS POP HOUS
[5]  
Brouch K, 2000, J AHIMA, V71, P52
[6]  
*CAN I HLTH INF, 2001, INT STAT CLASS DIS R
[7]   A NEW METHOD OF CLASSIFYING PROGNOSTIC CO-MORBIDITY IN LONGITUDINAL-STUDIES - DEVELOPMENT AND VALIDATION [J].
CHARLSON, ME ;
POMPEI, P ;
ALES, KL ;
MACKENZIE, CR .
JOURNAL OF CHRONIC DISEASES, 1987, 40 (05) :373-383
[8]   Evaluation of two competing methods for calculating Charlson's comorbidity index when analyzing short-term mortality using administrative data [J].
Cleves, MA ;
Sanchez, N ;
Draheim, M .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1997, 50 (08) :903-908
[9]  
*COMM PROF HOSP AC, 1986, ANN ICD 9 CM INT CLA
[10]  
DELUSIGNAN S, 2001, MEDINFO, V10, P86