Charlson scores based on ICD-10 administrative data were valid in assessing comorbidity in patients undergoing urological cancer surgery

被引:189
作者
Nuttall, M
van der Meulen, J
Emberton, M
机构
[1] Royal Coll Surgeons England, Clin Effectiveness Unit, London WC2A 3PE, England
[2] London Sch Hyg & Trop Med, Hlth Serv Res Unit, London WC1, England
[3] UCL, Inst Urol & Nephrol, London, England
关键词
comorbidity; Charlson score; administrative data; ICD-9-CM; ICD-10;
D O I
10.1016/j.jclinepi.2005.07.015
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 Objectives: Adjustment for comorbidity is an essential component of any observational study comparing outcomes. We evaluated the validity of the Charlson comorbidity score based on ICD-10 codes in patients undergoing urological cancer surgery within an English administrative database. Study Design and Setting: Patients who underwent radical urological cancer surgery between 1998 and 2002 in the English National Health Service were identified from the Hospital Episode Statistics database (N = 20,138). ICD-9-CM codes defining comorbid diseases according to the Deyo and Dartmouth-Manitoba adaptations of the Charlson comorbidity score were translated into ICD-10 codes. Results: Charlson scores derived by the ICD-10 translation of the Deyo and Dartmouth-Manitoba adaptations were identical in 16,623 patients (83%; kappa = .63). For both adaptations, ICD-10 scores increased with age, were higher in patients admitted on an emergency basis, and predicted short-term outcome. Addition of either the ICD-10 Charlson Deyo or Dartmouth-Manitoba score to risk models containing age and sex to predict in-hospital mortality resulted in a better model fit but only in small improvements of the predictive power. Conclusion: The ICD-10 translations of the Deyo and Dartmouth-Manitoba adaptations performed similarly in risk models predicting hospital mortality following urological cancer surgery. Adjustment for comorbidity over and above age and sex alone does not seem to provide a large improvement. (C) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码:265 / 273
页数:9
相关论文
共 53 条
[1]   Variations in morbidity after radical prostatectomy. [J].
Begg, CB ;
Riedel, ER ;
Bach, PB ;
Kattan, MW ;
Schrag, D ;
Warren, JL ;
Scardino, PT .
NEW ENGLAND JOURNAL OF MEDICINE, 2002, 346 (15) :1138-1144
[2]   Surgeon volume and operative mortality in the United States [J].
Birkmeyer, JD ;
Stukel, TA ;
Siewers, AE ;
Goodney, PP ;
Wennberg, DE ;
Lucas, FL .
NEW ENGLAND JOURNAL OF MEDICINE, 2003, 349 (22) :2117-2127
[3]  
Blumberg M S, 1986, Med Care Rev, V43, P351, DOI 10.1177/107755878604300205
[4]   A systematic review of discharge coding accuracy [J].
Campbell, SE ;
Campbell, MK ;
Grimshaw, JM ;
Walker, AE .
JOURNAL OF PUBLIC HEALTH MEDICINE, 2001, 23 (03) :205-211
[5]   A study of the morbidity, mortality and long-term survival following radical cystectomy and radical radiotherapy in the treatment of invasive bladder cancer in Yorkshire [J].
Chahal, R ;
Sundaram, SK ;
Iddenden, R ;
Forman, DF ;
Weston, PMT ;
Harrison, SCW .
EUROPEAN UROLOGY, 2003, 43 (03) :246-257
[6]   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
[7]   Challenges of monitoring use of secondary care at local level: A study based in London, UK [J].
Chenet, L ;
McKee, M .
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 1996, 50 (03) :359-365
[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]  
*DEP HLTH, 2000, HES INF HEALTHC
[10]  
Department of Health and Human Services, 1998, INT CLASS DIS