The ICD-10 Charlson Comorbidity Index predicted mortality but not resource utilization following hip fracture

Journal of Clinical Epidemiology

Volumn 68, Issue 1, 2015, Pages 44-51

  Toson, Barbara ^a   Harvey, Lara A ^a   Close, Jacqueline C T ^a,b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Charlson Comorbidity Index; Comorbidity; Hip fracture; ICD 10; Mortality; Risk adjustment

Indexed keywords

AGED; ARTICLE; AUSTRALIA; CHARLSON COMORBIDITY INDEX; CODING ALGORITHM; COMORBIDITY; FEMALE; HEALTH CARE UTILIZATION; HIP FRACTURE; HOSPITAL ADMISSION; HOSPITAL READMISSION; HUMAN; ICD-10; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; MORTALITY; PREDICTION; QUAN ALGORITHM; RISK ASSESSMENT; SUNDARARAJAN ALGORITHM; ALGORITHM; HEALTH CARE PLANNING; HIP FRACTURES; HOSPITALIZATION; INTERNATIONAL CLASSIFICATION OF DISEASES; UTILIZATION; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALGORITHMS; COMORBIDITY; FEMALE; HEALTH RESOURCES; HIP FRACTURES; HOSPITAL MORTALITY; HOSPITALIZATION; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; LENGTH OF STAY; MALE; NEW SOUTH WALES;

EID: 84916234478     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2014.09.017     Document Type: Article

References (40)

1. H. Quan, B. Li, C.M. Couris, K. Fushimi, P. Graham, and P. Hider Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries Am J Epidemiol 173 2011 676 682
2. M.E. Charlson, P. Pompei, K.L. Ales, and C.R. MacKenzie A new method of classifying prognostic comorbidity in longitudinal studies: development and validation J Chronic Dis 40 1987 373 383
3. O. Birim, A.P. Kappetein, and A.J. Bogers Charlson comorbidity index as a predictor of long-term outcome after surgery for nonsmall cell lung cancer Eur J Cardiothorac Surg 28 2005 759 762
4. R.T. Arrigo, P. Kalanithi, I. Cheng, T. Alamin, E.J. Carragee, and S.A. Mindea Predictors of survival after surgical treatment of spinal metastasis Neurosurgery 68 2011 674 681 discussion 681
5. L.B. Goldstein, G.P. Samsa, D.B. Matchar, and R.D. Horner Charlson index comorbidity adjustment for ischemic stroke outcome studies Stroke 35 2004 1941 1945
6. B. Li, D. Evans, P. Faris, S. Dean, and H. Quan Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases BMC Health Serv Res 8 2008 12
7. V. de Groot, H. Beckerman, G.J. Lankhorst, and L.M. Bouter How to measure comorbidity: a critical review of available methods J Clin Epidemiol 56 2003 221 229
8. R.A. Deyo, D.C. Cherkin, and M.A. Ciol Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases J Clin Epidemiol 45 1992 613 619
9. P.S. Romano, L.L. Roos, and J.G. Jollis Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives J Clin Epidemiol 46 1993 1075 1079 discussion 1081-90
10. W. D'Hoore, A. Bouckaert, and C. Tilquin Practical considerations on the use of the Charlson comorbidity index with administrative data bases J Clin Epidemiol 49 1996 1429 1433
11. V. Sundararajan, T. Henderson, C. Perry, A. Muggivan, H. Quan, and W.A. Ghali New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality J Clin Epidemiol 57 2004 1288 1294
12. H. Quan, V. Sundararajan, P. Halfon, A. Fong, B. Burnand, and J.C. Luthi Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data Med Care 43 2005 1130 1139
13. L. Camilloni, S. Farchi, P. Giorgi Rossi, F. Chini, and P. Borgia Mortality in elderly injured patients: the role of comorbidities Int J Inj Contr Saf Promot 15 2008 25 31
14. L. Moore, A. Lavoie, N. Le Sage, E. Bergeron, M. Emond, and M. Liberman Using information on preexisting conditions to predict mortality from traumatic injury Ann Emerg Med 52 2008 356 364.e2
15. B.J. Gabbe, K. Magtengaard, A.P. Hannaford, and P.A. Cameron Is the Charlson comorbidity index useful for predicting trauma outcomes? Acad Emerg Med 12 2005 318 321
16. H.J. Thompson, F.P. Rivara, A. Nathens, J. Wang, G.J. Jurkovich, and E.J. Mackenzie Development and validation of the mortality risk for trauma comorbidity index Ann Surg 252 2010 370
17. B.J. Gabbe, J.E. Harrison, R.A. Lyons, E.R. Edwards, and P.A. Cameron Comparison of measures of comorbidity for predicting disability 12-months post-injury BMC Health Serv Res 13 2013 30
18. V. Neuhaus, J. King, M.G. Hageman, and D.C. Ring Charlson comorbidity indices and in-hospital deaths in patients with hip fractures Clin Orthop Relat Res 471 2013 1712 1719
19. L.L. Kirkland, D.T. Kashiwagi, M.C. Burton, S. Cha, and P. Varkey The Charlson comorbidity index score as a predictor of 30-day mortality after hip fracture surgery Am J Med Qual 26 2011 461 467
20. E. Burgos, J. Gómez-Arnau, R. Díez, L. Muñoz, J. Fernández-Guisasola, and S. Garcia del Valle Predictive value of six risk scores for outcome after surgical repair of hip fracture in elderly patients Acta Anaesthesiol Scand 52 2008 125 131
21. Estimated resident population by single year of age, New South Wales [Internet]. 2012. Available at http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3101.0Dec%202012?OpenDocument. Accessed September 9, 2013.
22. National Centre for Classification in Health The international statistical classification of diseases and related health problems, tenth revision, Australian modification (ICD-10-AM) 2010 National Centre for Classification in Health, Faculty of Health Sciences, University of Sydney Sydney, Australia
23. A. Goldberg, and A. Borthwick The ChoiceMaker2 record matching system 2004 ChoiceMaker Technologies, Inc New York, NY
24. Centre for Health Record Linkage. Master linkage key quality assurance report. 2012. Available at http://www.cherel.org.au/quality-assurance. Accessed September 3, 2013.
25. R. Kreisfeld, and R. Newson Hip fracture injuries. AIHW Cat. no. INJCAT 93 2006 AIHW Canberra, Australia
26. K.H. Zou, A.J. O'Malley, and L. Mauri Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models Circulation 115 2007 654 657
27. H. Akaike Information theory and an extension of the maximum likelihood principle. Breakthroughs in statistics 1992 Springer; New York 610 624
28. D.W. Hosmer, S. Lemeshow, and R.X. Sturdivant Applied logistic regression 2013 Wiley Hoboken, New Jersey 160 164
29. A. Field Discovering statistics using SPSS 2009 SAGE Publications London, UK 221 222
30. Australian Health Performance Authority Hospital performance: length of stay in public hospitals in 2011-12, technical supplement 2013 National Health Performance Authority; Sydney, Australia
31. SAS Institute SAS: statistical software. Version 9.3 2012 SAS Institute Cary, NC
32. D. Hindmarsh, M. Loh, C.F. Finch, A. Hayen, and J.C. Close Effect of comorbidity on relative survival following hospitalisation for fall-related hip fracture in older people Australas J Ageing 33 2014 E1 E7
33. D.B. Preen, C.D.A.J. Holman, K. Spilsbury, J.B. Semmens, and K.J. Brameld Length of comorbidity lookback period affected regression model performance of administrative health data J Clin Epidemiol 59 2006 940 946
34. J.A. Batsis, J.M. Huddleston, L.J. Melton, P.M. Huddleston, F. Lopez-Jimenez, and D.R. Larson Body mass index and risk of adverse cardiac events in elderly patients with hip fracture: a population-based study J Am Geriatr Soc 57 2009 419 426
35. S. Høidrup, M. Grønbæk, A. Gottschau, J.B. Lauritzen, and M. Schroll Alcohol intake, beverage preference, and risk of hip fracture in men and women Am J Epidemiol 149 1999 993 1001
36. J.P. Scandol, B. Toson, and J.C. Close Fall-related hip fracture hospitalisations and the prevalence of dementia within older people in New South Wales, Australia: an analysis of linked data Injury 44 2013 776 783
37. V. Sundararajan, H. Quan, P. Halfon, K. Fushimi, J.-C. Luthi, and B. Burnand Cross-national comparative performance of three versions of the ICD-10 Charlson Index Med Care 45 2007 1210 1215
38. Australian Institute of Health and Welfare Dementia in Australia. Cat no. AGE 70 2012 Australian Institute of Health and Welfare; Canberra, Australia
39. K.G. Yiannopoulou, I.P. Anastasiou, T.K. Ganetsos, P. Efthimiopoulos, and S.G. Papageorgiou Prevalence of dementia in elderly patients with hip fracture Hip Int 22 2012 209 213
40. T. Henderson, J. Shepheard, and V. Sundararajan Quality of diagnosis and procedure coding in ICD-10 administrative data Med Care 44 2006 1011 1019