Performance of comorbidity measures for predicting outcomes in population-based osteoporosis cohorts

Osteoporosis International

Volumn 22, Issue 10, 2011, Pages 2633-2643

  Lix, L M ^a,b   Quail, J ^b   Teare, G ^b   Acan, B ^b  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

^b Health Quality Council   (Canada)

Author keywords

Administrative data; Comorbid conditions; Confounding; Risk adjustment

Indexed keywords

AGED; ARTICLE; CANADA; COHORT ANALYSIS; COMORBIDITY; DATA ANALYSIS; DEMOGRAPHY; DRUG SENSITIVITY; DRUG SPECIFICITY; FEMALE; FRACTURE; HEALTH CARE UTILIZATION; HIP FRACTURE; HOSPITALIZATION; HUMAN; MAJOR CLINICAL STUDY; MALE; MORTALITY; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; OSTEOPOROSIS; PHYSICIAN; PRESCRIPTION; PRIORITY JOURNAL; SOCIOECONOMICS;

AGED; COHORT STUDIES; COMORBIDITY; FEMALE; HEALTH STATUS INDICATORS; HIP FRACTURES; HOSPITALIZATION; HUMANS; MALE; OSTEOPOROSIS; OSTEOPOROTIC FRACTURES; PROGNOSIS; REPRODUCIBILITY OF RESULTS; RISK ADJUSTMENT; SASKATCHEWAN; TREATMENT OUTCOME;

EID: 80755128969     PISSN: 0937941X     EISSN: 14332965     Source Type: Journal    
DOI: 10.1007/s00198-010-1516-7     Document Type: Article

References (49)

1. Valderas JM, Starfield B, Sibbald B, Salisbury C, Roland M (2009) Defining comorbidity: implications for understanding health and health services. Ann Fam Med 7:357-363
2. Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373-383
3. Elixhauser A, Steiner C, Harris DR, Coffey RM (1998) Comorbidity measures for use with administrative data. Med Care 36:8-27
4. Von Korff M, Wagner EH, Saunders K (1992) A chronic disease score from automated pharmacy data. J Clin Epidemiol 45:197-203
5. Schneeweiss S (2006) Sensitivity analysis and external adjustment for unmeasured confounders in epidemiologic database studies of therapeutics. Pharmacoepidemiol Drug Saf 15:291-303
6. Tenenhouse A, Joseph L, Kreiger N, Poliquin S, Murray TM, Blondeau L, Berger C, Hanley DA, Prior JC (2000) Estimation of the prevalence of low bone density in Canadian women and men using a population-specific DXA reference standard: the Canadian Multicentre Osteoporosis Study (CaMos). Osteoporos Int 11:897-904
7. Adachi JD, Ioannidis G, Olszynski WP, Brown JP, Hanley DA, Sebaldt RJ, Petrie A, Tenenhouse A, Stephenson GF, Papaioannou A, Guyatt GH, Goldsmith CH (2002) The impact of incident vertebral and non-vertebral fractures on health related quality of life in postmenopausal women. BMC Musculoskelet Disord 3:11
8. Lips P, van Schoor NM (2005) Quality of life in patients with osteoporosis. Osteoporos Int 16:447-455
9. Morin S, Lix LM, Azimaee M, Metge C, Caetano P, Leslie WD (2010) Mortality rates after incident non-traumatic fractures in older men and women. Osteoporos Int. doi: 10.1007/s00198-010-1480-2
10. Kanis JA, Oden A, Johnell O, De LC, Jonsson B, Oglesby AK (2003) The components of excess mortality after hip fracture. Bone 32:468-473
11. Bouza C, Lopez T, Palma M, Amate JM (2007) Hospitalised osteoporotic vertebral fractures in Spain: analysis of the national hospital discharge registry. Osteoporos Int 18:649-657
12. Orsini LS, Rousculp MD, Long SR, Wang S (2005) Health care utilization and expenditures in the United States: a study of osteoporosis-related fractures. Osteoporos Int 16:359-371
13. Kannegaard PN, van der Mark S, Eiken P, Abrahamsen B (2010) Excess mortality in men compared with women following a hip fracture. National analysis of comedications, comorbidity and survival. Age Ageing 39:203-209
14. Souza RC, Pinheiro RS, Coeli CM, Camargo KR Jr (2008) The Charlson comorbidity index (CCI) for adjustment of hip fracture mortality in the elderly: analysis of the importance of recording secondarydiagnoses. Cad Saúde Pública 24:315-322
15. Southern DA, Quan H, Ghali WA (2004) Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative data. Med Care 42:355-360
16. Edouard L, Rawson NS (1996) Reliability of the recording of hysterectomy in the Saskatchewan health care system. Br J Obstet Gynaecol 103:891-897
17. Liu L, Reeder B, Shuaib A, Mazagri R (1999) Validity of stroke diagnosis on hospital discharge records in Saskatchewan, Canada: implications for stroke surveillance. Cerebrovasc Dis 9:224-230
18. Rawson NS, D'Arcy C (1998) Assessing the validity of diagnostic information in administrative health care utilization data: experience in Saskatchewan. Pharmacoepidemiol Drug Saf 7:389-398
19. Alqaisi F, Williams LK, Peterson EL, Lanfear DE (2009) Comparing methods for identifying patients with heart failure using electronic data sources. BMC Health Serv Res 9:237
20. Fowles JB, Fowler EJ, Craft C (1998) Validation of claims diagnoses and self-reported conditions compared with medical records for selected chronic diseases. J Ambul Care Manage 21:24-34
21. Leslie WD, Lix LM, Yogendran MS (2010) Validation of a case definition for osteoporosis disease surveillance. Osteoporos Int. doi: 10.1007/s00198-010- 1225-2
22. Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA (2005) Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 43:1130-1139
23. Klabunde CN, Potosky AL, Legler JM, Warren JL (2000) Development of a comorbidity index using physician claims data. J Clin Epidemiol 53:1258-1267
24. Schneeweiss S, Maclure M (2000) Use of comorbidity scores for control of confounding in studies using administrative databases. Int J Epidemiol 29:891-898
25. Schneeweiss S, Seeger J, Maclure M, Wang P, Avorn J, Glynn RJ (2001) Performance of comirbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol 154:854-865
26. Bolton JM, Metge C, Lix L, Prior H, Sareen J, Leslie WD (2008) Fracture risk from psychotropic medications: a population-based analysis. J Clin Psychopharmacol 28:384-391
27. Leslie WD, Tsang JF, Caetano PA, Lix LM (2007) Effectiveness of bone density measurement for predicting osteoporotic fractures in clinical practice. J Clin Endocrinol Metab 92:77-81
28. Cooke AL, Metge C, Lix L, Prior HJ, Leslie WD (2008) Tamoxifen use and osteoporotic fracture risk: a population-based analysis. J Clin Oncol 26:5227-5232
29. Leslie WD, Morin S, Lix LM (2010) A before-and-after study of fracture risk reporting and osteoporosis treatment initiation. Ann Intern Med 153:580-586
30. Caro JJ, Ishak KJ, Huybrechts KF, Raggio G, Naujoks C (2003) The impact of poor compliance to osteoporosis treatment on risk of fractures in actual practice. Osteoporos Int 14:S78
31. Roos NP, Mustard CA (1997) Variation in health and health care use by socio-economic status in Winnipeg, Canada: the system works well? yes and no. Milbank Q 75:89-111
32. Reiter JP, Raghunathan TE (2007) The multiple adaptations of multiple imputation. J Am Stat Assoc 102:1462-1471
33. Kanis JA, Borgstrom F, De Laet C, Johansson H, Johnell O, Jonsson B, Oden A, Zethraeus N, Pfleger B, Khaltaev N (2005) Assessment of fracture risk. Osteoporos Int 16:581-589
34. Ikeda M, Ishigaki T, Yamauchi K (2002) Relationship between Brier score and area under the binormal ROC curve. Computer Meth Prog Biomedicine 67:187-194
35. Harrell FE Jr, Lee KL, Mark DB (1996) Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 15:361-387
36. Delong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837-845
37. Redelmeier DA, Bloch DA, Hickam DH (1991) Assessing predictive accuracy: how to compare Brier scores. J Clin Epidemiol 44:1141-1146
38. SAS Institute Inc (2004) SAS/STAT user's guide. SAS Institute Inc, Cary
39. Maciejewski ML, Liu CF, Derleth A, McDonell M, Anderson S, Fihn SD (2005) The performance of administrative and selfreported measures for risk adjustment of veterans affairs expenditures. Health Serv Res 40:887-904
40. Perkins AJ, Kroenke K, Unutzer J, Katon W, Williams JW, Hope C, Callahan CM (2004) Common comorbidity scales were similar in their ability to predict health care costs and mortality. J Clin Epidemiol 57:1040-1048
41. Farley JF, Harley CR, Devine JW (2006) A comparison of comorbidity measurements to predict healthcare expenditures. Am J Manag Care 12:110-119
42. Siminoski K, Leslie WD, Frame H, Hodsman A, Josse RG, Khan A, Lentle BC, Levesque J, Lyons D, Brown J (2005) Canadian recommendations for bone mineral density reporting. Can Assoc Radiol J 10:120-123
43. Leslie WD, Derksen S, Prior HS, Metge C, Lix LM, O'Neil J (2006) Assessment of the interaction between ethnicity and chronic disease risk factors for fracture in Canadian Aboriginals. Osteoporos Int 17:1358-1368
44. Vestergaard P, Mosekilde L (2002) Fracture risk in patients with celiac Disease, Crohn's disease, and ulcerative colitis: a nationwide follow-up study of 16, 416 patients in Denmark. Am J Epidemiol 156:1-10
45. Schneeweiss S, Wang PS, Avorn J, Maclure M, Levin R, Glynn RJ (2004) Consistency of performance ranking of comorbidity adjustment scores in Canadian and U. S. utilization data. J Gen Intern Med 19:444-450
46. Lash TL, Mor V, Wieland D, Ferrucci L, Satariano W, Silliman RA (2007) Methodology, design, and analytic techniques to address measurement of comorbid disease. J Gerontol A Biol Sci Med Sci 62:281-285
47. Radley DC, Gottlieb DJ, Fisher ES, Tosteson ANA (2008) Comorbidity risk-adjustment strategies are comparable among persons with hip fracture. J Clin Epidemiol 61:580-587
48. Clark DO, Von Korff M, Saunders K, Baluch WM, Simon GE (1995) A chronic disease score with empirically derived weights. Med Care 33:783-795
49. van Walraven C, Austin PC, Jennings A, Quan H, Forster AJ (2009) A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data. Med Care 47:626-633