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Published in: Clinical Orthopaedics and Related Research® 11/2015

01-11-2015 | Symposium: 2014 Meeting of International Society of Arthroplasty Registers

Standard Comorbidity Measures Do Not Predict Patient-reported Outcomes 1 Year After Total Hip Arthroplasty

Authors: Meridith E. Greene, BA, Ola Rolfson, MD, PhD, Max Gordon, MD, PhD, Göran Garellick, MD, PhD, Szilard Nemes, PhD

Published in: Clinical Orthopaedics and Related Research® | Issue 11/2015

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Abstract

Background

Comorbidities influence surgical outcomes and therefore need to be included in risk adjustment when predicting patient-reported outcomes. However, there is no consensus on how best to use the available data about comorbidities in registry-based predictive models.

Questions/purposes

The purposes of this study were (1) to determine whether the International Classification of Diseases, 10th Revision (ICD-10)-based comorbidity measures (Elixhauser, Charlson, and Royal College of Surgeons Charlson) offer added value in explaining patients’ health-related quality of life (HRQoL), pain, and satisfaction after total hip arthroplasty (THA) when preoperative HRQoL, pain, and Charnley classification were known; and (2) to determine the ideal timeframe for recording the different diagnoses that serves as the basis for comorbidity measure calculations.

Methods

There were 22,263 patients who had undergone THA with complete pre- and postoperative patient-reported outcome measures (PROMs) included in the Swedish Hip Arthroplasty Register between 2002 and 2007. The three comorbidity indices were calculated with ICD-10 codes identified in the Swedish National Patient Register from 1, 2, and 5 years before the patient underwent THA. The impact of the comorbidity indices on the PROM scores (EQ-5D index, EQ visual analog scale [VAS], pain VAS, and satisfaction VAS) was modeled with linear regression where the 1-year patient postoperative outcome score was the dependent variable and independent variables included patient preoperative Charnley classification, preoperative HRQoL and pain, and comorbidity indices. The partial R2 value indicated how much each variable uniquely contributed to the predictive capacity of the model.

Results

The ICD-10-based comorbidity measures added little predictive value to the models for each of the outcomes of interest (EQ-5D index, EQ VAS, pain VAS, and satisfaction VAS). Charnley classification and the preoperative scores were the strongest predictors of both measures of postoperative HRQoL, of postoperative pain, and postoperative satisfaction with outcomes from surgery. Of all the predictors considered, only the Charnley classification was associated with all outcomes, irrespective of the timeframe considered. For each of the outcomes considered, there was a gradual increase in the models’ predictive power with the length of the timeframe considered for calculating the comorbidity measures.

Conclusions

For predicting outcomes 1 year after THA, we found that there was no added value in ICD-10-based comorbidity measures if patient Charnley classification and preoperative HRQoL and pain measures were known.

Level of Evidence

Level III, therapeutic study.
Literature
1.
go back to reference Ahmad MA, Xypnitos FN, Giannoudis PV. Measuring hip outcomes: common scales and checklists. Injury Int J Care Inj. 2011;42:259–264.CrossRef Ahmad MA, Xypnitos FN, Giannoudis PV. Measuring hip outcomes: common scales and checklists. Injury Int J Care Inj. 2011;42:259–264.CrossRef
2.
go back to reference Bjorgul K, Novicoff WM, Saleh KJ. Evaluating comorbidities in total hip and knee arthroplasty: available instruments. J Orthop Traumatol. 2010;11:203–209.PubMedCentralCrossRefPubMed Bjorgul K, Novicoff WM, Saleh KJ. Evaluating comorbidities in total hip and knee arthroplasty: available instruments. J Orthop Traumatol. 2010;11:203–209.PubMedCentralCrossRefPubMed
3.
go back to reference Callaghan JJ, Dysart SH, Savory CF, Hopkinson WJ. Assessing the results of hip replacement. A comparison of five different rating systems. J Bone Joint Surg Br. 1990;72:1008–1009.PubMed Callaghan JJ, Dysart SH, Savory CF, Hopkinson WJ. Assessing the results of hip replacement. A comparison of five different rating systems. J Bone Joint Surg Br. 1990;72:1008–1009.PubMed
4.
go back to reference Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–383.CrossRefPubMed Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–383.CrossRefPubMed
5.
go back to reference Charnley J. The long-term results of low-friction arthroplasty of the hip performed as a primary intervention. J Bone Joint Surg Br. 1972;54:61–76.PubMed Charnley J. The long-term results of low-friction arthroplasty of the hip performed as a primary intervention. J Bone Joint Surg Br. 1972;54:61–76.PubMed
6.
go back to reference Dominick KL, Dudley TK, Coffman CJ, Bosworth HB. Comparison of three comorbidity measures for predicting health service use in patients with osteoarthritis. Arthritis Rheum Arthritis Care Res. 2005;53:666–672.CrossRef Dominick KL, Dudley TK, Coffman CJ, Bosworth HB. Comparison of three comorbidity measures for predicting health service use in patients with osteoarthritis. Arthritis Rheum Arthritis Care Res. 2005;53:666–672.CrossRef
7.
go back to reference Dunbar MJ, Robertsson O, Ryd L. What’s all that noise? The effect of co-morbidity on health outcome questionnaire results after knee arthroplasty. Acta Orthop Scand. 2004;75:119–126.CrossRefPubMed Dunbar MJ, Robertsson O, Ryd L. What’s all that noise? The effect of co-morbidity on health outcome questionnaire results after knee arthroplasty. Acta Orthop Scand. 2004;75:119–126.CrossRefPubMed
8.
go back to reference Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36:8–27.CrossRefPubMed Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36:8–27.CrossRefPubMed
9.
go back to reference EuroQolGroup. EuroQol – a new facility for the measurement of health related quality of life. Health Policy. 1990;16:199–208. EuroQolGroup. EuroQol – a new facility for the measurement of health related quality of life. Health Policy. 1990;16:199–208.
10.
go back to reference Gordon M, Frumento P, Skoldenberg O, Greene M, Garellick G, Rolfson O. Women in Charnley class C fail to improve in mobility to a higher degree after total hip replacement. Acta Orthop. 2014;85:335–341.PubMedCentralCrossRefPubMed Gordon M, Frumento P, Skoldenberg O, Greene M, Garellick G, Rolfson O. Women in Charnley class C fail to improve in mobility to a higher degree after total hip replacement. Acta Orthop. 2014;85:335–341.PubMedCentralCrossRefPubMed
11.
go back to reference Gordon M, Stark A, Skoldenberg OG, Karrholm J, Garellick G. The influence of comorbidity scores on re-operations following primary total hip replacement: comparison and validation of three comorbidity measures. Bone Joint J. 2013;95:1184–1191.CrossRefPubMed Gordon M, Stark A, Skoldenberg OG, Karrholm J, Garellick G. The influence of comorbidity scores on re-operations following primary total hip replacement: comparison and validation of three comorbidity measures. Bone Joint J. 2013;95:1184–1191.CrossRefPubMed
12.
go back to reference Greene ME, Rolfson O, Nemes S, Gordon M, Malchau H, Garellick G. Education attainment is associated with patient-reported outcomes: findings from the Swedish Hip Arthroplasty Register. Clin Orthop Relat Res. 2014;472:1868–1876.PubMedCentralCrossRefPubMed Greene ME, Rolfson O, Nemes S, Gordon M, Malchau H, Garellick G. Education attainment is associated with patient-reported outcomes: findings from the Swedish Hip Arthroplasty Register. Clin Orthop Relat Res. 2014;472:1868–1876.PubMedCentralCrossRefPubMed
13.
go back to reference Karrholm J, Garellick G, Rogmark C, Herberts P. Swedish Hip Arthroplasty Register Annual Report 2007. Gothenburg, Sweden: Swedish Hip Arthroplasty Register; 2008. Karrholm J, Garellick G, Rogmark C, Herberts P. Swedish Hip Arthroplasty Register Annual Report 2007. Gothenburg, Sweden: Swedish Hip Arthroplasty Register; 2008.
14.
go back to reference Lavernia CJ, Laoruengthana A, Contreras JS, Rossi MD. All-patient refined diagnosis-related groups in primary arthroplasty. J Arthroplasty. 2009;24:19–23.CrossRefPubMed Lavernia CJ, Laoruengthana A, Contreras JS, Rossi MD. All-patient refined diagnosis-related groups in primary arthroplasty. J Arthroplasty. 2009;24:19–23.CrossRefPubMed
15.
go back to reference Lix LM, Quail J, Teare G, Acan B. Performance of comorbidity measures for predicting outcomes in population-based osteoporosis cohorts. Osteoporosis Int. 2011;22:2633–2643.CrossRef Lix LM, Quail J, Teare G, Acan B. Performance of comorbidity measures for predicting outcomes in population-based osteoporosis cohorts. Osteoporosis Int. 2011;22:2633–2643.CrossRef
16.
go back to reference McGuigan FX, Hozack WJ, Moriarty L, Eng K, Rothman RH. Predicting quality-of-life outcomes following total joint arthroplasty. Limitations of the SF-36 Health Status Questionnaire. J Arthroplasty. 1995;10:742–747.CrossRefPubMed McGuigan FX, Hozack WJ, Moriarty L, Eng K, Rothman RH. Predicting quality-of-life outcomes following total joint arthroplasty. Limitations of the SF-36 Health Status Questionnaire. J Arthroplasty. 1995;10:742–747.CrossRefPubMed
17.
go back to reference Mnatzaganian G, Ryan P, Hiller JE. Does co-morbidity provide significant improvement on age adjustment when predicting medical outcomes? Methods Inf Med. 2014;53:115–120.CrossRefPubMed Mnatzaganian G, Ryan P, Hiller JE. Does co-morbidity provide significant improvement on age adjustment when predicting medical outcomes? Methods Inf Med. 2014;53:115–120.CrossRefPubMed
18.
go back to reference Mnatzaganian G, Ryan P, Norman PE, Hiller JE. Accuracy of hospital morbidity data and the performance of comorbidity scores as predictors of mortality. J Clin Epidemiol. 2012;65:107–115.CrossRefPubMed Mnatzaganian G, Ryan P, Norman PE, Hiller JE. Accuracy of hospital morbidity data and the performance of comorbidity scores as predictors of mortality. J Clin Epidemiol. 2012;65:107–115.CrossRefPubMed
19.
go back to reference Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi J-C, Saunders LD, Beck CA, Feasby TE, Ghali WA. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130–1139.CrossRefPubMed Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi J-C, Saunders LD, Beck CA, Feasby TE, Ghali WA. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130–1139.CrossRefPubMed
20.
go back to reference Röder C, Staub LP, Eggli S, Dietrich D, Busato A, Muller U. Influence of preoperative functional status on outcome after total hip arthroplasty. J Bone Joint Surg Am. 2007;89:11–17.CrossRefPubMed Röder C, Staub LP, Eggli S, Dietrich D, Busato A, Muller U. Influence of preoperative functional status on outcome after total hip arthroplasty. J Bone Joint Surg Am. 2007;89:11–17.CrossRefPubMed
21.
go back to reference Röder C, Staub LP, Eichler P, Widmer M, Dietrich D, Eggli S, Muller U. Avoiding misclassification bias with the traditional Charnley classification: rationale for a fourth Charnley class BB. J Orthop Res. 2006;24:1803–1808.CrossRefPubMed Röder C, Staub LP, Eichler P, Widmer M, Dietrich D, Eggli S, Muller U. Avoiding misclassification bias with the traditional Charnley classification: rationale for a fourth Charnley class BB. J Orthop Res. 2006;24:1803–1808.CrossRefPubMed
22.
go back to reference Rolfson O, Karrholm J, Dahlberg LE, Garellick G. Patient-reported outcomes in the Swedish Hip Arthroplasty register: results of a nationwide prospective observational study. J Bone Joint Surg Br. 2011;93:867–875.CrossRefPubMed Rolfson O, Karrholm J, Dahlberg LE, Garellick G. Patient-reported outcomes in the Swedish Hip Arthroplasty register: results of a nationwide prospective observational study. J Bone Joint Surg Br. 2011;93:867–875.CrossRefPubMed
23.
go back to reference Sharabiani MTA, Aylin P, Bottle A. Systematic review of comorbidity indices for administrative data. Med Care. 2012;50:1109–1118.CrossRefPubMed Sharabiani MTA, Aylin P, Bottle A. Systematic review of comorbidity indices for administrative data. Med Care. 2012;50:1109–1118.CrossRefPubMed
Metadata
Title
Standard Comorbidity Measures Do Not Predict Patient-reported Outcomes 1 Year After Total Hip Arthroplasty
Authors
Meridith E. Greene, BA
Ola Rolfson, MD, PhD
Max Gordon, MD, PhD
Göran Garellick, MD, PhD
Szilard Nemes, PhD
Publication date
01-11-2015
Publisher
Springer US
Published in
Clinical Orthopaedics and Related Research® / Issue 11/2015
Print ISSN: 0009-921X
Electronic ISSN: 1528-1132
DOI
https://doi.org/10.1007/s11999-015-4195-z

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