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      Temporal relationship between osteoarthritis and comorbidities: a combined case control and cohort study in the UK primary care setting

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          Abstract

          Objective

          To determine the burden of comorbidities in OA and their temporal relationships in the UK.

          Methods

          The Clinical Practice Research Datalink (CPRD) GOLD was used to identify people with incident OA and age, gender and practice matched non-OA controls from UK primary care. Controls were assigned the same index date as matched cases (date of OA diagnosis). Associations between OA and 49 individual comorbidities and multimorbidities (two or more comorbidities excluding OA) both before and after OA diagnosis were estimated, adjusting for covariates, using odds ratios (aORs) and hazard ratios (aHRs), respectively.

          Results

          During 1997–2017, we identified 221 807 incident OA cases and 221 807 matched controls. Of 49 comorbidities examined, 38 were associated with OA both prior to and following the diagnosis of OA and 2 (dementia and systemic lupus erythematosus) were associated with OA only following the diagnosis of OA. People with OA had a higher risk of developing heart failure [aHR 1.63 (95% CI 1.56, 1.71)], dementia [aHR 1.62 (95% CI 1.56, 1.68)], liver diseases [aHR 1.51 (95% CI 1.37, 1.67)], irritable bowel syndrome [aHR 1.51 (95% CI 1.45, 1.58)], gastrointestinal bleeding [aHR 1.49 (95% CI 1.39, 1.59)], 10 musculoskeletal conditions and 25 other conditions following OA diagnosis. The aOR for multimorbidity prior to the index date was 1.71 (95% CI 1.69, 1.74), whereas the aHR for multimorbidity after the index date was 1.29 (95% CI 1.28, 1.30).

          Conclusions

          People with OA are more likely to have other chronic conditions both before and after the OA diagnosis. Further study on shared aetiology and causality of these associations is needed.

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          Most cited references54

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          Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries.

          With advances in the effectiveness of treatment and disease management, the contribution of chronic comorbid diseases (comorbidities) found within the Charlson comorbidity index to mortality is likely to have changed since development of the index in 1984. The authors reevaluated the Charlson index and reassigned weights to each condition by identifying and following patients to observe mortality within 1 year after hospital discharge. They applied the updated index and weights to hospital discharge data from 6 countries and tested for their ability to predict in-hospital mortality. Compared with the original Charlson weights, weights generated from the Calgary, Alberta, Canada, data (2004) were 0 for 5 comorbidities, decreased for 3 comorbidities, increased for 4 comorbidities, and did not change for 5 comorbidities. The C statistics for discriminating in-hospital mortality between the new score generated from the 12 comorbidities and the Charlson score were 0.825 (new) and 0.808 (old), respectively, in Australian data (2008), 0.828 and 0.825 in Canadian data (2008), 0.878 and 0.882 in French data (2004), 0.727 and 0.723 in Japanese data (2008), 0.831 and 0.836 in New Zealand data (2008), and 0.869 and 0.876 in Swiss data (2008). The updated index of 12 comorbidities showed good-to-excellent discrimination in predicting in-hospital mortality in data from 6 countries and may be more appropriate for use with more recent administrative data. © The Author 2011. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved.
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            Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases

            R Deyo (1992)
            Administrative databases are increasingly used for studying outcomes of medical care. Valid inferences from such data require the ability to account for disease severity and comorbid conditions. We adapted a clinical comorbidity index, designed for use with medical records, for research relying on International Classification of Diseases (ICD-9-CM) diagnosis and procedure codes. The association of this adapted index with health outcomes and resource use was then examined with a sample of Medicare beneficiaries who underwent lumbar spine surgery in 1985 (n = 27,111). The index was associated in the expected direction with postoperative complications, mortality, blood transfusion, discharge to nursing home, length of hospital stay, and hospital charges. These associations were observed whether the index incorporated data from multiple hospitalizations over a year's time, or just from the index surgical admission. They also persisted after controlling for patient age. We conclude that the adapted comorbidity index will be useful in studies of disease outcome and resource use employing administrative databases.
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              A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

              The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
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                Author and article information

                Journal
                Rheumatology (Oxford)
                Rheumatology (Oxford)
                brheum
                Rheumatology (Oxford, England)
                Oxford University Press
                1462-0324
                1462-0332
                September 2021
                01 March 2021
                01 March 2021
                : 60
                : 9
                : 4327-4339
                Affiliations
                [1 ] Academic Rheumatology, Division of Rheumatology, Orthopaedics and Dermatology
                [2 ]Division of Primary Care, School of Medicine, University of Nottingham , Nottingham
                [3 ]School of Medicine, Keele University , Keele, UK
                [4 ]Division of Rheumatology, Allergy and Immunology, Chang Gung Memorial Hospital , Taoyuan City, Taiwan
                [5 ]Musculoskeletal Research Unit, Bristol Medical School, Translational Health Sciences, University of Bristol , Bristol, UK
                [6 ]Department of General Practice, Department of Orthopaedic Surgery, Erasmus University Medical Center, Rotterdam , The Netherlands
                [7 ]Clinical Epidemiology Unit, Orthopaedics, Department of Clinical Sciences, Lund University , Lund, Sweden
                [8 ]Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford , Oxford
                [9 ]Pain Centre and Versus Arthritis, University of Nottingham , Nottingham, UK
                Author notes
                Correspondence to: Weiya Zhang, Academic Rheumatology, Clinical Sciences Building, City Hospital, Nottingham NG5 1PB, UK. E-mail: weiya.zhang@ 123456nottingham.ac.uk
                Author information
                https://orcid.org/0000-0001-9207-1065
                https://orcid.org/0000-0001-8390-6876
                Article
                keab067
                10.1093/rheumatology/keab067
                8410005
                33506862
                a843ae0c-d99d-4f05-8bd8-e43c7688048e
                © The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Rheumatology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 28 September 2020
                : 10 January 2021
                : 30 August 2021
                Page count
                Pages: 13
                Funding
                Funded by: Versus Arthritis, DOI 10.13039/501100012041;
                Award ID: 20777
                Award ID: 21595
                Funded by: University of Nottingham Vice-Chancellor Scholarship and a Beijing Joint Care Foundation Scholarship;
                Funded by: National Institute for Health Research (NIHR) Research Professorship;
                Award ID: NIHR-RP-2014-04-026
                Funded by: NIHR Applied Research Collaboration West Midlands and the NIHR School for Primary Care Research;
                Funded by: Foundation for Research in Rheumatology (FOREUM);
                Funded by: National Health Service, the NIHR or the Department of Health and Social Care;
                Categories
                Clinical Science
                AcademicSubjects/MED00360
                AcademicSubjects/MED00360

                Rheumatology
                osteoarthritis,comorbidity,multimorbidity,temporal association,burden
                Rheumatology
                osteoarthritis, comorbidity, multimorbidity, temporal association, burden

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