Adaptation of the Charlson Comorbidity Index for Register-Based Research in Sweden

Autor: Ludvigsson JF, Appelros P, Askling J, Byberg L, Carrero JJ, Ekström AM, Ekström M, Smedby KE, Hagström H, James S, Järvholm B, Michaelsson K, Pedersen NL, Sundelin H, Sundquist K, Sundström J
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Clinical Epidemiology, Vol Volume 13, Pp 21-41 (2021)
Druh dokumentu: article
ISSN: 1179-1349
Popis: Jonas F Ludvigsson,1– 4 Peter Appelros,5 Johan Askling,6,7 Liisa Byberg,8 Juan-Jesus Carrero,1 Anna Mia Ekström,9,10 Magnus Ekström,11 Karin Ekström Smedby,6 Hannes Hagström,12– 14 Stefan James,15,16 Bengt Järvholm,17 Karl Michaelsson,8 Nancy L Pedersen,18 Helene Sundelin,19,20 Kristina Sundquist,21 Johan Sundström22– 24 1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; 2Department of Pediatrics, Orebro University Hospital, Orebro, Sweden; 3Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, Nottingham, UK; 4Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York, USA; 5University Health Care Research Center, Faculty of Medicine and Health, Örebro University, Örebro SE-701 82, Sweden; 6Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; 7Rheumatology, Theme Inflammation and Infection, Karolinska University Hospital, Stockholm, Sweden; 8Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; 9Global & Sexual Health Research Group (GloSH), Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; 10Faculty of Medicine, Department of Clinical Sciences Lund, Respiratory Medicine and Allergology, Lund University, Lund, Sweden; 11Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden; 12Division of Hepatology, Department of Upper GI Diseases, Karolinska University Hospital, Stockholm, Sweden; 13Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; 14Department of Medicine, Karolinska Huddinge, Institutet, Stockholm, Sweden; 15Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden; 16Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden; 17Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden; 18Department of Medical Epidemiology, Karolinska Institutet, Stockholm, Sweden; 19Neuropediatric Unit, Department of Women’s and Children’s Health, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden; 20Division of Children’s and Women’s Health, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden; 21Center for Primary Health Care Research, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden; 22Department of Medical Sciences, Uppsala University, Uppsala, Sweden; 23The George Institute for Global Health, University of New South Wales, Sydney, Australia; 24Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; 25Center for Community-Based Healthcare Research and Education (CoHRE), Department of Functional Pathology, School of Medicine, Shimane University, JapanCorrespondence: Jonas F LudvigssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, SwedenEmail jonasludvigsson@yahoo.comPurpose: Comorbidity indices are often used to measure comorbidities in register-based research. We aimed to adapt the Charlson comorbidity index (CCI) to a Swedish setting.Methods: Four versions of the CCI were compared and evaluated by disease-specific experts.Results: We created a cohesive coding system for CCI to 1) harmonize the content between different international classification of disease codes (ICD-7,8,9,10), 2) delete incorrect codes, 3) enhance the distinction between mild, moderate or severe disease (and between diabetes with and without end-organ damage), 4) minimize duplication of codes, and 5) briefly explain the meaning of individual codes in writing.Conclusion: This work may provide an integrated and efficient coding algorithm for CCI to be used in medical register-based research in Sweden.Keywords: Charlson comorbidity score, comorbidity, disease, epidemiology, public health, Sweden
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