Adaptation of the Charlson Comorbidity Index for Register-Based Research in SwedenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Global & Sexual Health Research Group (GloSH), Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; Faculty of Medicine, Department of Clinical Sciences Lund, Respiratory Medicine and Allergology, Lund University, Lund, Sweden.
Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Division of Hepatology, Department of Upper GI Diseases, Karolinska University Hospital, Stockholm, Sweden; Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; Department of Medicine, Karolinska Huddinge, Institutet, Stockholm, Sweden.
Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden; Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Department of Medical Epidemiology, Karolinska Institutet, Stockholm, Sweden.
Center for Primary Health Care Research, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
Department of Medical Sciences, Uppsala University, Uppsala, Sweden; The George Institute for Global Health, University of New South Wales, Sydney, Australia; Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York NY, USA.
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2021 (English)In: Clinical Epidemiology, E-ISSN 1179-1349, Vol. 13, p. 21-41
Article in journal (Refereed) Published
Abstract [en]
Purpose: 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.
Place, publisher, year, edition, pages
Dove Medical Press Ltd. , 2021. Vol. 13, p. 21-41
Keywords [en]
Charlson comorbidity score, comorbidity, disease, epidemiology, public health, Sweden
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:oru:diva-90442DOI: 10.2147/CLEP.S282475ISI: 000614055700001PubMedID: 33469380Scopus ID: 2-s2.0-85099720348OAI: oai:DiVA.org:oru-90442DiVA, id: diva2:1537332
2021-03-152021-03-152024-07-04Bibliographically approved