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Adaptation of the Charlson comorbidity index for register-based research in Sweden
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Pediatrics, Orebro University Hospital, Orebro, Sweden; Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, Nottingham, United Kingdom; Department of Medicine, Columbia University College of Physicians and Surgeons, NY, New York, United States.
University Health Care Research Center, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Rheumatology, Theme Inflammation and Infection, Karolinska University Hospital, Stockholm, Sweden.
Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
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2021 (English)In: Clinical Epidemiology, ISSN 1179-1349, E-ISSN 1179-1349, Vol. 13, p. 21-41Article 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 contentbetween 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:umu:diva-186203DOI: 10.2147/CLEP.S282475ISI: 000614055700001PubMedID: 33469380Scopus ID: 2-s2.0-85099720348OAI: oai:DiVA.org:umu-186203DiVA, id: diva2:1581098
Available from: 2021-07-19 Created: 2021-07-19 Last updated: 2023-03-24Bibliographically approved

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Järvholm, Bengt

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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More languages
Output format
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