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

Jonas F. Ludvigsson(University of Nottingham), Peter Appelros(Örebro University), Johan Askling(Karolinska University Hospital), Liisa Byberg(Uppsala University), Juan Jesús Carrero(Karolinska Institutet), Anna Mia Ekström(Lund University), Magnus Ekström(Karolinska University Hospital), Karin E. Smedby(Karolinska Institutet), Hannes Hagström(Karolinska University Hospital), Stefan James(Uppsala University), Bengt Järvholm(Umeå University), Karl Michaëlsson(Uppsala University), Nancy L. Pedersen(Karolinska Institutet), Heléne E.K. Sundelin(Linköping University), Kristina Sundquist(Lund University), Johan Sundström(Uppsala University)
Clinical Epidemiology
January 1, 2021
Cited by 264Open Access
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Abstract

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.


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