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.
journal_name
Clin Epidemioljournal_title
Clinical epidemiologyauthors
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 Jdoi
10.2147/CLEP.S282475subject
Has Abstractpub_date
2021-01-12 00:00:00pages
21-41issn
1179-1349pii
282475journal_volume
13pub_type
杂志文章abstract::Background: The Swedish National Patient Registry (NPR) is a nationwide registry that is used extensively for epidemiological research. Using the NPR, we recently found a recurrent pregnancy loss (RPL) incidence of 650/100,000 (0.65%) pregnant women in Sweden. It is of great importance that the quality of the coding i...
journal_title:Clinical epidemiology
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journal_title:Clinical epidemiology
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journal_title:Clinical epidemiology
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