ArticleBMC medical research methodology2022
Simple Excel and ICD-10 based dataset calculator for the Charlson and Elixhauser comorbidity indices.
Article in BMC medical research methodology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
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- Isolated greater trochanter fracture may impose a comparable risk on older patients' survival as a conventional hip fracture: a population-wide cohort study.BMC musculoskeletal disorders · 2022Article
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- The usefulness of Charlson Comorbidity Index (CCI) scoring in predicting all-cause mortality in Outpatients with Clinical Diagnoses of COPD.Journal of multimorbidity and comorbidityArticle
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6 authors.
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Abstract
backgroundThe Charlson and Elixhauser Comorbidity Indices are the most widely used comorbidity assessment methods in medical research. Both methods are adapted for use with the International Classification of Diseases, which 10th revision (ICD-10) is used by over a hundred countries in the world. Available Charlson and Elixhauser Comorbidity Index calculating methods are limited to a few applications with command-line user interfaces, all requiring specific programming language skills. This study aims to use Microsoft Excel to develop a non-programming and ICD-10 based dataset calculator for Charlson and Elixhauser Comorbidity Index and to validate its results with R- and SAS-based methods.
methodsThe Excel-based dataset calculator was developed using the program's formulae, ICD-10 coding algorithms, and different weights of the Charlson and Elixhauser Comorbidity Index. Real, population-wide, nine-year spanning, index hip fracture data from the Estonian Health Insurance Fund was used for validating the calculator. The Excel-based calculator's output values and processing speed were compared to R- and SAS-based methods.
resultsA total of 11,491 hip fracture patients' comorbidities were used for validating the Excel-based calculator. The Excel-based calculator's results were consistent, revealing no discrepancies, with R- and SAS-based methods while comparing 192,690 and 353,265 output values of Charlson and Elixhauser Comorbidity Index, respectively. The Excel-based calculator's processing speed was slower but differing only from a few seconds up to four minutes with datasets including 6250-200,000 patients.
conclusionsThis study proposes a novel, validated, and non-programming-based method for calculating Charlson and Elixhauser Comorbidity Index scores. As the comorbidity calculations can be conducted in Microsoft Excel's simple graphical point-and-click interface, the new method lowers the threshold for calculating these two widely used indices.
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