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Feasibility of coding-based Charlson comorbidity index for hospitalized patients in China, a representative developing country
BACKGROUND: The Charlson Comorbidity Index (CCI) can be automatically calculated from the International Classification of Disease (ICD) code. However, the feasibility of this transformation has not been acknowledged, particularly in hospitals without a qualified ICD coding system. Here, we investiga...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236530/ https://www.ncbi.nlm.nih.gov/pubmed/32423399 http://dx.doi.org/10.1186/s12913-020-05273-8 |
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author | Mo, Liyi Xie, Zhen Liu, Guohui He, Qiang Mo, Zhiming Wu, Yanhua Wang, Wenji Ding, Feng Liao, Yuanjiang Hao, Li Lu, Chen Sun, Jin Xu, Libin Zhang, Yusheng Ghappar, Rizwangul Peng, Hongwei Wei, Xiaohong Xie, Jinglie Chen, Yuanhan Liang, Xinling |
author_facet | Mo, Liyi Xie, Zhen Liu, Guohui He, Qiang Mo, Zhiming Wu, Yanhua Wang, Wenji Ding, Feng Liao, Yuanjiang Hao, Li Lu, Chen Sun, Jin Xu, Libin Zhang, Yusheng Ghappar, Rizwangul Peng, Hongwei Wei, Xiaohong Xie, Jinglie Chen, Yuanhan Liang, Xinling |
author_sort | Mo, Liyi |
collection | PubMed |
description | BACKGROUND: The Charlson Comorbidity Index (CCI) can be automatically calculated from the International Classification of Disease (ICD) code. However, the feasibility of this transformation has not been acknowledged, particularly in hospitals without a qualified ICD coding system. Here, we investigated the utility of coding-based CCI in China. METHODS: A multi-center, population-based, retrospective observational study was conducted, using a dataset incorporating 2,464,395 adult subjects from 15 hospitals. CCI was calculated using both ICD-10-based and diagnosis-based method, according to the transformation rule reported previously and to the literal description from discharge diagnosis, respectively. A κ coefficient of variation was used as a measure of agreement between the above two methods for each hospital. The discriminative abilities of the two methods were compared using the receiver-of-operating characteristic curve (ROC) for prediction of in-hospital mortality. RESULTS: Total agreement between the ICD-based and diagnosis-based CCI for each index ranged from 86.1 to 100%, with κ coefficients from 0.210 [95% confidence interval (CI) 0.208–0.212] to 0.932 (95% CI 0.924–0.940). None of the 19 indices of CCI had a κ coefficient > 0.75 in all the hospitals included for study. The area under the curve of ROC for in-hospital mortality of all 15 hospitals was significantly lower for ICD-based than diagnosis-based CCI [0.735 (0.732, 0.739) vs 0.760 (0.757, 0.764)], indicative of more limited discriminative ability of the ICD-based calculation. CONCLUSIONS: CCI calculated using ICD-10 coding did not agree with diagnosis-based CCI. ICD-based CCI displayed diminished discrimination performance in terms of in-hospital mortality, indicating that this method is not promising for CCI scoring in China under the present circumstances. |
format | Online Article Text |
id | pubmed-7236530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72365302020-05-29 Feasibility of coding-based Charlson comorbidity index for hospitalized patients in China, a representative developing country Mo, Liyi Xie, Zhen Liu, Guohui He, Qiang Mo, Zhiming Wu, Yanhua Wang, Wenji Ding, Feng Liao, Yuanjiang Hao, Li Lu, Chen Sun, Jin Xu, Libin Zhang, Yusheng Ghappar, Rizwangul Peng, Hongwei Wei, Xiaohong Xie, Jinglie Chen, Yuanhan Liang, Xinling BMC Health Serv Res Research Article BACKGROUND: The Charlson Comorbidity Index (CCI) can be automatically calculated from the International Classification of Disease (ICD) code. However, the feasibility of this transformation has not been acknowledged, particularly in hospitals without a qualified ICD coding system. Here, we investigated the utility of coding-based CCI in China. METHODS: A multi-center, population-based, retrospective observational study was conducted, using a dataset incorporating 2,464,395 adult subjects from 15 hospitals. CCI was calculated using both ICD-10-based and diagnosis-based method, according to the transformation rule reported previously and to the literal description from discharge diagnosis, respectively. A κ coefficient of variation was used as a measure of agreement between the above two methods for each hospital. The discriminative abilities of the two methods were compared using the receiver-of-operating characteristic curve (ROC) for prediction of in-hospital mortality. RESULTS: Total agreement between the ICD-based and diagnosis-based CCI for each index ranged from 86.1 to 100%, with κ coefficients from 0.210 [95% confidence interval (CI) 0.208–0.212] to 0.932 (95% CI 0.924–0.940). None of the 19 indices of CCI had a κ coefficient > 0.75 in all the hospitals included for study. The area under the curve of ROC for in-hospital mortality of all 15 hospitals was significantly lower for ICD-based than diagnosis-based CCI [0.735 (0.732, 0.739) vs 0.760 (0.757, 0.764)], indicative of more limited discriminative ability of the ICD-based calculation. CONCLUSIONS: CCI calculated using ICD-10 coding did not agree with diagnosis-based CCI. ICD-based CCI displayed diminished discrimination performance in terms of in-hospital mortality, indicating that this method is not promising for CCI scoring in China under the present circumstances. BioMed Central 2020-05-18 /pmc/articles/PMC7236530/ /pubmed/32423399 http://dx.doi.org/10.1186/s12913-020-05273-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Mo, Liyi Xie, Zhen Liu, Guohui He, Qiang Mo, Zhiming Wu, Yanhua Wang, Wenji Ding, Feng Liao, Yuanjiang Hao, Li Lu, Chen Sun, Jin Xu, Libin Zhang, Yusheng Ghappar, Rizwangul Peng, Hongwei Wei, Xiaohong Xie, Jinglie Chen, Yuanhan Liang, Xinling Feasibility of coding-based Charlson comorbidity index for hospitalized patients in China, a representative developing country |
title | Feasibility of coding-based Charlson comorbidity index for hospitalized patients in China, a representative developing country |
title_full | Feasibility of coding-based Charlson comorbidity index for hospitalized patients in China, a representative developing country |
title_fullStr | Feasibility of coding-based Charlson comorbidity index for hospitalized patients in China, a representative developing country |
title_full_unstemmed | Feasibility of coding-based Charlson comorbidity index for hospitalized patients in China, a representative developing country |
title_short | Feasibility of coding-based Charlson comorbidity index for hospitalized patients in China, a representative developing country |
title_sort | feasibility of coding-based charlson comorbidity index for hospitalized patients in china, a representative developing country |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236530/ https://www.ncbi.nlm.nih.gov/pubmed/32423399 http://dx.doi.org/10.1186/s12913-020-05273-8 |
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