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324. Lack of Accuracy of the International Classification of Disease, Ninth (ICD-9) Codes in Identifying Patients With Encephalitis

BACKGROUND: ICD-9 codes have been widely used in studies utilizing large national databases that evaluate the clinical epidemiology of encephalitis in the United States. Many studies have showed that ICD-9 codes have poor accuracy in stroke, multiple sclerosis and pulmonary fibrosis but their utilit...

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Autores principales: Samannodi, Mohammed, Hansen, Michael, Hasbun, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255549/
http://dx.doi.org/10.1093/ofid/ofy210.335
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author Samannodi, Mohammed
Hansen, Michael
Hasbun, Rodrigo
author_facet Samannodi, Mohammed
Hansen, Michael
Hasbun, Rodrigo
author_sort Samannodi, Mohammed
collection PubMed
description BACKGROUND: ICD-9 codes have been widely used in studies utilizing large national databases that evaluate the clinical epidemiology of encephalitis in the United States. Many studies have showed that ICD-9 codes have poor accuracy in stroke, multiple sclerosis and pulmonary fibrosis but their utility in encephalitis is unknown. METHODS: Retrospective study of all adults with a discharge diagnosis of encephalitis by an ICD-9 code. The study was performed in 17 hospitals from the Memorial Hermann Hospital and Harris Health Hospital system in the Greater Houston area from March 2010 until July 2015. Medical records were reviewed and a case was considered accurately classified as encephalitis if they met the definition established by the international encephalitis consortium. RESULTS: A total of 1,241 cases were identified by a discharge diagnosis of ICD-9 code as having encephalitis. The most common cause identified was not having a central nervous system infection in 580 (46.7%) patients. A total of 244 (19.6%) patients were correctly identified as having encephalitis. Other causes identified were nosocomial meningitis (11.9%), community-acquired bacterial meningitis (8.1%), aseptic meningitis (5.8%), fungal meningitis (5.4%), tuberculosis (2.0%), and parasitic meningitis (0.2%). CONCLUSION: ICD-9 codes have poor reliability in identifying patients with encephalitis questioning the accuracy of large nationwide studies that utilize them to identify patients. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62555492018-11-28 324. Lack of Accuracy of the International Classification of Disease, Ninth (ICD-9) Codes in Identifying Patients With Encephalitis Samannodi, Mohammed Hansen, Michael Hasbun, Rodrigo Open Forum Infect Dis Abstracts BACKGROUND: ICD-9 codes have been widely used in studies utilizing large national databases that evaluate the clinical epidemiology of encephalitis in the United States. Many studies have showed that ICD-9 codes have poor accuracy in stroke, multiple sclerosis and pulmonary fibrosis but their utility in encephalitis is unknown. METHODS: Retrospective study of all adults with a discharge diagnosis of encephalitis by an ICD-9 code. The study was performed in 17 hospitals from the Memorial Hermann Hospital and Harris Health Hospital system in the Greater Houston area from March 2010 until July 2015. Medical records were reviewed and a case was considered accurately classified as encephalitis if they met the definition established by the international encephalitis consortium. RESULTS: A total of 1,241 cases were identified by a discharge diagnosis of ICD-9 code as having encephalitis. The most common cause identified was not having a central nervous system infection in 580 (46.7%) patients. A total of 244 (19.6%) patients were correctly identified as having encephalitis. Other causes identified were nosocomial meningitis (11.9%), community-acquired bacterial meningitis (8.1%), aseptic meningitis (5.8%), fungal meningitis (5.4%), tuberculosis (2.0%), and parasitic meningitis (0.2%). CONCLUSION: ICD-9 codes have poor reliability in identifying patients with encephalitis questioning the accuracy of large nationwide studies that utilize them to identify patients. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6255549/ http://dx.doi.org/10.1093/ofid/ofy210.335 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Samannodi, Mohammed
Hansen, Michael
Hasbun, Rodrigo
324. Lack of Accuracy of the International Classification of Disease, Ninth (ICD-9) Codes in Identifying Patients With Encephalitis
title 324. Lack of Accuracy of the International Classification of Disease, Ninth (ICD-9) Codes in Identifying Patients With Encephalitis
title_full 324. Lack of Accuracy of the International Classification of Disease, Ninth (ICD-9) Codes in Identifying Patients With Encephalitis
title_fullStr 324. Lack of Accuracy of the International Classification of Disease, Ninth (ICD-9) Codes in Identifying Patients With Encephalitis
title_full_unstemmed 324. Lack of Accuracy of the International Classification of Disease, Ninth (ICD-9) Codes in Identifying Patients With Encephalitis
title_short 324. Lack of Accuracy of the International Classification of Disease, Ninth (ICD-9) Codes in Identifying Patients With Encephalitis
title_sort 324. lack of accuracy of the international classification of disease, ninth (icd-9) codes in identifying patients with encephalitis
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255549/
http://dx.doi.org/10.1093/ofid/ofy210.335
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