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757. Evaluating Use of the New ICD-10 Codes for Clostridioides difficile Infection in the Premier U.S. Hospital Discharge Database

BACKGROUND: The single ICD-10 code for Clostridioides difficile infection (CDI) A04.7 was replaced in Oct 2017 with two codes delineating “recurrent CDI” (rCDI, A04.71) and “nonrecurrent CDI” (nrCDI, A04.72). This study aims to evaluate and validate use of the new ICD-10 codes for CDI among inpatien...

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Autores principales: Deshpande, Abhishek, Chen, Yiyun, Boye-Codjoe, Eugenia, Obi, Engels N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644099/
http://dx.doi.org/10.1093/ofid/ofab466.954
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author Deshpande, Abhishek
Chen, Yiyun
Boye-Codjoe, Eugenia
Obi, Engels N
author_facet Deshpande, Abhishek
Chen, Yiyun
Boye-Codjoe, Eugenia
Obi, Engels N
author_sort Deshpande, Abhishek
collection PubMed
description BACKGROUND: The single ICD-10 code for Clostridioides difficile infection (CDI) A04.7 was replaced in Oct 2017 with two codes delineating “recurrent CDI” (rCDI, A04.71) and “nonrecurrent CDI” (nrCDI, A04.72). This study aims to evaluate and validate use of the new ICD-10 codes for CDI among inpatient encounters at hospitals contributing to the Premier Healthcare Database (PHD). METHODS: This retrospective study included inpatient encounters with a CDI-related ICD code between Oct 2016-May 2019 in the PHD. Trends in CDI-related ICD coding were examined pre- and post- the Oct 2017 code update. Post Oct 2017, CDI-related inpatient encounters were characterized by clinical, facility, and provider variables, and whether coding was concordant or discordant to the 2017 IDSA guidelines ‘within 60-days (2 months) from index CDI episode’ time window for capturing rCDI. Multivariable regression examined variables associated with concordant coding. RESULTS: There was widespread adoption of the new CDI codes across hospitals in the PHD in Oct 2017. Post-Oct 2017, a total of 21,446 CDI-related encounters met sample selection criteria. About 67% of rCDI encounters and 25% of nrCDI encounters were coded concordantly. In the overall sample, the rCDI vs. nrCDI-coded encounters (p< 0.05) had higher proportions with emergency room admission, admitted by a gastroenterologist or infectious disease specialist, and receiving fidaxomicin, bezlotoxumab or FMT. Trends in inpatient characteristics for rCDI vs. nrCDI-coded encounters did not differ by coding concordance status. In regression analyses, encounters coded concordantly were significantly more likely to be for rCDI (OR 5.67), a non-elective admission (OR 1.17-1.42), or prescribed fidaxomicin (OR 1.11), or FMT (OR 1.29). Encounter Frequency [Image: see text] Frequency Table [Image: see text] Resource and Cost Table [Image: see text] CONCLUSION: There was no delay in transition to the new CDI-related ICD codes across hospitals in the PHD. Important for disease management, drug treatment trends for encounters coded as rCDI vs. nrCDI were consistent with guideline-recommendations for CDI. Coding concordance status based on the IDSA 60-day time window for identifying rCDI did not affect direction of observed trends in descriptive analyses, suggesting that other validation methods maybe needed. Regression Table [Image: see text] DISCLOSURES: Abhishek Deshpande, MD, PhD, Merck & Co., Inc (Consultant, Shareholder)The Clorox Company (Grant/Research Support) Yiyun Chen, PhD, Merck & Co., Inc (Employee) Eugenia Boye-Codjoe, MPH, Merck & Co., Inc (Employee) Engels N. Obi, PhD, Merck & Co. (Employee, Shareholder)
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spelling pubmed-86440992021-12-06 757. Evaluating Use of the New ICD-10 Codes for Clostridioides difficile Infection in the Premier U.S. Hospital Discharge Database Deshpande, Abhishek Chen, Yiyun Boye-Codjoe, Eugenia Obi, Engels N Open Forum Infect Dis Poster Abstracts BACKGROUND: The single ICD-10 code for Clostridioides difficile infection (CDI) A04.7 was replaced in Oct 2017 with two codes delineating “recurrent CDI” (rCDI, A04.71) and “nonrecurrent CDI” (nrCDI, A04.72). This study aims to evaluate and validate use of the new ICD-10 codes for CDI among inpatient encounters at hospitals contributing to the Premier Healthcare Database (PHD). METHODS: This retrospective study included inpatient encounters with a CDI-related ICD code between Oct 2016-May 2019 in the PHD. Trends in CDI-related ICD coding were examined pre- and post- the Oct 2017 code update. Post Oct 2017, CDI-related inpatient encounters were characterized by clinical, facility, and provider variables, and whether coding was concordant or discordant to the 2017 IDSA guidelines ‘within 60-days (2 months) from index CDI episode’ time window for capturing rCDI. Multivariable regression examined variables associated with concordant coding. RESULTS: There was widespread adoption of the new CDI codes across hospitals in the PHD in Oct 2017. Post-Oct 2017, a total of 21,446 CDI-related encounters met sample selection criteria. About 67% of rCDI encounters and 25% of nrCDI encounters were coded concordantly. In the overall sample, the rCDI vs. nrCDI-coded encounters (p< 0.05) had higher proportions with emergency room admission, admitted by a gastroenterologist or infectious disease specialist, and receiving fidaxomicin, bezlotoxumab or FMT. Trends in inpatient characteristics for rCDI vs. nrCDI-coded encounters did not differ by coding concordance status. In regression analyses, encounters coded concordantly were significantly more likely to be for rCDI (OR 5.67), a non-elective admission (OR 1.17-1.42), or prescribed fidaxomicin (OR 1.11), or FMT (OR 1.29). Encounter Frequency [Image: see text] Frequency Table [Image: see text] Resource and Cost Table [Image: see text] CONCLUSION: There was no delay in transition to the new CDI-related ICD codes across hospitals in the PHD. Important for disease management, drug treatment trends for encounters coded as rCDI vs. nrCDI were consistent with guideline-recommendations for CDI. Coding concordance status based on the IDSA 60-day time window for identifying rCDI did not affect direction of observed trends in descriptive analyses, suggesting that other validation methods maybe needed. Regression Table [Image: see text] DISCLOSURES: Abhishek Deshpande, MD, PhD, Merck & Co., Inc (Consultant, Shareholder)The Clorox Company (Grant/Research Support) Yiyun Chen, PhD, Merck & Co., Inc (Employee) Eugenia Boye-Codjoe, MPH, Merck & Co., Inc (Employee) Engels N. Obi, PhD, Merck & Co. (Employee, Shareholder) Oxford University Press 2021-12-04 /pmc/articles/PMC8644099/ http://dx.doi.org/10.1093/ofid/ofab466.954 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Abstracts
Deshpande, Abhishek
Chen, Yiyun
Boye-Codjoe, Eugenia
Obi, Engels N
757. Evaluating Use of the New ICD-10 Codes for Clostridioides difficile Infection in the Premier U.S. Hospital Discharge Database
title 757. Evaluating Use of the New ICD-10 Codes for Clostridioides difficile Infection in the Premier U.S. Hospital Discharge Database
title_full 757. Evaluating Use of the New ICD-10 Codes for Clostridioides difficile Infection in the Premier U.S. Hospital Discharge Database
title_fullStr 757. Evaluating Use of the New ICD-10 Codes for Clostridioides difficile Infection in the Premier U.S. Hospital Discharge Database
title_full_unstemmed 757. Evaluating Use of the New ICD-10 Codes for Clostridioides difficile Infection in the Premier U.S. Hospital Discharge Database
title_short 757. Evaluating Use of the New ICD-10 Codes for Clostridioides difficile Infection in the Premier U.S. Hospital Discharge Database
title_sort 757. evaluating use of the new icd-10 codes for clostridioides difficile infection in the premier u.s. hospital discharge database
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644099/
http://dx.doi.org/10.1093/ofid/ofab466.954
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