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A global survey on the use of the international classification of diseases codes for metabolic dysfunction-associated fatty liver disease

A global survey on the use of the international classification of diseases codes for metabolic dysfunction-associated fatty liver disease
A global survey on the use of the international classification of diseases codes for metabolic dysfunction-associated fatty liver disease
Background: with the implementation of the 11th edition of the International
Classification of Diseases (ICD-11) and publication of the metabolic dysfunction associated fatty liver disease (MAFLD) nomenclature in 2020, it is important to establish consensus for the coding of MAFLD in ICD-11. This will inform subsequent revisions of ICD-11.

Methods: using the Qualtrics XM and WJX platforms, questionnaires were sent
online to MAFLD-ICD-11 coding collaborators, authors of papers, and relevant
association members.

Results: a total of 890 international experts in various fields from 61 countries
responded to the survey. We also achieved full coverage of provincial-level
administrative regions in China. 77.1% of respondents agreed that MAFLD should be represented in ICD-11 by updating NAFLD, with no significant regional differences (77.3% in Asia and 76.6% in non-Asia, p=0.819). Over 80% of respondents agreed or somewhat agreed with the need to assign specific codes for progressive stages of MAFLD (i.e. steatohepatitis) (92.2%), MAFLD combined with comorbidities (84.1%), or MAFLD subtypes (i.e., lean, overweight/obese, and diabetic) (86.1%).

Conclusions: this global survey by a collaborative panel of clinical, coding, health
management and policy experts, indicates agreement that MAFLD should be coded in ICD-11. The data serves as a foundation for corresponding adjustments in the ICD-11 revision.
1936-0533
1178-1201
Zhang, Huai
94904987-9d8f-4223-9ed2-3fd71bcd1a38
Targher, Giovanni
fbfcf500-d63d-4503-b7dd-8a3f47d9acf4
Byrne, Chris
1370b997-cead-4229-83a7-53301ed2a43c
MAFLD ICD-11 coding collaborators
Zhang, Huai
94904987-9d8f-4223-9ed2-3fd71bcd1a38
Targher, Giovanni
fbfcf500-d63d-4503-b7dd-8a3f47d9acf4
Byrne, Chris
1370b997-cead-4229-83a7-53301ed2a43c

Zhang, Huai, Targher, Giovanni and Byrne, Chris , MAFLD ICD-11 coding collaborators (2024) A global survey on the use of the international classification of diseases codes for metabolic dysfunction-associated fatty liver disease. Hepatology International, 18 (4), 1178-1201.

Record type: Article

Abstract

Background: with the implementation of the 11th edition of the International
Classification of Diseases (ICD-11) and publication of the metabolic dysfunction associated fatty liver disease (MAFLD) nomenclature in 2020, it is important to establish consensus for the coding of MAFLD in ICD-11. This will inform subsequent revisions of ICD-11.

Methods: using the Qualtrics XM and WJX platforms, questionnaires were sent
online to MAFLD-ICD-11 coding collaborators, authors of papers, and relevant
association members.

Results: a total of 890 international experts in various fields from 61 countries
responded to the survey. We also achieved full coverage of provincial-level
administrative regions in China. 77.1% of respondents agreed that MAFLD should be represented in ICD-11 by updating NAFLD, with no significant regional differences (77.3% in Asia and 76.6% in non-Asia, p=0.819). Over 80% of respondents agreed or somewhat agreed with the need to assign specific codes for progressive stages of MAFLD (i.e. steatohepatitis) (92.2%), MAFLD combined with comorbidities (84.1%), or MAFLD subtypes (i.e., lean, overweight/obese, and diabetic) (86.1%).

Conclusions: this global survey by a collaborative panel of clinical, coding, health
management and policy experts, indicates agreement that MAFLD should be coded in ICD-11. The data serves as a foundation for corresponding adjustments in the ICD-11 revision.

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More information

Accepted/In Press date: 25 May 2024
Published date: 1 August 2024
Additional Information: Full list of authors: Huai Zhang, Giovanni Targher, Christopher D Byrne, Seung Up Kim, Vincent Wai-Sun Wong, Luca Valenti, Myer Glickman, Jaime Ponce, Christos S Mantzoros, Javier Crespo, Henning Gronbaek, Wah Yang, Mohammed Eslam, Robert J Wong, Mariana Verdelho Machado, Ming-Lung Yu, Omar M Ghanem, Takeshi Okanoue, Jun-Feng Liu, Yong-ho Lee, Xiao-Yuan Xu, Qiuwei Pan, Meili Sui, Amedeo Lonardo, Yusuf Yilmaz, Li-Yong Zhu, Christophe Moreno, Luca Miele, Monica Lupsor-Platon, Lei Zhao, Teresa LeAnn LaMasters, Robert G Gish, Huijie Zhang, Marius Nedelcu, Wah Kheong Chan, Ming-Feng Xia, Fernando Bril, Jun-Ping Shi, Christian Datz, Stefano Romeo, Jian Sun, Dan Liu, Silvia Sookoian, Yi-Min Mao, Nahum Méndez-Sánchez, Xiao-Yan Wang, Nikolaos T. Pyrsopoulos, Jian-Gao Fan, Yasser Fouad, Dan-Qin Sun, Cosimo Giannini, Jin Chai, Ze-Feng Xia, Dae Won Jun, Guo-Jing Li, Sombat Treeprasertsuk, Ying-Xu Li, Tan To Cheung, Faming Zhang, George Boon-Bee Goh, Masato Furuhashi, Wai-Kay Seto, Hui Huang, Anna Di Sessa, Qing-Hong Li, Evangelos Cholongitas, Le Zhang, Themis Reverbel Silveira, Giada Sebastiani, Leon A. Adams, Wei Chen, Xiaolong Qi, Ivan Rankovic, Victor De Ledinghen, Wen-Jie Lv, Masahide Hamaguchi, Radwan Kassir, Dirk Müller-Wieland, Manuel Romero-Gomez, Ying Xu, Yi-Cong Xu, Shi-Yao Chen, Mohammad Kermansaravi, Mohammad Shafi Kuchay, Sander Lefere, Chetan Parmar, Gregory Y. H. Lip, Chun-Jen Liu, Fredrik Åberg, George Lau, Jacob George, Shiv Kumar Sarin, Jing-Ya Zhou, Ming-Hua Zheng, on behalf of the MAFLD ICD-11 coding collaborators.

Identifiers

Local EPrints ID: 490506
URI: http://eprints.soton.ac.uk/id/eprint/490506
ISSN: 1936-0533
PURE UUID: b3562231-c029-49fc-8ce0-bd81ec73ab9a
ORCID for Chris Byrne: ORCID iD orcid.org/0000-0001-6322-7753

Catalogue record

Date deposited: 29 May 2024 16:37
Last modified: 02 Oct 2024 01:37

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Contributors

Author: Huai Zhang
Author: Giovanni Targher
Author: Chris Byrne ORCID iD
Corporate Author: MAFLD ICD-11 coding collaborators

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