TY - JOUR
T1 - A global survey on the use of the international classification of diseases codes for metabolic dysfunction-associated fatty liver disease
AU - Zhang, Huai
AU - Targher, Giovanni
AU - Byrne, Christopher D.
AU - Kim, Seung Up
AU - Wong, Vincent Wai-Sun
AU - Valenti, Luca
AU - Glickman, Myer
AU - Ponce, Jaime
AU - Mantzoros, Christos S.
AU - Crespo, Javier
AU - Gronbaek, Henning
AU - Yang, Wah
AU - Eslam, Mohammed
AU - Wong, Robert J.
AU - Machado, Mariana Verdelho
AU - Yu, Ming-Lung
AU - Ghanem, Omar M.
AU - Okanoue, Takeshi
AU - Liu, Jun-Feng
AU - Lee, Yong-ho
AU - Xu, Xiao-Yuan
AU - Pan, Qiuwei
AU - Sui, Meili
AU - Lonardo, Amedeo
AU - Yilmaz, Yusuf
AU - Zhu, Li-Yong
AU - Moreno, Christophe
AU - Miele, Luca
AU - Lupsor-Platon, Monica
AU - Zhao, Lei
AU - LaMasters, Teresa Le Ann
AU - Gish, Robert G.
AU - Zhang, Huijie
AU - Nedelcu, Marius
AU - Chan, Wah Kheong
AU - Xia, Ming-Feng
AU - Bril, Fernando
AU - Shi, Jun-Ping
AU - Datz, Christian
AU - Romeo, Stefano
AU - Sun, Jian
AU - Liu, Dan
AU - Sookoian, Silvia
AU - Mao, Yi-Min
AU - Méndez-Sánchez, Nahum
AU - Wang, Xiao-Yan
AU - Pyrsopoulos, Nikolaos T.
AU - Fan, Jian-Gao
AU - Fouad, Yasser
AU - Sun, Dan-Qin
AU - Giannini, Cosimo
AU - Chai, Jin
AU - Xia, Ze-Feng
AU - Jun, Dae Won
AU - Li, Guo-Jing
AU - Treeprasertsuk, Sombat
AU - Li, Ying-Xu
AU - Cheung, Tan To
AU - Zhang, Faming
AU - Goh, George Boon-Bee
AU - Furuhashi, Masato
AU - Seto, Wai-Kay
AU - Huang, Hui
AU - Di Sessa, Anna
AU - Li, Qing-Hong
AU - Cholongitas, Evangelos
AU - Zhang, Le
AU - Silveira, Themis Reverbel
AU - Sebastiani, Giada
AU - Adams, Leon A.
AU - Chen, Wei
AU - Qi, Xiaolong
AU - Rankovic, Ivan
AU - De Ledinghen, Victor
AU - Lv, Wen-Jie
AU - Hamaguchi, Masahide
AU - Kassir, Radwan
AU - Müller-Wieland, Dirk
AU - Romero-Gomez, Manuel
AU - Xu, Ying
AU - Xu, Yi-Cong
AU - Chen, Shi-Yao
AU - Kermansaravi, Mohammad
AU - Kuchay, Mohammad Shafi
AU - Lefere, Sander
AU - Parmar, Chetan
AU - Lip, Gregory Y.H.
AU - Liu, Chun-Jen
AU - Åberg, Fredrik
AU - Lau, George
AU - George, Jacob
AU - Sarin, Shiv Kumar
AU - Zhou, Jing-Ya
AU - Zheng, Ming-Hua
AU - on behalf of the MAFLD ICD-11 coding collaborators
AU - Zhang, Huai
AU - Targher, Giovanni
AU - Byrne, Christopher D.
AU - Kim, Seung Up
AU - Wong, Vincent Wai Sun
AU - Valenti, Luca
AU - Glickman, Myer
AU - Ponce, Jaime
AU - Mantzoros, Christos S.
AU - Crespo, Javier
AU - Gronbaek, Henning
AU - Yang, Wah
AU - Eslam, Mohammed
AU - Wong, Robert J.
AU - Machado, Mariana Verdelho
AU - Yu, Ming-Lung
AU - Ghanem, Omar M.
AU - Okanoue, Takeshi
AU - Liu, Jun-Feng
AU - Lee, Yong-ho
AU - Xu, Xiao-Yuan
AU - Pan, Qiuwei
AU - Sui, Meili
AU - Lonardo, Amedeo
AU - Yilmaz, Yusuf
AU - Zhu, Li-Yong
AU - Moreno, Christophe
AU - Miele, Luca
AU - Lupsor-Platon, Monica
AU - Zhao, Lei
AU - LaMasters, Teresa Le Ann
AU - Gish, Robert G.
AU - Zhang, Huijie
AU - Nedelcu, Marius
AU - Chan, Wah Kheong
AU - Xia, Ming-Feng
AU - Bril, Fernando
AU - Shi, Jun-Ping
AU - Datz, Christian
AU - Romeo, Stefano
AU - Sun, Jian
AU - Liu, Dan
AU - Sookoian, Silvia
AU - Mao, Yi-Min
AU - Méndez-Sánchez, Nahum
AU - Wang, Xiao-Yan
AU - Pyrsopoulos, Nikolaos T.
AU - Fan, Jian-Gao
AU - Fouad, Yasser
AU - Sun, Dan-Qin
AU - Giannini, Cosimo
AU - Chai, Jin
AU - Xia, Ze-Feng
AU - Jun, Dae Won
AU - Li, Guo-Jing
AU - Treeprasertsuk, Sombat
AU - Li, Ying-Xu
AU - Cheung, Tan To
AU - Zhang, Faming
AU - Goh, George Boon-Bee
AU - Furuhashi, Masato
AU - Seto, Wai-Kay
AU - Huang, Hui
AU - Di Sessa, Anna
AU - Li, Qing-Hong
AU - Cholongitas, Evangelos
AU - Zhang, Le
AU - Silveira, Themis Reverbel
AU - Sebastiani, Giada
AU - Adams, Leon A.
AU - Chen, Wei
AU - Qi, Xiaolong
AU - Rankovic, Ivan
AU - De Ledinghen, Victor
AU - Lv, Wen-Jie
AU - Hamaguchi, Masahide
AU - Kassir, Radwan
AU - Müller-Wieland, Dirk
AU - Romero-Gomez, Manuel
AU - Xu, Ying
AU - Xu, Yi-Cong
AU - Chen, Shi-Yao
AU - Kermansaravi, Mohammad
AU - Kuchay, Mohammad Shafi
AU - Lefere, Sander
AU - Parmar, Chetan
AU - Lip, Gregory Y.H.
AU - Liu, Chun-Jen
AU - Åberg, Fredrik
AU - Lau, George
AU - George, Jacob
AU - Sarin, Shiv Kumar
AU - Zhou, Jing-Ya
AU - Zheng, Ming-Hua
AU - Abbas, Zaigham
AU - Abd-Elsalam, Sherief
AU - Abenavoli, Ludovico
AU - Abou-Mrad, Adel Karim
AU - Abu-Abeid, Adam
AU - Acín-Gándara, Débora
AU - Aggarwal, Sandeep
AU - Ahlenstiel, Golo
AU - Akil, Fardah
AU - Alam, Shahinul
AU - Alboraie, Mohamed
AU - Alkhalidi, Nawal Mehdi Firhan
AU - Al-Qanbar, Maytham Hameed
AU - Alrubaiy, Laith
AU - Alvares-da-Silva, Mario Reis
AU - Alves, Antonio
AU - Amr, Bassem
AU - Ananchuensook, Prooksa
AU - Anastasopoulos, Nikolaos-Andreas Theodoros
AU - Andreevski, Vladimir
AU - Anselmino, Marco
AU - Apaer, Shadike
AU - Arias-Loste, Maria Teresa
AU - Armendariz-Borunda, Juan
AU - Arora, Anil Kumar
AU - Ashraf, Ambika P.
AU - Asreah, Rabah Hiab
AU - Athar, Rahmatullah
AU - Attia, Dina
AU - Awad, Selmy Sabry
AU - Baatarkhuu, Oidov
AU - Bacopoulou, Flora
AU - Bai, Hong-Lian
AU - Bai, Fei-Yun
AU - Barbalho, sandra Maria
AU - Barchetta, Ilaria
AU - Behari, Jaideep
AU - Behrens, Estuardo J.
AU - Bellanti, Francesco
AU - Bellinato, Francesco
AU - Bestari, Muhammad Begawan
AU - Chen, Hui Ting
AU - Chen, Jin
AU - Chen, Gang
AU - Li, Li
AU - Bhattacharya, Saptarshi
AU - Lin, Han Chieh
AU - Muller, Kate Rebecca
AU - Wang, Yan
AU - Wang, Yong
AU - Wang, Hui
AU - Wang, Feng Ling
AU - Wang, Ning Jian
AU - Wang, Yan
AU - Wang, Jing
AU - Wigg, Alan J.
AU - Xu, Wei Guo
AU - Yang, Yan Ling
AU - Zhang, Peng
AU - Zhang, Shu
AU - Zhang, Wei Wei
AU - Zhao, Jing Jie
PY - 2024/8
Y1 - 2024/8
N2 - Background: With the implementation of the 11th edition of the International Classification of Diseases (ICD-11) and the 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.
AB - Background: With the implementation of the 11th edition of the International Classification of Diseases (ICD-11) and the 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.
KW - Global survey
KW - ICD-11
KW - MAFLD
UR - http://www.scopus.com/inward/record.url?scp=85196002868&partnerID=8YFLogxK
U2 - 10.1007/s12072-024-10702-5
DO - 10.1007/s12072-024-10702-5
M3 - Article
C2 - 38878111
AN - SCOPUS:85196002868
SN - 1936-0533
VL - 18
SP - 1178
EP - 1201
JO - Hepatology International
JF - Hepatology International
IS - 4
ER -
