Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests

J Boursier; Marine Roux; Charlotte Costentin; Julien Chaigneau; Céline Fournier-Poizat; Aldo Trylesinski; CM Canivet; Sophie Michalak; Bail B Le; Valérie Paradis; Pierre Bedossa; Nathalie Sturm; Ledinghen V de; Justine Barthelon; J Boursier; Paul Cales; C Canivet; Thomas Decaens; Adèle Delamarre; Paul Hermabessiere; Marie Irles-Depé; Ledinghen V de; Marie Noelle Hilleret; Isabelle Fouchard-Hubert; Adrien Lannes; Bail B Le; Valérie Moal; Fréderic Oberti; Michael Allison; Quentin M. Anstee; Jeremy F. Cobbold; Jonathan J. Deeks; Peter J. Eddowes; Indra N. Guha; David Sheridan; Emmanuel Tsochatzis; Philip N. Newsome

doi:10.1038/s41467-023-40328-4

Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests

J Boursier, Marine Roux, Charlotte Costentin, Julien Chaigneau, Céline Fournier-Poizat, Aldo Trylesinski, CM Canivet, Sophie Michalak, Bail B Le, Valérie Paradis, Pierre Bedossa, Nathalie Sturm, Ledinghen V de, Justine Barthelon, J Boursier, Paul Cales, C Canivet, Thomas Decaens, Adèle Delamarre, Paul HermabessiereMarie Irles-Depé, Ledinghen V de, Marie Noelle Hilleret, Isabelle Fouchard-Hubert, Adrien Lannes, Bail B Le, Valérie Moal, Fréderic Oberti, Michael Allison, Quentin M. Anstee, Jeremy F. Cobbold, Jonathan J. Deeks, Peter J. Eddowes, Indra N. Guha, David Sheridan, Emmanuel Tsochatzis, Philip N. Newsome

Peninsula Medical School

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Abstract

Unlike for advanced liver fibrosis, the practical rules for the early non-invasive diagnosis of cirrhosis in NAFLD remain not well defined. Here, we report the derivation and validation of a stepwise diagnostic algorithm in 1568 patients with NAFLD and liver biopsy coming from four independent cohorts. The study algorithm, using first the elastography-based tests Agile3+ and Agile4 and then the specialized blood tests FibroMeterV3G and CirrhoMeterV3G, provides stratification in four groups, the last of which is enriched in cirrhosis (71% prevalence in the validation set). A risk prediction chart is also derived to allow estimation of the individual probability of cirrhosis. The predicted risk shows excellent calibration in the validation set, and mean difference with perfect prediction is only −2.9%. These tools improve the personalized non-invasive diagnosis of cirrhosis in NAFLD.

Original language	English
Number of pages	0
Journal	Nature Communications
Volume	14
Issue number	1
Early online date	26 Aug 2023
DOIs	https://doi.org/10.1038/s41467-023-40328-4
Publication status	E-pub ahead of print - 26 Aug 2023

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10.1038/s41467-023-40328-4

Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests

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Boursier, J., Roux, M., Costentin, C., Chaigneau, J., Fournier-Poizat, C., Trylesinski, A., Canivet, CM., Michalak, S., Le, B. B., Paradis, V., Bedossa, P., Sturm, N., de, L. V., Barthelon, J., Boursier, J., Cales, P., Canivet, C., Decaens, T., Delamarre, A., ... Newsome, P. N. (2023). Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests. Nature Communications, 14(1). Advance online publication. https://doi.org/10.1038/s41467-023-40328-4

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title = "Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests",

abstract = "Unlike for advanced liver fibrosis, the practical rules for the early non-invasive diagnosis of cirrhosis in NAFLD remain not well defined. Here, we report the derivation and validation of a stepwise diagnostic algorithm in 1568 patients with NAFLD and liver biopsy coming from four independent cohorts. The study algorithm, using first the elastography-based tests Agile3+ and Agile4 and then the specialized blood tests FibroMeterV3G and CirrhoMeterV3G, provides stratification in four groups, the last of which is enriched in cirrhosis (71% prevalence in the validation set). A risk prediction chart is also derived to allow estimation of the individual probability of cirrhosis. The predicted risk shows excellent calibration in the validation set, and mean difference with perfect prediction is only −2.9%. These tools improve the personalized non-invasive diagnosis of cirrhosis in NAFLD.",

author = "J Boursier and Marine Roux and Charlotte Costentin and Julien Chaigneau and C{\'e}line Fournier-Poizat and Aldo Trylesinski and CM Canivet and Sophie Michalak and Le, {Bail B} and Val{\'e}rie Paradis and Pierre Bedossa and Nathalie Sturm and de, {Ledinghen V} and Justine Barthelon and J Boursier and Paul Cales and C Canivet and Thomas Decaens and Ad{\`e}le Delamarre and Paul Hermabessiere and Marie Irles-Dep{\'e} and de, {Ledinghen V} and Hilleret, {Marie Noelle} and Isabelle Fouchard-Hubert and Adrien Lannes and Le, {Bail B} and Val{\'e}rie Moal and Fr{\'e}deric Oberti and Michael Allison and Anstee, {Quentin M.} and Cobbold, {Jeremy F.} and Deeks, {Jonathan J.} and Eddowes, {Peter J.} and Guha, {Indra N.} and David Sheridan and Emmanuel Tsochatzis and Newsome, {Philip N.}",

year = "2023",

month = aug,

day = "26",

doi = "10.1038/s41467-023-40328-4",

language = "English",

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Boursier, J, Roux, M, Costentin, C, Chaigneau, J, Fournier-Poizat, C, Trylesinski, A, Canivet, CM, Michalak, S, Le, BB, Paradis, V, Bedossa, P, Sturm, N, de, LV, Barthelon, J, Boursier, J, Cales, P, Canivet, C, Decaens, T, Delamarre, A, Hermabessiere, P, Irles-Depé, M, de, LV, Hilleret, MN, Fouchard-Hubert, I, Lannes, A, Le, BB, Moal, V, Oberti, F, Allison, M, Anstee, QM, Cobbold, JF, Deeks, JJ, Eddowes, PJ, Guha, IN, Sheridan, D, Tsochatzis, E & Newsome, PN 2023, 'Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests', Nature Communications, vol. 14, no. 1. https://doi.org/10.1038/s41467-023-40328-4

TY - JOUR

T1 - Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests

AU - Boursier, J

AU - Roux, Marine

AU - Costentin, Charlotte

AU - Chaigneau, Julien

AU - Fournier-Poizat, Céline

AU - Trylesinski, Aldo

AU - Canivet, CM

AU - Michalak, Sophie

AU - Le, Bail B

AU - Paradis, Valérie

AU - Bedossa, Pierre

AU - Sturm, Nathalie

AU - de, Ledinghen V

AU - Barthelon, Justine

AU - Boursier, J

AU - Cales, Paul

AU - Canivet, C

AU - Decaens, Thomas

AU - Delamarre, Adèle

AU - Hermabessiere, Paul

AU - Irles-Depé, Marie

AU - de, Ledinghen V

AU - Hilleret, Marie Noelle

AU - Fouchard-Hubert, Isabelle

AU - Lannes, Adrien

AU - Le, Bail B

AU - Moal, Valérie

AU - Oberti, Fréderic

AU - Allison, Michael

AU - Anstee, Quentin M.

AU - Cobbold, Jeremy F.

AU - Deeks, Jonathan J.

AU - Eddowes, Peter J.

AU - Guha, Indra N.

AU - Sheridan, David

AU - Tsochatzis, Emmanuel

AU - Newsome, Philip N.

PY - 2023/8/26

Y1 - 2023/8/26

N2 - Unlike for advanced liver fibrosis, the practical rules for the early non-invasive diagnosis of cirrhosis in NAFLD remain not well defined. Here, we report the derivation and validation of a stepwise diagnostic algorithm in 1568 patients with NAFLD and liver biopsy coming from four independent cohorts. The study algorithm, using first the elastography-based tests Agile3+ and Agile4 and then the specialized blood tests FibroMeterV3G and CirrhoMeterV3G, provides stratification in four groups, the last of which is enriched in cirrhosis (71% prevalence in the validation set). A risk prediction chart is also derived to allow estimation of the individual probability of cirrhosis. The predicted risk shows excellent calibration in the validation set, and mean difference with perfect prediction is only −2.9%. These tools improve the personalized non-invasive diagnosis of cirrhosis in NAFLD.

AB - Unlike for advanced liver fibrosis, the practical rules for the early non-invasive diagnosis of cirrhosis in NAFLD remain not well defined. Here, we report the derivation and validation of a stepwise diagnostic algorithm in 1568 patients with NAFLD and liver biopsy coming from four independent cohorts. The study algorithm, using first the elastography-based tests Agile3+ and Agile4 and then the specialized blood tests FibroMeterV3G and CirrhoMeterV3G, provides stratification in four groups, the last of which is enriched in cirrhosis (71% prevalence in the validation set). A risk prediction chart is also derived to allow estimation of the individual probability of cirrhosis. The predicted risk shows excellent calibration in the validation set, and mean difference with perfect prediction is only −2.9%. These tools improve the personalized non-invasive diagnosis of cirrhosis in NAFLD.

U2 - 10.1038/s41467-023-40328-4

DO - 10.1038/s41467-023-40328-4

M3 - Article

SN - 2041-1723

VL - 14

JO - Nature Communications

JF - Nature Communications

IS - 1

ER -

Practical diagnosis of cirrhosis in non-alcoholic fatty liver disease using currently available non-invasive fibrosis tests

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