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Evaluation of liver stiffness measurement–based scores in liver transplantation recipients

Combining bioclinical parameters with liver stiffness measurement (LSM) has improved the diagnostic performance of vibration‐controlled transient elastography (VCTE) for detection of advanced fibrosis in patients with chronic liver disease. However, this approach has not yet been tested in liver tra...

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Autores principales: Arshad, Tamoore, Bhati, Chandra S., Bui, Anh T., Tseng, Michael, Vainer, Dylan, Miller, Austin, Evans, Marie‐Claire, Syed, Taseen, Patel, Vaishali, Idowu, Michael O., Muthiah, Mark, Siddiqui, Mohammad Shadab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868070/
https://www.ncbi.nlm.nih.gov/pubmed/36036790
http://dx.doi.org/10.1002/lt.26568
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author Arshad, Tamoore
Bhati, Chandra S.
Bui, Anh T.
Tseng, Michael
Vainer, Dylan
Miller, Austin
Evans, Marie‐Claire
Syed, Taseen
Patel, Vaishali
Idowu, Michael O.
Muthiah, Mark
Siddiqui, Mohammad Shadab
author_facet Arshad, Tamoore
Bhati, Chandra S.
Bui, Anh T.
Tseng, Michael
Vainer, Dylan
Miller, Austin
Evans, Marie‐Claire
Syed, Taseen
Patel, Vaishali
Idowu, Michael O.
Muthiah, Mark
Siddiqui, Mohammad Shadab
author_sort Arshad, Tamoore
collection PubMed
description Combining bioclinical parameters with liver stiffness measurement (LSM) has improved the diagnostic performance of vibration‐controlled transient elastography (VCTE) for detection of advanced fibrosis in patients with chronic liver disease. However, this approach has not yet been tested in liver transplantation (LT) recipients. Thus, the aim of this study was to evaluate the diagnostic performance of combining LSM‐based scores with LSM alone for the detection of advanced fibrosis in LT recipients. Adult LT recipients with a liver biopsy, VCTE, and clinical data necessary to construct LSM‐based fibrosis models (FibroScan‐AST [FAST], AGILE‐3+, and AGILE‐4) were included (n = 132). The diagnostic statistics for advanced fibrosis (fibrosis stage 0–2 vs. 3–4) were determined by optimal cut‐off using the Youden index. The area under the receiver operating characteristic curve (AUROC) for LSM was 0.94 (95% confidence interval [95% CI], 0.89–0.99), FAST was 0.65 (95% CI, 0.50–0.79), AGILE‐3+ was 0.90 (95% CI, 0.83–0.97), and AGILE‐4 was 0.90 (95% CI, 0.83–0.97). No statistically significant differences were noted between the AUROC of LSM versus LSM‐based scores. The false‐positive rates for AGILE‐3+ and AGILE‐4 were 14.5% and 11.8% compared with 8.3% for LSM alone. The false‐positive rates in LSM‐based scores were higher among patients with diabetes mellitus, higher AST levels, and lower platelet counts. The LSM‐based scores did not improve the diagnostic performance of LSM alone in LT recipients for the detection of advanced fibrosis. This lack of improvement in diagnostic performance results from the impact of immunosuppression on bioclinical profile and underscores the importance of developing LSM‐based scores that are specific to LT patients.
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spelling pubmed-98680702023-01-27 Evaluation of liver stiffness measurement–based scores in liver transplantation recipients Arshad, Tamoore Bhati, Chandra S. Bui, Anh T. Tseng, Michael Vainer, Dylan Miller, Austin Evans, Marie‐Claire Syed, Taseen Patel, Vaishali Idowu, Michael O. Muthiah, Mark Siddiqui, Mohammad Shadab Liver Transpl Original Articles: Peritransplant and Posttransplant Management and Outcomes Combining bioclinical parameters with liver stiffness measurement (LSM) has improved the diagnostic performance of vibration‐controlled transient elastography (VCTE) for detection of advanced fibrosis in patients with chronic liver disease. However, this approach has not yet been tested in liver transplantation (LT) recipients. Thus, the aim of this study was to evaluate the diagnostic performance of combining LSM‐based scores with LSM alone for the detection of advanced fibrosis in LT recipients. Adult LT recipients with a liver biopsy, VCTE, and clinical data necessary to construct LSM‐based fibrosis models (FibroScan‐AST [FAST], AGILE‐3+, and AGILE‐4) were included (n = 132). The diagnostic statistics for advanced fibrosis (fibrosis stage 0–2 vs. 3–4) were determined by optimal cut‐off using the Youden index. The area under the receiver operating characteristic curve (AUROC) for LSM was 0.94 (95% confidence interval [95% CI], 0.89–0.99), FAST was 0.65 (95% CI, 0.50–0.79), AGILE‐3+ was 0.90 (95% CI, 0.83–0.97), and AGILE‐4 was 0.90 (95% CI, 0.83–0.97). No statistically significant differences were noted between the AUROC of LSM versus LSM‐based scores. The false‐positive rates for AGILE‐3+ and AGILE‐4 were 14.5% and 11.8% compared with 8.3% for LSM alone. The false‐positive rates in LSM‐based scores were higher among patients with diabetes mellitus, higher AST levels, and lower platelet counts. The LSM‐based scores did not improve the diagnostic performance of LSM alone in LT recipients for the detection of advanced fibrosis. This lack of improvement in diagnostic performance results from the impact of immunosuppression on bioclinical profile and underscores the importance of developing LSM‐based scores that are specific to LT patients. Lippincott Williams & Wilkins 2023-02 2023-01-17 /pmc/articles/PMC9868070/ /pubmed/36036790 http://dx.doi.org/10.1002/lt.26568 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Articles: Peritransplant and Posttransplant Management and Outcomes
Arshad, Tamoore
Bhati, Chandra S.
Bui, Anh T.
Tseng, Michael
Vainer, Dylan
Miller, Austin
Evans, Marie‐Claire
Syed, Taseen
Patel, Vaishali
Idowu, Michael O.
Muthiah, Mark
Siddiqui, Mohammad Shadab
Evaluation of liver stiffness measurement–based scores in liver transplantation recipients
title Evaluation of liver stiffness measurement–based scores in liver transplantation recipients
title_full Evaluation of liver stiffness measurement–based scores in liver transplantation recipients
title_fullStr Evaluation of liver stiffness measurement–based scores in liver transplantation recipients
title_full_unstemmed Evaluation of liver stiffness measurement–based scores in liver transplantation recipients
title_short Evaluation of liver stiffness measurement–based scores in liver transplantation recipients
title_sort evaluation of liver stiffness measurement–based scores in liver transplantation recipients
topic Original Articles: Peritransplant and Posttransplant Management and Outcomes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868070/
https://www.ncbi.nlm.nih.gov/pubmed/36036790
http://dx.doi.org/10.1002/lt.26568
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