Validation and comparison of non-invasive prediction models based on liver stiffness measurement to identify patients who could avoid gastroscopy

Abstract Several non‐invasive tests (NITs) based on liver stiffness measurement (LSM) have been developed to rule out varices needing treatment (VNT), including the Baveno VI criteria (B6C), the expanded Baveno VI criteria (EB6C), the LSM-spleen diameter to platelet ratio score (LSPS), and the VariS...

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Autores principales:	Youwen Hu, Zhili Wen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/09d3698e3fad464d861b1fbd88bec882
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spelling	oai:doaj.org-article:09d3698e3fad464d861b1fbd88bec8822021-12-02T11:45:54ZValidation and comparison of non-invasive prediction models based on liver stiffness measurement to identify patients who could avoid gastroscopy10.1038/s41598-020-80136-02045-2322https://doaj.org/article/09d3698e3fad464d861b1fbd88bec8822021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80136-0https://doaj.org/toc/2045-2322Abstract Several non‐invasive tests (NITs) based on liver stiffness measurement (LSM) have been developed to rule out varices needing treatment (VNT), including the Baveno VI criteria (B6C), the expanded Baveno VI criteria (EB6C), the LSM-spleen diameter to platelet ratio score (LSPS), and the VariScreen algorithm. We aimed to validate and compare those NITs in patients with compensated advanced chronic liver disease (cACLD). This retrospective study enrolled 354 patients with cACLD; LSM, platelet count (PLT), international normalized ratio (INR), gastroscopy and spleen diameter (SD) were collected. VNT prevalence was 28.5%. In comparison, patients with VNT included higher LSM, INR, and SD and lower PLT. Gastroscopies were spared for 27.7% of patients using the B6C with 1.0% VNT missed rate, 47.2% of patients using the EB6C with 5.9% VNT missed rate, 57.6% of patients using the LSPS with 9.9% VNT missed rate, and 45.5% of patients using the VariScreen algorithm with 3.0% VNT missed rate. Only the B6C and the VariScreen algorithm could safely avoid gastroscopies, and the VariScreen algorithm spared more gastroscopies than the B6C. The results were consistent with the previous when performed subgroup analysis. In conclusion, the VariScreen algorithm performed the best and can be used in clinical.Youwen HuZhili WenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Youwen Hu Zhili Wen Validation and comparison of non-invasive prediction models based on liver stiffness measurement to identify patients who could avoid gastroscopy
description	Abstract Several non‐invasive tests (NITs) based on liver stiffness measurement (LSM) have been developed to rule out varices needing treatment (VNT), including the Baveno VI criteria (B6C), the expanded Baveno VI criteria (EB6C), the LSM-spleen diameter to platelet ratio score (LSPS), and the VariScreen algorithm. We aimed to validate and compare those NITs in patients with compensated advanced chronic liver disease (cACLD). This retrospective study enrolled 354 patients with cACLD; LSM, platelet count (PLT), international normalized ratio (INR), gastroscopy and spleen diameter (SD) were collected. VNT prevalence was 28.5%. In comparison, patients with VNT included higher LSM, INR, and SD and lower PLT. Gastroscopies were spared for 27.7% of patients using the B6C with 1.0% VNT missed rate, 47.2% of patients using the EB6C with 5.9% VNT missed rate, 57.6% of patients using the LSPS with 9.9% VNT missed rate, and 45.5% of patients using the VariScreen algorithm with 3.0% VNT missed rate. Only the B6C and the VariScreen algorithm could safely avoid gastroscopies, and the VariScreen algorithm spared more gastroscopies than the B6C. The results were consistent with the previous when performed subgroup analysis. In conclusion, the VariScreen algorithm performed the best and can be used in clinical.
format	article
author	Youwen Hu Zhili Wen
author_facet	Youwen Hu Zhili Wen
author_sort	Youwen Hu
title	Validation and comparison of non-invasive prediction models based on liver stiffness measurement to identify patients who could avoid gastroscopy
title_short	Validation and comparison of non-invasive prediction models based on liver stiffness measurement to identify patients who could avoid gastroscopy
title_full	Validation and comparison of non-invasive prediction models based on liver stiffness measurement to identify patients who could avoid gastroscopy
title_fullStr	Validation and comparison of non-invasive prediction models based on liver stiffness measurement to identify patients who could avoid gastroscopy
title_full_unstemmed	Validation and comparison of non-invasive prediction models based on liver stiffness measurement to identify patients who could avoid gastroscopy
title_sort	validation and comparison of non-invasive prediction models based on liver stiffness measurement to identify patients who could avoid gastroscopy
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/09d3698e3fad464d861b1fbd88bec882
work_keys_str_mv	AT youwenhu validationandcomparisonofnoninvasivepredictionmodelsbasedonliverstiffnessmeasurementtoidentifypatientswhocouldavoidgastroscopy AT zhiliwen validationandcomparisonofnoninvasivepredictionmodelsbasedonliverstiffnessmeasurementtoidentifypatientswhocouldavoidgastroscopy
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Validation and comparison of non-invasive prediction models based on liver stiffness measurement to identify patients who could avoid gastroscopy

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