Chrome Extension
WeChat Mini Program
Use on ChatGLM

Baveno VII Algorithm Outperformed Other Models in Ruling out High-Risk Varices in Individuals with HBV-related Cirrhosis.

Journal of Hepatology(2022)

Hepatology Unit

Cited 14|Views59
Abstract
Background & Aims: The Baveno VII consensus recommends that spleen stiffness measurement (SSM) <-40 kPa is safe for ruling out high-risk varices (HRVs) and avoiding endoscopic screening in patients who do not meet the Baveno VI criteria. This study aimed to validate the performance of the Baveno VII algorithm in individuals with HBV-related cirrhosis. Methods: Consecutive individuals with HBV-related cirrhosis who underwent liver stiffness measurement (LSM) and SSM - using a 50 Hz shear wave frequency, spleen diameter measurement, and esophagogastroduodenoscopy (EGD) were prospectively enrolled from June 2020. A 100 Hz probe has been adopted for additional SSM assessment since July 2021. Results: From June 2020 to January 2022, 996 patients were screened and 504 were enrolled for analysis. Among the 504 patients in whom SSM was assessed using a 50 Hz probe, the Baveno VII algorithm avoided more EGDs (56.7% vs. 39.1%, p <0.001) than Baveno VI criteria, with a comparable missed HRV rate (3.8% vs. 2.5%). Missed HRV rates were >5% for all other measures: 11.3% for LSM-longitudinal spleen diameter to platelet ratio score, 20.0% for platelet count/longitudinal spleen diameter ratio, and 8.8% for Rete Sicilia Selezione Terapia-hepatitis. SSM@100 Hz was assessed in 232 patients, and the Baveno VII algorithm with SSM@100 Hz spared more EGDs (75.4% vs. 59.5%, p <0.001) than that with SSM@50 Hz, both with a missed HRV rate of 3.0% (1/33). Conclusions: We validated the Baveno VII algorithm, demonstrating the excellent performance of SSM@50 Hz and SSM@100 Hz in ruling out HRV in individuals with HBV-related cirrhosis. Furthermore, the Baveno VII algorithm with SSM@100 Hz could safely rule out more EGDs than that with SSM@50 Hz. Clinical trial number: NCT04890730. (c) 2022 The Author(s). Published by Elsevier B.V. on behalf of European Association for the Study of the Liver. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
More
Translated text
Key words
Baveno VII,liver cirrhosis,high-risk varices,vibration-controlled transient elastography,spleen stiffness measurement
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:研究表明,Baveno VII算法在排除HBV相关肝硬化患者中的高风险静脉曲张方面表现优于其他模型,且使用100 Hz探头的脾脏刚度测量(SSM@100 Hz)能进一步减少不必要的内镜检查。

方法】:研究采用前瞻性方法,对连续的HBV相关肝硬化患者进行肝硬度测量(LSM)、脾脏直径测量和食管胃十二指肠镜检查(EGD),以验证Baveno VII算法的性能。

实验】:自2020年6月至2022年1月,共筛查996名患者,其中504名纳入分析。使用50 Hz探头的SSM评估的患者中,Baveno VII算法避免了更多的EGD(56.7% vs. 39.1%),误诊高风险静脉曲张率与Baveno VI标准相当(3.8% vs. 2.5%)。使用100 Hz探头在232名患者中评估SSM@100 Hz,Baveno VII算法与SSM@100 Hz组合避免了更多的EGD(75.4% vs. 59.5%),误诊率均为3.0%。数据集名称未在文中提及。