Noninvasive evaluation of significant liver fibrosis in chronic hepatitis B patients.

IF 1.3 4区 医学 Q4 GASTROENTEROLOGY & HEPATOLOGY
K H Dilcan, H T Gozdas
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引用次数: 0

Abstract

Background & aims: Chronic hepatitis B is still a major cause of morbidity and mortality worldwide. In recent years, there has been increasing research on inexpensive, noninvasive, reproducible methods for detecting fibrosis in the liver. In this study, we examined the efficacy of 15 different noninvasive fibrosis markers for predicting significant liver fibrosis in chronic hepatitis B patients.

Methods: Patients who underwent liver biopsy for chronic hepatitis B between 01.01.2010 and 01.01.2022 were retrospectively analysed. The study population was divided into two groups according to significant fibrosis (F≥3). Receiver operating characteristic analysis was performed to examine the diagnostic performance of these noninvasive fibrosis markers for the prediction of significant fibrosis. Multiple logistic regression analysis was used create a model which predicts significant fibrosis better than the individual markers.

Results: In total, 234 chronic hepatitis B patients were enrolled in this study. Among the 15 noninvasive fibrosis markers, King's score was found to have the biggest AUC in predicting significant fibrosis (F≥3). Furthermore, a model containing King's score, GUCI and GPR has the ability of prediction of significant fibrosis better than every individual marker (cut-off of the model >0,3356, p<0.0001).

Conclusion: According to our study results, the model containing King's score, GUCI and GPR can be used to predict significant liver fibrosis in chronic hepatitis B patients followed-up in countries with limited sources.

对慢性乙型肝炎患者明显肝纤维化的无创评估。
背景与目的:慢性乙型肝炎仍然是全球发病和死亡的主要原因。近年来,有关检测肝纤维化的廉价、无创、可重复方法的研究日益增多。在这项研究中,我们检测了 15 种不同的无创肝纤维化标志物对预测慢性乙型肝炎患者肝纤维化的有效性:回顾性分析了 2010 年 1 月 1 日至 2022 年 1 月 1 日期间接受肝活检的慢性乙型肝炎患者。根据肝纤维化程度(F≥3)将研究对象分为两组。研究人员对这些非侵入性纤维化标志物进行了接收者操作特征分析,以检验它们在预测明显纤维化方面的诊断性能。采用多元逻辑回归分析建立了一个模型,该模型比单个标记物更能预测明显的肝纤维化:本研究共招募了 234 名慢性乙型肝炎患者。在 15 个非侵入性纤维化指标中,King's 评分在预测明显纤维化方面具有最大的 AUC 值(F≥3)。此外,包含 King's 评分、GUCI 和 GPR 的模型预测显著纤维化的能力优于每个单独的标记物(模型的临界值大于 0,3356, p结论:根据我们的研究结果,包含 King 评分、GUCI 和 GPR 的模型可用于预测在资源有限的国家随访的慢性乙型肝炎患者的明显肝纤维化。
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来源期刊
Acta gastro-enterologica Belgica
Acta gastro-enterologica Belgica Medicine-Gastroenterology
CiteScore
2.30
自引率
20.00%
发文量
78
期刊介绍: The Journal Acta Gastro-Enterologica Belgica principally publishes peer-reviewed original manuscripts, reviews, letters to editors, book reviews and guidelines in the field of clinical Gastroenterology and Hepatology, including digestive oncology, digestive pathology, as well as nutrition. Pure animal or in vitro work will not be considered for publication in the Journal. Translational research papers (including sections of animal or in vitro work) are considered by the Journal if they have a clear relationship to or relevance for clinical hepato-gastroenterology (screening, disease mechanisms and/or new therapies). Case reports and clinical images will be accepted if they represent an important contribution to the description, the pathogenesis or the treatment of a specific gastroenterology or liver problem. The language of the Journal is English. Papers from any country will be considered for publication. Manuscripts submitted to the Journal should not have been published previously (in English or any other language), nor should they be under consideration for publication elsewhere. Unsolicited papers are peer-reviewed before it is decided whether they should be accepted, rejected, or returned for revision. Manuscripts that do not meet the presentation criteria (as indicated below) will be returned to the authors. Papers that go too far beyond the scope of the journal will be also returned to the authors by the editorial board generally within 2 weeks. The Journal reserves the right to edit the language of papers accepted for publication for clarity and correctness, and to make formal changes to ensure compliance with AGEB’s style. Authors have the opportunity to review such changes in the proofs.
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