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基于 FibroScan 的 Agile 评分增强对非酒精性脂肪性肝病患者肝纤维化和肝硬化的诊断。

Enhanced diagnosis of advanced fibrosis and cirrhosis in individuals with NAFLD using FibroScan-based Agile scores.

机构信息

Director, Stravitz-Sanyal Institute of Liver Disease and Metabolic Health, VCU School of Medicine and Chair, Division of Gastroenterology, Hepatology and Nutrition in the Department of Internal Medicine at VCU School of Medicine, Richmond, VA, USA.

Echosens, Paris, France.

出版信息

J Hepatol. 2023 Feb;78(2):247-259. doi: 10.1016/j.jhep.2022.10.034. Epub 2022 Nov 12.

Abstract

BACKGROUND & AIMS: Currently available non-invasive tests, including fibrosis-4 index (FIB-4) and liver stiffness measurement (LSM by VCTE), are highly effective at excluding advanced fibrosis (AF) (F ≥3) or cirrhosis in people with non-alcoholic fatty liver disease (NAFLD), but only have moderate ability to rule-in these conditions. Our objective was to develop and validate two new scores (Agile 4 and Agile 3+) to identify cirrhosis or AF, respectively, with optimized positive predictive value and fewer indeterminate results, in individuals with NAFLD attending liver clinics.

METHODS

This international study included seven adult cohorts with suspected NAFLD who underwent liver biopsy, LSM and blood sampling during routine clinical practice or screening for trials. The population was randomly divided into a training set and an internal validation set, on which the best-fitting logistic regression model was built, and performance and goodness of fit were assessed, respectively. Furthermore, both scores were externally validated on two large cohorts. Cut-offs for high sensitivity and specificity were derived in the training set to rule-out and rule-in cirrhosis or AF and then tested in the validation set and compared to FIB-4 and LSM.

RESULTS

Each score combined LSM, AST/ALT ratio, platelets, sex and diabetes status, as well as age for Agile 3+. Calibration plots for Agile 4 and Agile 3+ indicated satisfactory to excellent goodness of fit. Agile 4 and Agile 3+ outperformed FIB-4 and LSM in terms of AUROC, percentage of patients with indeterminate results and positive predictive value to rule-in cirrhosis or AF.

CONCLUSIONS

The two novel non-invasive scores improve identification of cirrhosis or AF among individuals with NAFLD attending liver clinics and reduce the need for liver biopsy in this population.

IMPACT AND IMPLICATIONS

Non-invasive tests currently used to identify patients with advanced fibrosis or cirrhosis, such as fibrosis-4 index and liver stiffness measurement by vibration-controlled transient elastography, have high negative predictive values but high false positive rates, while results are indeterminate for a large number of cases. This study provides scores that will help the clinician diagnose advanced fibrosis or cirrhosis. These new easy-to-implement scores will help liver specialists to better identify (1) patients who need more intensive follow-up, (2) patients who should be referred for inclusion in therapeutic trials, and (3) which patients should be treated with pharmacological agents when effective therapies are approved.

摘要

背景与目的

目前可用的非侵入性检测方法,包括纤维化-4 指数(FIB-4)和肝脏硬度测量(VCTE 的 LSM),在排除非酒精性脂肪性肝病(NAFLD)患者的晚期纤维化(F≥3)或肝硬化方面非常有效,但仅具有中等能力来确定这些情况。我们的目的是开发和验证两个新的评分(Agile 4 和 Agile 3+),以分别在接受肝脏诊所就诊的 NAFLD 患者中识别肝硬化或晚期纤维化,具有优化的阳性预测值和更少的不确定结果。

方法

这项国际研究纳入了七个成人队列,这些队列均怀疑患有 NAFLD,他们在常规临床实践或临床试验筛查期间接受了肝活检、LSM 和血液采样。人群被随机分为训练集和内部验证集,分别在这两组上构建最佳拟合的逻辑回归模型,并分别评估性能和拟合优度。此外,这两个评分均在两个大型队列中进行了外部验证。在训练集中得出高灵敏度和特异性的截断值,以排除和确定肝硬化或晚期纤维化,并在验证集中进行测试,并与 FIB-4 和 LSM 进行比较。

结果

每个评分均结合了 LSM、AST/ALT 比值、血小板、性别和糖尿病状态以及年龄(用于 Agile 3+)。Agile 4 和 Agile 3+的校准图表明拟合优度令人满意到极好。Agile 4 和 Agile 3+在 AUROC、具有不确定结果的患者百分比和阳性预测值以确定肝硬化或晚期纤维化方面均优于 FIB-4 和 LSM。

结论

这两种新的非侵入性评分可改善对接受肝脏诊所就诊的 NAFLD 患者中肝硬化或晚期纤维化的识别,并减少该人群中肝活检的需求。

意义与影响

目前用于识别晚期纤维化或肝硬化的非侵入性检测方法,如纤维化-4 指数和振动控制瞬时弹性成像的 LSM,具有高阴性预测值,但假阳性率较高,而大量病例的结果不确定。本研究提供了有助于临床医生诊断晚期纤维化或肝硬化的评分。这些易于实施的新评分将有助于肝脏专家更好地识别:(1)需要更强化随访的患者,(2)应推荐纳入治疗试验的患者,以及(3)当有效的治疗方法获得批准时,哪些患者应使用药物治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f89/10170177/02a772278f27/nihms-1884485-f0001.jpg

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