School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Obes Surg. 2023 Feb;33(2):548-554. doi: 10.1007/s11695-022-06416-y. Epub 2022 Dec 20.
This study aimed to ascertain the diagnostic accuracy of non-invasive liver function tests in liver fibrosis and assess their changes after metabolic surgery.
1005 individuals with severe obesity who were referred for metabolic surgery were analysed. All participants had blood samples taken for liver enzymes and lipid profile. In addition, hepatic indexes, including AAR, APRI, NFS and Fibrosis-4 (FIB4), were checked. Furthermore, all participants underwent two-dimensional shear wave elastography (2D-SWE). All investigations were repeated 6-8 months after metabolic surgery. The receiver operating characteristic (ROC) curve and the area under the ROC curve was utilised to determine the optimal cut-off values for baseline study parameters. Logistic regression was applied to predict the relationship between study parameters-as predictors-and change in 2D-SWE.
AST/ALT (AAR) was the most sensitive (79%) pre-operative non-invasive serological marker for detecting liver fibrosis, whereas NAFLD Fibrosis Score (NFS) was the most specific (84%). AST/upper limit of the normal AST range × 100/platelets (× 10/L) (APRI) showed a positive correlation with 2D-SWE post-metabolic surgery (p-value = 0.021). Regression analysis from both adjusted and unadjusted models showed that baseline AAR was a predictor of postoperative liver status in terms of hepatic fibrosis.
AAR has a high sensitivity, whereas NFS exhibits a high specificity in diagnosing liver fibrosis. The authors recommend using both investigations in conjunction with 2D-SWE to increase the likelihood of detecting liver fibrosis.
本研究旨在确定非侵入性肝纤维化检测在肝脏纤维化中的诊断准确性,并评估其在代谢手术后的变化。
分析了 1005 名因严重肥胖而转介接受代谢手术的个体。所有参与者均采集血样进行肝酶和血脂谱检测。此外,还检查了包括 AAR、APRI、NFS 和 Fibrosis-4(FIB4)在内的肝指数。此外,所有参与者均接受二维剪切波弹性成像(2D-SWE)检查。代谢手术后 6-8 个月重复所有检查。使用接收者操作特征(ROC)曲线和 ROC 曲线下面积确定基线研究参数的最佳截断值。应用逻辑回归预测研究参数作为预测因子与 2D-SWE 变化之间的关系。
AST/ALT(AAR)是术前检测肝纤维化最敏感的非侵入性血清学标志物(79%),而非酒精性脂肪性肝病纤维化评分(NFS)是最特异的(84%)。AST/正常 AST 上限 × 血小板(×10/L)(APRI)与代谢手术后的 2D-SWE 呈正相关(p 值=0.021)。调整和未调整模型的回归分析均表明,基线 AAR 是术后肝脏纤维化状态的预测因子。
AAR 具有较高的灵敏度,而 NFS 则具有较高的特异度,用于诊断肝纤维化。作者建议联合使用这两种检查与 2D-SWE 以提高检测肝纤维化的可能性。