Department of Clinical Laboratory, Hangzhou Xixi Hospital, Zhejiang, China.
Pathology Department, Hangzhou Xixi Hospital, Zhejiang, China.
PLoS One. 2022 Jul 1;17(7):e0270512. doi: 10.1371/journal.pone.0270512. eCollection 2022.
The aim of this study was to evaluate the diagnostic value of FibroTouch and serological models on staging hepatic fibrosis in chronic liver diseases.
We recruited 850 patients undergoing liver biopsy and received FibroTouch test before or after liver biopsy within one week, blood was taken for the routine inspection before the operation within one week. The serological models were calculated by the blood results and routine clinical information. The diagnostic value of FibroTouch and six serological models was analyzed by receiver operating characteristic curve (ROC).
Patients with severe liver fibrosis had significantly higher AST, ALT, GGT, RDW, ALP, and FT-LSM. The area under the receiver operating characteristic curve (AUROC) of FT-LSM for the liver diagnosis of S≥2, S≥3 and S = 4 was 0.75(95% confidence interval [CI]:0.72-0.78), 0.83(95% CI: 0.80-0.86), and 0.85 (95% CI: 0.81-0.89), respectively. The optimal cut-off of FT-LSM for diagnosing S≥2, S≥3 and S = 4 was 8.7, 10.7, and 12.3, respectively.
Our study showed the FibroTouch has a higher diagnostic value compared with the non-invasive serological models in staging the fibrosis stage. The cut-off of FibroTouch and five serological models (APRI, FIB-4, S-index, Forns, and PRP) increased with the severe of fibrosis stage.
本研究旨在评估 FibroTouch 和血清学模型在慢性肝病肝纤维化分期中的诊断价值。
我们招募了 850 名接受肝活检的患者,并在肝活检前或肝活检后一周内接受了 FibroTouch 检测,在一周内手术前采集了常规检查的血液。通过血液结果和常规临床信息计算了血清学模型。通过受试者工作特征曲线(ROC)分析 FibroTouch 和六个血清学模型的诊断价值。
严重肝纤维化患者的 AST、ALT、GGT、RDW、ALP 和 FT-LSM 显著升高。FT-LSM 对 S≥2、S≥3 和 S=4 的肝脏诊断的 ROC 曲线下面积(AUROC)分别为 0.75(95%置信区间 [CI]:0.72-0.78)、0.83(95% CI:0.80-0.86)和 0.85(95% CI:0.81-0.89)。FT-LSM 诊断 S≥2、S≥3 和 S=4 的最佳截断值分别为 8.7、10.7 和 12.3。
与非侵入性血清学模型相比,我们的研究表明 FibroTouch 在分期纤维化程度方面具有更高的诊断价值。FibroTouch 和五个血清学模型(APRI、FIB-4、S-index、Forns 和 PRP)的截断值随着纤维化程度的加重而增加。