Tambaki Maria, Neonaki Antonia, Lekakis Vasileios, Papatheodoridi Margarita, Karagiannakis Dimitrios S
1st Academic Department of Gastroenterology, Laiko General Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
4th Department of Internal Medicine, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, Rimini 1 Street, Haidari, 12462, Athens, Greece.
Dig Dis Sci. 2025 Aug 9. doi: 10.1007/s10620-025-09304-4.
Treatment with non-selective b-blockers (NSBBs) is the mainstay of pharmacological management of portal hypertension (PH), but monitoring treatment response is not well standardized. Liver stiffness (LSM) and spleen stiffness measurement (SSM) changes have been used as non-invasive biomarkers of PH and are associated with disease progression and liver-related events. This systematic review examined LSM and SSM changes (ΔLSM, ΔSSM) in patients receiving NSBBs and their ability to predict treatment response.
A literature search was performed to identify all published studies with patients with PH receiving NSBBs and monitoring with LSM and/or SSM. Pooled proportions, 95% confidence intervals (CI), and prediction intervals (PI) were calculated. The results of primary studies with varying diagnostic thresholds were plotted with a Summarized Receiver Operating Characteristic curve (SROC), and areas under the SROCs were compared.
The meta-analysis included eight studies and 445 patients with PH. The mean LSM percentage reduction was 12% (95%CI - 16, - 8; I = 0%), and the mean SSM percentage decline was 20% (95%CI - 51, 10; I = 89.6%). The pooled AUSROC of ΔLSM in detecting response to NSBBs was 0.727 (95%CI 0.50, 0.84) with a pooled diagnostic odds ratio (DOR) of 7.38 (95%CI 1.89, 28.8). ΔSSM showed a numerically higher (p = 0.516) diagnostic accuracy with a pooled AUSROC of 0.792 (95%CI 0.68, 0.89) and a pooled DOR of 10.69 (95%CI 2.1, 56.4).
Both LSM and SSM decrease significantly after NSBB treatment in patients with PH. However, ΔSSM appears to be superior to ΔLSM in predicting an effective treatment response.
使用非选择性β受体阻滞剂(NSBBs)治疗是门静脉高压(PH)药物治疗的主要手段,但治疗反应的监测尚未得到很好的规范。肝脏硬度(LSM)和脾脏硬度测量(SSM)的变化已被用作PH的非侵入性生物标志物,并且与疾病进展和肝脏相关事件相关。本系统评价研究了接受NSBBs治疗患者的LSM和SSM变化(ΔLSM,ΔSSM)及其预测治疗反应的能力。
进行文献检索,以确定所有已发表的关于接受NSBBs治疗并通过LSM和/或SSM进行监测的PH患者的研究。计算合并比例、95%置信区间(CI)和预测区间(PI)。将具有不同诊断阈值的主要研究结果绘制在汇总的受试者工作特征曲线(SROC)上,并比较SROC下的面积。
荟萃分析纳入了8项研究和445例PH患者。LSM平均降低百分比为12%(95%CI -16,-8;I = 0%),SSM平均下降百分比为20%(95%CI -51,10;I = 89.6%)。ΔLSM检测对NSBBs反应的合并AUSROC为0.727(95%CI 0.50,0.84),合并诊断比值比(DOR)为7.38(95%CI 1.89,28.8)。ΔSSM显示出数值上更高(p = 0.516)的诊断准确性,合并AUSROC为0.792(95%CI 0.68,0.89),合并DOR为10.69(95%CI 2.1,56.4)。
PH患者接受NSBBs治疗后,LSM和SSM均显著降低。然而,在预测有效治疗反应方面,ΔSSM似乎优于ΔLSM。