Dajti Elton, Villanueva Càndid, Berzigotti Annalisa, Brujats Anna, Albillos Agustín, Genescà Joan, García-Pagán Juan C, Colecchia Antonio, Bosch Jaume
Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, Bern, Switzerland; Gastroenterology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, European Reference Network on Hepatological Diseases (ERN RARE-LIVER), Bologna, Italy.
Department of Digestive Diseases, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Medicine Department, Autonomous University of Barcelona, Spain; Centre for Biomedical Research in Liver and Digestive Diseases Network (CIBERehd), Madrid, Spain.
J Hepatol. 2025 Mar;82(3):490-498. doi: 10.1016/j.jhep.2024.09.014. Epub 2024 Sep 19.
BACKGROUND & AIMS: Whether non-invasive tests (NITs) can accurately select patients with cirrhosis requiring non-selective beta-blockers (NSBBs) for clinically significant portal hypertension (CSPH) and prevention of decompensation is unclear. Our aim was to test the performance of NIT-based algorithms for CSPH diagnosis using the prospective PREDESCI cohort. We investigated whether a new algorithm combining NITs with endoscopy could improve performance.
We included patients with compensated cirrhosis and available liver elastography who were screened during the trial. The performance of models based on liver stiffness measurement (LSM) and platelet count was evaluated. An algorithm considering endoscopy for patients with inconclusive results (the "grey zone") was then developed and validated in an independent cohort of 195 patients in whom spleen stiffness was also available.
We included 170 patients from the PREDESCI cohort. An LSM ≥25 kPa alone (Baveno VII criteria) or combined with an LSM >20 kPa plus thrombocytopenia (AASLD criteria) ruled-in CSPH with positive predictive values of 88% and 89%, respectively. However, 37%-47% patients fell into the grey zone while at high risk of decompensation or death. Performing endoscopy in inconclusive cases identified patients with varices that, when reclassified as high-risk for CSPH, significantly reduced the grey zone to 22%. In this algorithm, 86% of patients with CSPH were correctly classified as high risk. The diagnostic performance was confirmed in the external validation cohort, where combining Baveno VII criteria with spleen stiffness showed similar accuracy to the model using endoscopy.
Algorithms based only on LSM and platelet count are suboptimal to identify NSBB treatment candidates. Performing endoscopy in patients with indeterminate findings from NITs improved diagnostic performance and risk stratification. Endoscopy may be substituted by spleen stiffness for stratifying risk in the grey zone.
The PREDESCI trial demonstrated that non-selective beta-blockers prevent decompensation in patients with clinically significant portal hypertension (CSPH). Still, it is unclear whether we can select treatment candidates using non-invasive tests to assess the presence of CSPH without measuring HVPG (hepatic venous pressure gradient). In the prospective cohort of patients screened during the PREDESCI trial, we showed that algorithms based on liver stiffness and platelet count had suboptimal performance, mainly due to a high rate of indeterminate results. Performing endoscopy on patients in the grey zone significantly increased the number correctly characterized as having CSPH and improved the risk stratification for decompensation or death on long-term follow-up. These findings were validated in an independent cohort. In addition, a model using spleen stiffness instead of endoscopy showed similar diagnostic performance in the external validation cohort, suggesting that adequate risk stratification to select treatment candidates can be achieved with a fully non-invasive algorithm.
非侵入性检测(NITs)能否准确筛选出需要使用非选择性β受体阻滞剂(NSBBs)来治疗具有临床意义的门静脉高压(CSPH)并预防失代偿的肝硬化患者尚不清楚。我们的目的是使用前瞻性PREDESCI队列来测试基于NITs的算法对CSPH诊断的性能。我们研究了一种将NITs与内镜检查相结合的新算法是否能提高性能。
我们纳入了在试验期间接受筛查的代偿期肝硬化患者以及可进行肝脏弹性成像检查的患者。评估了基于肝脏硬度测量(LSM)和血小板计数的模型的性能。然后开发了一种针对结果不确定(“灰色地带”)患者考虑进行内镜检查的算法,并在一个独立的195例患者队列中进行验证,这些患者也可进行脾脏硬度检测。
我们纳入了PREDESCI队列中的170例患者。单独使用LSM≥25 kPa(巴韦诺VII标准)或LSM>20 kPa联合血小板减少(美国肝病研究学会标准)来诊断CSPH的阳性预测值分别为88%和89%。然而,37%-47%的患者处于灰色地带,同时有失代偿或死亡的高风险。对结果不确定的病例进行内镜检查可识别出有静脉曲张的患者,当将这些患者重新分类为CSPH高风险时,灰色地带显著减少至22%。在该算法中,86%的CSPH患者被正确分类为高风险。在外部验证队列中证实了该诊断性能,在该队列中,将巴韦诺VII标准与脾脏硬度相结合显示出与使用内镜检查的模型相似的准确性。
仅基于LSM和血小板计数的算法在识别NSBB治疗候选者方面并不理想。对NITs结果不确定的患者进行内镜检查可提高诊断性能和风险分层。在灰色地带,脾脏硬度可替代内镜检查进行风险分层。
PREDESCI试验表明,非选择性β受体阻滞剂可预防具有临床意义的门静脉高压(CSPH)患者的失代偿。然而,尚不清楚在不测量肝静脉压力梯度(HVPG)的情况下,我们能否使用非侵入性检测来筛选CSPH患者以进行治疗。在PREDESCI试验期间筛查的前瞻性患者队列中,我们表明基于肝脏硬度和血小板计数的算法性能不理想,主要原因是不确定结果的发生率较高。对灰色地带的患者进行内镜检查显著增加了被正确判定为患有CSPH的患者数量,并改善了长期随访中失代偿或死亡的风险分层。这些发现在一个独立队列中得到了验证。此外,在外部验证队列中,使用脾脏硬度而非内镜检查的模型显示出相似的诊断性能,这表明使用完全非侵入性的算法可以实现对治疗候选者进行充分的风险分层。