Spleen Stiffness-Based Algorithms Are Superior to Baveno VI Criteria to Rule Out Varices Needing Treatment in Patients With Advanced Chronic Liver Disease.

The American journal of gastroenterology(2024)

引用 0|浏览3
暂无评分
摘要
INTRODUCTION:The Baveno VI criteria have set the stage for noninvasive assessment of compensated advanced chronic liver disease (ACLD). The algorithm combining liver stiffness measurement (LSM, <20 kPa) and platelet count (>150,000/μL) safely avoids screening endoscopy for varices needing treatment (VNT) but identifies only a relatively low number of patients. We aimed to evaluate the value of spleen stiffness measurement (SSM) using spleen-dedicated elastography in ruling out VNT. METHODS:In this real-life multicenter retrospective derivation-validation cohort, all consecutive patients with ACLD (defined by LSM ≥10 kPa) with available upper endoscopy, laboratory results, spleen diameter, LSM, and SSM measured with spleen-dedicated transient elastography were included. VNT were defined as medium-to-large varices or small varices with red spots. RESULTS:In the derivation cohort (n = 201, 11.9% VNT), SSM demonstrated excellent capability at identifying VNT (area under the receiver operating characteristic curve [AUROC] 0.88), outperforming LSM (AUROC 0.77, P = 0.03) and platelets (AUROC 0.73, P = 0.002). In comparison with Baveno VI criteria (33.8% spared endoscopies), the sequential Baveno VI plus SSM and a novel spleen size and stiffness model were able to increase the number of patients avoiding endoscopy (66.2% and 71.1%, respectively) without missing more than 5% of VNT. These findings were confirmed in an external validation cohort of patients with more advanced liver disease (n = 176, 34.7% VNT) in which the number of spared endoscopies tripled (27.3% and 31.3% for SSM-based algorithms) compared with Baveno VI criteria (8.5%). DISCUSSION:Spleen stiffness-based algorithms are superior to Baveno VI criteria in ruling out VNT in patients with ACLD and double the number of patients avoiding screening endoscopy.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要