A Combined Baveno VII and Spleen Stiffness Algorithm to Improve the Noninvasive Diagnosis of Clinically Significant Portal Hypertension in Patients With Compensated Advanced Chronic Liver Disease

医学 瞬态弹性成像 门脉高压 失代偿 慢性肝病 门静脉压 队列 算法 肝硬化 内科学 回顾性队列研究 数学 肝纤维化
作者
Elton Dajti,Federico Ravaioli,Giovanni Marasco,Luigina Vanessa Alemanni,Luigi Colecchia,Alberto Ferrarese,Caterina Cusumano,S Gemini,Amanda Vestito,Matteo Renzulli,Rita Golfieri,Davide Festi,Antonio Colecchia
出处
期刊:The American Journal of Gastroenterology [Lippincott Williams & Wilkins]
卷期号:117 (11): 1825-1833 被引量:70
标识
DOI:10.14309/ajg.0000000000001887
摘要

A noninvasive diagnosis of clinically significant portal hypertension (CSPH) has important prognostic and therapeutic implications for patients with compensated advanced chronic liver disease. We aimed to validate and improve the available algorithms for the CSPH diagnosis by evaluating spleen stiffness measurement (SSM) in patients with compensated advanced chronic liver disease.This is a retrospective study including patients with liver stiffness measurement (LSM) ≥10 kPa, no previous decompensation, and available measurements of hepatic venous pressure gradient, LSM, and SSM by transient elastography referring to our center in Bologna. The diagnostic algorithms were adequate if negative and positive predictive values were >90% when ruling out and ruling in CSPH, respectively; these models were validated in a cohort from Verona. The 5-year decompensation rate was reported.One hundred fourteen patients were included in the derivation cohort. The Baveno VII diagnostic algorithm (LSM ≤15 kPa + platelet count ≥150 × 10 9 /L to rule out CSPH and LSM >25 kPa to rule in CSPH) was validated; however, 40%-60% of the patients remained in the gray zone. The addition of SSM (40 kPa) to the model significantly reduced the gray zone to 7%-15%, maintaining adequate negative and positive predictive values. The diagnostic algorithms were validated in a cohort of 81 patients from Verona. All first decompensation events occurred in the "rule-in" zone of the model including SSM.The addition of SSM significantly improves the clinical applicability of the algorithm based on LSM and platelet count for CSPH diagnosis. Our models can be used to noninvasively identify candidates for nonselective beta-blocker treatment and patients at a high risk of decompensation.
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