医学
瞬态弹性成像
门脉高压
静脉曲张
门静脉压
内科学
食管静脉曲张
肝硬化
人口
列线图
风险评估
胃肠病学
计算机安全
计算机科学
环境卫生
肝纤维化
作者
Juan G. Abraldeṣ,Christophe Bureau,Horia Ştefănescu,Salvador Augustín,Michael Ney,Hélène Blasco,Bogdan Procopeţ,Jaime Bosch,Joan Genescà,Annalisa Berzigotti
出处
期刊:Hepatology
[Lippincott Williams & Wilkins]
日期:2016-09-17
卷期号:64 (6): 2173-2184
被引量:309
摘要
In patients with compensated advanced chronic liver disease (cACLD), the presence of clinically significant portal hypertension (CSPH) and varices needing treatment (VNT) bears prognostic and therapeutic implications. Our aim was to develop noninvasive tests-based risk prediction models to provide a point-of-care risk assessment of cACLD patients. We analyzed 518 patients with cACLD from five centers in Europe/Canada with paired noninvasive tests (liver stiffness measurement [LSM] by transient elastography, platelet count, and spleen diameter with calculation of liver stiffness to spleen/platelet score [LSPS] score and platelet-spleen ratio [PSR]) and endoscopy/hepatic venous pressure gradient measurement. Risk of CSPH, varices, and VNT was modeled with logistic regression. All noninvasive tests reliably identified patients with high risk of CSPH, and LSPS had the highest discrimination. LSPS values above 2.65 were associated with risks of CSPH above 80%. None of the tests identified patients with very low risk of all-size varices, but both LSPS and a model combining TE and platelet count identified patients with very low risk (<5%) risk of VNT, suggesting that they could be used to triage patients requiring screening endoscopy. LSPS values of <1.33 were associated with a <5% risk of VNT, and 26% of patients had values below this threshold. LSM combined with platelet count predicted a risk <5% of VNT in 30% of the patients. Nomograms were developed to facilitate point-of-care risk assessment.A significant proportion of patients with a very high risk of CSPH, and a population with a very low risk of VNT can be identified with simple, noninvasive tests, suggesting that these can be used to individualize medical care. (Hepatology 2016;64:2173-2184).
科研通智能强力驱动
Strongly Powered by AbleSci AI