Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Plasma Ammonia Levels Predict Hepatic Encephalopathy After Transjugular Intrahepatic Portosystemic Shunt Placement

作者:Lisa Sandmann, Julius F. M. Egge, Anja Tiede, Alena F. Ehrenbauer, Martin Kabelitz, Hannah Rieland, Jim Benjamin Mauz, Bernhard Meyer, Heiner Wedemeyer, Karin Weißenborn, Benjamin Maasoumy · 发表于:United European Gastroenterology Journal · 年份:2025 · DOI:10.1002/ueg2.70095 · 被引用次数:6 · 研究领域:Liver Disease and Transplantation、Organ Transplantation Techniques and Outcomes、Clinical Nutrition and Gastroenterology

BACKGROUND: Placement of a transjugular intrahepatic portosystemic shunt (TIPS) is an effective treatment for portal hypertension. Overt hepatic encephalopathy (oHE) is a complication after TIPS associated with increased morbidity. Elevated ratio of plasma ammonia (AMM) levels compared to the local upper limit of normal (ULN) has been associated with oHE, hepatic complications and increased mortality in patients with cirrhosis without TIPS. The role of AMM in risk stratification of post-TIPS oHE is unclear. OBJECTIVE: To investigate the role of AMM in the prediction of oHE in patients receiving TIPS placement. METHODS: Patients with TIPS placement were recruited within a prospective observational study protocol with follow-up (FU) visits at 1, 3, 6, and 12 months after TIPS. Post hoc analyses of AMM levels for the association with the primary (oHE) and secondary endpoints (hepatic decompensation, infections, death/liver transplantation) during the first year after TIPS placement were performed. RESULTS: Of 188 patients with TIPS placement, 148 patients with available baseline AMM levels were included. During follow-up, 37% (55/148) of patients developed oHE. In multivariable competing risk analysis, baseline AMM/ULN (HR 2.03 [CI 1.42-2.89], p = 0.001) and Freiburg index of post-TIPS survival (FIPS) score (HR 1.52 [CI 1.03-2.24], p = 0.037) were independently associated with oHE. The published cut-off AMM/ULN > 1.4 showed comparable results (HR 2.40 [CI 1.24-4.65], p = 0.01). ...