Published in:
10-02-2024 | Hepatic Encephalopathy | Original Article
Predictors and Outcomes of Post-transjugular Intrahepatic Portosystemic Shunt Liver Failure in Patients with Cirrhosis
Published in: Digestive Diseases and Sciences | Issue 3/2024
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Background
Post-transjugular intrahepatic portosystemic shunt (TIPS) liver failure (PTLF) is a serious complication of TIPS procedure with poor patient prognosis. This study tried to investigate the incidence of PTLF following elective TIPS procedure and evaluated possible predictive factors for the same.
Methods
A retrospective analysis of patients who underwent elective TIPS placement between 2012 and 2022 and was conducted to determine development of PTLF (≥ 3-fold bilirubin and/or ≥ 2-fold INR elevation from the baseline) within 30 days following TIPS procedure. Medical record review was done and factors predicting development of PTLF and the 90-day transplant-free survival was determined.
Results
Thirty of 352 (8.5%) patients developed PTLF within 30 days of TIPS (mean age 54.2 ± 9.8 years, 83% male). The etiology of cirrhosis was related to non-alcoholic steatohepatitis (NASH) in 50%, alcohol in 33.3%, and hepatitis B/C virus infection in 16.7% of the patients. The mean Child–Turcotte–Pugh (CTP) score was 9.5 ± 1.2 and mean model for end stage liver disease (MELD) score was 14.6 ± 4.5 at the time of admission in patients who developed PTLF. The indication for TIPS was recurrent variceal bleed in 50% (15 of 30) and refractory ascites in 46.7% (14 of 30) patients with PTLF.
Multivariate analysis identified prior HE (OR 6.1; CI 2.57–14.5, p < 0.0001) and higher baseline CTP score (OR 1.47; CI 1.07–2.04; p = 0.018) as predictors of PTLF. PTLF was associated with significantly lower 90-day transplant-free survival, as compared to patients without PTLF (40% versus 96%, p < 0.001).
Conclusion
Almost 10% of patients with cirrhosis develop post-TIPS liver failure and is associated with significant early mortality and morbidity. Higher baseline CTP score and prior HE were identified as predictors for PTLF.