SIR 2025
Portal Hypertension
Scientific Session
Sagar Desai, DO (he/him/his)
IR/DR Resident
Jefferson Einstein Hospital, United States
Akash Singh, MBBS
Resident Physician
Jefferson Einstein Hospital, United States
Shiyi Li, MD
Integrated IR/DR Resident Physician
Einstein Medical Center, Jefferson Health, United States
Mark DiMaggio, DO
Resident Physician
Jefferson Einstein Hospital, United States
Samuel Hanz, MD
Resident
Jefferson Einstein Hospital, United States
Balasubramani Natarajan, MD
Attending Physician
Jefferson Einstein Hospital, United States
To compare the original Model of End-Stage Liver Disease (MELD) score with its subsequent iterations to determine which model most accurately predicts short- and intermediate-term mortality following elective transjugular intrahepatic portosystemic shunt (TIPS) placement.
Materials and Methods:
A single center retrospective review was performed on patients undergoing TIPS from 2018 through 2022. A total of 108 patients were identified, of which 102 patients met inclusion criteria. Demographics, preprocedural laboratory values and patient outcomes were recorded. Primary outcomes included mortality at 30-days, 90-days and 1-year following TIPS.
Results:
Mortality rates following elective TIPS were 8.8% (9/102) at 30-days, 14.7% (15/102) at 90-days and 20.6% (21/102) at 1-year. There were significantly higher MELD 3.0 scores versus MELD when comparing patient groups based on mortality at 90-days (17.2 [± 4.5] vs 14.2 [±3.4], p=0.05) and 1-year (16.6 [± 4.5] vs 13.9 [± 3.6], p=0.045). No significant differences were found when comparing to MELD-Na scores. In patients with advanced liver dysfunction (scores of 20 or greater) who experienced mortality within 90 days, MELD 3.0 (33.3% [4/12]) and MELD-Na (33.3% [3/9]) scores provided more accurate mortality prediction in comparison to the original MELD score (16.7% [1/6]).
Conclusion:
In summary, MELD 3.0 outperformed the original MELD score in predicting 90-days and 1-year mortality following elective TIPS, confirming that factors such as nutritional status, a lower creatinine cutoff and gender outcome disparities improve mortality prediction in the setting of liver dysfunction.