Predictors of survival in patients with TIPSS for refractory ascites
Research type
Research Study
Full title
Predictors of liver transplant-free survival in patients with Transjugular intra-hepatic porto-systemic shunt (TIPSS) for refractory ascites
IRAS ID
217861
Contact name
Rohit Sinha
Contact email
Sponsor organisation
NHS Lothian
Clinicaltrials.gov Identifier
Sponsor's reference, AC16137
Duration of Study in the UK
0 years, 7 months, 30 days
Research summary
Patients with liver cirrhosis, as a consequence of their disease progression may develop ascites (fluid in the abdomen) which may require regular drainage. TIPSS (transjugular transhepatic porto-sytemic shunt) can be performed as a day case procedure to alleviate the problem of fluid accumulation in the abdomen. As per current standard of practise, such patients are selected based on scoring system known as MELD ( model of end-stage liver disease) which acts as a prognostic marker and appropriateness for TIPS. This model was designed almost 2 decades ago. There is an unmet to refine the scoring system based on additional and newly identified predictors of improved survival. This will not only to complement but better the existing model allowing better selection of patients with improved odds for the procedure.
Study Design: Retrospective review of TIPSS database (maintained by the Hepatology nurse for clinical care) at RIE, NHS Lothian.Suitable patients will be identified and medical records will be reviewed to populate desired parameters (clinical and investigative information performed as a part of their routine clinical care). Subsequent analysis of collected parameters (blood tests) will be performed to identify any predictors or improved survival.
A mathematical algorithm will then be constructed based on the newly identified parameters to predicts improved survival in this group of patients.
This algorithm's power to predict survival will be tested against similar patient group created from other centres (2 centres in Scotland and one centre in England).
Funds from endowment will used for professional statistician in assistance for writing a predictive mathematical algorithm.REC name
South Central - Oxford A Research Ethics Committee
REC reference
17/SC/0153
Date of REC Opinion
21 Mar 2017
REC opinion
Favourable Opinion