P65 Assessing predictors of mortality following transjugular intrahepatic portosystemic shunts for variceal bleeding
Bibliographic record
Abstract
Background and Aims Transjugular intra-hepatic portosystemic shunts (TIPSS) are used as salvage therapy in variceal bleeding and are also increasingly being utilised pre-emptively. Our aim was to evaluate the outcomes of salvage TIPSS performed for variceal bleeding at a tertiary liver transplant centre and identify predictors of mortality. Method Data was collected for patients undergoing TIPSS procedures between April 2010 and September 2022. Statistical analyses included t-tests and Mann-Whitney tests for comparison of continuous variables between groups and the Cox proportional hazards model to identify predictive factors for mortality. Patients were censored at the point of death, their last known follow-up or the date of transplantation. Results 193 patients had an average age of 52.7 years and were 68.4% male. Aetiology was predominantly alcohol (64.8%), followed by metabolic dysfunction-associated steatotic liver disease (10.9%) and hepatitis C infection (7.8%). 9 patients progressed to transplant and in those who did not, survival was 74.6% at 90 days and 64.8% at 12 months. Documented causes of death revealed 79.4% as liver-related. The median MELD was 13 (IQR 10–17). Baseline MELD, MELDNa, GEMA and GEMANa were all associated with 90-day, 12 month and overall survival. In predicting 90-day mortality, AUROC analysis of the MELD score was 0.819 (0.753–0.884), MELD Na 0.813 (0.747–0.880), GEMA 0.809 (0.743–0.875) and GEMA Na 0.801 (0.732–0.870). Both 90-day and overall survival analysis showed significance at univariate analysis for bilirubin, creatinine, INR, albumin, WBC, MELD, MELDNa, GEMA, GEMANa, Bureau’s criteria, previous hepatic encephalopathy and the RFH eGFR. All prognostic scores (tested in separate multivariate models) except for Bureau’s were independently predictive of mortality at multivariable analysis at both 90 days (MELD aHR 1.138, 95% C.I. 1.090–1.188, MELDNa aHR 1.123, 95% C.I.1.076–1.172, GEMA aHR 1.136, 95% C.I. 1.078–1.185, GEMANa aHR 1.130, 95% C.I.1.078–1.185) and overall (MELD aHR 1.083, 95% C.I 1.045–1.122, MELDNa aHR 1.074, 95% C.I.1.037–1.111, GEMA aHR 1.077, 95% C.I. 1.040–1.115, GEMANa aHR 1.079, 95% C.I 1.040–1.119). Previous encephalopathy, smoking and age at TIPSS insertion remained independently significant in all models as did WBC (aHR 1.040, 95% C.I.1.008–1.072), RFH e-GFR (aHR 0.990, 95% C.I. 0.983–0.998) and MetALD (HR 1.912, 95% C.I 1.144–3.197) when modelled with the Bureau criteria for overall survival. Conclusion Prognostic scores assessed on this large cohort of TIPSS procedures performed for variceal bleeding were good predictors of mortality. As increasing numbers of pre-emptive procedures are being implemented, these will need to be re-assessed in this subset of patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".