Abstract 9341: Hepatic Steatosis Index and Fibrosis-4 Scores in Patients With Type 2 Diabetes - Post Hoc Analyses from VERTIS CV
Bibliographic record
Abstract
Introduction: Given the potential link between non-alcoholic fatty liver disease and increased cardiovascular (CV) risk, the associations between markers of hepatic steatosis/fibrosis with CV and kidney outcomes were explored. Methods: These post hoc analyses were conducted on data from the VERTIS CV trial that randomized patients with type 2 diabetes (T2D) and atherosclerotic CV disease (ASCVD) to ertugliflozin 5 or 15 mg or placebo, with all randomized groups pooled for the present analyses. The presence of hepatic steatosis was estimated by hepatic steatosis index (HSI; 8 х ALT/AST + BMI + 2 if T2D + 2 if female); and for hepatic fibrosis, fibrosis-4 score (FIB-4; [age х AST]/[platelets count х √ALT]). Patients were divided into quartiles (Q1 to Q4) according to baseline for each score. CV and kidney outcomes (CV death/myocardial infarction/stroke [MACE]; hospitalization for heart failure [HHF]/CV death; CV death; HHF; and sustained ≥40% decrease in eGFR from baseline/dialysis or transplantation/kidney death) were stratified by baseline HSI and FIB-4 quartiles. Results: Among 8246 patients, the mean age was 64.4 years, mean BMI 32.0 kg/m 2 , mean HSI 44.0, and mean FIB-4 score 1.34. Event rates of MACE, HHF/CV death, CV death, and HHF increased with FIB-4 quartile ( Fig A ). The hazard ratios (HR, 95% CI) of events by FIB-4 quartile (Q4 vs Q1) were 1.48 (1.25, 1.76), 2.0 (1.63, 2.51), 1.85 (1.45, 2.36), and 2.94 (1.98, 4.37) for MACE, HHF/CV death, CV death, and HHF, respectively. The kidney composite did not differ across FIB-4 quartiles. CV and kidney outcomes did not differ across HSI quartiles, except for higher incidence of HHF in the upper HSI quartile (HR [95% CI], Q4 vs Q1: 1.52 [1.07, 2.17]) ( Fig B ). Conclusion: In VERTIS CV, baseline fibrosis scores were associated with incident CV events in patients with T2D and ASCVD, despite the upper cutoff excluding advanced fibrosis. Steatosis only correlated with HHF, and neither measure was associated with the composite kidney outcome.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".