MétaCan
Menu
← Back to cohort

1311: TERLIPRESSIN IMPROVES OUTCOMES IN PATIENTS WITH HRS AND ALCOHOLIC HEPATITIS: THE CONFIRM STUDY

2023· article· en· W4389730374 on OpenAlexaff
Jody C. Olson, Ram Subraminian, Andrew S. Allegretti, Constantine Karvellas, Khurram Jamil

Bibliographic record

VenueCritical Care Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineTerlipressinAlcoholic hepatitisInternal medicineIntensive care medicineAlcoholic liver diseaseGastroenterologyCirrhosisHepatorenal syndrome

Abstract

fetched live from OpenAlex

Introduction: Alcoholic hepatitis (AH) may lead to liver cirrhosis, hepatorenal syndrome (HRS) and subsequently acute-on-chronic liver failure (ACLF). Terlipressin (terli) is FDA-approved to treat HRS, with greater benefit if treatment is initiated when serum creatinine (SCr) is < 5 mg/dL; patients (pts) with ACLF grade 0–2 have a lower risk of respiratory failure. In pts with AH complicated by HRS, terli is associated with a greater rate of HRS reversal versus placebo (pbo). This post hoc analysis of the pbo-controlled CONFIRM study evaluated the efficacy of terli in the subgroup of pts with HRS, ACLF grade 0–2 and SCr < 5 mg/dL, excluding any pts with contraindications or warnings (i.e., ACLF grade 3 or SCr >5 mg/dL) as listed in the US prescribing information (USPI). Methods: The incidence of verified HRS reversal—defined as 2 consecutive SCr values ≤1.5 mg/dL at least 2 hours apart while on treatment and alive without RRT for at least 10 days—and HRS reversal—defined as SCr ≤1.5 mg/dL while on treatment, overall survival up to 90 days, and renal replacement therapy (RRT)-free survival up to Day 90 were assessed. Statistical analyses were performed using a Cochran-Mantel-Haenszel test or a 2-sample log-rank test to compare treatment arms. Results: From the CONFIRM intent-to-treat population (N=300), 117 pts had HRS associated with AH, ACLF grade 0–2, and SCr < 5 mg/dL (terli n=78; pbo n=39). Baseline demographics were comparable across treatment arms. The incidence of verified HRS reversal was significantly higher in pts treated with terli (25/78 [32%]) versus pbo (3/39 [8%], P=0.004), as was the incidence of HRS reversal (terli: 29/78 [37%] vs pbo: 4/39 [10.3%], P=0.002). Overall survival up to 90 days was similar between the terli and pbo arms (log rank P=0.450). The number of pts alive at Day 90 was also similar (37/78 [47%] vs 18/39 [46%]. RRT-free survival was numerically longer in the terli arm compared with pbo (median RRT-free survival: 21 days vs 12 days, log rank P=0.110). Conclusions: In CONFIRM, the largest prospective pbo-controlled study of terli to date, pts with AH and HRS, who met the current USPI criteria (i.e., ACLF grade 0–2 and SCr < 5 mg/dL) had a significantly better response rate than pbo, highlighting the utility of terli in reversing acute kidney injury in pts with AH.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.017
GPT teacher head0.320
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCritical Care Medicine→Same topicLiver Disease Diagnosis and Treatment→French-language works237,207→