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Record W4323353417 · doi:10.1093/jcag/gwac036.242

A242 DELAYED STEROID TAPER MAY REDUCE RISK OF RELAPSE IN PATIENTS WITH IMMUNE CHECKPOINT INHIBITOR ASSOCIATED HEPATOTOXICIT

2023· article· en· W4323353417 on OpenAlexaffabout
F Almousawi, M.O. Butler, Philippe L. Bédard, Anna Spreafico, Lyndon Siu, Michael P. Cunningham

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineInternal medicineMethylprednisoloneHepatitisPrednisoloneSteroid useGastroenterologyCancer

Abstract

fetched live from OpenAlex

Abstract Background Immune checkpoint inhibitors (ICI) have become the cornerstone of treatment of certain malignancies. However, they can result in systemic toxicities including hepatitis. Societal guidelines recommend initial management with high dose steroids, then a slow taper as hepatitis resolves. However, there is significant variation in steroid response with some patients experiencing a relapse of hepatitis as steroid doses are tapered (“steroid relapse”). Purpose Identify clinical features that predict relapse, and to explore variations in steroid management, in patients with ICI hepatotoxicity. Method Patients receiving ICI in early phase clinical trials at Princess Margaret Cancer Centre, or treated at the Toronto Centre for Liver Disease for ICI hepatotoxicity, were included. Patients with CTCAE Grade (G)3 ICI hepatotoxicity (ALT >5 x ULN) were identified and clinical records reviewed for management and outcomes. Patients with an alternate cause for ALT elevation; who did not receive corticosteroids; or with HCC or viral hepatitis, were excluded. Result(s) Between August 2012 and December 2021, 36 patients with G3 ICI hepatotoxicity were identified. Most (23; 64%) had metastatic melanoma. Thirteen received anti-CTLA-4/PD-1; 18 anti-PD-1 or anti-PD-L1, and 5 anti-CTLA-4 monotherapy. All patients initially received corticosteroids (1-2mg/kg/day methylprednisone equivalent). Thirteen patients (36%) were steroid relapsers. Consistent steroid response was seen in 18 (50%). Age, sex, liver metastases, prior ICI exposure, peak ALT or starting dose of steroids (≤1.5 vs >1.5mg/kg/day methylprednisolone equivalents) did not predict relapse, although relapsers were more likely to have been treated with combination anti-CTLA-4/PD-1 (7 (54%) relapsers, vs 3 (16%) responders, p = 0.02). Relapse occurred after a median of 14.5 days (range 8-111), and after taper to median 54% (5-100) of initial steroid dose. In responders, ALT normalisation occurred after median 14 days (range 3-56). In 27 patients where sufficient data were available, societal guidelines on ALT thresholds to initiate steroid taper were followed in 13 (48%; 6 relapsers and 7 responders). However, initiation of steroid taper was delayed in responders compared to relapsers (after median 7 days (2-15) in responders vs 4 days (range 2-9) in relapsers, p = 0.04). Overall, 5 relapsers responded to re-escalation of steroids. Eight required additional treatment with MMF, and 4 required 3rd line therapy with Tacrolimus. Ultimately, hepatitis resolved in all patients. Conclusion(s) In patients with ICI hepatotoxicity, combination ICI therapy confers a higher risk of steroid relapse than monotherapy. There is significant heterogeneity in management of steroid dosing in patients with ICI hepatotoxicity. Delayed initiation of steroid taper may be associated with a reduced risk of relapse and warrants prospective evaluation as part of a standardised management algorithm. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.217
Teacher spread0.210 · 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 designObservational
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".

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Citations1
Published2023
Admission routes2
Has abstractyes

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