MétaCan
Menu
Back to cohort

P047 The triple M threat of check-point inhibitors - an emerging overlap syndrome

2022· article· en· W4293181453 on OpenAlexaff
Amanda Mootoo, Ammara Masood, Panagiotis Maghsoudlou, David D’Cruz

Bibliographic record

VenueLara D. Veeken · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineMyasthenia gravisRituximabMyositisInternal medicineCyclophosphamidePrednisoloneMyocarditisImmunosuppressionmyalgiaChlorambucilGastroenterologySurgeryLymphomaChemotherapy

Abstract

fetched live from OpenAlex

Abstract Background/Aims The objective of this abstract is to raise awareness on an emerging overlap syndrome of life-threatening immune-related adverse events, manifesting as a triad of myositis, myocarditis and myasthenia gravis in immune check-point inhibitor (ICI) treated patients. It highlights the success of combination, aggressive and prompt immunosuppression with high dose intravenous steroid, cyclophosphamide, rituximab and intravenous immunoglobulin therapy, in two patients presenting at Guy’s and St Thomas’s Hospital, London with this overlap syndrome following pembrolizumab therapy. Methods Case presentation. Case 1: 75-year-old Caucasian gentleman receives one dose of pembrolizumab for metastatic melanoma. Two weeks later, he presents with myalgia, weakness, elevated CK 10,000. Troponin T is raised 459, ECG shows right bundle branch block (RBBB) and on day 3, he rapidly descends into complete heart block then cardiac arrest. Return of spontaneous circulation is obtained and a permanent pacemaker (PPM) inserted. On day 6, myocardial biopsy confirms acute myocarditis. He develops progressive muscle weakness, dysphagia and Type 2 respiratory failure. He receives 3 doses of IV methylprednisolone, in addition to intravenous immunoglobulins (IVIG) and intravenous cyclophosphamide. EMG shows mild myopathic features, positive AChR antibody, SSA/Ro60 and myositis-specific SRP antibodies and he becomes dependent on non-invasive ventilation. He commences pyridostigmine for myasthenia gravis. On day 19 two doses 1g Rituximab two weeks apart is administered. Monthly IVIG continues for three months and he completes 6 cycles of 500mg cyclophosphamide. A year following discharge, he is maintained on prednisolone 5mg OD with no additional immunosuppression and significantly improved muscle strength. Case 2: 77-year-old Caucasian gentleman receives one dose of pembrolizumab for metastatic melanoma. Four weeks later, he presents with myalgia, bilateral ptosis, muscle weakness and breathlessness. Bloods show CK 6467, troponin T 1058. He promptly receives 3 doses of IV methylprednisolone in addition to IVIG. A PPM is inserted electively as ECGs show RBBB and intermittent bradyarrhythmias. His anti-Ro/SSA-52 antibody is positive and AChR and myositis-specific antibodies are negative. He trials neostigmine due to persistent ptosis. On Day 6, muscle biopsy confirms immune-mediated necrotising myositis and he commences intravenous cyclophosphamide 500mg followed by 5 further cycles. On day 7, 1g intravenous rituximab is administered and repeated two weeks later, additional to monthly IVIG for five months. 6 months later, his CK has normalised and he has no residual muscle weakness. Results n/a Conclusion Although a rare complication of ICIs, this triad of myositis, myocarditis and myasthenia gravis can be potentially severe and fatal. With ICI reshaping the prognosis of several cancers and pembrolizumab gaining recent further approvals, we will increasingly encounter this therapeutic challenge. Therefore, raising awareness of this overlap syndrome amongst rheumatologists is even more critical to allow for prompt recognition and treatment with immunosuppression. Disclosure A. Mootoo: None. A. Masood: None. P. Maghsoudlou: None. D. D'Cruz: None.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.020
GPT teacher head0.277
Teacher spread0.257 · 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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueLara D. VeekenSame topicCancer Immunotherapy and BiomarkersFrench-language works237,207