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Record W2929415048 · doi:10.1186/s40425-019-0535-y

Influenza vaccination and myocarditis among patients receiving immune checkpoint inhibitors

2019· article· en· W2929415048 on OpenAlexafffund
Magid Awadalla, Doll Lauren Alexandra Golden, Syed Mahmood, Raza M. Alvi, Nathaniel D. Mercaldo, Malek Hassan, Dahlia Banerji, Adam Rokicki, Connor P. Mulligan, Sean Murphy, Maeve Jones‐O’Connor, Justine V. Cohen, Lucie Heinzerling, Merna Armanious, Ryan J. Sullivan, Rongras Damrongwatanasuk, Carol L. Chen, Dipti Gupta, Michael Constantin Kirchberger, Javid J. Moslehi, Sachin Shah, Sarju Ganatra, Paaladinesh Thavendiranathan, Muhammad A. Rizvi, Gagan Sahni, Alexander R. Lyon, Carlo G. Tocchetti, Valentina Mercurio, Franck Thuny, Stéphane Éderhy, Michael Mahmoudi, Donald P. Lawrence, John D. Groarke, Anju Nohria, Michael G. Fradley, Kerry L. Reynolds, Tomas G. Neilan

Bibliographic record

VenueJournal for ImmunoTherapy of Cancer · 2019
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsTed Rogers Centre for Heart ResearchToronto General Hospital
FundersNational Institute of Allergy and Infectious DiseasesNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchCenter for AIDS Research, University of WashingtonNational Cancer InstituteNational Institutes of HealthKohlberg FoundationSarnoff Cardiovascular Research FoundationAmerican Heart Association
KeywordsMyocarditisVaccinationMedicineImmunologyImmune systemInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Influenza vaccination (FV) is recommended for patients with cancer. Recent data suggested that the administration of the FV was associated with an increase in immune-related adverse events (irAEs) among patients on immune checkpoint inhibitors (ICIs). Myocarditis is an uncommon but serious complication of ICIs and may also result from infection with influenza. There are no data testing the relationship between FV and the development of myocarditis on ICIs. METHODS: Patients on ICIs who developed myocarditis (n = 101) (cases) were compared to ICI-treated patients (n = 201) without myocarditis (controls). A patient was defined as having the FV if they were administered the FV from 6 months prior to start of ICI to anytime during ICI therapy. Alternate thresholds for FV status were also tested. The primary comparison of interest was the rate of FV between cases and controls. Patients with myocarditis were followed for major adverse cardiac events (MACE), defined as the composite of cardiogenic shock, cardiac arrest, hemodynamically significant complete heart block and cardiovascular death. RESULTS: The FV was administered to 25% of the myocarditis cases compared to 40% of the non-myocarditis ICI-treated controls (p = 0.01). Similar findings of lower rates of FV administration were noted among myocarditis cases when alternate thresholds were tested. Among the myocarditis cases, those who were vaccinated had 3-fold lower troponin levels when compared to unvaccinated cases (FV vs. No FV: 0.12 [0.02, 0.47] vs. 0.40 [0.11, 1.26] ng/ml, p = 0.02). Within myocarditis cases, those administered the FV also had a lower rate of other irAEs when compared to unvaccinated cases (36 vs. 55% p = 0.10) including lower rates of pneumonitis (12 vs. 36%, p = 0.03). During follow-up (175 [IQR 89, 363] days), 47% of myocarditis cases experienced a MACE. Myocarditis cases who received the FV were at a lower risk of cumulative MACE when compared to unvaccinated cases (24 vs. 59%, p = 0.002). CONCLUSION: The rate of FV among ICI-related myocarditis cases was lower than controls on ICIs who did not develop myocarditis. In those who developed myocarditis related to an ICI, there was less myocardial injury and a lower risk of MACE among those who were administered the FV.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.229
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.026
GPT teacher head0.362
Teacher spread0.336 · 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 teacher head, 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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Citations77
Published2019
Admission routes2
Has abstractyes

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