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608 SARS-CoV-2 vaccine safety and side effects in people with SLE

2022· article· en· W4313532821 on OpenAlexaffabout
Laura Yan, Arielle Mendel, Évelyne Vinet, Christian A. Pineau, Fares Kalache, Louis-Pierre Grenier, Jennifer Lee, Popi Panaritis, Sasha Bernatsky

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersAstraZenecaEli Lilly and Company
KeywordsMedicineVaccinationCohortSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)PopulationPediatricsAdverse effectInternal medicineImmunologyDisease

Abstract

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Background People with SLE (and their doctors) are concerned about the risk of COVID-19 infection, yet some patients still harbor concerns regarding vaccination. The first mRNA SARS-CoV-2 vaccines were not studied in this population.1, 2 To address this knowledge gap, we evaluated the safety and side effects of mRNA SARS-CoV-2 vaccines in people with SLE. Methods At a Canadian tertiary care centre, we studied SLE cohort patients who were followed with standardized annual assessments. From January 2021 to May 2022, 345 SLE patients consecutively seen for their annual research visit reported information on SARS-CoV-2 vaccinations. We performed descriptive data analysis on the type of vaccination received, side effects, ER visits, and hospitalizations. Result The patients were mostly female (n=306, 88.7%) and Caucasian (n=209, 60.6%) and the average SLE duration was 19.7 years (SD 11.9). Most patients (n=298, 86.4%) had received at least one SARS- CoV-2 vaccination and 248 (71.9%) has received at least 2 doses. Specifically, 50 (14.5%) had received one dose, 150 (43.5%) had received 2 doses and 98 (28.4%) had received at least 3. Most (n=181, 60.7%) of initial doses were Pfizer, followed by Moderna (n=54, 18.1%), AstraZeneca (n=12, 4.0%) and Johnson & Johnson (n=1, 0.3%). (The remaining (n=50, 16.8%) were unknown type.) About two-thirds (n=159, 63.3%) of the second doses were Pfizer, and 49 (19.5%) were Moderna. Among those receiving at least 1 vaccination dose, 34 of 128 patients who responded to the question reported symptoms post-vaccine (26.6%). The most common symptoms were fever and injection- related arm pain; both were reported at equal frequency (n=9, 7.0%). Other symptoms were fatigue and headache (n=6, 4.6% for both). There were 3 cases of myalgia and 2 cases of arthralgia. One patient reported hypertension after the first dose of vaccine which required a short 24h ER visit. The remaining did not specify their symptoms. No patients reported disease flare in the post vaccination period. Amongst those who provided information about SARS-CoV-2 infection (n=243), 19.3% reported testing positive for SARS-CoV-2. Only one patient required hospitalization for SARS-CoV-2 infection and was vaccine naïve at the time. Conclusion SARS-CoV-2 mRNA vaccine side effects in this SLE population were reported in about a quarter of subjects but symptoms were mild, similar to reports in the general population. We did not detect any side effects requiring hospitalization. Since, in our cohort, the one subject requiring hospitalization for SARS-CoV-2 infection was vaccine-naïve, a benefit for SARS-CoV-2 vaccination in SLE seems evident. References Polack FP et al; C4591001 Clinical Trial Group. Safety and Efficacy of the BNT162b2 mRNA Covid- 19 Vaccine. N Engl J Med. 2020;383(27):2603–2615. doi: 10.1056/NEJMoa2034577. Baden LR et al. COVE Study Group. Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine. N Engl J Med. 2021;384(5):403–416. doi: 10.1056/NEJMoa2035389.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.312
Teacher spread0.294 · 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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Citations0
Published2022
Admission routes2
Has abstractyes

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