608 SARS-CoV-2 vaccine safety and side effects in people with SLE
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».