S1004 Adverse Events and Serological Responses Following SARS-CoV-2 Vaccination in Individuals With Inflammatory Bowel Disease
Notice bibliographique
Résumé
Introduction: The rapid development and distribution of SARS-CoV-2 vaccines has raised concerns surrounding vaccine safety in immunocompromised populations, such as those with inflammatory bowel disease (IBD). We described adverse events (AEs) following SARS-CoV-2 vaccination in those with IBD and to determine any relationship of AEs to post-vaccination antibody titres. Methods: Individuals with IBD from a prospective cohort in Calgary, Canada who received a first, second, third, and/or fourth dose of a SARS-CoV-2 vaccine (Pfizer-BioNTech, Moderna, and/or AstraZeneca) were assessed for serological response and interviewed via telephone for AEs using questions based on the Adverse Events Following Immunization form. Subsequently, we used the Wilcoxon rank-sum test to analyze AEs and geometric mean titers (GMT). Interview and chart review were used to assess a flare of IBD within 30 days of vaccination. Results: Table describes characteristics of individuals with IBD following the first dose (n=331), second dose (n=331), third dose (n=195), and fourth dose (n=100) of a SARS-CoV-2 vaccine. AEs were reported in 83.3% of participants after first dose, 79.1% following second dose, 77.4% following third dose, and 67.0% following fourth dose (Table). Injection site reaction (pain, redness, etc.) was the most common AE (50.8% of total AEs), with fatigue and malaise (18.1% of total AEs), headache and migraine (8.6% of total AEs), musculoskeletal discomfort (8.2% of total AEs), and fever and chills (6.5% of total AEs) also commonly reported. Only one participant was diagnosed with a severe AE requiring hospitalization: immune thrombocytopenic purpura (ITP) following their second dose of a Pfizer vaccine. No cases of IBD flare occurred within 30 days of a vaccine. Analysis found elevated GMT levels in those with injection site reactions compared to those without injection site reactions following all four doses, with second dose serological responses being statistically significantly different (8614/mL vs 6841 AU/mL [p< 0.05], respectively) (Figure). Conclusion: AEs following SARS-CoV-2 vaccination are generally mild and become less common with each consecutive dose. Antibody titres may be higher for participants who report injection site reactions compared to those without injections site reactions after second dose. Vaccines did not appear to be associated with a flare of IBD within 30 days of vaccination.Figure 1.: Anti-SARS-CoV-2 spike antibody concentration across four doses of SARS-CoV-2 vaccine for participants who reported injection site reactions compared to participants who did not. * indicates statistical significant differences. Table 1. - Participant characteristics and adverse events following first, second, third, and fourth dose of a SARS-CoV-2 vaccine Characteristics Dose 1 (/331) Dose 2 (/331) Dose 3 (/195) Dose 4 (/100) Sex, n (%) Male Female 155 (46.8%)176 (53.2%) 155 (46.8%)176 (53.2%) 86 (44.1%)109 (55.9%) 49 (49.0%)51 (51.0%) Mean age (SD) 52.05 (14.52) 52.05 (14.52) 51.81 (15.20) 57.98 (14.01) IBD Type, n (%) Crohn’s Disease Ulcerative Colitis & IBD-U 238 (71.9%)93 (28.1%) 238 (71.9%)93 (28.1%) 150 (76.9%)45 (23.1%) 75 (75.0%)25 (25.0%) Medication, n (%) No immunosuppressives Anti-TNF only† Immunomodulators only Vedolizumab only Ustekinumab only Tofacitinib only Combination therapy‡ Oral Corticosteroids 33 (10.0%)118 (35.7%)7 (2.1%) 37 (11.2%)76 (23.0%)5 (1.5%)49 (14.8%)6 (1.8%) 32 (9.7%)119 (36.0%)7 (2.1%)39 (11.8%)74 (22.4%)5 (1.5%)47 (14.2%)8 (2.4%) 14 (7.2%)74 (38.0%)5 (2.6%)19 (9.7%)42 (21.5%)< 536 (18.5%)< 5 27 (27.0%)20 (20.0%)< 59 (9.0%)16 (16.0%)—18 (18.0%)7 (7.0%) Vaccine Type, n (%) Pfizer Moderna AstraZeneca 271 (81.9%)45 (13.6%)15 (4.5%) 275 (83.1%)49 (14.8%)7 (2.1%) 179 (91.8%)16 (8.2%)— 82 (82.0%)18 (18.0%)— Adverse Events Dose 1 (/331) Dose 2 (/331) Dose 3 (/195) Dose 4 (/100) Injection site, n (%) 250 (75.5%) 231 (70%) 138 (70.8%) 55 (55.0%) Lymph node swelling, n (%) 1 (0.3%) 9 (2.7%) 14 (7.2%) 1 (1.0%) Gastrointestinal, n (%) 17 (5.1%) 16 (4.8%) 6 (3.1%) 2 (2.0%) Fatigue or malaise, n (%) 86 (26.0%) 87 (26.3%) 45 (23.1%) 22 (22.0%) Fever or chills, n (%) 27 (8.2%) 35 (10.6%) 19 (9.7%) 5 (5.0%) Musculoskeletal, n (%) 34 (10.3%) 41 (12.4%) 25 (12.8%) 9 (9.0%) Headache or migraine, n (%) 34 (10.3%) 46 (13.9%) 23 (11.8%) 11 (11.0%) Other, n (%) 16 (4.8%)α 14 (4.2%)β 7 (3.6%)γ 2 (2.0%)δ Any symptoms, n (%) 275 (83.3%) 261 (79.1%) 151 (77.4%) 67 (67.0%) †One of golimumab, adalimumab, or infliximab (originator or biosimilar) ‡Any combination of anti-TNF and one or more of the following therapies: vedolizumab, ustekinumab, tofacitinib, azathioprine, 6-mercaptopurine, or methotrexate αParesthesia, chin swelling, dysgeusia, numbness, hot flashes, irritability, ennui, hyperactivity, brain fog, congestion, dry eyes, sleep trouble, testicular swelling, angioedema, sinus swelling, throat swelling βShingles, hot flashes, brain fog, sleep troubles, rapid heartbeat, forced breathing, congestion, angioedema, throat swelling, leg swelling γHot flashes, brain fog, sleep troubles, sore throat, congestion, angioedema, ITP δParesthesia, sleep troubles
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,000 | 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 tête enseignante, 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 ».