P0701 Trans-continental analysis of determinants of response to COVID-19 vaccination in 2268 patients with Inflammatory Bowel Disease
Notice bibliographique
Résumé
Abstract Background Little is known about the relative efficacy of available COVID-19 vaccine types around the world in immune-compromised patients with inflammatory bowel disease (IBD).1,2 We aimed to compare antibody responses to SARS-CoV-2 in patients with IBD who had received mRNA, vector, and inactivated virus vaccines and the impact of medications thereof among multinational sites. Methods Serum samples taken after 1st, 2nd, and 3rd doses of COVID-19 vaccines from patients with IBD seen at 13 sites across Europe, Asia, and North America were prospectively collected between January 2021 and November 2022. We measured anti-Spike (S) and anti-nucleocapsid (N) antibody levels. To identify determinants of serological responses to vaccination, both univariate and multivariate analyses were conducted. Results There were a total of 2,268 patients, including 1,279 Crohn’s disease (CD) and 868 ulcerative colitis (UC) (Table 1). 1552 patients had an mRNA vaccine, 590 an adenovirus vaccine, and 98 an inactivated virus vaccine. At 14-84 days, 85-168 days, and 169+ days after completing a full vaccination series, the proportion of patients who were positive for anti-S antibodies were 98% (n=922/939), 96% (n=700/731), and 98% (n=677/692) for mRNA, 95% (n=378/396), 89% (n=55/62), and 97% (n=33/34) for adenovirus, and 72% (n=21/29), 84% (n=31/37), and 95% (n=55/58) for inactivated virus vaccine, respectively. On univariate analysis, rates of serological response were highest in those who received mRNA vaccines at all six time periods (Figure 1a). Adenovirus vaccine response rates closely resembled the rate of seropositivity in mRNA vaccinated patients. In contrast, inactivated vaccines had a significantly lower percent of patients reaching seropositivity until 169 days or more after the second vaccine dose (p<0.001). Anti-TNF monotherapy and immunomodulator monotherapy were associated with the ability to obtain maximum antibody titres. However, this difference is ablated after the 3rd dose (Figure 1c). Univariate analysis also implicated geographical site, male sex, and a diagnosis of ulcerative colitis as determinants of serological responses. On multi-variable analysis, vaccine type (p < 0.001 at every time point analysed) and the use of immunomodulators (p <0.001 at time points 1 and 3) were confirmed as independent determinants of vaccine responsiveness across the study populations. Conclusion Our data suggests that while there is variability between geographical centers, the response rates are high worldwide, and the key determinants of serological response to vaccines are the use of immunosuppressive agents and vaccine class.3 These data are important considerations for better pandemic preparedness in the IBD community worldwide. References (1)Wong SY, Wellens J, Helmus D, et al. Geography Influences Susceptibility to SARS-CoV-2 Serological Response in Patients With Inflammatory Bowel Disease: Multinational Analysis From the ICARUS-IBD Consortium. Inflamm Bowel Dis. 2023;29(11):1693-1705. doi:10.1093/ibd/izad097 (2)Goodyear CS, Patel A, Barnes E, et al. Immunogenicity of third dose COVID-19 vaccine strategies in patients who are immunocompromised with suboptimal immunity following two doses (OCTAVE-DUO): an open-label, multicentre, randomised, controlled, phase 3 trial. Lancet Rheumatol. 2024;6(6):e339-e351. doi:10.1016/S2665-9913(24)00065-1 (3)Barnes E, Goodyear CS, Willicombe M, et al. SARS-CoV-2-specific immune responses and clinical outcomes after COVID-19 vaccination in patients with immune-suppressive disease. Nat Med. 2023;29(7):1760-1774. doi:10.1038/s41591-023-02414-4
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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 | 0,000 | 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 ».