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Enregistrement W4405044345 · doi:10.1182/blood-2024-211949

COVID-19 Humoral Immunity Improves with Third and Subsequent Vaccine Doses in Patients with Plasma Cell Dyscrasias, Particularly in Those Receiving antiCD38 Therapy

2024· article· en· W4405044345 sur OpenAlexaffabout
Sita Bhella, Allison M. Wilkin, Katrina Hueniken, Abi Vijenthira, Michaël Sébag, Peng Wang, Lisa K. Hicks, Annette E. Hay, Arleigh McCurdy, Seyed M. Hosseini‐Moghaddam, Donna Reece, Sarit Assouline, Amaris Balitsky, Joy Mangel, Carolyn Owen, Anthony Reiman, Laurie H. Sehn, Heather J. Sutherland, Corey Arnold, Tamara Leite, Erinn McCarthy, Curtis Cooper, Marc‐André Langlois, C. Arianne Buchan

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensUniversity of British ColumbiaSaint John Regional HospitalAlberta Health ServicesWestern UniversityJuravinski Cancer CentreSt. Michael's HospitalJewish General HospitalToronto General HospitalMcMaster UniversityQueen's UniversityUniversity of AlbertaUniversity of OttawaMcGill UniversityUniversity Health NetworkOttawa HospitalVancouver General HospitalPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésImmunologyDyscrasiaMedicineHumoral immunityPlasma cellCoronavirus disease 2019 (COVID-19)VirologyImmunityCellular immunityConvalescent plasmaImmune systemAntibodyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Background Immune response to COVID-19 vaccine is diminished in patients (pts) with plasma cell dyscrasias (PCD). An emphasis has been placed on completing repeated doses of vaccine in this population but limited data regarding response to serial vaccine dosing exist. Purpose To quantify the humoral immune response engendered by 3rd and subsequent doses of SARS-CoV-2 vaccination as measured by anti-Spike (anti-S) antibody levels, based on dried blood spot (DBS) testing, in pts with PCD. Methods We conducted a prospective study of pts with hematologic malignancies between August 2021 and January 2023 at 12 Canadian sites. Participants were followed longitudinally and submitted finger-prick DBS cards at set intervals associated with vaccination. Samples were processed via high throughput ELISA assay to detect serum antibodies against nucleocapsid (N) and spike (S) proteins. We explored seroresponse from anti-S- to anti-S+ with subsequent vaccine dosing through paired DBS samples pre- and post-dose 3,4,5. Pre-dose samples were taken <60 days before vaccination and post dose samples were taken 7-42 days after vaccination. Results Out of this cohort's 791 pts with hematologic malignancies, we obtained 1033 samples from 277 pts with PCD [median age was 65 years, 53% female]. Sixty-nine pts (26%) underwent autologous stem cell transplant (ASCT), 6 (2%) received immune effector cell therapy. 259,260, 186, 75 and 15 pts received 2,3,4,5 and 6 vaccine doses respectively. At study initiation, 5.6% (95% CI 2.9, 8.3) were anti-N positive, increasing to 21.1% (95% CI 14.6, 27.5) at study end. 67.3% (95% CI 58.6, 76.0) were anti-S positive at study initiation increasing to 93.6% (95% CI 90.2, 96.9) at study end. The percentage of pts with an anti-S+ at one month after 3rd dose was 83.7% (95% CI 77.5,90.0), which decreased to 70.6% (95% CI 62.9,78.4) at six months. Similarly, anti-S+ seroresponse after the 4th dose decreased from 85.8% (95% CI 80.1,91.4) at one month to 82.5% (95% CI 74.4, 90.6) at six months. We analyzed paired samples from pts who submitted DBS samples pre- and post-vaccine doses. For dose 3, 6/23 (26.1%) of pts with a negative anti-S pre-dose converted to positive anti-S after receipt of the 3rd dose. For dose 4, 7/75 (9.4%) converted from a negative anti-S pre-dose to a positive result post-dose. Although 20 paired samples were available for analysis pre-post dose 5, no pt was anti-S negative before the dose. Anti-S+ seroresponse was explored post dose 3,4, and 5 by current type of myeloma therapy. Pts were categorized as receiving anti-CD38 mAb (antiCD38) versus no anti-CD38 mAb (no mAb) treatment. 78 pts had DBS samples post dose 3, 14 antiCD38, 64 no mAb. Post dose 3, 87%,50% and 95% of the whole cohort, antiCD38 and no mAb respectively were anti-S +. 117 pts had DBS samples post dose 4, 41 antiCD38, 76 no mAb. Post dose 4, 86%,68% and 96% of the whole cohort, antiCD38 and no mAb cohorts were anti-S + respectively. 58 pts had DBS samples post dose 5, 16 antiCD38, 42 no mAb. Of the full cohort post dose 5, antiCD38 and no mAb, 97%,100% and 95% were anti-S + respectively. We analyzed paired samples from pts who submitted DBS samples pre-and post-vaccine and explored by treatment group. 20 paired samples among no mAb pts were available pre-post dose 3 and 6/20 pts had a seroresponse from anti-S - to anti-S+. No seroconversion was noted pre-post dose 3 among 2 paired anti-S- samples in the antiCD38 group. 27 paired samples were in the antiCD38 group pre-post dose 4 and there was seroresponse of 2/27 pts and no seroresponse of the 10/27 remaining anti-S-pts post dose 4. In the no mAb group, 44 paired samples were available, 6/44 were anti-S negative and 4/6 (66.7%) demonstrated seroresponse post dose 4. Of 277 pts, we examined the presence of COVID-19 infection by follow up questionnaire and chart review. 70/243 (29%) self-reported a COVID-19 infection. 48/189 (25%) and 4/189(2%) were noted to have a COVID-19 infection and hospital admission on chart review respectively. There were no recorded deaths from COVID-19. Conclusion This prospective cohort study demonstrated that humoral immune response improved with subsequent doses of COVID-19 vaccines for PCD pts. Pts receiving antiCD38 therapy had lower proportions of anti-S positivity, which improved with subsequent vaccines. Seroresponse to subsequent vaccinations were noted with conversion to anti-S +. Low hospitalization and mortality rate in this at-risk population is noteworthy.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,021
Tête enseignante GPT0,287
Écart entre enseignants0,265 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission2
Résumé présentoui

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