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Enregistrement W4313533235 · doi:10.1001/jamanetworkopen.2022.48987

Examination of Adverse Reactions After COVID-19 Vaccination Among Patients With a History of Multisystem Inflammatory Syndrome in Children

2023· article· en· W4313533235 sur OpenAlexaff
Matthew D. Elias, Dongngan T. Truong, Matthew E. Oster, Felicia Trachtenberg, Xiangyu Mu, Pei‐Ni Jone, Elizabeth Mitchell, Kirsten Dummer, S. Kristen Sexson Tejtel, Onyekachukwu Osakwe, Deepika Thacker, Jennifer Su, Tamara T. Bradford, Kristin M. Burns, Michael J. Campbell, Thomas J. Connors, Laura D’Addese, Daniel Forsha, Olivia Frosch, Therese M. Giglia, Lauren Goodell, Stephanie S. Handler, Keren Hasbani, Camden L. Hebson, Anita Krishnan, Sean M. Lang, Brian W. McCrindle, Kimberly E. McHugh, Lerraughn Morgan, R. Mark Payne, Arash Sabati, Eyal Sagiv, Yamuna Sanil, Faridis Serrano, Jane W. Newburger, Audrey Dionne, Gail D. Pearson, Victoria L. Pemberton, D’Andrea Egerson, Lynn Mahony, Julie Ann Miller, Kerri Hayes, Allison Crosby‐Thompson, Ayesha Amarnath, James Ambrosoli, Cassandra Artis, Kay Rubio, Chitra Kinhikar, Amanda Marshall, Devine Mbiydzenyuy, Valentina Kazlova, Chenwei Hu, Lozan Eyob, Beverly Slayton, Lauren DiStefano, Jami Honig, Tiffany Bowie, Rob Nero, Emily Birmingham, Robin Rowe, Melissa Joyce, Cole Gallagher, Djenawa Bowman, Mo Zhang, Alissa Mooney, Andréea Dragulescu, Christopher Wai Kei Lam, Rae S. M. Yeung, Beth Gamulka, Jessica Bainton, Martha Rolland, Patti Walter, Simran Mahanta, Thomas Giorgio, Numaira Khan, Annette Baker, Lisa Jean Buckley, Jessica Jones, LaTina Watson, Anna Clarke, Tor-Samuel-Aleer Leek, Gwendolyn Orav, Tonia Morrison, Katherine Lupton, Donna Sylvester, Dana Albizem, Kristin Lanzilotta, Grace Marks, Madison Johnson, Megan M. Bickford, Linda M. Lambert, Lilly Fagatele, Andrea Curless, Mark W. Russell, Tammy Doman, Marisa Almaguer, Lauryn Dugan, Kathleen Rathge, Elle Seibert, Mary Stumpf, Jennifer L. Howell, Jyoti Patel, Gloria Mitscher, Melissa S. Burnett, Kolby Sanders-Lewis, Brooke DiGiovanni Evans, William T. Mahle, Lazaros Kochilas, Madison Rudow, Susie Gentry, Kristie Le, Caitlen Taylor, Lara Shekerdemian, Elias Moussi, Sandra Peña, Ricardo H. Pignatelli, Olukayode Garuba, Asela Liu, Brett R. Anderson, Chantal Sanchez, Karen Martyrosyan, Andrew L. Cheng, Sindhu Mohandas, Jodie K. Votava‐Smith, Shuo Wang, Pierre C. Wong, Kavita Sharma, María Paula Martínez, Parvin Mohazabnia, Wendy Rojas, Joseph Block, Regina Cole, Jennifer Maldonado, Shubhika Srivastava, Carol Prospero, Varsha Zadokar, Edward J. Williams, M. H. Carr, Kathleen Van’t Hof, Colleen Sullivan, Michael A. Portman, Hidemi Kajimoto, Deepthi G. Nair, Mikayla A. Beckley, Joan Pancheri, Katheryn Crane, Ashraf S. Harahsheh, Charles I. Berul, Laura Olivieri, Mitchell Haverty, Alix Fetch, Christina Schott, Sarah Litt, Jennifer C. Nelson, Michelle S. Hite, Isabel Glassmeyer, Todd Nowlen, Ashley Herzberg, Samantha Stack, Jade Porche, Susan Park, Amy J. Wagoner Johnson, Divya Shakti, Aimee S. Parnell, Michael D. Weiland, Phenique Parker, Jeffrey A. Kertis, Charlotte V. Hobbs, Candace M. Howard, Shivraj Savadkar, Aren E. Worrell, Madelyn R. Barr, Heather Williams, David P. Gordy, Preeti Vemula, Zachary White, Jemylle Grace S. Morato, Sandra Tyler, Michelle Sykes, Carl Owada, Mayra Lemus Rangel, Isaura Macias, Gautham Singh, Sanjeev Aggarwal, Charmaine Williams-Farr, Nancy Sullivan, Aiman Almasnaah, Vishnu Undyala, Brian Hannah, Mary Sue McCall, Jacob Strelow, Rachel Downey, Ken Shaffer, Chesney Castleberry, Lisa Pomeroy, Rachel Amsellem, Olga Shamailova, Marla Johnston, Juan Carlos Muniz, Moya Chang, Ryan Shea, Miriam Davis, Maryanne Chrisant, Danielle Katz, Norma Barton, Doris Alaby, Paulette Smith, Kevin Friedman, Francesca Sperotto, Ed Marcus, Raquel Conceição Ferreira, Patrick McGeoghegan, Michael D. Taylor, Joshua Germann, Andrew Powell, Andrew S. Mackie, Jogarao Gobburu, Sally Hunsberger, Patrick S. McQuillen, Michael C. Spaeder, Dianne L. Atkins, Craig S. Broberg, David J. Driscoll, F.J. Evans, Liza‐Marie Johnson, Thomas J. Knight, Paul H. Lipkin, J. Philip Saul

Notice bibliographique

RevueJAMA Network Open · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueKawasaki Disease and Coronary Complications
Établissements canadiensHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesNational Institute of General Medical SciencesNational Heart, Lung, and Blood Institute
Mots-clésMedicineVaccinationAdverse effectPopulationPediatricsMedical historyInternal medicineImmunologyEnvironmental health

Résumé

récupéré en direct d'OpenAlex

Importance: Data are limited regarding adverse reactions after COVID-19 vaccination in patients with a history of multisystem inflammatory syndrome in children (MIS-C). The lack of vaccine safety data in this unique population may cause hesitancy and concern for many families and health care professionals. Objective: To describe adverse reactions following COVID-19 vaccination in patients with a history of MIS-C. Design, Setting, and Participants: In this multicenter cross-sectional study including 22 North American centers participating in a National Heart, Lung, and Blood Institute, National Institutes of Health-sponsored study, Long-Term Outcomes After the Multisystem Inflammatory Syndrome in Children (MUSIC), patients with a prior diagnosis of MIS-C who were eligible for COVID-19 vaccination (age ≥5 years; ≥90 days after MIS-C diagnosis) were surveyed between December 13, 2021, and February 18, 2022, regarding COVID-19 vaccination status and adverse reactions. Exposures: COVID-19 vaccination after MIS-C diagnosis. Main Outcomes and Measures: The main outcome was adverse reactions following COVID-19 vaccination. Comparisons were made using the Wilcoxon rank sum test for continuous variables and the χ2 or Fisher exact test for categorical variables. Results: Of 385 vaccine-eligible patients who were surveyed, 185 (48.1%) received at least 1 vaccine dose; 136 of the vaccinated patients (73.5%) were male, and the median age was 12.2 years (IQR, 9.5-14.7 years). Among vaccinated patients, 1 (0.5%) identified as American Indian/Alaska Native, non-Hispanic; 9 (4.9%) as Asian, non-Hispanic; 45 (24.3%) as Black, non-Hispanic; 59 (31.9%) as Hispanic or Latino; 53 (28.6%) as White, non-Hispanic; 2 (1.1%) as multiracial, non-Hispanic; and 2 (1.1%) as other, non-Hispanic; 14 (7.6%) had unknown or undeclared race and ethnicity. The median time from MIS-C diagnosis to first vaccine dose was 9.0 months (IQR, 5.1-11.9 months); 31 patients (16.8%) received 1 dose, 142 (76.8%) received 2 doses, and 12 (6.5%) received 3 doses. Almost all patients received the BNT162b2 vaccine (347 of 351 vaccine doses [98.9%]). Minor adverse reactions were observed in 90 patients (48.6%) and were most often arm soreness (62 patients [33.5%]) and/or fatigue (32 [17.3%]). In 32 patients (17.3%), adverse reactions were treated with medications, most commonly acetaminophen (21 patients [11.4%]) or ibuprofen (11 [5.9%]). Four patients (2.2%) sought medical evaluation, but none required testing or hospitalization. There were no patients with any serious adverse events, including myocarditis or recurrence of MIS-C. Conclusions and Relevance: In this cross-sectional study of patients with a history of MIS-C, no serious adverse events were reported after COVID-19 vaccination. These findings suggest that the safety profile of COVID-19 vaccination administered at least 90 days following MIS-C diagnosis appears to be similar to that in the general population.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,002
Score d'incertitude au seuil0,391

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
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)0,0000,000

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 Opus0,014
Tête enseignante GPT0,249
Écart entre enseignants0,236 · 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 tête enseignante, 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

Citations16
Publié2023
Routes d'admission1
Résumé présentoui

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