MétaCan
Menu
Back to cohort

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

2023· article· en· W4313533235 on 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

Bibliographic record

VenueJAMA Network Open · 2023
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersNational Institute of General Medical SciencesNational Heart, Lung, and Blood Institute
KeywordsMedicineVaccinationAdverse effectPopulationPediatricsMedical historyInternal medicineImmunologyEnvironmental health

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.249
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJAMA Network OpenSame topicKawasaki Disease and Coronary ComplicationsFrench-language works237,207