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Enregistrement W4406308349 · doi:10.1001/jamapediatrics.2024.5466

Six-Month Outcomes in the Long-Term Outcomes After the Multisystem Inflammatory Syndrome in Children Study

2025· letter· en· W4406308349 sur OpenAlexaff
Dongngan T. Truong, Felicia Trachtenberg, Chenwei Hu, Gail D. Pearson, Kevin Friedman, Arash Sabati, Audrey Dionne, Matthew E. Oster, Brett R. Anderson, Joseph Block, Tamara T. Bradford, Michael J. Campbell, Laura D’Addese, Kirsten Dummer, Matthew D. Elias, Daniel Forsha, Olukayode Garuba, Keren Hasbani, Kerri Hayes, Camden L. Hebson, Pei-Ni Jone, Anita Krishnan, Sean M. Lang, Brian W. McCrindle, Kimberly E. McHugh, Elizabeth Mitchell, Tonia Morrison, Juan Carlos Muniz, R. Mark Payne, Michael A. Portman, Mark W. Russell, Yamuna Sanil, Divya Shakti, Kavita Sharma, J. Ryan Shea, Michelle Sykes, Lara Shekerdemian, Jacqueline Szmuszkovicz, Deepika Thacker, Jane W. Newburger, Kristin M. Burns, Victoria L. Pemberton, D’Andrea Egerson, Lynn Mahony, Julie Ann Miller, Allison Crosby‐Thompson, Ayesha Amarnath, James Ambrosoli, Cassandra Artis, Kay Rubio, Chitra Kinhikar, Amanda Marshall, Devine Mbiydzenyuy, Valentina Kazlova, PJ Mu, 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, Therese M. Giglia, Katherine Lupton, Donna Sylvester, Dana Albizem, Kristin Lanzilotta, Grace Marks, Tyler Kasmarcak, Madison Johnson, Megan M. Bickford, Edem Binka, Linda M. Lambert, Lilly Fagatele, Emma Joyce, Andrea L. Dunn, Tammy Doman, Lori Harris, Marisa Almaguer, Elise Pickering, Lauryn Dugan, Kathleen Rathge, Elle Seibert, Mary Stumpf, Jennifer L. Howell, Jyoti Patel, Nancy Kehlenbrink, Gloria Mitscher, Melissa S. Burnett, Kolby Sanders-Lewis, Morgan Van Dresser, Beatrice Doe-Printemps, Brooke DiGiovanni Evans, William T. Mahle, Lazaros Kochilas, Madison Rudow, Susie Gentry, Kristie Le, Caitlen Taylor, S. Kristen Sexson Tejtel, Elias Moussi, Faridis Serrano, Sandra Peña, Ricardo H. Pignatelli, Asela Liu, Kanwal M. Farooqi, Amee Shah, Michael P. DiLorenzo, Neeka Karaminian, Katrina Golub, Chantal Sanchez, Chanel Rojas, Karen Martyrosyan, Andrew L. Cheng, Sindhu Mohandas, Jodie K. Votava‐Smith, Shuo Wang, Pierre C. Wong, Jennifer Su, Allison Garcia, Anastasia Sarkissian, Matthew Dam, Javier Medina, Catherine Ikemba, Maria Martinez, Parvin Mohazabnia, Dewey Evans, Wendy Rojas, Stephanie S. Handler, Regina Cole, Jennifer Maldonado, Shubhika Srivastava, Carol Prospero, Varsha Zadokar, Edward J. Williams, Michael R. Carr, Kathleen Van’t Hof, Lauren Goodell, Colleen Sullivan, Jason Lu, Aaron Olson, Eyal Sagiv, Sujatha Buddhe, Hidemi Kajimoto, Deepthi G. Nair, Mikayla A. Beckley, Camilla Pedroso, Joan Pancheri, Sherrie Bandy, Katheryn Crane, Ashraf S. Harahsheh, Charles I. Berul, Laura Olivieri, Jordyn Britton, Mitchell Haverty, Alix Fetch, Christina Schott, Sarah Litt, Jennifer C. Nelson, Dara Watkins, Suchitra Rao, Michelle Hite, Isabel Glassmeyer, Heather Heizer, Sonia Chavez, Todd Nowlen, Ashley Herzberg, Samantha Stack, Jade Porche, Megan Warner, Susan Park, Amy J. Wagoner Johnson, Amy Ellerbe, Katherine Hildebrand, Aimee S. Parnell, Onyekachukwu Osakwe, 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, Lerraughn Morgan, Carl Owada, Mayra Lemus Rangel, Isaura Macias, Tania Jimenez, Gautham Singh, Sanjeev Aggarwal, Charmaine Williams-Farr, Nancy Sullivan, Aiman Almasnaah, Vishnu Undyala, Brian Hannah, Mary Sue McCall, Emily Ward, Louis Keith, Jacob Strelow, Sagar Jani, Rachel Downey, Ken Shaffer, Chesney Castleberry, Lisa Pomeroy, Rachel Amsellem, Olga Shamailova, Arlett Zelaya, Marla Johnston, Moya Chang, Ryan Shea, Miriam Davis, Maryanne Chrisant, Danielle Katz, Norma Barton, Doris Alaby, Paulette Smith, Bukky Oni, Francesca Sperotto, Ed Marcus, Patrick McGeoghegan, Michael D. Taylor, Joshua Germann, Andrew J. 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 Pediatrics · 2025
Typeletter
Langueen
DomaineMedicine
ThématiqueKawasaki Disease and Coronary Complications
Établissements canadiensHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesNational Institute of General Medical Sciences
Mots-clésMedicineEjection fractionCoronary artery diseaseExtracorporeal membrane oxygenationCohortInternal medicinePediatricsCardiologyHeart failure

Résumé

récupéré en direct d'OpenAlex

Importance: Multisystem inflammatory syndrome in children (MIS-C) is a life-threatening complication of COVID-19 infection. Data on midterm outcomes are limited. Objective: To characterize the frequency and time course of cardiac dysfunction (left ventricular ejection fraction [LVEF] <55%), coronary artery aneurysms (z score ≥2.5), and noncardiac involvement through 6 months after MIS-C. Design, Setting, and Participants: This cohort study enrolled participants between March 2020 and January 2022 with a follow-up period of 2 years. Participants were recruited from 32 North American pediatric hospitals, and all participants met the 2020 Centers for Disease Control and Prevention case definition of MIS-C. Exposure: MIS-C after COVID-19 infection. Main Outcomes and Measures: Outcomes included echocardiography core laboratory (ECL) assessments of LVEF and maximum coronary artery z scores (zMax); data collection on cardiac and noncardiac sequelae during hospitalization and at 2 weeks, 6 weeks, and 6 months after discharge; and age-appropriate Patient-Reported Outcomes Measurement Information Systems (PROMIS) Global Health Instruments at follow-up. Descriptive statistics, linear regression models, and Kaplan-Meier analysis were used. Results: Of 1204 participants (median [IQR] age, 9.1 [5.6-12.7] years; 724 male [60.1%]), 325 self-identified with non-Hispanic Black race (27.0%) and 324 with Hispanic ethnicity (26.9%). A total of 548 of 1195 participants (45.9%) required vasoactive support, 17 of 1195 (1.4%) required extracorporeal membrane oxygenation, and 3 (0.3%) died during hospitalization. Of participants with echocardiograms reviewed by the ECL (n = 349 due to budget constraints), 131 of 322 (42.3%) had LVEF less than 55% during hospitalization; of those with follow-up, all but 1 normalized by 6 months. Black race (vs other/unknown race), higher C-reactive protein level, and abnormal troponin level were associated with lowest LVEF (estimate [SE], -3.09 [0.98]; R2 = 0.14; P =.002). Fifteen participants had coronary artery z scores of 2.5 or greater at any time point; 1 participant had a large/giant aneurysm. Of the 13 participants with z scores of 2.5 or greater during hospitalization, 12 (92.3%) had normalized by 6 months. Return to greater than 90% of pre-MIS-C health status (energy, sleep, appetite, cognition, and mood) was reported by 711 of 824 participants (86.3%) at 2 weeks, increasing to 548 of 576 (95.1%) at 6 months. Fatigue was the most common symptom reported at 2 weeks (141 of 889 [15.9%]), falling to 3.4% (22 of 638) by 6 months. PROMIS Global Health parent/guardian proxy median T scores for fatigue, global health, and pain interference improved significantly from 2 weeks to 6 months (fatigue, 56.1 vs 48.9; global health, 48.8 vs 51.3; pain interference, 53.0 vs 43.3; P < .001) and by the 6-week visit were at least equivalent to prepandemic population norms. Conclusions and Relevance: Results of this cohort study suggest that although children and young adults with MIS-C can have severe disease during the acute phase, most recovered quickly and had a reassuring midterm prognosis.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
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 enseignants0,061
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
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 Opus0,013
Tête enseignante GPT0,276
Écart entre enseignants0,262 · 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.

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

Citations19
Publié2025
Routes d'admission1
Résumé présentoui

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