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

2025· letter· en· W4406308349 on 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

Bibliographic record

VenueJAMA Pediatrics · 2025
Typeletter
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersNational Institute of General Medical Sciences
KeywordsMedicineEjection fractionCoronary artery diseaseExtracorporeal membrane oxygenationCohortInternal medicinePediatricsCardiologyHeart failure

Abstract

fetched live from 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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
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 head0.013
GPT teacher head0.276
Teacher spread0.262 · 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.

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

Citations19
Published2025
Admission routes1
Has abstractyes

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