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Record W4225843829 · doi:10.1161/strokeaha.121.038250

International Prevalence and Mechanisms of SARS-CoV-2 in Childhood Arterial Ischemic Stroke During the COVID-19 Pandemic

2022· article· en· W4225843829 on OpenAlexaff
Lauren A. Beslow, Shannon C. Agner, Jonathan D. Santoro, Dipak Ram, Jenny L. Wilson, Dana Harrar, Brian Appavu, Stuart Fraser, Thomas Rossor, Marcela Torres, Manoëlle Kossorotoff, Yenny C. Zuñiga Zambrano, Marta Hernández, Sahar M. A. Hassanein, Dimitrios Zafeiriou, Michael M. Dowling, Ilona Kopyta, Nicholas Stence, Timothy J. Bernard, Nomazulu Dlamini, Ahmed Abd El-Hamid Rihan, Maha Mohammed, Moustafa Farid, Wessam S.S. Guergues, Mohamed O E Babiker, Oded Hochberg, Paola Saracco, Thomas Main, Andrew A. Mallick, Selina Kala, Bryan Philbrook, Kartik Reddy, Rebecca Ichord, Evelyn K. Shih, Rachel Pearson, Mubeen F. Rafay, Mukta Sharma, Mary Allen Staat, Sudhakar Vadivelu, Marvid Duarte, M. Suzanne Whitworth, Manish Parakh, Kevin Meesters, Charles-Joris Roud, Marianne Leruez- Ville, Vijeya Ganesan, Laura L. Lehman, Michael Rivkin, Zulma Hernandez, F. Balut, María Celeste Buompadre, Heidy Johanna Gómez Naranjo, Veronica Gonzalez Alvarez, Nihal Bakeer, Stephanie Garrison, Christopher Belcher, Lorie Miller, Maria Whitmore, Giulia Amico, Mariasavina Severino, Marta Bertamino, Sara Signa, Lisa R. Sun, Ryan J. Felling, Pawan Kashyape, Lucia Gerstl, Gordana Kovačević, Anna Basu, Yusri Taha, Warren Lo, Maggie L.Y. Yau, Deirdre Peake, Kim Stevenson, Samson Gwer, Andrea Andrade, Catherine Amlie- Lefond, Jacqueline Lee‐Eng, Sarah Lee, Janette Mailo, Moran Hausman Kedem, Kamna Jaiswal, Kellie R. Brown, Belinda Stojanovski, Mark T. Mackay, Adriana Carolina Vargas Nino, Daune McGregor, Gabrielle deVeber, Ishvinder Bhathal, NP Liza Pulcine, Mahendra Moharir, Bruce Björnson, Danny H. C. Kim, Adam Kirton, Amalia Floer, Christine K. Fox, Christiana Smith- Anderson, Kelly Wilt, Vivian P. Thompson, Michael Chang, Marilyn A. Tan, Lori C. Jordan, Annette Grefe, Kristin P. Guilliams, Michael J. Noetzel

Bibliographic record

VenueStroke · 2022
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsInstitute for Clinical Evaluative SciencesHospital for Sick Children
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Neurological Disorders and Stroke
KeywordsMedicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicStroke (engine)Coronavirus disease 2019 (COVID-19)Pediatric strokePediatrics2019-20 coronavirus outbreakCohortEmergency medicineInternal medicineIschemic strokeDiseaseIschemiaVirologyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Background: Data from the early pandemic revealed that 0.62% of children hospitalized with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) had an acute arterial ischemic stroke (AIS). In a larger cohort from June 2020 to December 2020, we sought to determine whether our initial point estimate was stable as the pandemic continued and to understand radiographic and laboratory data that may clarify mechanisms of pediatric AIS in the setting of SARS-CoV-2. Methods: We surveyed international sites with pediatric stroke expertise to determine numbers of hospitalized SARS-CoV-2 patients <18 years, numbers of incident AIS cases among children (29 days to <18 years), frequency of SARS-CoV-2 testing for children with AIS, and numbers of childhood AIS cases positive for SARS-CoV-2 June 1 to December 31, 2020. Two stroke neurologists with 1 neuroradiologist determined whether SARS-CoV-2 was the main stroke risk factor, contributory, or incidental. Results: Sixty-one centers from 21 countries provided AIS data. Forty-eight centers (78.7%) provided SARS-CoV-2 hospitalization data. SARS-CoV-2 testing was performed in 335/373 acute AIS cases (89.8%) compared with 99/166 (59.6%) in March to May 2020, P <0.0001. Twenty-three of 335 AIS cases tested (6.9%) were positive for SARS-CoV-2 compared with 6/99 tested (6.1%) in March to May 2020, P =0.78. Of the 22 of 23 AIS cases with SARS-CoV-2 in whom we could collect additional data, SARS-CoV-2 was the main stroke risk factor in 6 (3 with arteritis/vasculitis, 3 with focal cerebral arteriopathy), a contributory factor in 13, and incidental in 3. Elevated inflammatory markers were common, occurring in 17 (77.3%). From centers with SARS-CoV-2 hospitalization data, of 7231 pediatric patients hospitalized with SARS-CoV-2, 23 had AIS (0.32%) compared with 6/971 (0.62%) from March to May 2020, P =0.14. Conclusions: The risk of AIS among children hospitalized with SARS-CoV-2 appeared stable compared with our earlier estimate. Among children in whom SARS-CoV-2 was considered the main stroke risk factor, inflammatory arteriopathies were the stroke mechanism.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.300
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), 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

Citations25
Published2022
Admission routes1
Has abstractyes

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