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Record W4404924628 · doi:10.1542/peds.2024-069114ob

Post–COVID-19 Condition in Children

2024· article· en· W4404924628 on OpenAlexaboutno aff
Brit Trogen, Julie Wang

Bibliographic record

VenuePEDIATRICS · 2024
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)BetacoronavirusCoronavirus InfectionsPandemicVirologyIntensive care medicinePediatricsInternal medicineOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

To examine the incidence of post coronavirus disease 2019 (COVID-19) condition (PCC or long COVID) in a cohort of children using a population-based sample that was recruited before severe acute respiratory syndrome coronavirus disease 2 (SARS-CoV-2) infection.There were 1026 children recruited from the community in Alberta, Canada from August 2020 to March 2021. Participants were 8 to 13 years of age, with a mean age of 10.5 (SD 2.1 year), and were equally divided between male and female participants. Approximately two thirds reported living in an urban location compared with one third reporting rural housing. Pre-existing or current comorbidities included allergies (35.7%), anxiety (20.5%), asthma (17.0%), and attention deficit disorder (10.3%). Children with known COVID-19 before study recruitment were excluded.Parents prospectively reported their child’s symptoms every 2 weeks throughout the study duration (76 weeks), as well as any positive SARS-CoV-2 PCR test results. PCC was defined as new symptoms starting within 3 months of positive SARS-CoV-2 PCR test and persisting for a minimum of 8 weeks. Symptoms were considered resolved if a minimum of 4 weeks (including nonconsecutive weeks) were symptom-free.After exclusions, only 1 child met criteria for PCC; this child reported resolution of symptoms after 14 weeks postinfection. Over half (n = 572) of those recruited did not report a positive PCR test within the study time frame. Of those who did have a positive test, 224 reported between 2 and 6 weeks of symptoms after COVID-19, and 30 had no symptoms 0 to 2 weeks after COVID-19. There were 150 lost to follow-up (reported <8 weeks of data after COVID-19). The most common symptoms reported following COVID-19 infection were rhinitis (62%), sore throat (68%), headache (52%), cough (42%), fever (41%), and fatigue (35%). Presence of any of these symptoms before COVID-19 were associated with longer duration of symptoms after infection. No current or past medical conditions were associated with symptom persistence after infection.There was a very low incidence of PCC in this cohort (0.4%). The majority of children reporting a positive SARS-CoV-2 polymerase chain reaction had resolution of post-COVID symptoms within 6 weeks. Presence of comorbid asthma, allergies, anxiety, and attention deficit disorder were not associated with increased incidence of PCC.Much remains unknown about the risk of long COVID in children infected with SARS-CoV-2. Using parent-proxy symptom reporting, this study reports a very low incidence of PCC in a cohort of Canadian children ages 8 to 13. There was no increased risk of PCC associated with pre-existing or comorbid conditions, including asthma and anxiety. Presence of symptoms like cough and fatigue before SARS-CoV-2 infection was associated with longer duration of these same symptoms postinfection. Although limited because of parent reporting and lack of more objective measures (eg, serology to assess potential SARS-CoV-2 infection before enrollment), this study suggests that PCC in children is rare, and that most children fully recover from infection within 6 weeks of infection.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.078
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.418
Teacher spread0.384 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2024
Admission routes1
Has abstractyes

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