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Record W3136804259 · doi:10.1097/cce.0000000000000362

Characteristics of Severe Acute Respiratory Syndrome Coronavirus-2 Infection and Comparison With Influenza in Children Admitted to U.K. PICUs

2021· article· en· W3136804259 on OpenAlexfundno aff
Hari Krishnan Kanthimathinathan, Hannah Buckley, Caroline Lamming, Peter J. Davis, Padmanabhan Ramnarayan, Richard Feltbower, Elizabeth S. Draper

Bibliographic record

VenueCritical Care Explorations · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsnot available
FundersHospital for Sick ChildrenHCA HealthcareAcademy of Medical Royal CollegesNHS Health Scotland
KeywordsMedicineCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Respiratory systemCoronavirusIntensive care medicine2019-20 coronavirus outbreakBetacoronavirusVirologyEmergency medicinePediatricsInternal medicineOutbreakDisease

Abstract

fetched live from OpenAlex

Objectives: Severe acute respiratory syndrome coronavirus-2 affects adults disproportionately more than children. A small proportion of children with severe acute respiratory syndrome coronavirus-2 required admission to a PICU. We describe the nationwide U.K. PICU experience of severe acute respiratory syndrome coronavirus-2 infection during the first wave of the pandemic and compare this with the critical care course of the 2019 influenza cohort. Design: Prospective nationwide cohort study of characteristics of severe acute respiratory syndrome coronavirus-2–positive children. Data collection utilized routine Pediatric Intensive Care Audit Network and severe acute respiratory syndrome coronavirus-2–specific data. Setting: All U.K. PICUs. Patients: Children less than 18 years old, admitted to U.K. PICUs between March 14, 2020, and June 13, 2020, and a positive severe acute respiratory syndrome coronavirus-2 polymerase chain reaction. Children admitted to U.K. PICUs in 2019 with influenza provided comparison. Interventions: None. Measurements and Main Results: We identified 76 PICU admissions among 73 children with a positive severe acute respiratory syndrome coronavirus-2 polymerase chain reaction test. Prevalence of PICU admissions per million was 5.2 for children versus 260 for adults. Ten children (14%) were identified on routine screening. Seventeen children (23%) had pediatric inflammatory multisystem syndrome temporally associated with severe acute respiratory syndrome coronavirus-2. Seventeen (23%) had coinfections. Invasive ventilation was required in seven of 17 children (41%) with pediatric inflammatory multisystem syndrome temporally associated with severe acute respiratory syndrome coronavirus-2 versus 38 of 56 other severe acute respiratory syndrome coronavirus-2 positive children (68%), with 77% requiring vasoactive support versus 43%, respectively. Seven children (10%) died. In comparison with influenza children, severe acute respiratory syndrome coronavirus-2 children were older (median [interquartile range]: 10 [1–13] vs 3 yr [1–8 yr]), more often Black or Asian (52% v 18%), higher weight z score (0.29 [–0.80 to 1.62] vs –0.41 [–1.37 to 0.63]), and higher deprivation index (3.3 [–1 to 6.3] vs 1.2 [–1.8 to 4.4]). Comorbidities, frequency of organ supports, and length of stay were similar. Conclusions: This nationwide study confirms that PICU admissions with severe acute respiratory syndrome coronavirus-2 infections were infrequent. We have reported similarities and differences in sociodemographic characteristics, organ support interventions, and outcomes of children affected by severe acute respiratory syndrome coronavirus-2 compared with influenza.

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)0.003
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.097
GPT teacher head0.452
Teacher spread0.354 · 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

Citations15
Published2021
Admission routes1
Has abstractyes

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