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COVID-19 pandemic in children of Сhernivtsi region: clinical features and annual treatment experience

2021· article· en· W3177349062 on OpenAlexaboutno aff
Т.М. Bilous, N.V. Gopko, M.B. Myroniuk

Bibliographic record

VenueCHILD`S HEALTH · 2021
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePandemicCoronavirus disease 2019 (COVID-19)Retrospective cohort studyQuarter (Canadian coin)PediatricsPopulationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CohortDiseaseInfectious disease (medical specialty)Internal medicine

Abstract

fetched live from OpenAlex

Background. The pandemic of coronavirus disease (COVID-19) has been going on for more than a year and is a problem for the health care system worldwide. At the same time, there are few studies on the peculiarities of COVID-19 in children, in particular how clinical symptoms have changed during the year with the change of types of coronavirus SARS-CoV-2. Objective was to conduct a retrospective generalized analysis of the clinical course, laboratory markers and features of treatment in pediatric cases of COVID-19 in Chernivtsi region. Materials and methods. Using the retrospective cohort method, 263 clinical cases of COVID-19 in children of the Chernivtsi region hospitalized for the period of March 2020 — March 2021 were analyzed. Results. In this work, a dynamic analysis was performed of the clinical features of COVID-19 course in the population of children of Chernivtsi region, who were hospitalized during March 2020 — March 2021 at inpatient departments with signs of infection caused by SARS-CoV-2. The first group included 65 patients who were treated in the second quarter of 2020, the second group consisted of 90 children who underwent inpatient treatment in the third quarter of 2020, the third group included 87 children who were treated in the fourth quarter of 2020, and the fourth group consisted of 21 children who underwent inpatient treatment in the first quarter of 2021. It was found that the frequency of complaints of malaise was due to infectious-inflammatory, intoxication and catarrhal symptom complexes, although in contrast to the onset of the pandemic, the complaints and signs of intoxication and asthenic syndromes, infectious-inflammatory syndromes, nonspecific neurological symptoms increased with a relatively stable rate of lesions of the upper respiratory tract. In the first quarter of 2021, there was an increase in cases of multisystem inflammatory syndrome (odds ratio = 6.5) and community-acquired pneumonia (odds ratio = 2.7). Conclusions. A dynamic analysis of the course of COVID-19 in children has demonstrated phenotypic deviations of the disease with torpidity to the prescribed treatment for nonspecific symptoms of disorders of the nervous system and gastrointestinal tract with a decrease in duration and severity of fever, increased incidence of pneumonia (odds ratio = 2.7) and multisystem inflammatory syndrome (odds ratio = 6.5).

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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.418
Teacher spread0.374 · 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.

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

Citations2
Published2021
Admission routes1
Has abstractyes

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