Evidence map›Paper›PMID 42454800›Full record

Observational studyMemorias do Instituto Oswaldo Cruz2026

Severity of COVID-19 in hospitalised children in Espírito Santo, Brazil: a comparative analysis of pre- and post-Omicron periods.

Brena Ramos Athaydes, Mariane Vedovatti Monfardini, Juliana Santa Ardisson, Gabriela Ferreira Nunes, Rafaela Altoé de Lima, Sabrina Cavalcanti de Barros Fonseca, Rodrigo Pimentel Schade, Teodiano Freire Bastos-Filho, Edson Delatorre, Liliana Cruz Spano and 1 more

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in Memorias do Instituto Oswaldo Cruz, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Brena Ramos AthaydesUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Biotecnologia, ES, Brasil.ORCID http://orcid.org/0000-0002-8954-771X
Mariane Vedovatti MonfardiniUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Biotecnologia, ES, Brasil.
Juliana Santa ArdissonUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Biotecnologia, ES, Brasil.
Gabriela Ferreira NunesUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Doenças Infecciosas, ES, Brasil.
Rafaela Altoé de LimaHospital Infantil Nossa Senhora da Glória, Vitória, ES, Brasil.
Sabrina Cavalcanti de Barros FonsecaHospital Infantil Nossa Senhora da Glória, Vitória, ES, Brasil.
Rodrigo Pimentel SchadeHospital da Polícia Militar do Estado do Espírito Santo, Vitória, ES, Brasil.
Teodiano Freire Bastos-FilhoUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Biotecnologia, ES, Brasil.
Edson DelatorreUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Doenças Infecciosas, ES, Brasil.
Liliana Cruz SpanoUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Doenças Infecciosas, ES, Brasil.
Sandra Ventorin von ZeidlerUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Biotecnologia, ES, Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildren experience Coronavirus disease 2019 (COVID-19) often with milder symptoms but severe outcomes.

objectivesTo compare clinical, epidemiological and viral load profiles of hospitalised paediatric COVID-19 cases before and after the emergence of the Omicron variant in Espírito Santo, Brazil, and to explore factors associated with hospitalisation duration.

methodsThis cross-sectional observational study included 54 hospitalised children with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, grouped according to epidemiological period: G1 (2020-2021) and G2 (2022). Viral load was quantified by reverse transcription real-time polymerase chain reaction (RT-qPCR), and whole-genome sequencing was performed using Nanopore technology. Group comparisons used chi-square/Fisher's exact tests and Mann-Whitney U tests. Cox regression was applied in an exploratory manner to identify factors associated with hospitalisation duration.

findingsThe median age was 19.5 months and 68.5% were male. Comorbidities were present in 65% of the cohort, with no significant differences between groups. Children in G1 were more often hospitalised for respiratory syndromes, while G2 had a longer intensive care unit (ICU) stay. More than half of the patients required oxygen support, and those needing oxygen at admission were younger. Viral load was higher in G1 than in G2. In the multivariable Cox model, comorbidities [aHR = 0.47; 95% confidence interval (CI): 0.26-0.86] and male sex (aHR = 0.47; 95% CI: 0.25-0.89) were associated with prolonged hospitalisation. Sequencing identified five SARS-CoV-2 lineages (P.1., B.1.1., BA.1*, BQ.1.1, and BE.9), reflecting the transition from pre-Omicron to Omicron periods. MAIN

conclusionsThe pre-Omicron period was marked by higher viral loads and distinct clinical patterns compared with the Omicron period. Comorbidities and male sex were associated with prolonged hospitalisation. These findings should be interpreted as exploratory and hypothesis-generating given the limited cohort size.

Indexed as

COVID-19HospitalizationSARS-CoV-2BrazilChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantLength of StayMaleSeverity of Illness IndexViral Load

Identifiers

PMID42454800
PMCPMC13363245

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.