Evidence map›Paper›PMID 39744633›Full record

ArticleFrontiers in immunology2024

SARS-CoV-2 strains and clinical profiles of COVID-19 patients in a Southern Brazil hospital.

Bibiana S de Oliveira Fam, Nathan Araujo Cadore, Renan Sbruzzi, Marilea Furtado Feira, Giovanna Câmara Giudicelli, Luiz G P de Almeida, Alexandra L Gerber, Ana Paula de C Guimarães, Ana Tereza Ribeiro Vasconcelos, Alexandre C Pereira and 4 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Bibiana S de Oliveira FamLaboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.
Nathan Araujo CadoreLaboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.
Renan SbruzziLaboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.
Marilea Furtado FeiraLaboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.
Giovanna Câmara GiudicelliBioinformatics Core, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.
Luiz G P de AlmeidaBioinformatics Laboratory, National Laboratory of Scientific Computation, LNCC, Petrópolis, Rio de Janeiro, Brazil.
Alexandra L GerberBioinformatics Laboratory, National Laboratory of Scientific Computation, LNCC, Petrópolis, Rio de Janeiro, Brazil.
Ana Paula de C GuimarãesBioinformatics Laboratory, National Laboratory of Scientific Computation, LNCC, Petrópolis, Rio de Janeiro, Brazil.
Ana Tereza Ribeiro VasconcelosBioinformatics Laboratory, National Laboratory of Scientific Computation, LNCC, Petrópolis, Rio de Janeiro, Brazil.
Alexandre C PereiraBioinformatics Laboratory, National Laboratory of Scientific Computation, LNCC, Petrópolis, Rio de Janeiro, Brazil.
Lygia V PereiraDepartment of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil.
Tábita HünemeierDepartment of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil.
Suzi Alves CameyStatistics Department, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Fernanda S Luiz ViannaLaboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic had a widespread global impact and presented numerous challenges. The emergence of SARS-CoV-2 variants has changed transmission rates and immune evasion, possibly impacting the severity. This study aims to investigate the impact of variants on clinical outcomes in southern Brazil. Methods: In total, samples from 277 patients, hospitalized and non-hospitalized, were collected between March 2020 and March 2021, before the vaccine was made widely available to the general population in Brazil. Whole genome sequencing of SARS-CoV-2 was performed and bioinformatics and biostatistics analyses were implemented on molecular and clinical data, respectively. Results: The study identified significant demographic and clinical differences. The hospitalized group exhibited a higher proportion of males (51.9%) and an increased prevalence of comorbidities, including hypertension (66.0%), obesity (42.6%), and chronic kidney disease (23.6%). Patients were identified with twelve SARS-CoV-2 strains, predominantly B.1.1.28 and B.1.1.33 in the early 2020 first wave, and P.1 overlapping in the late 2020 and early 2021 second wave of COVID-19. Significant differences in hospitalization rates were found among patients infected with the different SARS-CoV-2 lineages: B.1.1.33 (46.0%), B.1.1.28 (65.9%), and P.1 (97.9%). Severity markers, such as pneumonia (62.5%, p=0.002), acute respiratory distress syndrome (ARDS, 72.9%, p<0.001), and oxygen support >6 L/min O Conclusions: The study underscores the association between SARS-CoV-2 strains and COVID-19 severity by integrating clinical and viral data for public health responses during different pandemic phases, highlighting the importance of adapting pandemic strategies as the pandemic evolves.

Indexed as

COVID-19HospitalizationSARS-CoV-2AdultAgedBrazilComorbidityFemaleHumansMaleMiddle AgedSeverity of Illness IndexWhole Genome SequencingBrazilian populationclinical outcomesCoronavirus diseaseCoronavirus strainshealthcare

Identifiers

PMID39744633
PMCPMC11688617

What OpenQuestion holds

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LicenceCC BY
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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.