Evidence map›Paper›PMID 38713667›Full record

ArticlePloS one2024

Relationship between sociodemographic, clinical, and laboratory characteristics and severity of COVID-19 in pediatric patients.

Cristian Roca, Adriana Asturizaga, Nelson Villca, Ramiro Cabrera, Raul Copana-Olmos, Vladimir Aguilera-Avendano, Claudia Estrada-Villarroel, Mariel Andrea Forest-Yepez, Marcia Torrez-Santos, Adela Felipa Magne-Calle and 9 more

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2024. 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

19 authors.

Cristian RocaDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.ORCID 0000-0003-2522-0360
Adriana AsturizagaPediatric Pneumology Department, Caja de Salud de la Banca Privada, La Paz, Bolivia.
Nelson VillcaPediatric Pneumology Department, HODE Materno Infantil Hospital CNS, La Paz, Bolivia.
Ramiro CabreraPediatric Pneumology Department, Mario Ortiz Children's Hospital, Santa Cruz, Bolivia.
Raul Copana-OlmosCovid19 Intensive Care Unit, Manuel A. Villarroel Children's Hospital, Cochabamba, Bolivia.ORCID 0000-0002-3084-7611
Vladimir Aguilera-AvendanoPediatric Infectology Department, Ovidio Aliaga Uria Children's Hospital, La Paz, Bolivia.
Claudia Estrada-VillarroelPediatric Infectology Department, Ovidio Aliaga Uria Children's Hospital, La Paz, Bolivia.
Mariel Andrea Forest-YepezPediatric Intensive Care Unit, Materno Infantil Hospital CNS, La Paz, Bolivia.ORCID 0000-0001-9000-3990
Marcia Torrez-SantosPediatric Department, North Hospital, El Alto, La Paz, Bolivia.
Adela Felipa Magne-CallePediatric Department, North Hospital, El Alto, La Paz, Bolivia.
Maria Ofelia Foronda-RiosEducation and Research Department, Reidun Roine Materno Infantile Hospital, Riberalta, Bolivia.
Liz Malena Pena-HelgueroEducation and Research Department, Reidun Roine Materno Infantile Hospital, Riberalta, Bolivia.
Monica MontalvoPediatric Pneumology Department, Mario Ortiz Children's Hospital, Santa Cruz, Bolivia.
Delina TorrezPediatric Intensive Care Department, Materno Infantil Hospital CNS, Santa Cruz, Bolivia.
Mirna TocoDepartment of Pediatrics, Hospital Cooperación Corea, Oruro, Bolivia.
Miguel CespedesPediatric Department, Bolivian Japanese Hospital Materno Infantil, Trinidad, Beni, Bolivia.
Ingrid DavalosPediatric Intensive Care Department, North Hospital, El Alto, La Paz, Bolivia.
Natalie M BowmanDivision of Infectious Diseases, Department of Medicine, University of North Carolina, Chapel Hill, NC, United States of America.
COVID19 Research Group in Bolivia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 affects children less seriously than adults; however, severe cases and deaths are documented. This study objective is to determine socio-demographic, clinical and laboratory indicators associated with severe pediatric COVID-19 and mortality at hospital entrance. A multicenter, retrospective, cross-sectional study was performed in 13 tertiary hospitals in Bolivia. Clinical records were collected retrospectively from patients less than 18 years of age and positive for SARS-CoV-2 infection. All variables were measured at hospital entrance; outcomes of interest were ICU admission and death. A score for disease severity was developed using a logistic regression model. 209 patients were included in the analysis. By the end of the study, 43 (20.6%) of children were admitted to the Intensive care unit (ICU), and 17 (8.1%) died. Five indicators were independently predictive of COVID-19 severity: age below 10 years OR: 3.3 (CI95%: 1.1-10.4), days with symptoms to medical care OR: 2.8 (CI95%: 1.2-6.5), breathing difficulty OR: 3.4 (CI95%: 1.4-8.2), vomiting OR: 3.3 (CI95%: 1.4-7.4), cutaneous lesions OR: 5.6 (CI95%: 1.9-16.6). Presence of three or more of these risk factors at hospital entrance predicted severe disease in COVID-19 positive children. Age, presence of underlying illness, male sex, breathing difficulty, and dehydration were predictive of death in COVID-19 children. Our study identifies several predictors of severe pediatric COVID-19 and death. Incorporating these predictors, we developed a tool that clinicians can use to identify children at high risk of severe COVID-19 in limited-resource settings.

Indexed as

COVID-19SARS-CoV-2Severity of Illness IndexAdolescentBoliviaChildChild, PreschoolCross-Sectional StudiesFemaleHospitalizationHumansInfantIntensive Care UnitsMaleRetrospective StudiesRisk Factors

Identifiers

PMID38713667
PMCPMC11075884

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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.