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Relationship between sociodemographic, clinical, and laboratory characteristics and severity of COVID-19 in pediatric patients.
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- معلومة اضافية
- Corporate Authors:
- المصدر:
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
- بيانات النشر:
Original Publication: San Francisco, CA : Public Library of Science
- الموضوع:
- نبذة مختصرة :
Competing Interests: The authors have declared that no competing interests exist.
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.
(Copyright: © 2024 Roca et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- الموضوع:
Date Created: 20240507 Date Completed: 20240507 Latest Revision: 20240607
- الموضوع:
20250114
- الرقم المعرف:
PMC11075884
- الرقم المعرف:
10.1371/journal.pone.0283037
- الرقم المعرف:
38713667
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