دورية أكاديمية
Analysis of factors associated with admission to the intensive care unit of children and adolescents with COVID-19: application of a multilevel model.
| العنوان: | Analysis of factors associated with admission to the intensive care unit of children and adolescents with COVID-19: application of a multilevel model. |
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| المؤلفون: | Damascena LCL; Postgraduate Program in Decision Models and Health, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba - João Pessoa (PB), Brazil., Faria ARQP; Postgraduate Program in Decision Models and Health, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba - João Pessoa (PB), Brazil., Lucena NNN; Postgraduate Program in Decision Models and Health, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba - João Pessoa (PB), Brazil., Silva AHAE; Postgraduate Program in Decision Models and Health, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba - João Pessoa (PB), Brazil., Almeida TTA; Secretaria de Saúde do Estado da Paraíba - João Pessoa (PB), Brazil., Pinto DFA; Secretaria de Saúde do Estado da Paraíba - João Pessoa (PB), Brazil., Coêlho HFC; Postgraduate Program in Decision Models and Health, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba - João Pessoa (PB), Brazil., Valença AMG; Postgraduate Program in Decision Models and Health, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba - João Pessoa (PB), Brazil. |
| المصدر: | Critical care science [Crit Care Sci] 2024 Jul 19; Vol. 36, pp. e20240068en. Date of Electronic Publication: 2024 Jul 19 (Print Publication: 2024). |
| نوع المنشور: | Journal Article |
| اللغة: | English; Portuguese |
| بيانات الدورية: | Publisher: Associação de Medicina Intensiva Brasileira Country of Publication: Brazil NLM ID: 9918627781706676 Publication Model: eCollection Cited Medium: Internet ISSN: 2965-2774 (Electronic) Linking ISSN: 29652774 NLM ISO Abbreviation: Crit Care Sci Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: São Paulo, SP, Brazil : Associação de Medicina Intensiva Brasileira, [2023]- |
| مواضيع طبية MeSH: | COVID-19*/epidemiology , Intensive Care Units*/statistics & numerical data, Humans ; Adolescent ; Male ; Child ; Retrospective Studies ; Female ; Child, Preschool ; Infant ; Multilevel Analysis ; Infant, Newborn ; Hospitalization/statistics & numerical data ; SARS-CoV-2 ; Risk Factors ; Age Factors ; Logistic Models ; Sex Factors |
| مستخلص: | Objective: To identify factors associated with hospitalization in the intensive care unit in children and adolescents with COVID-19. Methods: This was a retrospective cohort study using secondary data of hospitalized children and adolescents (zero to 18 years old) with COVID-19 reported in Paraíba from April 2020 to July 2021, totaling 486 records. Descriptive analysis, logistic regression and multilevel regression were performed, utilizing a significance level of 5%. Results: According to logistic regression without hierarchical levels, there was an increased chance of admission to the intensive care unit for male patients (OR = 1.98; 95%CI 1.18 - 3.32), patients with respiratory distress (OR = 2.43; 95%CI 1.29 - 4.56), patients with dyspnea (OR = 3.57; 95%CI 1.77 - 7.18) and patients living in large cities (OR = 2.70; 95%CI 1.07 - 6.77). The likelihood of requiring intensive care was observed to decrease with increasing age (OR = 0.94; 95%CI = 0.90 - 0.97), the presence of cough (OR = 0.32; 95%CI 0.18 - 0.59) or fever (OR = 0.42; 95%CI 0.23 - 0.74) and increasing Gini index (OR = 0.003; 95%CI 0.000 - 0.243). According to the multilevel analysis, the odds of admission to the intensive care unit increased in male patients (OR = 1.70; 95%CI = 1.68-1.71) and with increasing population size of the municipality per 100,000 inhabitants (OR = 1.01; 95%CI 1.01-1.03); additionally, the odds of admission to the intensive care unit decreased for mixed-race versus non-brown-skinned patients (OR = 0.981; 95%CI 0.97 - 0.99) and increasing Gini index (OR = 0.02; 95%CI 0.02 - 0.02). Conclusion: The effects of patient characteristics and social context on the need for intensive care in children and adolescents with SARS-CoV-2 infection were better estimated with the inclusion of a multilevel regression model. |
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| تواريخ الأحداث: | Date Created: 20240724 Date Completed: 20240724 Latest Revision: 20240727 |
| رمز التحديث: | 20240727 |
| مُعرف محوري في PubMed: | PMC11239204 |
| DOI: | 10.62675/2965-2774.20240068-en |
| PMID: | 39046060 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 2965-2774 |
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| DOI: | 10.62675/2965-2774.20240068-en |