Background: Evidence from across the world suggests that the pediatric population shows different clinical manifestations and has a lower risk of severe presentation of SARS-CoV-2 infection compared to adults. However, Mexico has one of the highest mortality rates in the pediatric population due to SARS-CoV-2 infection. Therefore, our objective was to explore the epidemiological and clinical characteristics associated with a positive confirmatory test in the Mexican pediatric population admitted to a tertiary care hospital in Mexico City.
Methods: Clinical, imaging and laboratory data were retrospectively collected from 121 children hospitalized during the period from March 4, 2020, to August 8, 2021. The patients were identified as suspicious cases according to the guidelines of the General Directorate of Epidemiology of Mexico. Real-time polymerase chain reaction (RT-PCR) tests were used to confirm SARS-CoV-2 infection. Categorical variables were compared using the Chi-square test, and propensity score matching was performed to determine univariate and multivariate odds ratios of the population regarding a positive vs. negative SARS-CoV-2 result.
Results: Of the 121 children, 36 had laboratory-confirmed SARS-CoV-2 infection. The main risk for SARS-CoV-2-associated pediatric hospitalization was contact with a family member with SARS-CoV-2. It was also found that fever and fatigue were statistically significantly associated with a positive SARS-CoV-2 test in multivariate models. Clinical and laboratory data in this Mexican hospitalized pediatric cohort differ from other reports worldwide; the mortality rate (1.6%) of the population studied was higher than that seen in reports from other countries.
Conclusion: Our study found that fever and fatigue at hospital presentation as well as an antecedent exposure to a family member with SARS-CoV-2 infection were important risk factors for SARS-CoV-2 positivity in children at hospital admission.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039778 | PMC |
| http://dx.doi.org/10.1155/2022/6780575 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications.
J Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
View Article and Find Full Text PDFOngoing post-COVID-19 symptoms and complaints among healthcare professionals.
J Infect Dev Ctries
December 2024
Family Medicine, Merkezefendi District Health Directorate, Denizli, Turkey.
Introduction: Post-COVID-19 syndrome refers to the occurrence of symptoms lasting more than 4 weeks in individuals who have recovered from COVID-19. This study aims to investigate the post-COVID-19 symptoms in healthcare professionals.
Methodology: This descriptive study included 166 healthcare professionals who had tested positive for COVID-19 via PCR at least four weeks prior and subsequently presented to the Family Medicine Clinic at Pamukkale University Training and Research Hospital.
Background: Previous studies on public compliance with policies during pandemics have primarily explained it from the perspectives of motivation theory, focusing on normative motivation (trust in policy-making institutions) and calculative motivation (fear of contracting the disease). However, the social amplification of a risk framework highlights that the media plays a key role in this process.
Objective: This study aims to integrate the motivation theory of compliance behavior and the social amplification of risk framework to uncover the "black boxes" of the mechanisms by which normative motivation and calculative motivation influence public policy compliance behavior through the use of media.
Digital Health Intervention (SANGYAN Podcast) to Enhance Knowledge Related to COVID-19 and Other Health Conditions: Protocol for an Implementation and Evaluation Study.
JMIR Res Protoc
January 2025
Foundation of Healthcare Technologies Society, New Delhi, India.
Background: Podcasts are an unconventional method of disseminating information through audio to the masses. They are an emerging portable technology and a valuable resource that provides unlimited access for promoting health among participants. Podcasts related to health care have been used as a source of medical education, but there is a dearth of studies on the use of podcasts as a source of health information.
View Article and Find Full Text PDFAnalysis of COVID-19 patient outcomes with molnupiravir treatment and the role of risk factors: a single-centre retrospective descriptive study.
Cent Eur J Public Health
December 2024
Department of Public Health and Hygiene, Faculty of Medicine, Pavol Jozef Safarik University in Kosice, Kosice, Slovak Republic.
Objective: This study aims to describe the outcomes of COVID-19 patients treated with molnupiravir and to explore the associations with various risk factors.
Methods: We conducted a single-centre, descriptive, retrospective study without a comparison group.
Results: Out of 141 patients, 70 (49.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!