On January 2020, WHO confirmed the epidemic outbreak of SARS-CoV-2 as a Health Emergency of International Concern. The aim of this meta-meta-analysis is quantifying meta-analytic findings on the association of cardiovascular disease (CVD) comorbidities and COVID-19 severity. Findings suggest that chances of getting severe COVID-19 disease in patients with CVD is greater than those without CVD. Also, prevalence of CVD in patents with COVID-19 is 0.08 (95% CI = 0.07-0.08). The OR as 3.44 indicates that the odds of getting severe COVID-19 is more than 3 times higher in those with CVD. Also, prevalence of hypertension in patient with COVID-19 is 0.27 (95%CI = 0.27-0.28) and the OR as 2.68 indicates that the odds of getting severe COVID-19 in cases with high blood pressure is more than 2.5 times higher than those without hypertension. It is rational to suppose that persons with coronary artery disease are prone to severe viral infection thereby, guideline-directed diagnosis and medical therapy is vital in CVD patients.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826091 | PMC |
| http://dx.doi.org/10.1016/j.obmed.2021.100323 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Artificial Intelligence Assessment of Chest Radiographs for COVID-19.
Clin Lymphoma Myeloma Leuk
November 2024
Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Background: The sensitivity of reverse-transcription polymerase chain reaction (RT-PCR) is limited for diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest computed tomography (CT) is reported to have high sensitivity; however, given the limited availability of chest CT during a pandemic, the assessment of more readily available imaging, such as chest radiographs, augmented by artificial intelligence may substitute for the detection of the features of coronavirus disease 2019 (COVID-19) pneumonia.
Methods: We trained a deep convolutional neural network to detect SARS-CoV-2 pneumonia using publicly available chest radiography imaging data including 8,851 normal, 6,045 pneumonia, and 200 COVID-19 pneumonia radiographs.
Comparative analysis between genotypes of adenovirus isolates from hospitalized children with acute respiratory tract infections and clinical manifestations in Wuhan, China, from June 2022 to September 2023.
Virol Sin
December 2024
Department of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430070, China; School of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China. Electronic address:
Acute respiratory tract infections (ARTIs) are among the leading causes of morbidity and mortality in children worldwide. Human adenovirus (HAdV) infections are estimated to account for at least 5% of pediatric ARTIs. The circulated genotypes of HAdV and the correlation between genotype and clinical manifestations in Wuhan, China, before and after the complete relaxation of nonpharmaceutical interventions against severe acute respiratory syndrome coronavirus 2, remain unknown.
View Article and Find Full Text PDFA post-pandemic snapshot of the magnitude of COVID-19 in Brazil: A countrywide study.
Braz J Infect Dis
December 2024
University of Illinois Urbana-Champaign, Department of Kinesiology and Community Health, Urbana, IL, USA.
Objective: To outline the features of COVID-19 in Brazil through a countrywide telephone survey.
Methods: Data from the Telephone Survey of Risk Factors for Chronic Noncommunicable Diseases During the Pandemic (Covitel), a telephone survey of individuals aged 18 years or older from all macro-regions of Brazil, were used. The questionnaire included sociodemographic characteristics and outcomes related to COVID-19 infection, severity, vaccination, and use of masks.
School health policies and their implementation during the COVID-19 pandemic in the Philippines.
Trop Med Health
December 2024
Department of Global Health, Graduate School of Health Sciences, University of the Ryukyus, Nishihara, Japan.
Introduction: The COVID-19 pandemic has severely impacted the health and education of learners globally. However, there is a lack of information on enablers and barriers to the implementation of comprehensive school health policies during the pandemic.
Methods: This study utilized a case study design, and was conducted in the Division of City Schools of Navotas.
Background: Recent biomedical research has shown the unusual, multisystem effects of coronavirus disease 2019 in humans. One specific sequela of a primary severe acute respiratory syndrome coronavirus 2 infection is the reactivation of latent viruses in various tissues, such as Epstein-Barr virus. Epstein-Barr virus has been identified in many inflammatory gastrointestinal lesions, such as microscopic gastritides and colitides.
View Article and Find Full Text PDFWant 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!