Background And Aims: COVID-19 is an emerging pandemic due to droplet infection of 2019-novel coronavirus (2019-nCoV). Due to its rapid transmission and high case-fatality rate, recognition of its risk and prognostic factor is important. Obesity has been associated with impaired immune system, increasing the susceptibility for 2019-nCoV infection. We aimed to study the impact of obesity to the prognosis and disease severity of COVID-19.
Methods: A systematic search and handsearching was conducted in four databases: Cochrane, MEDLINE, EMBASE, and PubMed. The identified articles were screened using the chosen eligibility criteria. We obtained three retrospective cohort studies (Wu J et al., Lighter J et al., and Simonnet A et al.) to be critically appraised using Newcastle Ottawa Scale.
Results: The findings of all included studies were consistent in stating the contribution of obesity as a risk factor to increase the requirement for advanced medical care. Study with the highest quality, Simonnet A et al., reported an increase need of invasive mechanical ventilation in COVID-19 patients with body mass index higher than 35 kg/m, OR: 7.36 (1.63-33.14; p = 0.021). This is associated with a higher mortality rate in obese population infected with COVID-19.
Conclusion: Obesity is an independent risk and prognostic factor for the disease severity and the requirement of advanced medical care in COVID-19. This systematic review highlights a particularly vulnerable group - obese, and emphasises on the importance of treatment aggression and disease prevention in this population group.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217103 | PMC |
http://dx.doi.org/10.1016/j.dsx.2020.05.020 | DOI Listing |
J Gen Virol
January 2025
Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
The complexity and speed of evolution in viruses with RNA genomes makes predictive identification of variants with epidemic or pandemic potential challenging. In recent years, machine learning has become an increasingly capable technology for addressing this challenge, as advances in methods and computational power have dramatically improved the performance of models and led to their widespread adoption across industries and disciplines. Nascent applications of machine learning technology to virus research have now expanded, providing new tools for handling large-scale datasets and leading to a reshaping of existing workflows for phenotype prediction, phylogenetic analysis, drug discovery and more.
View Article and Find Full Text PDFJ Antimicrob Chemother
January 2025
Division of Infectious Diseases, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, University of Cologne, Kerpener Str. 62, 50939 Cologne, Germany.
Background: Persistent COVID-19 (pCOVID-19) in immunocompromised patients is characterized by unspecific symptoms and pulmonary infiltrates due to ongoing severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) replication. Treatment options remain unclear, leading to different approaches, including combination therapy and extended durations. The purpose of this study was to assess the efficacy and safety of antiviral therapies for pCOVID-19 in immunocompromised patients since the Omicron surge.
View Article and Find Full Text PDFCrit Care Explor
January 2025
Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI.
Objectives: Hispanic individuals comprise one-fifth of the U.S. population and Hispanic patients with acute hypoxemic respiratory failure (AHRF) experience higher odds of death compared with non-Hispanic White patients.
View Article and Find Full Text PDFEuroasian J Hepatogastroenterol
December 2024
Department of Biochemistry, Institute of Liver and Biliary Sciences, New Delhi, India.
Background: There is an international consensus among experts advocating for the classification of fatty liver disease as a metabolic condition. However, some authors have raised concerns that this metabolic-centric framing may result in the underdiagnosis of metabolicdysfunction-associated steatotic liver disease (MASLD) in lean individuals. The present study was carried out with the objective of describing metabolic characteristics in MASLD and the prevalence of lean MASLD in the general population.
View Article and Find Full Text PDFEClinicalMedicine
January 2025
School of Physical Therapy, Faculty of Health Science, Western University, London, Ontario, Canada.
Background: Given the chronic immune activation and inflammatory milieu associated with Long COVID and HIV, we assessed the prevalence of Long COVID in adults living with HIV; and investigated whether adults living with HIV were associated with increased chance of developing Long COVID compared to adults living without HIV.
Methods: In this systematic review and meta-analysis, we searched Medline, EMBASE, CINHAL, PubMed and CENTRAL from inception until June 14th, 2024, for observational studies that measured the prevalence of Long COVID in adults living with HIV and the odds of developing Long COVID following a SARS-CoV-2 infection in people living with HIV compared to people living without HIV. Reviews, case reports, randomised control trials and editorials were excluded.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!