Articles: covid-19.
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The world is currently grappling with the potentially life-threatening coronavirus disease 2019 (COVID-19), marking it as the most severe health crisis in the modern era. COVID-19 has led to a pandemic, with the World Health Organization (WHO) predicting that individuals with diabetes are at a higher risk of contracting the virus compared to the general population. This review aims to provide a practical summary of the long-term impacts of COVID-19 on patients with diabetes. Specifically, it focuses on the effects of SARS-CoV-2 on different types of diabetic patients, the associated mortality rate, the underlying mechanisms, related complications, and the role of vitamin D and zinc in therapeutic and preventive approaches. ⋯ Diabetes increases the morbidity and mortality risk for patients with COVID-19. Efforts are globally underway to explore therapeutic interventions aimed at reducing the impact of diabetes on COVID-19.
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Large, randomised trials are the bedrock of evidence-based medicine, but the resources required to complete such trials greatly limit the number of important clinical questions that can be addressed within a reasonable period of time. Adaptive platform trials can identify effective, ineffective, or harmful treatments faster. These trials have been shown to deliver rapid evidence through the COVID-19 pandemic and are now being adopted across surgery and anaesthesia, with many opportunities for surgeons, anaesthetists, and other perioperative physicians to conduct and collaborate in platform trials.
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Journal of critical care · Feb 2025
Multicenter Study Comparative Study Observational StudyA tidal volume of 7 mL/kg PBW or higher may be safe for COVID-19 patients.
The novel coronavirus disease (COVID-19) has revived the debate on the optimal tidal volume during acute respiratory distress syndrome (ARDS). Some experts recommend 6 mL/kg of predicted body weight (PBW) for all patients, while others suggest 7-9 mL/kg PBW for those with compliance >50 mL/cmH2O. We investigated whether a tidal volume ≥ 7 ml/kg PBW may be safe in COVID-19 patients, particularly those with compliance >50 mL/cmH2O. ⋯ A tidal volume ≥ 7 (up to 9) mL/kg PBW was associated with lower ICU mortality in these COVID-19 patients, including those with compliance <40 mL/cmH2O. This finding should be interpreted cautiously due to the retrospective study design.
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This narrative review evaluates the evidence regarding the protection offered by isolation gowns, approaches to imparting antimicrobial activity to gowns, and the environmental impacts of gown use, particularly during the COVID-19 pandemic. We conducted a search of the Medline, PubMed, and Google Scholar databases for articles published between January 1, 2019 to February 20, 2024. We found that current standards pertaining to isolation gowns might be irrelevant to the protection of healthcare workers from pathogen transmission, as they focus primarily on fluid barrier resistance values that are not reflective of all transmission conditions in hospitals. ⋯ However, evidence of the effectiveness of such techniques in clinical settings is scarce. We advocate for standardised guidelines inclusive of common pathogen survival tests, comfort, and durability, which reflect the actual infection risks encountered by healthcare workers, to improve the safety and efficacy of isolation gowns in hospital settings. Further research into the clinical effectiveness of antimicrobial gowns and their long-term implications on the environment is also warranted.
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Observational Study
Pragmatic evaluation of point of care lung ultrasound for the triage of COVID-19 patients using a simple scoring matrix: Intraclass-classification and predictive value.
The value of routine bedside lung ultrasound (LUS) for predicting patient disposition during visits to the Emergency Department (ED) is difficult to quantify. We hypothesized that a simplified scoring of bedside-acquired LUS images for the triage of acute respiratory symptoms in the ED would be associated with patient disposition. ⋯ A simplified scoring of bedside-acquired LUS images from patients with acute respiratory symptoms at the emergency department reliably predicts patient disposition.