Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus which causes COVID-19, is highly contagious. Dentistry is a high-risk profession for occupational virus transmission because of the close proximity of the operator to the patient during treatment and the procedural generation of aerosols.The impact on the provision of dental care has been profound, with routine care restricted or paused for a period around the world. There have been adverse consequences for dental education and clinical research. Emergency and urgent care provisions have generally proceeded. However, even when a patient's condition is deemed urgent, access to the appropriate care may not have been possible due to lack of the recommended personal protective equipment. The common dental diseases of caries and periodontitis usually present with signs and symptoms after some advancement, hence the recommended regular dental examination so that these may be diagnosed early by a professional with suitable lighting, instruments and radiography. Conditions such as oral cancer similarly present in their early stages without symptoms. Many countries introduced telephone and video consultations for patients with symptoms but much disease has gone undiagnosed and without management.It is difficult to ascertain the full effect of the disruption to dental services, education and research but it is likely to be substantial. The immediate future will focus on return to routine care provision with likely longer-term permanent changes.
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http://dx.doi.org/10.1038/s41415-020-2404-y | DOI Listing |
Cureus
December 2024
Emergency, Hospital de Braga, Braga, PRT.
Pericardial effusion refers to the accumulation of fluid within the pericardial sac, the double-layered membrane surrounding the heart. It can be caused by various medical conditions and may lead to serious complications if not diagnosed and managed promptly. Point-of-care ultrasound (POCUS) has emerged as a valuable tool in the clinical evaluation of pericardial effusions, offering real-time visualization and aiding in the assessment of its size, characteristics, and potential hemodynamic impact.
View Article and Find Full Text PDFTransplant Direct
February 2025
Department of Medicine, UMass Chan Medical School, Worcester, MA.
Background: As the burden of chronic liver disease and the demand for liver transplants (LT) grows, understanding the interplay between access to care and patient outcomes is increasingly important. In this study, we explored patient characteristics and transplant outcomes in patients undergoing LT evaluations, with a focus on identifying risk factors for expedited LT evaluation.
Methods: This single-center retrospective cohort study included patients who underwent LT evaluation for deceased donor LT between October 2017 and July 2021.
Can J Pain
January 2025
Bruyère Research Institute, Ottawa, Ontario, Canada.
Background: Health care providers often struggle to treat patients with chronic pain. One potential solution is to facilitate access to programs and tools that develop patients' skills and confidence in managing their own care.
Aims: This study aimed to describe the uptake of the Chronic Pain Self-Management Program (CPSMP) in Eastern Ontario and evaluate the effectiveness of the program in the acquisition of knowledge, confidence, and skills required to manage chronic pain, as measured by the Patient Activation Measure (PAM).
BMJ Oncol
October 2023
Translational and Clinical Research, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK.
BMJ Oncol
November 2024
Department of Computer Science, Durham University, Durham, UK.
Objectives: Routine monitoring of renal and hepatic function during chemotherapy ensures that treatment-related organ damage has not occurred and clearance of subsequent treatment is not hindered; however, frequency and timing are not optimal. Model bias and data heterogeneity concerns have hampered the ability of machine learning (ML) to be deployed into clinical practice. This study aims to develop models that could support individualised decisions on the timing of renal and hepatic monitoring while exploring the effect of data shift on model performance.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!