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http://dx.doi.org/10.1103/PhysRevLett.84.3734 | DOI Listing |
Persoonia
June 2023
Westerdijk Fungal Biodiversity Institute, P.O. Box 85167, 3508AD Utrecht, The Netherlands.
Novel species of fungi described in this study include those from various countries as follows: , on whitefly, on bark of , from soil under , on leaf spot of , and on leaf spot of . , on fully submersed siliceous schist in high-mountain streams, and on the lower part and apothecial discs of on a twig. , on decaying wood, from moist soil with leaf litter, on a trunk of a living unknown hardwood tree species, and on dead twigs of unidentified plant.
View Article and Find Full Text PDFBackground: Paediatric multisystem inflammatory syndrome temporally associated with SARS-CoV-2 (PIMS-TS), also known as multisystem inflammatory syndrome in children (MIS-C) emerged in April, 2020. The paediatric comparisons within the RECOVERY trial aimed to assess the effect of intravenous immunoglobulin or corticosteroids compared with usual care on duration of hospital stay for children with PIMS-TS and to compare tocilizumab (anti-IL-6 receptor monoclonal antibody) or anakinra (anti-IL-1 receptor antagonist) with usual care for those with inflammation refractory to initial treatment.
Methods: We did this randomised, controlled, open-label, platform trial in 51 hospitals in the UK.
N Engl J Med
December 2023
From the Division of Pediatric Nephrology, University of Minnesota Medical School, Minneapolis (M.N.R.); the Department of Laboratory Medicine and Pathology, University of Washington, Seattle (C.E.A.); the Department of Cardiovascular Sciences, University of Leicester General Hospital, Leicester, United Kingdom (J.B.); Travere Therapeutics, San Diego, CA (S.B., U.D., J.K.I., R.K., W.R.); the Division of Nephrology, Columbia University Irving Medical Center, New York (P.C., J.R.); the Division of Nephrology, Department of Internal Medicine, Seoul Red Cross Hospital, Seoul, South Korea (D.-W.C.); Penn Renal Electrolyte and Hypertension Perelman, University of Pennsylvania, Philadelphia (G.C.); the Nephrology, Dialysis, and Transplantation Unit, University of Bari Aldo Moro, Bari, Italy (L.G.); the Department of Clinical Pharmacy and Pharmacology, University of Groningen, Groningen, the Netherlands (H.J.L.H.); the George Institute for Global Health (H.J.L.H., V.P.) and the Faculty of Medicine and Health (V.P.), University of New South Wales, Sydney, and the Department of Renal Medicine, Concord Repatriation General Hospital, and Concord Clinical School, University of Sydney, Concord, NSW (M.G.W.) - all in Australia; the Department of Medicine (Nephrology), Federal University of São Paulo (G.M.K.), and the Division of Nephrology, University of São Paulo (I.L.N.) - both in São Paulo; the Department of Internal Medicine, Division of Nephrology, School of Medicine, University of Utah, Salt Lake City (D.K.); Colorado Kidney Care, Denver (L.A.K.); Hackensack University Medical Center, Hackensack, NJ (K.L.); JAMCO Pharma Consulting, Stockholm (A.M.); the Division of Nephrology, Ohio State University Wexner Medical Center, Columbus (B.R.); Všeobecná fakultní nemocnice v Praze, Prague, Czech Republic (V.T.); the Nephrology Service, Hospital Británico de Buenos Aires, Buenos Aires (H. Trimarchi); the Renal Division, Emory University, Atlanta, and the NephroNet Clinical Trials Consortium, Lawrenceville - both in Georgia (J.T.); and the Division of Nephrology, Department of Pediatrics, University of Michigan, Ann Arbor (H. Trachtman).
Lancet Diabetes Endocrinol
December 2023
Background: Empagliflozin has been proposed as a treatment for COVID-19 on the basis of its anti-inflammatory, metabolic, and haemodynamic effects. The RECOVERY trial aimed to assess its safety and efficacy in patients admitted to hospital with COVID-19.
Methods: In the randomised, controlled, open-label RECOVERY trial, several possible treatments are compared with usual care in patients hospitalised with COVID-19.
Eur Radiol
February 2024
Annalise.ai, Sydney, NSW, Australia.
Objectives: Non-contrast computed tomography of the brain (NCCTB) is commonly used to detect intracranial pathology but is subject to interpretation errors. Machine learning can augment clinical decision-making and improve NCCTB scan interpretation. This retrospective detection accuracy study assessed the performance of radiologists assisted by a deep learning model and compared the standalone performance of the model with that of unassisted radiologists.
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