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http://dx.doi.org/10.2340/00015555-0507 | DOI Listing |
MMWR Morb Mortal Wkly Rep
December 2024
Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC.
Human adenoviruses (HAdVs) are typically associated with mild respiratory illnesses, although severe disease and outbreaks in congregate settings occur. The National Adenovirus Type Reporting System (NATRS) is a passive, laboratory-based surveillance system that monitors trends in circulation of HAdV types in the United States. This report summarizes the distribution of HAdV types reported to NATRS during 2017-2023.
View Article and Find Full Text PDFJ Prev (2022)
December 2024
Department of Public Health, Faculty of Medicine, Dokuz Eylul University, 35340, Balcova, Izmir, Turkey.
Globorisk is a country-specific risk prediction model that estimates 10-year cardiovascular disease (CVD) risk. This study aims to evaluate the agreement between different versions of Globorisk and their ability to predict CVD in a nationwide Turkish cohort. Baseline data from 5449 participants aged 40-74 were obtained from Türkiye Chronic Diseases and Risk Factors Survey 2011.
View Article and Find Full Text PDFJ Vet Med Educ
November 2024
Department of Clinical Studies, Ontario Veterinary College, University of Guelph, 50 Stone Rd E, Guelph, ON N1G 2W1.
Reports regarding curricula in ophthalmology across veterinary schools are not currently available. The objective of this study was therefore to investigate the number of contact hours and approaches to teaching ophthalmology in the curriculum of English-speaking veterinary schools worldwide. An online survey was distributed to 51 veterinary colleges in North America, the United Kingdom, Australia, New Zealand, and the Caribbean.
View Article and Find Full Text PDFTrop Med Int Health
January 2025
Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia.
Background: Non-laboratory-based cardiovascular risk prediction tools are feasible alternatives to laboratory-based tools in low- and middle-income countries. However, their effectiveness compared to their laboratory-based counterparts has not been adequately tested.
Aim: We compared estimates from laboratory-based and non-laboratory-based risk prediction tools in a low- and middle-income country setting.
Neurology
December 2024
Division Translational Genomics of Neurodegenerative Diseases (L.B., A.T., D.M., M.S.), Hertie-Institute for Clinical Brain Research and Center for Neurology, and German Center for Neurodegenerative Diseases (DZNE) (L.B., A.T., D.M., K.D.-J., M.S., R.S.), University of Tübingen; Section Computational Sensomotorics (J.S., W.I.), Hertie Institute for Clinical Brain Research; Centre for Integrative Neuroscience (CIN) (J.S., W.I.); Department of Neurodegenerative Diseases (C.K.), Hertie-Institute for Clinical Brain Research and Center for Neurology, University of Tübingen; Center for Neurology and Hertie Institute for Clinical Brain Research (K.D.-J., R.S.), University Hospital Tübingen, Germany; Molecular Medicine (I.R., S.S.), IRCCS Fondazione Stella Maris, Pisa, Italy; Koç University (N.A.B.), Translational Medicine Research Center, KUTTAM-NDAL, Istanbul, Turkey; Sorbonne Université (G.C.), Paris Brain Institute, INSERM, CNRS, APHP, France; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (D.T.), University Hospital Essen, University of Duisburg-Essen, Germany; Groupe de recherche interdisciplinaire sur les maladies neuromusculaires (GRIMN) (C.G.), Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-St-Jean; Centre de recherche du Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-St-Jean (C.G.); Faculté de médecine et des sciences de la santé (C.G.), Université de Sherbrooke, Québec, Canada; Department of Neurology (B.P.C.v.d.W.), Radboud University Medical Center, Nijmegen, the Netherlands; and Division of Neurodegenerative Diseases (R.S.), Department of Neurology, Heidelberg University Hospital, Germany.
Background And Objectives: With targeted treatment trials on the horizon, identification of sensitive and valid outcome measures becomes a priority for >100 spastic ataxias. While digital-motor measures, assessed using wearable sensors, are considered prime outcome candidates for spastic ataxias, genotype-specific validation studies are lacking. We here aimed to identify candidate digital-motor outcomes for spastic paraplegia type 7 (SPG7)-one of the most common spastic ataxias-that (1) reflect patient-relevant health aspects, even in mild, trial-relevant disease stages; (2) are suitable for a multicenter setting; and (3) assess mobility also during uninstructed walking simulating real life.
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