Objective: while smell training appears to be effective for post viral smell loss, its effectiveness in COVID-19 induced smell loss is currently not well known. Therefore, we aim to investigate the potential effect of smell training on patients with COVID-19 induced smell loss.
Methods: we conducted a case-control study with two comparable cohorts. One of which (n=111) was instructed to perform smell training twice daily for 12 weeks, therapeutical adherence was monitored on a daily schedule, while the other cohort (n=50) did not perform smell training. The Sniffin' Sticks Test (SST) was used to objectify participants' sense of smell at baseline and after 12 weeks, reported as a Threshold, Discrimination, and Identification (TDI) score. We also determined the association between therapeutical adherence and the TDI scores.
Results: we found a significant difference in psychophysical smell function between patients with COVID-19 induced smell disorders who performed 12 weeks of smell training and those who did not. Median TDI difference between groups was 2.00 However, there was no association between the therapeutical adherence and olfactory function.
Conclusion: we discovered a significant moderate difference in psychophysical smell function between patients with COVID-19-induced smell disorders who performed smell training and those who did not, implying a possible advantage of training. However, no relationship was found between therapeutical adherence of smell training and olfactory function.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.4193/Rhin23.191 | DOI Listing |
Sci Rep
December 2024
Department of Postharvest Management, College of Agriculture and Veterinary Medicine, Jimma University, Jimma, Ethiopia.
This study assessed the factors contributing to postharvest loss of fish around the Fincha'a, Amarti, and Nashe reservoirs in Horro Guduru Wollega, Oromia, Western Ethiopia, using semi-structured questionnaires from January, 2022 GC onward. The aim of the finding was to know the fish handling and post-harvest preservation of fish around the reservoirs. In the study area, 320 respondents were selected using a random sampling system.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Department of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hannover, Germany.
Rapid and sensitive diagnostic measures are a pre-requisite for the control of SARS-CoV-2 outbreaks. Dogs detect SARS-CoV-2-infected human individuals with high speed due to their extraordinary olfactory acuity. In the post-pandemic phase of SARS-CoV-2 it is difficult to obtain samples from infected humans for scent dog training.
View Article and Find Full Text PDFVet Med Int
December 2024
Physiology-Pharmacology Laboratory, Physiopathology Bioactive Substances and Safety Research Unit, University of Lome, 01BP: 1515, Lome, Togo.
The African grasscutter (AGC) () is the second largest rodent in sub-Saharan Africa. It is bred for its organoleptic and culinary properties but also serves as a research model. The aim of this study was to investigate the relationship between age-related changes in brain weight, brain volume, and spatial and nonspatial memory performance in the AGC.
View Article and Find Full Text PDFCurr Biol
December 2024
Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. Electronic address:
Recognizing conspecifics-others of the same species-in order to determine how to interact with them appropriately is a fundamental goal of animal sensory systems. It has undergone selective pressure in nearly all species. Mice have a large repertoire of social behaviors that are the subject of a rapidly growing field of study in neuroscience.
View Article and Find Full Text PDFAdv Sci (Weinh)
December 2024
Department of Systems Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, 519087, China.
This study introduces an artificial neural network (ANN) for image classification task, inspired by the aversive olfactory learning neural circuit in Caenorhabditis elegans (C. elegans). Although artificial neural networks (ANNs) have demonstrated remarkable performance in various tasks, they still encounter challenges including excessive parameterization, high training costs and limited generalization capabilities, etc.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!