Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Evento

Assessment of olfactory function in a clinical setting

Drunday, Fabián; García, V.; Calviño, Amalia MirtaIcon
Tipo del evento: Reunión
Nombre del evento: LXIII Reunión Anual de la Sociedad Argentina de Investigación Clínica; LXVIII Reunión Anual de la Sociedad Argentina de Inmunología y Reunión Anual de la Sociedad Argentina de Fisiología
Fecha del evento: 10/11/2020
Institución Organizadora: Sociedad Argentina de Investigación Clínica; Sociedad Argentina de Inmunología; Sociedad Argentina De Fisiología;
Título de la revista: Medicina (Buenos Aires)
Editorial: Fundacion Revista Medicina
ISSN: 0025-7680
Idioma: Inglés
Clasificación temática:
Otras Ciencias Biológicas

Resumen

Smell detects, recognizes and identifies environmental volatiles. The aim of this work was to evaluate smell performance of a group of 350-450 health workers as part of a screening task of acute loss of smell in COVID-19 pandemic context. Smell identification (SI) and self reported judgments of odor (SRO) and taste (SRT)were evaluated. A battery of 12 commercial food odorivectors (peach, pineapple, berries, banana, mint, cherry, vanilla, coffee, vinegar (V) and others) were smelledby means of filter paper strips impregnated in 20 % V/V aqueous solutions (V at 4,5 % V/V) in four sessions (S1 to S4). In each session, SI was evaluated with a set of four randomized odorivectors: (V) and other three essences to avoid sensory adaptation. A multiple choice paradigm (MCP) with five randomized odorivector options was always offered with the algorithm of google forms (GF).SI was quantified by number of hits: 0 (anosmic, A), 1-2 (hyposmic, H) and 3-4 (normosmic, N). SRO (How do you consider to detect or discriminate odors?) and SRT (How do you consider to detect or discriminate tastes?) were self categorized as poor (I), normal (II) or high sensitivity (III). Gender (G), age (AG), smoking status(SS) were reported and body mass index (BMI) was calculated. Collected data wereanalyzed by descriptive statistics, categorical chi-square and one-way analysis of variance tests (AOV).For SI judgments very few values for A and H categories were found (S1=0 and 7; S2=1 and 21; S3=4 and 60; S4=1 and 22). Instead N encompassed 403, 378, 390 and 315 assessors respectively. SRO (I=2,9%, II=89,9% III=7,2%) and SRT (I=1,6%, II=92% III=6,4%) revealed predominantly normal self reported chemosensory functions. SI status was independent of G, AG, SS or BMI levels (chi-square values with p> 0.05) and hits depend of odorivector (AOV p< 0.01), where V, mint, cherry and vanilla were the most identified odors. MCP, several food odors and GF give auseful tool to elucidate acute loss of smell.
Palabras clave: SMELL IDENTIFICATION , TASTE , FOOD ODORS
Ver el registro completo
 
Archivos asociados
Thumbnail
 
Tamaño: 3.829Mb
Formato: PDF
.
Descargar
Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/187459
URL: https://www.saic.org.ar/reunion-anual
Colecciones
Eventos(INIGEM)
Eventos de INSTITUTO DE INMUNOLOGIA, GENETICA Y METABOLISMO
Citación
Assessment of olfactory function in a clinical setting; LXIII Reunión Anual de la Sociedad Argentina de Investigación Clínica; LXVIII Reunión Anual de la Sociedad Argentina de Inmunología y Reunión Anual de la Sociedad Argentina de Fisiología; Mar del Plata; Argentina; 2020; 1-5
Compartir

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES