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dc.contributor.author
Drunday, Fabián  
dc.contributor.author
García, V.  
dc.contributor.author
Calviño, Amalia Mirta  
dc.date.available
2023-02-09T13:12:17Z  
dc.date.issued
2021  
dc.identifier.citation
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  
dc.identifier.issn
0025-7680  
dc.identifier.uri
http://hdl.handle.net/11336/187459  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Fundacion Revista Medicina  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
SMELL IDENTIFICATION  
dc.subject
TASTE  
dc.subject
FOOD ODORS  
dc.subject.classification
Otras Ciencias Biológicas  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Assessment of olfactory function in a clinical setting  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-11-01T22:46:59Z  
dc.journal.volume
80  
dc.journal.number
5  
dc.journal.pagination
1-5  
dc.journal.pais
Argentina  
dc.journal.ciudad
Ciudad Autónoma de Buenos Aires  
dc.description.fil
Fil: Drunday, Fabián. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Ciencias Biológicas. Cátedra de Fisiología Humana; Argentina  
dc.description.fil
Fil: García, V.. Hospital Arturo Illia; Argentina  
dc.description.fil
Fil: Calviño, Amalia Mirta. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina. Universidad de Buenos Aires. Facultad de Medicina. Hospital de Clínicas General San Martín; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.saic.org.ar/reunion-anual  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Nacional  
dc.type.subtype
Reunión  
dc.description.nombreEvento
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  
dc.date.evento
2020-11-10  
dc.description.ciudadEvento
Mar del Plata  
dc.description.paisEvento
Argentina  
dc.type.publicacion
Journal  
dc.description.institucionOrganizadora
Sociedad Argentina de Investigación Clínica  
dc.description.institucionOrganizadora
Sociedad Argentina de Inmunología  
dc.description.institucionOrganizadora
Sociedad Argentina De Fisiología  
dc.source.revista
Medicina (Buenos Aires)  
dc.date.eventoHasta
2020-11-13  
dc.type
Reunión