dc.contributor.advisor | Dioses Días, Karim María | |
dc.contributor.author | Huayanay Seminario, Janet del Pilar | |
dc.creator | Huayanay Seminario, Janet del Pilar | |
dc.date.accessioned | 2022-10-27T14:57:24Z | |
dc.date.available | 2022-10-27T14:57:24Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12759/9626 | |
dc.description.abstract | Determinar si la anosmia y ageusia son predictores tempranos para COVID 19 en los pacientes del Hospital Santa Rosa en el 2020. Metodología: Estudio analítico,
observacional y pruebas diagnósticas. Para la obtención de datos, se usarán las historias
clínicas de los pacientes que cuenten con pruebas moleculares y/o antigénicas para el
diagnóstico de COVID-19 del Hospital. En la estadística se empleará el Chi Cuadrado y
se aplicará el valor de p menor al 5% (p<0.05) para la significancia. Se determinará el
punto de corte para hallar la sensibilidad, especificidad, VPP, VPN y exactitud
diagnostica, esta última evaluada mediante el gráfico de curva ROC. Resultados: Se
incluyeron 134 pacientes hospitalizados del hospital santa rosa, durante el 2020, de los
cuales el 58.2% presentaron diagnostico confirmado por prueba molecular o antigénica y
la edad promedio fue de 51.6 años. Se encontró una exactitud diagnostica de 0.63 Para la
anosmia; 0.62 para la ageusia y 0.71 para ambos síntomas. Conclusión: La anosmia y/o
ageusia como síntomas asociados pueden ser considerados como predictores tempranos
para del diagnóstico de COVID-19 . | es_PE |
dc.description.abstract | To determine if anosmia and ageusia are early predictors for COVID-19 in
patients at Hospital Santa Rosa in 2020. Methodology: Analytical, observational study
and diagnostic tests. To obtain data, the medical records of patients who have molecular
and/or antigenic tests for the diagnosis of COVID-19 at the Hospital will be used. In the
statistics, the Chi Square will be used and the value of p less than 5% (p<0.05) will be
applied for significance. The cut-off point will be determined to find the sensitivity,
specificity, PPV, NPV and diagnostic accuracy, the latter evaluated using the ROC curve
graph. Results: 134 hospitalized patients from the Santa Rosa Hospital were included
during 2020, of which 58.2% had a diagnosis confirmed by molecular or antigenic testing
and the average age was 51.6 years. A diagnostic accuracy of 0.63 was found for anosmia;
0.62 for ageusia and 0.71 for both symptoms. Conclusion: Anosmia and ageusia as
associated symptoms can be considered as early predictors for the diagnosis of COVID 19. | en_US |
dc.description.uri | Tesis | es_PE |
dc.format | application/pdf | es_PE |
dc.language.iso | spa | es_PE |
dc.publisher | Universidad Privada Antenor Orrego | es_PE |
dc.relation.ispartofseries | T_MEDP_334 | |
dc.rights | info:eu-repo/semantics/closedAccess | es_PE |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | es_PE |
dc.source | Universidad Privada Antenor Orrego | es_PE |
dc.source | Repositorio Institucional - UPAO | es_PE |
dc.subject | COVID - 19 | es_PE |
dc.subject | Anosmia | es_PE |
dc.title | Anosmia y/o Ageusia como predictores tempranos de Covid- 19 en pacientes del Hospital Santa Rosa Piura - 2020 | es_PE |
dc.type | info:eu-repo/semantics/bachelorThesis | es_PE |
thesis.degree.level | Título Profesional | es_PE |
thesis.degree.grantor | Universidad Privada Antenor Orrego. Facultad de Medicina Humana | es_PE |
thesis.degree.name | Médico Cirujano | es_PE |
thesis.degree.discipline | Medicina Humana | es_PE |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#3.02.27 | es_PE |
renati.advisor.orcid | https://orcid.org/0000-0003-4597-5437 | es_PE |
renati.author.dni | 71834459 | |
renati.advisor.dni | 44188387 | |
renati.type | https://purl.org/pe-repo/renati/type#tesis | es_PE |
renati.level | https://purl.org/pe-repo/renati/level#tituloProfesional | es_PE |
renati.discipline | 912016 | es_PE |
renati.juror | Dávila Carbajal, Christian Luis | |
renati.juror | Cavalcanti Ramírez, Sofia | |
renati.juror | Serna Alarcón, Víctor | |
dc.publisher.country | PE | es_PE |