Por favor, use este identificador para citar o enlazar este ítem:
http://dspace.udla.edu.ec/handle/33000/8288Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.advisor | Patiño Mosquera, Fausto Guillermo | - |
| dc.creator | Laso Moreira, Andrea Verenice | - |
| dc.date.accessioned | 2018-02-05T22:02:46Z | - |
| dc.date.available | 2018-02-05T22:02:46Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Laso Moreira, A. V. (2017). Evaluación de la eficacia diagnóstica del riesgo de diabetes mellitus tipo 2 de un cuestionario basado en predictores no invasivos, en comparación con una ecuación de variables clínicas y biomarcadores (Tesis de pregrado). Universidad de las Américas, Quito. | es_ES |
| dc.identifier.other | UDLA-EC-TMC-2017-09 | - |
| dc.identifier.uri | http://dspace.udla.edu.ec/handle/33000/8288 | - |
| dc.description | Overview: since referred to the risk factors of development of Diabetes mellitus type 2 (DM2), instruments allowing to identify people at risk of this disease have been developed. One of the ways that is used for the determination of risk of diabetes, in the next 7.5 years, is through the use of the formula STERN, which has shown higher sensitivity than other models for predicting risk of diabetes type 2 using clinical and biological markers. The study proposes a questionnaire that facilitates the development of diabetes detection, eliminating invasive tests and considers the clinical variables and body measurements, which are: the food and physical activity habits, levels of blood pressure, age, sex, index waist height, abdominal perimeter, body mass index and a family history of type 2 diabetes mellitus. Objective: Provide a method to identify the risk of development of diabetes mellitus type 2 based on a questionnaire which uses clinical data and body measurements. Methodology: The model proposed is evaluated based on the results of the STERN formula. In addition, FINRISC results are also compared with the same formula. This is a cross-sectional study that validates the proposed model, using the risk classification according to the preference method, the formula STERN, and does not determine the incidence of diabetes over time. Results and conclusions: The method presented greater agreement to identify diabetes risk (kappa: 0.401) than FINDRISC (kappa: 0.346). The propose model exposed the risk of diabetes according to the STERN formula with sensitivity of 68.3 percent and specificity of 71.8 percent, in addition Odds Ratio of 5.48 (95 percent CI 2.6-11.50). | en |
| dc.description.abstract | Desde que se conocen los factores de riesgo de desarrollo de Diabetes mellitus tipo 2 (DM2), se han elaborado instrumentos que permiten identificar a las personas en situación de riesgo de esta enfermedad. Una de las maneras que se emplea para la determinación de riesgo de diabetes, en los siguientes 7,5 años, es mediante el uso de la formula STERN, la cual ha mostrado una sensibilidad mayor que otros modelos de predicción de riesgo de diabetes tipo 2 empleando variables clínicas y marcadores biológicos... | es_ES |
| dc.format.extent | 120 p. | es_ES |
| dc.language.iso | spa | es_ES |
| dc.publisher | Quito: Universidad de las Américas, 2017 | es_ES |
| dc.rights | openAccess | es_ES |
| dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Ecuador | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ec/ | * |
| dc.subject | ENFERMEDADES-DIAGNÓSTICO | es_ES |
| dc.subject | MÉTODO CLÍNICO | es_ES |
| dc.subject | DIABETES | es_ES |
| dc.title | Evaluación de la eficacia diagnóstica del riesgo de diabetes mellitus tipo 2 de un cuestionario basado en predictores no invasivos, en comparación con un ecuación de variables clínicas y biomarcadores | es_ES |
| dc.type | bachelorThesis | es_ES |
| Aparece en las colecciones: | Medicina | |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| UDLA-EC-TMC-2017-09.pdf | 808,18 kB | Adobe PDF | Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons
