Por favor, use este identificador para citar o enlazar este ítem:
http://dspace.ucuenca.edu.ec/handle/123456789/33092
Título : | Towards the insulin resistance and obesity diagnosis: A dimensional analysis approach |
Otros títulos : | |
Autor: | Velásquez, Jesús Severeyn, Erika Herrera, Hector Antonio Utrera, Nestor Encalada Torres, Lorena Esperanza Wong de balzan , Sara Null |
Palabras clave : | Bmi Dimensional Analysis Homa-Ir Insulin Resistance Obesity |
Área de conocimiento FRASCATI amplio: | 3. Ciencias Médicas y de la Salud |
Área de conocimiento FRASCATI detallado: | 3.2.20 Endocrinología y Metabolismo |
Área de conocimiento FRASCATI específico: | 3.2 Medicina Clínica |
Área de conocimiento UNESCO amplio: | 09 - Salud y Bienestar |
ÁArea de conocimiento UNESCO detallado: | 0914 - Tecnologías de Diagnóstico y Tratamiento Médico |
Área de conocimiento UNESCO específico: | 091 - Salud |
Fecha de publicación : | 2018 |
Fecha de fin de embargo: | 31-dic-2050 |
Volumen: | volumen 00 |
Fuente: | 2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018. Proceeding |
metadata.dc.identifier.doi: | 10.1109/ETCM.2018.8580313 |
Editor: | Institute of Electrical and Electronics Engineers Inc. |
Ciudad: | Cuenca |
Tipo: | ARTÍCULO DE CONFERENCIA |
Abstract: | Diabetes mellitus and cardiovascular diseases are ailments related to insulin resistance (IR) and obesity. The existing methods for IR and obesity diagnosis are the HOMA-IR and body mass index (BMI), respectively. Those methods have limitations in the diagnosis. The aim of this research is to propose dimensionless indexes that can diagnose subjects with IR and obesity using anthropometrics and biochemical variables (waist circumference, height, weight, systolic blood pressure, diastolic blood pressure and triglycerides). Three dimensionless indexes, designed from the π Vaschy-Buckingham theorem, were assessed using receiver operating characteristic (ROC) curves and a database of 829 subjects. The index π 1 , constructed with the variables: waist circumference, triglycerides height and weight; obtained a better performance as classifier of IR and obesity, presenting an area under the ROC curve of 0.78, sensitivity of 0.82 and specificity of 0.68 for IR diagnosis, and an area under the ROC curve of 0.68, sensitivity of 0.66 and specificity of 0.65 for obesity diagnosis. The π 1 dimensionless index designed in this study is a simple method that allows diagnosing two pathologies from variables that can be collected in a routine medical examination. |
Resumen : | Diabetes mellitus and cardiovascular diseases are ailments related to insulin resistance (IR) and obesity. The existing methods for IR and obesity diagnosis are the HOMA-IR and body mass index (BMI), respectively. Those methods have limitations in the diagnosis. The aim of this research is to propose dimensionless indexes that can diagnose subjects with IR and obesity using anthropometrics and biochemical variables (waist circumference, height, weight, systolic blood pressure, diastolic blood pressure and triglycerides). Three dimensionless indexes, designed from the π Vaschy-Buckingham theorem, were assessed using receiver operating characteristic (ROC) curves and a database of 829 subjects. The index π 1 , constructed with the variables: waist circumference, triglycerides height and weight; obtained a better performance as classifier of IR and obesity, presenting an area under the ROC curve of 0.78, sensitivity of 0.82 and specificity of 0.68 for IR diagnosis, and an area under the ROC curve of 0.68, sensitivity of 0.66 and specificity of 0.65 for obesity diagnosis. The π 1 dimensionless index designed in this study is a simple method that allows diagnosing two pathologies from variables that can be collected in a routine medical examination. |
URI : | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85060711823&origin=inward |
URI Fuente: | https://ieeexplore.ieee.org/xpl/conhome/8561378/proceeding |
ISBN : | 978-153866657-9 |
ISSN : | 0000-0000 |
Aparece en las colecciones: | Artículos
|
Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.