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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
Area de conocimiento FRASCATI amplio: 3. Ciencias Médicas y de la Salud
Area de conocimiento FRASCATI detallado: 3.2.20 Endocrinología y Metabolismo
Area de conocimiento FRASCATI específico: 3.2 Medicina Clínica
Area de conocimiento UNESCO amplio: 09 - Salud y Bienestar
Area de conocimiento UNESCO detallado: 0914 - Tecnologías de Diagnóstico y Tratamiento Médico
Area 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
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