Usando la curva de tolerancia a la glucosa para calcular el porcentaje relativo de sensibilidad insulínica y el porcentaje relativo de función beta insular

Background An instrument to help clinicians to evaluate the oral glucose tolerance test (OGTT) at-a-glance is lacking. Aim To generate a program written in HTML squeezing relevant information from the OGTT with glucose and insulin measurements. Material and Methods We reanalyzed a database com...

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Autores principales:	CONTRERAS,PATRICIO H., BERNAL,YANARA A., VIGIL,PILAR
Lenguaje:	Spanish / Castilian
Publicado:	Sociedad Médica de Santiago 2020
Materias:	Glucose Tolerance Test Insulin Resistance Metabolic Syndrome
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872020000400436
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spelling	oai:scielo:S0034-988720200004004362020-07-07Usando la curva de tolerancia a la glucosa para calcular el porcentaje relativo de sensibilidad insulínica y el porcentaje relativo de función beta insularCONTRERAS,PATRICIO H.BERNAL,YANARA A.VIGIL,PILAR Glucose Tolerance Test Insulin Resistance Metabolic Syndrome Background An instrument to help clinicians to evaluate the oral glucose tolerance test (OGTT) at-a-glance is lacking. Aim To generate a program written in HTML squeezing relevant information from the OGTT with glucose and insulin measurements. Material and Methods We reanalyzed a database comprising 90 subjects. All of them had both an OGTT and a pancreatic suppression test (PST) measuring insulin resistance directly. Thirty-seven of the 90 studied participants were insulin resistant (IR). Receiver operating characteristic (ROC) curves and Bayesian analyses delineated the diagnostic performances of four predictors of insulin resistance: HOMA, QUICKI, ISI-OL (Matsuda-DeFronzo) and I0G60. We validated a new biochemical predictor, the Percentual Relative Insulin Sensitivity (%RIS), and calculated the Percentual Relative Beta Cell Function (%RBCF). Results The best diagnostic performance of the five predictors were those of the I0G60 and the %RIS. The poorest diagnostic performances were those of the HOMA and QUICKI. The ISI-OL’s performance was in between. The %RIS of participants with and without IR was 44.4 ± 7.3 and 101.1 ± 8.8, respectively (p < 0.05). The figures for % RBCF were 55.8 ± 11.8 and 90.8 ± 11.6, respectively (p < 0.05). Mathematical modeling of the relationship between these predictors and the Steady State Plasma Glucose Value from the PST was performed. We developed a program with 10 inputs (glucose and insulin values) and several outputs: I0*G60, HOMA, QUICKI, ISI-OL, Insulinogenic Index, Disposition Index, %RBCF, %RIS, and metabolic categorization of the OGTT (ADA 2003). Conclusions The OGTT data permitted us to write successfully an HTML program allowing the user to fully evaluate at-a-glance its metabolic information.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.148 n.4 20202020-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872020000400436es10.4067/s0034-98872020000400436
institution	Scielo Chile
collection	Scielo Chile
language	Spanish / Castilian
topic	Glucose Tolerance Test Insulin Resistance Metabolic Syndrome
spellingShingle	Glucose Tolerance Test Insulin Resistance Metabolic Syndrome CONTRERAS,PATRICIO H. BERNAL,YANARA A. VIGIL,PILAR Usando la curva de tolerancia a la glucosa para calcular el porcentaje relativo de sensibilidad insulínica y el porcentaje relativo de función beta insular
description	Background An instrument to help clinicians to evaluate the oral glucose tolerance test (OGTT) at-a-glance is lacking. Aim To generate a program written in HTML squeezing relevant information from the OGTT with glucose and insulin measurements. Material and Methods We reanalyzed a database comprising 90 subjects. All of them had both an OGTT and a pancreatic suppression test (PST) measuring insulin resistance directly. Thirty-seven of the 90 studied participants were insulin resistant (IR). Receiver operating characteristic (ROC) curves and Bayesian analyses delineated the diagnostic performances of four predictors of insulin resistance: HOMA, QUICKI, ISI-OL (Matsuda-DeFronzo) and I0G60. We validated a new biochemical predictor, the Percentual Relative Insulin Sensitivity (%RIS), and calculated the Percentual Relative Beta Cell Function (%RBCF). Results The best diagnostic performance of the five predictors were those of the I0G60 and the %RIS. The poorest diagnostic performances were those of the HOMA and QUICKI. The ISI-OL’s performance was in between. The %RIS of participants with and without IR was 44.4 ± 7.3 and 101.1 ± 8.8, respectively (p < 0.05). The figures for % RBCF were 55.8 ± 11.8 and 90.8 ± 11.6, respectively (p < 0.05). Mathematical modeling of the relationship between these predictors and the Steady State Plasma Glucose Value from the PST was performed. We developed a program with 10 inputs (glucose and insulin values) and several outputs: I0*G60, HOMA, QUICKI, ISI-OL, Insulinogenic Index, Disposition Index, %RBCF, %RIS, and metabolic categorization of the OGTT (ADA 2003). Conclusions The OGTT data permitted us to write successfully an HTML program allowing the user to fully evaluate at-a-glance its metabolic information.
author	CONTRERAS,PATRICIO H. BERNAL,YANARA A. VIGIL,PILAR
author_facet	CONTRERAS,PATRICIO H. BERNAL,YANARA A. VIGIL,PILAR
author_sort	CONTRERAS,PATRICIO H.
title	Usando la curva de tolerancia a la glucosa para calcular el porcentaje relativo de sensibilidad insulínica y el porcentaje relativo de función beta insular
title_short	Usando la curva de tolerancia a la glucosa para calcular el porcentaje relativo de sensibilidad insulínica y el porcentaje relativo de función beta insular
title_full	Usando la curva de tolerancia a la glucosa para calcular el porcentaje relativo de sensibilidad insulínica y el porcentaje relativo de función beta insular
title_fullStr	Usando la curva de tolerancia a la glucosa para calcular el porcentaje relativo de sensibilidad insulínica y el porcentaje relativo de función beta insular
title_full_unstemmed	Usando la curva de tolerancia a la glucosa para calcular el porcentaje relativo de sensibilidad insulínica y el porcentaje relativo de función beta insular
title_sort	usando la curva de tolerancia a la glucosa para calcular el porcentaje relativo de sensibilidad insulínica y el porcentaje relativo de función beta insular
publisher	Sociedad Médica de Santiago
publishDate	2020
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872020000400436
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Usando la curva de tolerancia a la glucosa para calcular el porcentaje relativo de sensibilidad insulínica y el porcentaje relativo de función beta insular

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