We are analyzing https://link.springer.com/article/10.1007/bf00280883.

Title:
Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man | Diabetologia
Description:
The steady-state basal plasma glucose and insulin concentrations are determined by their interaction in a feedback loop. A computer-solved model has been used to predict the homeostatic concentrations which arise from varying degrees of β-cell deficiency and insulin resistance. Comparison of a patient
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Keywords {🔍}

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Topics {✒️}

deficient β-cell function glucose-induced insulin secretion β-cell function beta cell function glucose clamp technique β-cell deficit type 1 diabetes type 2 diabetes β-cell deficiency homeostasis model assessment insulin-dependent diabetes basal plasma glucose fasting plasma glucose privacy choices/manage cookies insulin resistance obtained computer-solved model maturity-onset diabetes maturity onset diabetes basal insulin secretion quantifying insulin secretion pulsatile insulin secretion glucose homeostasis insulin resistance interaction simple relevant index dose-response characteristics insulin-receptor binding holman rr fasting insulin concentration european economic area related subjects net weight standard flexible computer programme greater hypoglycaemic effect type plasma glucose conditions privacy policy model assessment basal glucose search search continuous blood sampling time series analysis euglycaemic clamp accepting optional cookies scope submit manuscript hyperglycaemic clamp patient data accords glucose concentrations glucose clamping insulin resistance man originals published

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man
         description:The steady-state basal plasma glucose and insulin concentrations are determined by their interaction in a feedback loop. A computer-solved model has been used to predict the homeostatic concentrations which arise from varying degrees of β-cell deficiency and insulin resistance. Comparison of a patient's fasting values with the model's predictions allows a quantitative assessment of the contributions of insulin resistance and deficient β-cell function to the fasting hyperglycaemia (homeostasis model assessment, HOMA). The accuracy and precision of the estimate have been determined by comparison with independent measures of insulin resistance and β-cell function using hyperglycaemic and euglycaemic clamps and an intravenous glucose tolerance test. The estimate of insulin resistance obtained by homeostasis model assessment correlated with estimates obtained by use of the euglycaemic clamp (Rs = 0.88, p < 0.0001), the fasting insulin concentration (Rs = 0.81, p < 0.0001), and the hyperglycaemic clamp, (Rs = 0.69, p < 0.01). There was no correlation with any aspect of insulin-receptor binding. The estimate of deficient β-cell function obtained by homeostasis model assessment correlated with that derived using the hyperglycaemic clamp (Rs = 0.61, p < 0.01) and with the estimate from the intravenous glucose tolerance test (Rs = 0.64, p < 0.05). The low precision of the estimates from the model (coefficients of variation: 31% for insulin resistance and 32% for β-cell deficit) limits its use, but the correlation of the model's estimates with patient data accords with the hypothesis that basal glucose and insulin interactions are largely determined by a simple feed back loop.
         datePublished:
         dateModified:
         pageStart:412
         pageEnd:419
         sameAs:https://doi.org/10.1007/BF00280883
         keywords:
            β-cell function
            insulin resistance
            mathematical model
            intravenous glucose tolerance test
            glucose clamp
            insulin receptors
            Type 2 diabetes
            insulin
            glucose
            Internal Medicine
            Metabolic Diseases
            Human Physiology
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               name:D. R. Matthews
               affiliation:
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ScholarlyArticle:
      headline:Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man
      description:The steady-state basal plasma glucose and insulin concentrations are determined by their interaction in a feedback loop. A computer-solved model has been used to predict the homeostatic concentrations which arise from varying degrees of β-cell deficiency and insulin resistance. Comparison of a patient's fasting values with the model's predictions allows a quantitative assessment of the contributions of insulin resistance and deficient β-cell function to the fasting hyperglycaemia (homeostasis model assessment, HOMA). The accuracy and precision of the estimate have been determined by comparison with independent measures of insulin resistance and β-cell function using hyperglycaemic and euglycaemic clamps and an intravenous glucose tolerance test. The estimate of insulin resistance obtained by homeostasis model assessment correlated with estimates obtained by use of the euglycaemic clamp (Rs = 0.88, p < 0.0001), the fasting insulin concentration (Rs = 0.81, p < 0.0001), and the hyperglycaemic clamp, (Rs = 0.69, p < 0.01). There was no correlation with any aspect of insulin-receptor binding. The estimate of deficient β-cell function obtained by homeostasis model assessment correlated with that derived using the hyperglycaemic clamp (Rs = 0.61, p < 0.01) and with the estimate from the intravenous glucose tolerance test (Rs = 0.64, p < 0.05). The low precision of the estimates from the model (coefficients of variation: 31% for insulin resistance and 32% for β-cell deficit) limits its use, but the correlation of the model's estimates with patient data accords with the hypothesis that basal glucose and insulin interactions are largely determined by a simple feed back loop.
      datePublished:
      dateModified:
      pageStart:412
      pageEnd:419
      sameAs:https://doi.org/10.1007/BF00280883
      keywords:
         β-cell function
         insulin resistance
         mathematical model
         intravenous glucose tolerance test
         glucose clamp
         insulin receptors
         Type 2 diabetes
         insulin
         glucose
         Internal Medicine
         Metabolic Diseases
         Human Physiology
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