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SUN-146 Glucose Clearance (GLCL) Using Continuous Glucose Monitoring (CGM)

CGM is a useful tool in Type 1diabetes management. Its use reduces the frequency of insulin induced hypoglycemia and improves A1c values. Differences between venous, plasma, and interstitial fluid glucose values and “drift” in factory calibrated CGM sensors have rendered difficult quantifying glucos...

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Autor principal: Melish, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Endocrine Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553233/
http://dx.doi.org/10.1210/js.2019-SUN-146
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author Melish, John
author_facet Melish, John
author_sort Melish, John
collection PubMed
description CGM is a useful tool in Type 1diabetes management. Its use reduces the frequency of insulin induced hypoglycemia and improves A1c values. Differences between venous, plasma, and interstitial fluid glucose values and “drift” in factory calibrated CGM sensors have rendered difficult quantifying glucose appearance and disappearance by CGM. This study applies a pharmacokinetic model to calculate GLCL. It assesses insulin responses to individual meals in a Type 2 diabetic patient weighing 79.1 kg treated exclusively with pre-meal Humalog and basal insulin Lantus. Method: The data included a standard breakfast of oatmeal, strawberries, blueberries, and cottage cheese (40 g available CHO, 15.5 g protein, 1.0 g fat) preceded by Humalog insulin administered by pen device 20-30 minutes prior to ingesting the breakfast. The “factory calibrated” FreeStyleLibre CGM determined the pre- and post-meal glucose concentration (return to baseline) revealing time (T) needed for meal-related glucose disposal. A “Volume of distribution” (Vd) was calculated as 15% kg body weight (interstitial fluid space) and the disappearance time (T) = duration of the rise and return to baseline of the glucose concentration. GLCL = Vd*Fd, where (Fd = 1/T). Vd = 133 dL. Because the interstitial fluid CGM values are reported as blood glucose values, the Vd was multiplied by 1.12 assuming a 12% difference between plasma and blood glucose values. Results: As expected, GLCL of the study breakfast depended on the pre-meal timing of the insulin bolus, the amount of insulin administered, and post-meal activity. It accounted for all of the post-hepatic glucose generated by the meal. The average of 9 such breakfasts: Average T = 293+/- 48 minutes; Vd = 133 dL; GLCL = 49 +/- 12 mL/min; GLCL/unit insulin = 4.19 +/- 1.03 mL/(min*unit insulin). CHO ingested/Insulin = 3397 +/- mg/unit. Post meal exercise increased GLCL. Conclusion: Calculating a GLCL adds a quantitative value to CGM that is useful in assessing glucose/insulin response to a known meal . It is specific to the individual patient. It only involves the time interval from baseline rise and return, kg body weight, and determination of corrected Vd. It is not influenced in a major way by drifting baseline values. It accounts for all the post-hepatic glucose appearance generated by the meal including concurrent glycogenolysis and gluconeogenesis. The clearance value was used to understand the timing and amount of insulin for the meal as well as the impact of exercise on mealtime insulin response . The GLCL/insulin ratio can be applied to any meal without carbohydrate counting.
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spelling pubmed-65532332019-06-13 SUN-146 Glucose Clearance (GLCL) Using Continuous Glucose Monitoring (CGM) Melish, John J Endocr Soc Diabetes Mellitus and Glucose Metabolism CGM is a useful tool in Type 1diabetes management. Its use reduces the frequency of insulin induced hypoglycemia and improves A1c values. Differences between venous, plasma, and interstitial fluid glucose values and “drift” in factory calibrated CGM sensors have rendered difficult quantifying glucose appearance and disappearance by CGM. This study applies a pharmacokinetic model to calculate GLCL. It assesses insulin responses to individual meals in a Type 2 diabetic patient weighing 79.1 kg treated exclusively with pre-meal Humalog and basal insulin Lantus. Method: The data included a standard breakfast of oatmeal, strawberries, blueberries, and cottage cheese (40 g available CHO, 15.5 g protein, 1.0 g fat) preceded by Humalog insulin administered by pen device 20-30 minutes prior to ingesting the breakfast. The “factory calibrated” FreeStyleLibre CGM determined the pre- and post-meal glucose concentration (return to baseline) revealing time (T) needed for meal-related glucose disposal. A “Volume of distribution” (Vd) was calculated as 15% kg body weight (interstitial fluid space) and the disappearance time (T) = duration of the rise and return to baseline of the glucose concentration. GLCL = Vd*Fd, where (Fd = 1/T). Vd = 133 dL. Because the interstitial fluid CGM values are reported as blood glucose values, the Vd was multiplied by 1.12 assuming a 12% difference between plasma and blood glucose values. Results: As expected, GLCL of the study breakfast depended on the pre-meal timing of the insulin bolus, the amount of insulin administered, and post-meal activity. It accounted for all of the post-hepatic glucose generated by the meal. The average of 9 such breakfasts: Average T = 293+/- 48 minutes; Vd = 133 dL; GLCL = 49 +/- 12 mL/min; GLCL/unit insulin = 4.19 +/- 1.03 mL/(min*unit insulin). CHO ingested/Insulin = 3397 +/- mg/unit. Post meal exercise increased GLCL. Conclusion: Calculating a GLCL adds a quantitative value to CGM that is useful in assessing glucose/insulin response to a known meal . It is specific to the individual patient. It only involves the time interval from baseline rise and return, kg body weight, and determination of corrected Vd. It is not influenced in a major way by drifting baseline values. It accounts for all the post-hepatic glucose appearance generated by the meal including concurrent glycogenolysis and gluconeogenesis. The clearance value was used to understand the timing and amount of insulin for the meal as well as the impact of exercise on mealtime insulin response . The GLCL/insulin ratio can be applied to any meal without carbohydrate counting. Endocrine Society 2019-04-30 /pmc/articles/PMC6553233/ http://dx.doi.org/10.1210/js.2019-SUN-146 Text en Copyright © 2019 Endocrine Society https://creativecommons.org/licenses/by-nc-nd/4.0/ This article has been published under the terms of the Creative Commons Attribution Non-Commercial, No-Derivatives License (CC BY-NC-ND; https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Diabetes Mellitus and Glucose Metabolism
Melish, John
SUN-146 Glucose Clearance (GLCL) Using Continuous Glucose Monitoring (CGM)
title SUN-146 Glucose Clearance (GLCL) Using Continuous Glucose Monitoring (CGM)
title_full SUN-146 Glucose Clearance (GLCL) Using Continuous Glucose Monitoring (CGM)
title_fullStr SUN-146 Glucose Clearance (GLCL) Using Continuous Glucose Monitoring (CGM)
title_full_unstemmed SUN-146 Glucose Clearance (GLCL) Using Continuous Glucose Monitoring (CGM)
title_short SUN-146 Glucose Clearance (GLCL) Using Continuous Glucose Monitoring (CGM)
title_sort sun-146 glucose clearance (glcl) using continuous glucose monitoring (cgm)
topic Diabetes Mellitus and Glucose Metabolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6553233/
http://dx.doi.org/10.1210/js.2019-SUN-146
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