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Fasting and Postprandial Hyperglycemia: Their Predictors and Contributions to Overall Hyperglycemia in Korean Patients with Type 2 Diabetes

BACKGROUND: This study aimed to identify factors that affect fasting hyperglycemia (FHG) and postprandial hyperglycemia (PPG) and their contributions to overall hyperglycemia in Korean patients with type 2 diabetes mellitus (T2DM). METHODS: This was a retrospective study conducted on 194 Korean T2DM...

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Autores principales: Moon, Jaecheol, Kim, Ji Young, Yoo, Soyeon, Koh, Gwanpyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Endocrine Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386123/
https://www.ncbi.nlm.nih.gov/pubmed/32615713
http://dx.doi.org/10.3803/EnM.2020.35.2.290
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author Moon, Jaecheol
Kim, Ji Young
Yoo, Soyeon
Koh, Gwanpyo
author_facet Moon, Jaecheol
Kim, Ji Young
Yoo, Soyeon
Koh, Gwanpyo
author_sort Moon, Jaecheol
collection PubMed
description BACKGROUND: This study aimed to identify factors that affect fasting hyperglycemia (FHG) and postprandial hyperglycemia (PPG) and their contributions to overall hyperglycemia in Korean patients with type 2 diabetes mellitus (T2DM). METHODS: This was a retrospective study conducted on 194 Korean T2DM patients with 7-point self-monitoring blood glucose (SMBG) profiles plotted in 4 days in 3 consecutive months. We calculated the areas corresponding to FHG and PPG (area under the curve [AUC](FHG) and AUC(PPG)) and contributions (%) in the graph of the 7-point SMBG data. The levels of glycated hemoglobin (HbA1c) were categorized by tertiles, and the contributions of FHG and PPG were compared. RESULTS: The relative contribution of FHG increased (44.7%±5.6%, 58.0%±4.4%, 66.5%±2.8%; PANOVA=0.002, PTREND <0.001), while that of PPG decreased (55.3%±5.5%, 42.0%±4.4%, 33.5%±2.8%; PANOVA=0.002, PTREND <0.001) with the elevated HbA1c. Multivariate analysis showed that HbA1c (β=0.615, P<0.001), waist circumference (β=0.216, P=0.042), and triglyceride (β=0.121, P=0.048) had a significant association with AUC(FHG). Only HbA1c (β=0.231, P=0.002) and age (β=0.196, P=0.009) was significantly associated with AUC(PPG). CONCLUSION: The data suggested that in Korean T2DM patients, FHG predominantly contributed to overall hyperglycemia at higher HbA1c levels, whereas it contributed to PPG at lower HbA1c levels. It is recommended that certain factors, namely age, degree of glycemic control, obesity, or triglyceride levels, should be considered when prescribing medications for T2DM patients.
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spelling pubmed-73861232020-07-29 Fasting and Postprandial Hyperglycemia: Their Predictors and Contributions to Overall Hyperglycemia in Korean Patients with Type 2 Diabetes Moon, Jaecheol Kim, Ji Young Yoo, Soyeon Koh, Gwanpyo Endocrinol Metab (Seoul) Original Article BACKGROUND: This study aimed to identify factors that affect fasting hyperglycemia (FHG) and postprandial hyperglycemia (PPG) and their contributions to overall hyperglycemia in Korean patients with type 2 diabetes mellitus (T2DM). METHODS: This was a retrospective study conducted on 194 Korean T2DM patients with 7-point self-monitoring blood glucose (SMBG) profiles plotted in 4 days in 3 consecutive months. We calculated the areas corresponding to FHG and PPG (area under the curve [AUC](FHG) and AUC(PPG)) and contributions (%) in the graph of the 7-point SMBG data. The levels of glycated hemoglobin (HbA1c) were categorized by tertiles, and the contributions of FHG and PPG were compared. RESULTS: The relative contribution of FHG increased (44.7%±5.6%, 58.0%±4.4%, 66.5%±2.8%; PANOVA=0.002, PTREND <0.001), while that of PPG decreased (55.3%±5.5%, 42.0%±4.4%, 33.5%±2.8%; PANOVA=0.002, PTREND <0.001) with the elevated HbA1c. Multivariate analysis showed that HbA1c (β=0.615, P<0.001), waist circumference (β=0.216, P=0.042), and triglyceride (β=0.121, P=0.048) had a significant association with AUC(FHG). Only HbA1c (β=0.231, P=0.002) and age (β=0.196, P=0.009) was significantly associated with AUC(PPG). CONCLUSION: The data suggested that in Korean T2DM patients, FHG predominantly contributed to overall hyperglycemia at higher HbA1c levels, whereas it contributed to PPG at lower HbA1c levels. It is recommended that certain factors, namely age, degree of glycemic control, obesity, or triglyceride levels, should be considered when prescribing medications for T2DM patients. Korean Endocrine Society 2020-06 2020-06-30 /pmc/articles/PMC7386123/ /pubmed/32615713 http://dx.doi.org/10.3803/EnM.2020.35.2.290 Text en Copyright © 2020 Korean Endocrine Society This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Moon, Jaecheol
Kim, Ji Young
Yoo, Soyeon
Koh, Gwanpyo
Fasting and Postprandial Hyperglycemia: Their Predictors and Contributions to Overall Hyperglycemia in Korean Patients with Type 2 Diabetes
title Fasting and Postprandial Hyperglycemia: Their Predictors and Contributions to Overall Hyperglycemia in Korean Patients with Type 2 Diabetes
title_full Fasting and Postprandial Hyperglycemia: Their Predictors and Contributions to Overall Hyperglycemia in Korean Patients with Type 2 Diabetes
title_fullStr Fasting and Postprandial Hyperglycemia: Their Predictors and Contributions to Overall Hyperglycemia in Korean Patients with Type 2 Diabetes
title_full_unstemmed Fasting and Postprandial Hyperglycemia: Their Predictors and Contributions to Overall Hyperglycemia in Korean Patients with Type 2 Diabetes
title_short Fasting and Postprandial Hyperglycemia: Their Predictors and Contributions to Overall Hyperglycemia in Korean Patients with Type 2 Diabetes
title_sort fasting and postprandial hyperglycemia: their predictors and contributions to overall hyperglycemia in korean patients with type 2 diabetes
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386123/
https://www.ncbi.nlm.nih.gov/pubmed/32615713
http://dx.doi.org/10.3803/EnM.2020.35.2.290
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