Literature DB >> 23176177

Assessment of postprandial glucose excursions throughout the day in newly diagnosed type 2 diabetes.

Simon Lebech Cichosz1, Jesper Fleischer, Pernille Hoeyem, Esben Laugesen, Per Loegstrup Poulsen, Jens Sandahl Christiansen, Niels Ejskjaer, Troels Krarup Hansen.   

Abstract

BACKGROUND: A growing body of evidence suggests that postprandial glucose (PPG) is independently linked to multiple complications and that testing of PPG should be added to hemoglobin A1c (HbA1c) and fasting glucose measurements in the evaluation of glycemic control of type 2 diabetes patients. An ongoing debate is questioning how to assess PPG. This observational study looks further into this question in a cohort of newly diagnosed type 2 diabetes patients. SUBJECTS AND METHODS: PPG characteristics and intra-/intersubject variations post-breakfast, -lunch, and -dinner, obtained from continuous glucose monitoring (CGM), were retrospectively analyzed in 86 newly diagnosed non-insulin-treated type 2 diabetes patients.
RESULTS: In total, 462 recorded meals were analyzed. The area under the curve 1-4 h postmeal was significantly larger after breakfast compared with both lunch and dinner (P<0.001). Time to peak was approximately 90 min and did not differ significantly between meals. However, the distribution of the blood glucose peaks was only normally distributed among breakfasts, and time to peak had a day-to-day correlation coefficient of 0.60, compared with a nonsignificant result for lunch and dinner. Breakfast PPG peaks were highly correlated to HbA1c (P<0.05, r=0.64) and had a day-to-day correlation coefficient of 0.86 compared with 0.44 for lunch and 0.74 for dinner.
CONCLUSIONS: Self-monitoring of blood PPG should be evaluated with care. From our data, monitoring of PPG patterns in newly diagnosed type 2 diabetes patients should preferably be obtained following breakfast for a more consistent assessment, reducing day-to-day variations.

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Year:  2012        PMID: 23176177     DOI: 10.1089/dia.2012.0199

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  11 in total

1.  Combining information of autonomic modulation and CGM measurements enables prediction and improves detection of spontaneous hypoglycemic events.

Authors:  Simon Lebech Cichosz; Jan Frystyk; Lise Tarnow; Jesper Fleischer
Journal:  J Diabetes Sci Technol       Date:  2014-09-12

2.  Blood glucose self-monitoring patterns in Mexican Americans: further lessons from the Starr County Border Health Initiative.

Authors:  Heather E Cuevas; Sharon A Brown; Alexandra A García; Mary Winter; Adama Brown; Craig L Hanis
Journal:  Diabetes Technol Ther       Date:  2014-10-07       Impact factor: 6.118

3.  Importance of Postprandial Glucose in Relation to A1C and Cardiovascular Disease.

Authors:  Kenneth S Hershon; Barbara R Hirsch; Ola Odugbesan
Journal:  Clin Diabetes       Date:  2019-07

4.  A novel algorithm for prediction and detection of hypoglycemia based on continuous glucose monitoring and heart rate variability in patients with type 1 diabetes.

Authors:  Simon Lebech Cichosz; Jan Frystyk; Ole K Hejlesen; Lise Tarnow; Jesper Fleischer
Journal:  J Diabetes Sci Technol       Date:  2014-03-31

5.  How to Use Blockchain for Diabetes Health Care Data and Access Management: An Operational Concept.

Authors:  Simon Lebech Cichosz; Mads Nibe Stausholm; Thomas Kronborg; Peter Vestergaard; Ole Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2018-07-26

6.  Classification of Gastroparesis from Glycemic Variability in Type 1 Diabetes: A Proof-of-Concept Study.

Authors:  Simon Lebech Cichosz; Ole Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2021-05-15

7.  Association of lower body mass index with increased glycemic variability in patients with newly diagnosed type 2 diabetes: a cross-sectional study in China.

Authors:  Jian Wang; Rengna Yan; Juan Wen; Xiaocen Kong; Huiqin Li; Peihua Zhou; Honghong Zhu; Xiaofei Su; Jianhua Ma
Journal:  Oncotarget       Date:  2017-04-14

8.  Efficacy Comparison of Preprandial and Postprandial Prandilin 25 Administration in Patients with Newly Diagnosed Type 2 Diabetes Using a Continuous Glucose Monitoring System.

Authors:  Yong Luo; Wen-Ji Ni; B O Ding; Xiang-Hong Xu; Lei Ye; Jian-Hua Ma; Jian Zhu
Journal:  Diabetes Ther       Date:  2019-01-04       Impact factor: 2.945

9.  Prediabetes is associated with an increased risk of testosterone deficiency, independent of obesity and metabolic syndrome.

Authors:  Chen-Hsun Ho; Hong-Jeng Yu; Chih-Yuan Wang; Fu-Shan Jaw; Ju-Ton Hsieh; Wan-Chung Liao; Yeong-Shiau Pu; Shih-Ping Liu
Journal:  PLoS One       Date:  2013-09-12       Impact factor: 3.240

10.  Comparison of Efficacy and Economic Value of Prandilin 25 and Humalog Mix 25 in Patients with Newly Diagnosed Type 2 Diabetes by a Continuous Glucose Monitoring System.

Authors:  Yong Luo; Xue-Qin Wang; Wen-Ji Ni; Bo Ding; Xiang-Hong Xu; Lei Ye; Jian-Hua Ma; Jian Zhu
Journal:  Diabetes Ther       Date:  2018-09-22       Impact factor: 2.945

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