Literature DB >> 11895469

Blood glucose pre-prandial baseline decreases from morning to evening in type 2 diabetes: role of fasting blood glucose and influence on post-prandial excursions.

M Trovati1, M C Ponziani, P Massucco, G Anfossi, E M Mularoni, S Burzacca, F Tassone, P Perna, M Traversa, F Cavalot.   

Abstract

BACKGROUND: To know the relationships between pre- and postprandial blood glucose (BG), i.e. BG profile shape, is a requisite for an appropriate therapy for type 2 diabetic patients. In non diabetic subjects, pre-breakfast, pre-lunch and pre-dinner BG are similar, so that BG postprandial excursions are superimposed on a stable BG preprandial baseline. We aimed to clarify: (a) whether BG preprandial baseline is stable also in type 2 diabetes and (b) whether fasting BG (FBG) influences the slope of BG preprandial baseline and the relationships between pre- and postprandial BG.
DESIGN: We evaluated self-measured BG profiles of 237 type 2 diabetic patients on diet alone (M/F, 152/85; age 58.6 +/- 0.7 years; years from diagnosis 4.8 +/- 0.6; BMI 28.0 +/- 0.3 kg m-2): 536 profiles containing preprandial BG (corresponding HbA1c 6.8 +/- 0.06%) and 208 profiles containing both pre- and postprandial BG (corresponding HbA1c 6.8 +/- 0.09%). The profiles, measured by nurses, of 866 type 2 diabetic patients on diet alone were also considered (corresponding HbA1c 6.7 +/- 0.04%).
RESULTS: In self-measured profiles containing only preprandial BG: (i) FBG (6.77 +/- 0.07 mmol L(-1)) is higher than pre-lunch BG (6.09 +/- 0.07 mmol L(-1)), P = 0.0001) and pre-dinner BG (5.84 +/- 0.06 mmol L(-1)), P =0.0001); (ii) the delta value between FBG and pre-dinner BG is correlated with FBG (r = 0.57, P = 0.0001), the highest FBG, the steepest the fall of BG preprandial baseline throughout the day. This trend is confirmed in profiles measured by nurses. In profiles containing both pre- and postprandial BG: (i) there is a trend to preprandial BG fall (P = 0.0001) and to postprandial BG increase (P = 0.0001) from morning to evening; (ii) postprandial excursions are influenced and sometimes masked by the slope of BG preprandial baseline, thus, in profiles with FBG < or = 6.7 mmol L(-1), all postprandial values are higher than FBG (P = 0.0001), whereas in profiles with FBG > 7.8 mmol L(-1), postprandial values are not significantly higher than FBG.
CONCLUSION: In type 2 diabetes, the shape of BG profiles changes in relation to FBG, because it deeply influences the slope of BG preprandial baseline on which postprandial excursions are superimposed. Thus, before planning treatment policies, not only the extent of fasting and postprandial hyperglycaemia, but also the shape of profiles should be considered, to safely correct hyperglycaemia without inducing hypoglycaemia.

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Year:  2002        PMID: 11895469     DOI: 10.1046/j.1365-2362.2002.00965.x

Source DB:  PubMed          Journal:  Eur J Clin Invest        ISSN: 0014-2972            Impact factor:   4.686


  4 in total

1.  Fasting and post-prandial glycemia and their correlation with glycated hemoglobin in Type 2 diabetes.

Authors:  M Monami; C Lamanna; L Lambertucci; R Longo; C Cocca; F Addante; E Lotti; G Masotti; N Marchionni; E Mannucci
Journal:  J Endocrinol Invest       Date:  2006 Jul-Aug       Impact factor: 4.256

2.  An assessment of patient behavior over time-periods: a case study of managing type 2 diabetes through blood glucose readings and insulin doses.

Authors:  Josephine Namayanja; Vandana P Janeja
Journal:  J Med Syst       Date:  2012-10-27       Impact factor: 4.460

3.  Postprandial blood glucose predicts cardiovascular events and all-cause mortality in type 2 diabetes in a 14-year follow-up: lessons from the San Luigi Gonzaga Diabetes Study.

Authors:  Franco Cavalot; Andrea Pagliarino; Manuela Valle; Leonardo Di Martino; Katia Bonomo; Paola Massucco; Giovanni Anfossi; Mariella Trovati
Journal:  Diabetes Care       Date:  2011-10       Impact factor: 19.112

4.  An autosome-wide search using longitudinal data for loci linked to type 2 diabetes progression.

Authors:  Gyungah Jun; Yeunjoo Song; Catherine M Stein; Sudha K Iyengar
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

  4 in total

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