Literature DB >> 15049959

Sources of glucose variability in insulin-treated type 2 diabetes: the Diabetes Outcomes in Veterans Study (DOVES).

Glen H Murata1, William C Duckworth, Jayendra H Shah, Christopher S Wendel, Richard M Hoffman.   

Abstract

OBJECTIVE: Glucose variability can be a significant barrier to glycaemic control for diabetic patients on insulin. The study identified clinical and behavioural factors associated with glucose variability in type 2 diabetes.
DESIGN: Observational study.
SUBJECTS: Randomly selected veterans with stable, insulin-treated type 2 diabetes. MEASUREMENTS: Baseline data included demographics, clinical characteristics, diet, activity and haemoglobin A1c. Subjects self-monitored blood glucose before all meals and at bedtime for 8 weeks. Monitoring data were used to derive an overall glucose mean and glucose coefficient of variation (100*SD/mean) for each subject. Univariate and multivariate analyses were used to evaluate the relationship between glucose coefficient of variation and clinical factors.
RESULTS: Two-hundred and four subjects completed the protocol. The 8-week mean (+/- SD) glucose was 9.9 +/- 2.2 mmol/l, and the average overall coefficient of variation was 35.6 +/- 7.7%. Univariate analysis showed a higher variation in older subjects and in those with longer duration of insulin treatment, greater consumption of sugars and greater confidence in their self-care abilities. Variation was lower in subjects who were obese, more compliant with medications and receiving larger insulin doses. Multivariate analysis showed that treatment duration, sugar consumption, medication compliance and insulin dose were independently associated with glucose variation. Medication compliance was more influential for fasting variation, while body mass index was more influential for before lunch variation.
CONCLUSIONS: Numerous behavioural, clinical and treatment factors were independently associated with glucose variability. Reducing sugar consumption and improving medication compliance might offset the greater glucose fluctuation observed in lean patients with longstanding diabetes.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15049959     DOI: 10.1111/j.1365-2265.2004.02001.x

Source DB:  PubMed          Journal:  Clin Endocrinol (Oxf)        ISSN: 0300-0664            Impact factor:   3.478


  17 in total

1.  The metrics of glycaemic control in critical care.

Authors:  Iain M J Mackenzie; Tony Whitehouse; Peter G Nightingale
Journal:  Intensive Care Med       Date:  2011-01-06       Impact factor: 17.440

2.  Setbacks in diet adherence and emotional distress: a study of older patients with type 2 diabetes and their spouses.

Authors:  Melissa M Franks; Rachel C Hemphill; Amber J Seidel; Mary Ann Parris Stephens; Karen S Rook; James K Salem
Journal:  Aging Ment Health       Date:  2012-04-26       Impact factor: 3.658

3.  Glycemic variability during algorithmic titration of insulin among hospitalized patients with type 2 diabetes and heart failure.

Authors:  Kathleen Dungan; Philip Binkley; Kwame Osei
Journal:  J Diabetes Complications       Date:  2015-09-21       Impact factor: 2.852

4.  Differential response between diabetes and stress-induced hyperglycaemia to algorithmic use of detemir and flexible mealtime aspart among stable postcardiac surgery patients requiring intravenous insulin.

Authors:  K Dungan; C Hall; D Schuster; K Osei
Journal:  Diabetes Obes Metab       Date:  2011-12       Impact factor: 6.577

Review 5.  Glycemic variability and glycemic control in the acutely ill cardiac patient.

Authors:  Jared Moore; Kathleen Dungan
Journal:  Heart Fail Clin       Date:  2012-08-09       Impact factor: 3.179

6.  Effect of the approach to insulin therapy on glycaemic fluctuations and autonomic tone in hospitalized patients with diabetes.

Authors:  K M Dungan; K Osei; C Sagrilla; P Binkley
Journal:  Diabetes Obes Metab       Date:  2013-02-17       Impact factor: 6.577

Review 7.  Common standards of basal insulin titration in type 2 diabetes.

Authors:  Sabine Arnolds; Tim Heise; Frank Flacke; Jochen Sieber
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

8.  The glycated albumin to glycated hemoglobin ratio might not be associated with carotid atherosclerosis in patients with type 1 diabetes.

Authors:  Wonjin Kim; Kwang Joon Kim; Byung-Wan Lee; Eun Seok Kang; Bong Soo Cha; Hyun Chul Lee
Journal:  Diabetes Metab J       Date:  2014-12-15       Impact factor: 5.376

9.  Glycemic variability correlates strongly with postprandial beta-cell dysfunction in a segment of type 2 diabetic patients using oral hypoglycemic agents.

Authors:  Klaus-Dieter Kohnert; Petra Augstein; Eckhard Zander; Peter Heinke; Karolina Peterson; Ernst-Joachim Freyse; Roman Hovorka; Eckhard Salzsieder
Journal:  Diabetes Care       Date:  2009-02-24       Impact factor: 19.112

10.  The cytotoxic role of intermittent high glucose on apoptosis and cell viability in pancreatic beta cells.

Authors:  Zhen Zhang; Jing Li; Lei Yang; Rongping Chen; Rui Yang; Hua Zhang; Dehong Cai; Hong Chen
Journal:  J Diabetes Res       Date:  2014-03-17       Impact factor: 4.011

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.