Abstract

The proposed three year study intends to examine Insulin Dependent Diabetes Mellitus (IDDM) as a generator of a recurrent dysfunction process that can be characterized by a loop that includes dysregulated biological and behavioral factors, blood glucose (BG) irregularity, severe hypoglycemia (SH) and high glycosylated hemoglobin, and irregular bio-behavioral parameters. This interdisciplinary study will create individual assessment protocols, advanced data analysis methods, and simple to read standardized output for evaluation of biological and behavioral irregularity factors associated with IDDM. Phase 1 will focus on modeling of biologic and behavioral factors, their interaction and contributions to extreme BG irregularity. Phase 2 will create individual protocols for assessment of dysregulated factors, designing non-standard advanced data analysis algorithms and software. Phase 3 will validate these protocols using data from ongoing studies at the University of Virginia, the Joslin Diabetes Center, and Amylin Pharmaceuticals.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK051562-05
Application #
6178012
Study Section
Behavioral Medicine Study Section (BEM)
Program Officer
Garfield, Sanford A
Project Start
1996-07-24
Project End
2001-06-30
Budget Start
2000-07-01
Budget End
2001-06-30
Support Year
5
Fiscal Year
2000
Total Cost
$73,863
Indirect Cost

  Institution

Name
University of Virginia
Department
Psychiatry
Type
Schools of Medicine
DUNS #
001910777
City
Charlottesville
State
VA
Country
United States
Zip Code
22904

  Publications

Kovatchev, Boris P (2017) Metrics for glycaemic control - from HbA1c to continuous glucose monitoring. Nat Rev Endocrinol 13:425-436
Kovatchev, Boris; Cobelli, Claudio (2016) Glucose Variability: Timing, Risk Analysis, and Relationship to Hypoglycemia in Diabetes. Diabetes Care 39:502-10
Kovatchev, Boris P; Breton, Marc D (2015) Hemoglobin A1c and Self-Monitored Average Glucose: Validation of the Dynamical Tracking eA1c Algorithm in Type 1 Diabetes. J Diabetes Sci Technol 10:330-5
Kovatchev, Boris P (2015) Measures of Risk and Glucose Variability in Adults Versus Youths. Diabetes Technol Ther 17:766-9
Kovatchev, Boris P; Patek, Stephen D; Ortiz, Edward Andrew et al. (2015) Assessing sensor accuracy for non-adjunct use of continuous glucose monitoring. Diabetes Technol Ther 17:177-86
Fabris, Chiara; Patek, Stephen D; Breton, Marc D (2015) Are Risk Indices Derived From CGM Interchangeable With SMBG-Based Indices? J Diabetes Sci Technol 10:50-9
Lv, Dayu; Kulkarni, Sandip D; Chan, Alice et al. (2015) Pharmacokinetic Model of the Transport of Fast-Acting Insulin From the Subcutaneous and Intradermal Spaces to Blood. J Diabetes Sci Technol 9:831-40
Lv, Dayu; Breton, Marc D; Farhy, Leon S (2013) Pharmacokinetics modeling of exogenous glucagon in type 1 diabetes mellitus patients. Diabetes Technol Ther 15:935-41
Farhy, Leon S; Chan, Alice; Breton, Marc D et al. (2012) Association of Basal hyperglucagonemia with impaired glucagon counterregulation in type 1 diabetes. Front Physiol 3:40
Chan, A; Barrett, E J; Anderson, S M et al. (2012) Muscle microvascular recruitment predicts insulin sensitivity in middle-aged patients with type 1 diabetes mellitus. Diabetologia 55:729-36

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