Use of automated bolus calculators for diabetes management

European Endocrinology

Volumn 9, Issue 2, 2013, Pages 92-95

  Schwartz, Frank L ^a   Marling, Cynthia R ^b  

^a OHIO UNIVERSITY   (United States)

^b US Institute of Navigation   (United States)

Author keywords

Automated bolus calculators; Blood glucose measurement; Continuous glucose monitoring; Glucose algorithms; Glycaemic control

Indexed keywords

GLUCOSE; HEMOGLOBIN A1C; INSULIN; INSULIN DETEMIR; INSULIN GLARGINE;

ANALYTICAL PARAMETERS; APPLICATION SERVICE PROVIDER; ARTICLE; AUTOMATED BOLUS CALCULATOR; AUTOMATION; BEDTIME DOSAGE; BLOOD GLUCOSE METER; BLOOD GLUCOSE MONITORING; CALCULATOR; CALIBRATION; CARBOHYDRATE ANALYSIS; CARBOHYDRATE TO INSULIN RATIO; CLINICAL EFFECTIVENESS; COMPUTER PROGRAM; DECISION SUPPORT SYSTEM; DIABETES CONTROL; DIABETES EDUCATION; DIABETES MELLITUS; DOSE CALCULATION; DRUG DELIVERY DEVICE; EVENING DOSAGE; GLUCOSE BLOOD LEVEL; GLYCEMIC CONTROL; HUMAN; INSULIN PUMP; INSULIN RESISTANCE; INSULIN SENSITIVITY; INSULIN TREATMENT; OUTCOME ASSESSMENT; PATIENT CARE; PATIENT SATISFACTION; QUALITY OF LIFE; SELF CARE; STOMACH EMPTYING;

EID: 84886620729     PISSN: 17583772     EISSN: 17583780     Source Type: Journal    
DOI: 10.17925/ee.2013.09.02.92     Document Type: Article

References (58)

1. Nathan DM. The rationale for glucose control in diabetes mellitus, Endocrinol Metab Clin North Am, 1992;21:221-235.
2. The Diabetes Control and Complication Group. The effect of intensive treatment of diabetes on the developement and progression of long-term complications in insulin dependent diabetes mellitus, N Engl J Med, 1993;329:977-866.
3. The Diabetes Control and Complications Trial. The effect of intensive treatment on progression of diabetic retinopathy in insulin dependent diabetes mellitus, Arch Opthalmol, 1995;113:113-336.
4. Microalbuminuria Collaborativ Study Group, United Kingdom. Intensive therapy and progression to clinical albuminuria in patients with insulin dependent diabetes mellitus and microalbuminuria, BMJ, 1995;311:973-7.
5. Gross TM, Kayne D, King A, et al., A bolus calculator is an effective means of controlling postprandial glycemia in patients on insulin pump therapy, Diabetes Technol Ther, 2003;5:365-9.
6. Zisser H, Robinson L, Bevier W, et al. Bolus calculator: a review of four "smart" insulin pumps, Diabetes Technol Ther, 2008;10:441-4.
7. Ceimins EC, Sorli E. An analysis of data management tools for diabetes management: can smart phone technology keep up?, J Diabetes Sci Technol, 2010; 6:958-60.
8. Cryer PE. Hypoglycemia: still the limiting factor in the glycemic management of diabetes, Endocr Pract, 2008;14: 750-6.
9. Cryer PE. The barrier of hypoglycemia in diabetes, Diabetes, 2008; 57: 3169-76.
10. Ali MK, Bullard KM, Saaddine JB, et al. Achievement of goals in U.S. diabetes care, 1999-2010, N Engl J Med, 2013;368:1613-24.
11. Grant RW, Meigs JB. Overcoming barriers to evidence-based diabetes care, Curr Diabetes Rev, 2006;2:261-9.
12. Nam S, Chesla C, Stotts NA, et al. Barriers to diabetes management: patient and provider factors, Diabetes Res Clin Pract, 2011;93:1-9.
13. Schwartz FL, Guo A, Marling CR, Shubrook JH. Analysis of use of an automated bolus calculator reduces fear of hypoglycemia and improves confidence in dosage accuracy in type 1 diabetes mellitus patients treated with multiple daily insulin injections, J Diabetes Sci Technol,2012;6:150-2.
14. Schwartz FL, Shubrook JH, Marling CR. Use of case-based reasoning to enhance intensive management of patients on insulin pump therapy, J Diabetes Sci Technol, 2008;2:603-11.
15. Phillips LS, Branch WT, Cook CB, et al. Clinical inertia, Ann Intern Med, 2001;135:825-34.
16. Shashaj B, Busetto E, Sulli N. Benefits of a bolus calculator in pre- and postprandial glycaemic control and meal flexibility of paediatric patients using continuous subcutaneous insulin infusion (CSII), Diabet Med, 2008;25:1036-42.
17. Glaser NS. Iden SB, Green-Burgeson D, et al. Benefits of an insulin dosage calculation device for adolescents with type 1 diabetes mellitus, J Pediatr Endocrinol Metab, 2004;17:1641-51.
18. Ramotowska A, Golicki D, Dzygalo K, Szypowska A. The effect of using the insulin pump bolus calculator compared to standard insulin dosage calculations in patients with type 1 diabetes mellitus - systematic review, Exp Clin Endocrinol Diabetes, 2013;121:248-54.
19. Blazik M, Pankowska E. The effect of bolus and food calculator Diabetics on glucose variability in children with type 1 diabetes treated with insulin pump: the results of RCT, Pediatr Diabetes, 2012; 13: 534-9.
20. Schmidt S, Meldgaard M, Serifovski N, et al. Use of an automated bolus calculator in MDI-treated type 1 diabetes: the BolusCal Study, a randomized controlled pilot study, Diabetes Care, 2012;35:984-90.
21. Steil GM, Reifman J. Mathematical modeling research to support the development of automated insulin-delivery systems, J Diabetes Sci Technol, 2009;3:388-95.
22. Wilinska ME, Chassin LJ, Schaller HC, et al. Insulin kinetics in type-I diabetes: continuous and bolus delivery of rapid acting insulin, IEEE Trans Biomed Eng, 2005;52:3-12.
23. Percival MW, Bevier WC, Wang Y, et al. Modeling the effects of subcutaneous insulin administration and carbohydrate consumption on blood glucose, J Diabetes Sci Technol, 2010;4:1214-28.
24. Bequette BW. Glucose clamp algorithms and insulin timeaction profiles, J Diabetes Sci Technol, 2009;3:1005-13.
25. Walsh JAR, ed, Pumping Insulin, 2013, Torry Pines Press, San Diego (CA).
26. Chase HP, Saib SZ, MacKenzie T, et al. Post-prandial glucose excursions following four methods of bolus insulin administration in subjects with type 1 diabetes, Diabet Med, 2002;19:317-21.
27. Walsh J, Roberts R, Bailey T. Guidelines for optimal bolus calculator settings in adults, J Diabetes Sci Technol, 2011;5:129-35.
28. Revert A, Calm R, Vehi J, Bondia J. Calculation of the best basal-bolus combination for postprandial glucose control in insulin pump therapy, IEEE Trans Biomed Eng, 2011;58:274-281.
29. Enander R, Gundevall C, Stromgren A, et al. Carbohydrate counting with a bolus calculator improves post-prandial blood glucose levels in children and adolescents with type 1 diabetes using insulin pumps, Pediatr Diabetes, 2012;13:545-51.
30. Lepore G, Dodesini AR, Nosari I, et al. Bolus calculator improves long-term metabolic control and reduces glucose variability in pump-treated patients with Type 1 diabetes, Nutr Metab Cardiovasc Dis, 2012; 22:e15-16.
31. Colin IM, Paris I. Glucose meters with built-in automated bolus calculator: gadget or real value for insulin-treated diabetic patients?, Diabetes Ther, 2013;4:1-11.
32. Sussman A, Taylor EJ, Patel M, et al. Performance of a glucose meter with a built-in automated bolus calculator versus manual bolus calculation in insulin-using subjects, J Diabetes Sci Technol, 2012;6:339-44.
33. Rossetti P, Vehi J, Revert A, et al. Commentary on "Performance of a glucose meter with a built-in automated bolus calculator versus manual bolus calculation in insulin-using subjects", J Diabetes Sci Technol, 2012;6:345-7.
34. Cavanaugh K, Huizinga MM, Wallston KA, et al. Association of numeracy and diabetes control, Ann Intern Med, 2008;148:737-46.
35. Rothman RL, Housam R, Weiss H, et al. Patient understanding of food labels: the role of literacy and numeracy, Am J Prev Med, 2006;31:391-8.
36. Huizinga MM, Elasy TA, Wallston KA, et al. Development and validation of the Diabetes Numeracy Test (DNT), BMC Health Serv Res, 2006;8:96.
37. Spiegel G, Bortsov A, Bishop FK, et al.Randomized nutrition education intervention to improve carbohydrate counting in adolescents with type 1 diabetes study: is more intensive education needed?, J Acad Nutr Diet, 2012;112:1736-46.
38. Brazeau AS, Mircescu H, Desjardins K, et al. Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes, Diabetes Res Clin Pract, 2013;99:19-23.
39. Lodefalk M, Aman J, Bang P, et al. Effects of fat supplementation on glycaemic response and gastric emptying in adolescents with Type 1 diabetes, Diabet Med, 2008;25:1030-5.
40. Gentilcore D, Chaikomin R, Jones KL, et al. Effects of fat on gastric emptying of and the glycemic, insulin, and incretin responses to a carbohydrate meal in type 2 diabetes, J Clin Endocrinol Metab, 2006;91:2062-7.
41. Rebrin K, Steil GM, Mittelman SD, Bergman RN. Causal linkage between insulin suppression of lipolysis and suppression of liver glucose output in dogs, J Clin Invest, 1996;98:741-9.
42. Bajaj M, Suraamornkul S, Kashyap S, et al. Sustained reduction in plasma free fatty acid concentration improves insulin action without altering plasma adipocytokine levels in subjects with strong family history of type 2 diabetes, J Clin Endocrinol Metab, 2004;89:4649-55.
43. Wolpert HA, Atakov-Castillo A, Smith SA, Steil GM. Dietary fat acutely increases glucose concentrations and insulin requirements in patients with type 1 diabetes: implications for carbohydrate-based bolus dose calculation and intensive diabetes management, Diabetes Care, 2013;36:810-6.
44. Marling C, Shubrook J, Miller W, et al. Intelligent decision support software for Type 1 diabetics on insulin pump therapy, presented at the American Diabetes Association 67th Scientific Sessions, June 22-26, 2007, Chicago, IL, US, PO 2087.
45. Gomis R, Storms F, Conget I, et al. Improving metabolic control in sub-optimally controlled subjects with Type 1 diabetes: comparison of two treatment algorithms using insulin glargine, Diabetes Res Clin Pract, 2007;77:84-91.
46. Skyler JS, Skyler DL, Seigler DE, O'Sullivan MJ. Algorithms for adjustment of insulin dosage by patients who monitor blood glucose, Diabetes Care, 1981;4:311-8.
47. Riddle MC, Rosenstock J, Gerich J. The treat-to-target trial: randomized addition of glargine or human NPH insulin to oral therapy of type 2 diabetic patients, Diabetes Care, 2003;26:3080-6.
48. Yki-Jarvinen H, Kauppinen-Makelin R, Tiikkainen M. Insulin glargine or NPH combined with metformin in type 2 diabetes: the LANMET study, Diabetologia, 2006;49:442-51.
49. Davies M, Storms F, Shutler S, et al. Improvement of glycemic control in subjects with poorly controlled type 2 diabetes: comparison of two treatment algorithms using insulin glargine, Diabetes Care, 2005;28:1282-8.
50. Klonoff DC. The current status of bolus calculator decisionsupport software, J Diabetes Sci Technol, 2012;6:990-4.
51. Bergenstal RM, Tamborlane WV, Ahmann A. Effectiveness of sensor-augmented insulin-pump therapy in type 1 diabetes, N Engl J Med, 2010;363:311-20.
52. Halvorson M, Carpenter S, Kaiserman K, Kaufman FR. A pilot trial in pediatrics with the sensor-augmented pump: combining real-time continuous glucose monitoring with the insulin pump, J Pediatr, 2007;150:103-105 e101.
53. Rossetti P, Ampudia-Blasco FJ, Laguna A, et al. Evaluation of a novel continuous glucose monitoring-based method for mealtime insulin dosing--the iBolus--in subjects with type 1 diabetes using continuous subcutaneous insulin infusion therapy: a randomized controlled trial, Diabetes Technol Ther, 2012;14:1043-52.
54. Breton M, Farret A, Bruttomesso D, et al.Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia, Diabetes, 2012;61:2230-7.
55. Beck RW, Calhoun P, Kollman C. Challenges for outpatient closed loop studies: how to assess efficacy, Diabetes Technol Ther, 2013;15:1-3.
56. Kovatchev BP, Renard E, Cobelli C, et al. Feasibility of outpatient fully integrated closed-loop control: first studies of wearable artificial pancreas, Diabetes Care, 2013;36:1851-8.
57. Schwartz FL, Vernier SJ, Shubrook JH, Marling CR. Evaluating the automated blood glucose pattern detection and caseretrieval modules of the 4 Diabetes Support System, J Diabetes Sci Technol, 2010;4:1563-9.
58. Katz LB, Dirani RG, Li G, et al. Automated glycemic pattern analysis can improve health care professional efficiency and accuracy, J Diabetes Sci Technol, 2013;7:163-6.