Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Systems, devices, and methods for alleviating glucotoxicity and restoring pancreatic beta-cell function in advanced diabetes mellitus

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Publication Date:
    August 15, 2023
  • معلومة اضافية
    • Patent Number:
      11723,592
    • Appl. No:
      16/817161
    • Application Filed:
      March 12, 2020
    • نبذة مختصرة :
      Systems, methods and/or devices for treating diabetes mellitus by alleviating glucotoxicity and restoring pancreatic beta-cell function, comprising at least a first memory for storing data inputs corresponding at least to one or more components in a patient's present insulin dosage regimen, and data inputs corresponding at least to the patient's blood-glucose-level measurements determined at a plurality of times, and a processor operatively connected to the at least first memory. The processor is programmed at least to determine from the data inputs corresponding to the patient's blood-glucose-level measurements determined at a plurality of times whether and by how much to vary at least one of the components of the patient's present insulin dosage regimen. Also disclosed are systems, methods, and/or devices for alleviating glucotoxicity and restoring pancreatic beta-cell function, comprising establishing the patient's current glycemic state relative to a desired glycemic range and determining from at least one of a plurality of the data corresponding to the patient's blood glucose-level measurements whether and by how much to adjust at least one of the components in the patient's present insulin dosage regimen.
    • Inventors:
      Hygieia, Inc. (Livonia, MI, US)
    • Assignees:
      Hygieia, Inc. (Livonia, MI, US)
    • Claim:
      1. A method for treating diabetes mellitus by alleviating glucotoxicity and/or restoring pancreatic beta-cell function in a patient, the method comprising: storing one or more components of the patient's insulin dosage regimen; drawing blood samples from the patient at a plurality of times; ascertaining the patient's blood glucose-level measurements in said blood samples; tagging each of said blood glucose-level measurements with an identifier reflective of when said measurement was obtained; establishing the patient's current glycemic state relative to a desired glycemic range; determining from the patient's blood glucose-level measurements if there have been an excessive number of hypoglycemic events over a predefined period of time, and to vary at least one of the one or more components in the patient's present insulin dosage regimen in response to a determination that there have been an excessive number of hypoglycemic events over the predefined period of time; determining from the patient's blood glucose-level measurements whether and by how much to adjust at least one component of the one or more components of the patient's present insulin dosage regimen to stay within said desired glycemic range and administer the lowest insulin dosage; adjusting the patient's insulin dosage regimen in accordance with said determination of whether to adjust said insulin dosage regimen by increasing, decreasing, or pausing the patient's dosage regimen to dampen or prevent unstable oscillations, wherein said adjustment weighs both A1C percentage and the number of hypoglycemic events within the predefined period of time in order to achieve an improved glycemic composite index, and the restoration of beta-cell function which reduces exogenous insulin reliance; and performing said steps of the method until the insulin dosage regimen required to stay within the desired glycemic range is lowered to a predetermined level.
    • Claim:
      2. An apparatus for alleviating glucotoxicity and/or restoring pancreatic beta-cell function in a patient over time, comprising: at least a first computer-readable memory for storing one or more components in a patient's present insulin dosage regimen and the patient's blood-glucose-level measurements determined at a plurality of times within a predefined period of time; at least one data input for obtaining data corresponding to the patient's blood glucose-level measurements determined at the plurality of times; a timer for monitoring the predetermined time period, the timer being incremented based on at least one of the passage of a predetermined increment of time and the receipt of at least one of the plurality of blood glucose-level measurements; at least one processor operatively connected to the at least first computer-readable memory, the processor programmed at least to: tag the plurality of blood glucose-level measurements with an identifier reflective of when the measurement was obtained; calculate, after obtaining one of the plurality of blood glucose-level measurements but before obtaining a subsequent blood glucose-level measurement, any deviation of the obtained blood glucose-level measurement from a desired glycemic range; adjust at least one of the one or more components in the patient's insulin dosage regimen in response to a determination that the most recently obtained blood glucose-level measurement was not within a desired glycemic range; wherein the timer is reinitiated after the determination that the most recently obtained blood glucose-level measurement was not within a desired glycemic range over the predefined period of time; determine, at the end of the predefined period of time, from a plurality of the data corresponding to the patient's blood glucose-level measurements, the variation of at least one of the one or more components in the patient's insulin dosage regimen that is necessary in order to maintain the patient's blood glucose-level measurements within a predefined range; reinitiate said timer after said adjustment and said determination; and repeatedly tag said measurements, calculate said deviation, adjust said at least one component, and determine said variation until the insulin dosage regimen required to stay within the desired glycemic range is lowered to a predetermined level.
    • Claim:
      3. A system for alleviating glucotoxicity and/or restoring pancreatic beta-cell function in a patient, the system comprising: at least one memory for storing data corresponding at least to one or more components of a patient's present insulin dosage regimen, and data corresponding at least to the patient's blood-glucose-level measurements measured at a plurality of times during a predetermined time period; and at least one processor operatively connected to the at least one memory, the at least one processor configured to: initiate a timer to monitor the predetermined time period; increment the timer based on at least one of the passage of a predetermined increment of time and the receipt of at least one of the plurality of blood glucose-level measurements; tag the plurality of blood glucose-level measurements with an identifier reflective of when the measurement was obtained; calculate, after obtaining one of the plurality of blood glucose-level measurements but before obtaining a subsequent blood glucose-level measurement, any deviation of the obtained blood glucose-level measurement from a desired glycemic range; adjust at least one of the one or more components in the patient's insulin dosage regimen in response to the determination that the most recently obtained blood glucose-level measurement was not within a desired glycemic range; wherein the timer is reinitiated after the determination that was not within a desired glycemic range; and determine, at the end of the predetermined time period, from a plurality of the data corresponding to the patient's blood glucose-level measurements whether and by how much to vary at least one of the one or more components in the patient's present insulin dosage regimen in order to maintain the patient's blood glucose level measurements within a predefined range; wherein the timer is reinitiated after the determination of whether and by how much to vary at least one of the one or more components in the patient's present insulin dosage regimen; and repeatedly increment said timer, tag said measurements, calculate said deviation, adjust said at least one component, and determine said variation until the insulin dosage regimen required to stay within the desired glycemic range is lowered to a predetermined level.
    • Claim:
      4. The system of claim 3 , wherein the data corresponding at least to the patient's blood-glucose-level measurements determined at a plurality of times are associated with an identifier indicative of when the measurement was input into the memory.
    • Claim:
      5. The system of claim 4 wherein the one or more components in the patient's present insulin dosage regimen comprise a long-acting insulin dosage component, and wherein the processor is programmed to determine from the identifier indicative of when a measurement was input into the memory at least whether the measurement is a morning or bed-time blood-glucose-level measurement, to determine whether the patient's morning and bed-time blood-glucose-level measurements fall within a predefined range, and to determine by how much to vary the patient's long-acting insulin dosage component only when the patient's morning and bed-time blood-glucose-level measurements are determined to fall outside of said desired glycemic range.
    • Claim:
      6. The system of claim 5 , wherein, in connection with the determination of by how much to vary at least one of the one or more components in the patient's present insulin dosage regimen, the at least one processor is programmed to factor in an insulin sensitivity correction factor that defines both the percentage by which any of the one or more components of the insulin dosage regimen may be varied and the direction in which any fractional variations in any of the one or more components are rounded to the nearest whole number.
    • Claim:
      7. The system of claim 6 , wherein the at least one memory further stores data corresponding to a patient's present weight, and wherein the insulin sensitivity correction factor is in part determined from the patient's present weight.
    • Claim:
      8. The system of claim 6 , wherein the determination of by how much to vary the long-acting insulin dosage component of a patient's present insulin dosage regimen is a function of the present long-acting insulin dosage, the insulin sensitivity correction factor, and the patient's blood-glucose-level measurements.
    • Claim:
      9. The system of claim 3 , wherein the processor is programmed to determine on a predefined schedule whether and by how much to vary at least one of the one or more components in the patient's present insulin dosage regimen.
    • Claim:
      10. The system of claim 3 , wherein the processor is programmed to determine from the data inputs corresponding at least to the patient's blood-glucose-level measurements determined at a plurality of times if the patient's blood-glucose level measurements fall within or outside said desired glycemic range, and to vary at least one of the one or more components in the patient's present insulin dosage regimen only if the patient's blood-glucose level measurements fall outside of said desired glycemic range.
    • Claim:
      11. The system of claim 10 , wherein the processor is further programmed to determine from the data inputs corresponding at least to the patient's blood glucose-level measurements determined at a plurality of times whether the patient's blood glucose-level measurements determined at a plurality of times represent a normal or abnormal distribution.
    • Claim:
      12. The system of claim 10 , wherein the determination of whether the patient's blood-glucose-level measurements determined at a plurality of times represent a normal or abnormal distribution comprises determining whether the third moment of the distribution of the patient's blood-glucose-level measurements determined at a plurality of times fall within said desired glycemic range.
    • Claim:
      13. The system of claim 3 , wherein the one or more components in the patient's present insulin dosage regimen comprise a short-acting insulin dosage component defined by a carbohydrate ratio and plasma glucose correction factor, and wherein the processor is programmed to determine whether and by how much to vary the patient's carbohydrate ratio and plasma glucose correction factor.
    • Claim:
      14. The system of claim 13 , wherein, in connection with the determination of by how much to vary at least one of the one or more components in the patient's present insulin dosage regimen, the at least one processor is programmed to factor in an insulin sensitivity correction factor that defines both the percentage by which any one or more components of the insulin dosage regimen may be varied and the direction in which any fractional variations in the one or more components are rounded to the nearest whole number.
    • Claim:
      15. The system of claim 14 , wherein the determination of by how much to vary the present plasma glucose correction factor component of a patient's insulin dosage regimen is a function of a predefined value divided by the mean of the total daily dosage of insulin administered to the patient, the patient's present plasma glucose correction factor, and the insulin sensitivity correction factor.
    • Claim:
      16. The system of claim 15 , wherein a value representing twice the patient's daily dosage of long-acting insulin in the present insulin dosage regimen is substituted for the mean of the total daily dosage of insulin administered to the patient as an approximation thereof.
    • Claim:
      17. The system of claim 15 , wherein the plasma glucose correction factor component of the patient's insulin dosage regimen is quantized to predefined steps of mg/dl.
    • Claim:
      18. The system of claim 14 , wherein the determination of by how much to vary the present carbohydrate ratio component of a patient's insulin dosage regimen is a function of a predefined value divided by the mean of the total daily dosage of insulin administered to the patient, the patient's present carbohydrate ratio, and the insulin sensitivity correction factor.
    • Claim:
      19. The system of claim 18 , wherein a value representing twice the patient's daily dosage of long-acting insulin in the present insulin dosage regimen is substituted for the mean of the total daily dosage of insulin administered to the patient as an approximation thereof.
    • Claim:
      20. The system of claim 18 , wherein the at least one processor is programmed to determine a correction factor that allows variations to the carbohydrate ratio component of a patient's insulin dosage regimen to be altered in order to compensate for a patient's individual response to insulin at different times of the day.
    • Patent References Cited:
      4403984 September 1983 Ash et al.
      4731726 March 1988 Allen
      4981779 January 1991 Wagner
      5216597 June 1993 Beckers
      5251126 October 1993 Kahn et al.
      5822715 October 1998 Worthington et al.
      5840020 November 1998 Heinonen et al.
      5956501 September 1999 Brown
      6024699 February 2000 Surwit et al.
      6186145 February 2001 Brown
      6233539 May 2001 Brown
      6379301 April 2002 Worthington et al.
      6540672 April 2003 Simonsen et al.
      6544212 April 2003 Galley et al.
      6560471 May 2003 Heller et al.
      6565114 May 2003 Thomas
      6575905 June 2003 Knobbe et al.
      6669663 December 2003 Thompson
      6740072 May 2004 Starkweather et al.
      7025425 April 2006 Kovatchev et al.
      7039560 May 2006 Kawatahara et al.
      7060059 June 2006 Keith et al.
      7108680 September 2006 Rohr et al.
      7137951 November 2006 Pilarski
      7167818 January 2007 Brown
      7204823 April 2007 Estes et al.
      7267665 September 2007 Steil et al.
      7282029 October 2007 Poulsen et al.
      7291107 November 2007 Hellwig et al.
      7404796 July 2008 Ginsberg
      7509156 March 2009 Flanders
      7553281 June 2009 Hellwig et al.
      7651845 January 2010 Doyle et al.
      7734323 June 2010 Blomquist
      7853455 December 2010 Brown
      7877271 January 2011 Brown
      7901625 March 2011 Brown
      7904310 March 2011 Brown
      7912688 March 2011 Brown
      7920998 April 2011 Brown
      7949507 May 2011 Brown
      20030028089 February 2003 Galley et al.
      20030050621 March 2003 Lebel et al.
      20040042272 March 2004 Kurata
      20040054263 March 2004 Moerman et al.
      20040044272 April 2004 Moerman et al.
      20050049179 March 2005 Davidson et al.
      20050055010 March 2005 Pettis et al.
      20050171503 August 2005 Van Den Berghe et al.
      20050177398 August 2005 Watanabe et al.
      20050192494 September 2005 Ginsberg
      20050192557 September 2005 Brauker et al.
      20050197533 September 2005 May et al.
      20050197621 September 2005 Poulsen et al.
      20050272640 December 2005 Doyle et al.
      20060160722 July 2006 Green et al.
      20060173260 August 2006 Gaoni et al.
      20060224109 October 2006 Steil et al.
      20060264886 November 2006 Pettis et al.
      20070078314 April 2007 Grounsell et al.
      20070078818 April 2007 Zivitz et al.
      20070168224 July 2007 Letzt et al.
      20070293742 December 2007 Simonsen et al.
      20080077072 March 2008 Keenan et al.
      20080097289 April 2008 Steil et al.
      20080119705 May 2008 Patel et al.
      20080139907 June 2008 Rao et al.
      20080172030 July 2008 Blomquist
      20080194934 August 2008 Ray
      20080214919 September 2008 Harmon et al.
      20080234943 September 2008 Ray et al.
      20080242963 October 2008 Essenpreis
      20080269585 October 2008 Ginsberg
      20090069636 March 2009 Zivitz et al.
      20090247982 October 2009 Krulevitch et al.
      20090253970 October 2009 Bashan
      20090253973 October 2009 Bashan
      20090299152 December 2009 Taub et al.
      20100016700 January 2010 Sieh et al.
      20100124996 May 2010 Lindsay
      20100160740 June 2010 Cohen et al.
      20100161236 June 2010 Cohen et al.
      20100161346 June 2010 Getschmann et al.
      20100256047 October 2010 Sieh et al.
      20100305545 December 2010 Kanderian et al.
      20100331652 December 2010 Groll et al.
      20100331654 December 2010 Jerdonek et al.
      20110319322 December 2011 Bashan et al.
      20120022353 January 2012 Bashan et al.
      20130165901 June 2013 Ruchti et al.
      102016906 April 2011
      2003/065033 August 2003
      2005/072792 August 2005
      2005/110222 November 2005
      2007/116226 October 2007
      2009/146119 December 2009
      2009/146121 December 2009
      2010/056718 May 2010
      2010/075350 July 2010
      2010/089304 August 2010
      2010/089305 August 2010
      2010/089306 August 2010
      2010/089307 August 2010



































































































    • Other References:
      Bu, Davis et al. “Benefits of Information Technology-Enabled Diabetes Management,” Diabetes Care, 30:5 (May 2007) 1137-1142. cited by applicant
      Hayes, R. P. et al. “Primary Care Physician Beliefs About Insulin Initiation in Patients with Type 2 Diabetes,” Int J Clin Pract, 62:6 (Jun. 2008) 860-868. cited by applicant
      Bretzel, Reinhard G. et al. “Once-Daily Basal Insulin Glargine Versus Thrice-Daily Prandial Insulin Lispro in People with Type 2 Diabetes on Oral Hypoglycaemic Agents (APOLLO): An Open Randomised Controlled Trial,” Lancet, 371 (2008) 1073-1084. cited by applicant
      Bergenstal, Richard M. et al. “Adjust to Target in Type 2 Diabetes: Comparison of a Simple Algorithm with Carbohydrate Counting for Adjustment of Mealtime Insulin Glulisine,” Diabetes Care, 31:7 (Jul. 2008) 1305-1310. cited by applicant
      Deutsch, T. et al. “UTOPIA: A Consultation System for Visit-by-Visit Diabetes Management,” Med Inform, 21:4 (1996) 345-358. cited by applicant
      Albisser, A. M. “Devices forthe Control of Diabetes Mellitus,” Proceedings of the IEEE, 67:9 (Sep. 1979) 1308-1320. cited by applicant
      Deutsch, T. et al. “Computer-Assisted Diabetic Management: A Complex Approach,” Computer Methods and Programs in BioMedicine, 32 (1990) 195-214. cited by applicant
      Farmer, Terry G., Jr. et al. “The Future of Open-and Closed-Loop Insulin Delivery Systems,” Journal of Pharmacy and Pharmacology, 60 (2008) 1-13. cited by applicant
      Cramer, J. A. et al. “The Significance of Compliance and Persistence in the Treatment of Diabetes, Hypertension and Dyslipidaemia: A Review,” Int J Clin Pract, 62:1 (Jan. 2008) 76-87. cited by applicant
      American Diabetes Association Statement, “Economic Costs of Diabetes in the U.S. in 2007,” Diabetes Care, 31:3 (Mar. 2008) 596-615. cited by applicant
      Andreassen, Steen et al. “A Probabilistic Approach to Glucose Prediction and Insulin Dose Adjustment: Description of Metabolic Model and Pilo Evaluation Study,” Computer Methods and Programs in BioMedicine, 41 (1994) 153-165. cited by applicant
      Day, J. P. “Some Considerations of Legal Liability Concerning the Use and Future Development of Knowledge Based or Expert Systems in Diabetes Care,” Diab Nutr Metab, 8:4 (1995) 195-200. cited by applicant
      Chiarelli, Francesco et al. “Controlled Study in Diabetic Children Comparing Insulin-Dosage Adjustment by Manual and Computer Algorithms,” Diabetes Care, 13:10 (Oct. 1990) 1080-1088. cited by applicant
      Nathan, David M. et al. “Translating the A1C Assay into Estimated Average Glucose Values,” Diabetes Care, 31:8 (Aug. 2008) 1-6. cited by applicant
      Deutsch, T. et al. “Time Series Analysis and Control of Blood Glucose Levels in Diabetic Patients,” Computer Methods and Programs in BioMedicine, 41 (1994) 167-182. cited by applicant
      Ray, Kausik K. et al. “Effect of Intensive Control of Glucose on Cardiovascular Outcomes and Death in Patients with Diabetes Mellitus: a Meta-Analysis of Randomized Controlled Trials,” Lancet, 373 (May 23, 2009) 1765-1772. cited by applicant
      Ryff-de Lèche, Arnika et al. “Clinical Application of Two Computerized Diabetes Management Systems: Comparison with the Log-Book Method,” Diabetes Research, 19 (1992) 97-105. cited by applicant
      Janka, Hans U. et al. “Comparison of Basal Insulin Added to Oral Agents Versus Twice-Daily Premixed Insulin as Initial Insulin Therapy for Type 2 Diabetes,” Diabetes Care, 28:2 (Feb. 2005) 254-259. cited by applicant
      Lougheed, W. D. et al. “Stabilizing Blood Glucose with a Novel Medical Expert System,” Biosensors, 3 (1988) 381-389. cited by applicant
      Pernick, Nat L. et al. “Personal Computer Programs to Assist with Self-Monitoring of Blood Glucose and Self-Adjustment of Insulin Dosage,” Diabetes Care, 9:1 (Jan.-Feb. 1986) 61-69. cited by applicant
      Spoelstra, José A. et al. “Refill Compliance in Type 2 Diabetes Mellitus: A Predictor of Switching to Insulin Therapy?” Pharmacoepidemiology and Drug Safety, 12 (2003) 121-127. cited by applicant
      Marshall, Trevor G. et al. “New Microprocessor-Based Insulin Controller,” IEEE Transactions on BioMedical Engineering, BME-30:11 (Nov. 1983) 689-695. cited by applicant
      Barnett, Anthony “Dosing of Insulin Glargine in the Treatment of Type 2 Diabetes,” Clinical Therapeutics, 29:6 (Jun. 2007) 987-999. cited by applicant
      Herman, William H. et al. “A Clinical Trial of Continuous Subcutaneous Insulin Infusion Versus Multiple Daily Injections in Older Adults with Type 2 Diabetes,” Diabetes Care, 28:7 (Jul. 2005) 1568-1573. cited by applicant
      Eliaschewitz, Freddy G. et al. “Therapy in Type 2 Diabetes: Insulin Glargine vs. NPH Insulin Both in Combination with Glimepiride,” Archives of Medical Research, 37 (2006) 495-501. cited by applicant
      Hoerger, Thomas J. et al. “Is Glycemic Control Improving in U.S. Adults?” Diabetes Care, 31:1 (Jan. 2008) 81-86. cited by applicant
      Albisser, A. M. “The Role(s) of Glucose Sensing in Diabetes: Informative, Archival, or Control?” Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 12:2 (1990) 0474-0475. cited by applicant
      Nathan, David M. et al. “Medical Management of Hyperglycemia in Type 2 Diabetes: A Consensus Algorithm for the Initiation and Adjustment of Therapy,” Diabetes Care, 31:12 (Dec. 2008) 1-11. cited by applicant
      Albisser, A. Michael “Intelligent Instrumentation in Diabetic Management,” Critical Reviews in BioMedical Engineering, 17:1 (1989) 1-24. cited by applicant
      Miyako, Kenichi et al. “Improved Diabetes Control by Using ‘Close Adjustment Algorithms’,” Pediatrics International, 46 (2004) 678-684. cited by applicant
      Lehmann, E. D. “Application of Computers in Clinical Diabetes Care,” Diab Nutr Metab, 10 (1997) 45-59. cited by applicant
      Hirsch, Irl B. et al. “Clinical Application of Emerging Sensor Technologies in Diabetes Management: Consensus Guidelines for Continuous Glucose Monitoring (CGM),” Diabetes Technology & Therapeutics, 10:4 (2008) 232-244. cited by applicant
      Choe, Hae Mi et al. “Proactive Case Management of High-Risk Patients with Type 2 Diabetes Mellitus by a Clinical Pharmacist: A Randomized Controlled Trial,” Am J Manag Care, 11:4 (2005) 253-260. cited by applicant
      Schrezenmeir, J. et al. “Computer Assisted Insulin Dosage Adjustment—Perspectives for Diabetes Control,” 1990. cited by applicant
      Spellman, Craig W. “Management of Diabetes in the Real World: Tight Control of Glucose Metabolism,” JAOA, Supplement 5, 103:8 (Aug. 2003) S8-S13. cited by applicant
      Schiffrin, Alicia et al. “Computer-Assisted Insulin Dosage Adjustment,” Diabetes Care, 8:6 (Nov./Dec. 1985) 545-552. cited by applicant
      Albisser, A. M. et al. “Insulin Dosage Adjustment Using Manual Methods and Computer Algorithms: A Comparative Study,” Medical and Biological Engineering & Computing, 24 (Nov. 1986) 577-584. cited by applicant
      Hirsch, Irl B. et al. “A Real-World Approach to Insulin Therapy in Primary Care Practice,” Clinical Diabetes, 23:2 (2005) 78-86. cited by applicant
      Lehmann, E. D. et al. “Compartmental Models for Glycaemic Prediction and Decision-Support in Clinical Diabetes Care: Promise and Reality,” Computer Methods and Programs in BioMedicine, 56 (1998) 193-204. cited by applicant
      Guler, Serdar et al. “Intensification Lessons with Modern Premixes: From Clinical Trial to Clinical Practice,” Diabetes Research and Clinical Practice, 81S (2008) S23-S30. cited by applicant
      Lehmann, E. D. et al. “Insulin Dosage Adjustment in Diabetes,” J Biomed Eng, 14 (May 1992) 243-249. cited by applicant
      Davies, M et al. “Initiation of Insulin Glargine in Suboptimally Controlled Patients with Type 2 Diabetes: Sub-Analysis of the AT.LANTUS Trial Comparing Treatment Outcomes in Subjects From Primary and Secondary Care in the UK,” Diabetes, Obesity and Metabolism, 9 (2007) 706-713. cited by applicant
      Albisser, A. Michael “Six Generations of the Insulin Dosage Computer: A New Clinical Device for Diabetes Self-Management Through Specialized Centres,” Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 12:3 (1990) 0996-0997. cited by applicant
      Davies, Melanie et al. “Improvement of Glycemic Control in Subjects with Poorly Controlled Type 2 Diabetes,” Diabetes Care, 28:6 (Jun. 2005) 1282-1288. cited by applicant
      Gomis, Ramon et al. “Improving Metabolic Control in Sub-Optimally Controlled Subjects with Type 1 Diabetes: Comparison of Two Treatment Algorithms Using Insulin Glargine,” Diabetes Research and Clinical Practice, 77 (2007) 84-91. cited by applicant
      Saaddine, Jinan B. et al. “Improvements in Diabetes Processes of Care and Intermediate Outcomes: United States, 1988-2002,” Annals of Internal Medicine, 144 (2006) 465-474. cited by applicant
      Van Herpe, Tom et al. “Glycemic Penalty Index for Adequately Assessing and Comparing Different Blood Glucose Control Algorithms,” Critical Care, 12:1 (R24)(2008) 1-14. cited by applicant
      Kennedy, Laurence et al. “Impact of Active Versus Usual Algorithmic Titration of Basal Insulin and Point-of-Care Versus Laboratory Measuremenet of HbA1C on Glycemic Control in Patients with Type 2 Diabetes,” Diabetes Care, 29:1 (Jan. 2006) 1-8. cited by applicant
      Brahams, Diana et al. “Decision Aids and the Law,” The Lancet (Sep. 9, 1989) 632-634. cited by applicant
      Meneghini, L. et al. “The Usage of a Simplified Self-Titration Dosing Guideline (303 Algorithm) for Insulin Detemir in Patients with Type 2 Diabetes—Results of the Randomized, Controlled PREDICTIVE™ 303 Study,” Diabetes, Obesity and Metabolism, 9 (2007) 902-913. cited by applicant
      Stratton, Irene M. et al. “Association of Glycaemia with Macrovascularand Microvascular Complications of Type 2 Diabetes (UKPDS 35): Prospective Observational Study,” BMJ, 321 (Aug. 12, 2000) 405-412. cited by applicant
      Dinsmoor, Robert S. “The Artificial Pancreas: How to ‘Close the Loop’,” JDRF Countdown (Winter 2007) 24-25. cited by applicant
      Ford, Earl S. et al. “Trends in A1C Concentrations Among U.S. Adults with Diagnosed Diabetes From 1999 to 2004,” Diabetes Care, 31:1 (Jan. 2008) 102-104. cited by applicant
      Skyler, Jay S. et al. “Algorithms for Adjustment of Insulin Dosage by Patients Who Monitor Blood Glucose,” Diabetes Care, 4:2 (Mar.-Apr. 1981) 311-318. cited by applicant
      Lehmann, E. D. et al. “Application of Computers in Diabetes Care—A Review, I. Computers for Data Collection and Interpretation,” Med Inform, 20:4 (1995) 281-302. cited by applicant
      Lehmann, E. D. et al. “Application of Computers in Diabetes Care—A Review, II. Computers for Decision Support and Education,” Med Inform, 20:4 (1995) 303-329. cited by applicant
      Davies, M. et al. “Initiation of Insulin Glargine Therapy in Type 2 Diabetes Subjects Suboptimally Controlled on Oral Antidiabetic Agents: Results from the AT.LANTUS Trial,” Diabetes, Obesity and Metabolism, 10 (2008) 387-399. cited by applicant
      Meneghini, Luigi et al. “An Electronic Case Manager for Diabetes Control,” Diabetes Care, 21:4 (Apr. 1998) 591-596. cited by applicant
      Buse, John B. et al. “DURAbility of Basal Versus Lispro Mix 75/25 Insulin Efficacy (DURABLE) Trial 24-Week Results,” Diabetes Care, 32:6 (Jun. 2009) 1007-1013. cited by applicant
      Balas, E. Andrew et al. “Computerized Knowledge Management in Diabetes Care,” Medical Care, 42:6 (Jun. 2004) 610-621. cited by applicant
      Berger, M. et al. “Computer Programs to Assist the Physician in the Analysis of Self-Monitored Blood Glucose Data,” Nov. 1988, 52-57. cited by applicant
      Raskin, Philip R. et al. “Basal Insulin or Premix Analogue Therapy in Type 2 Diabetes Patients,” European Journal of Internal Medicine, 18 (2007) 56-62. cited by applicant
      Koro, Carol E. et al. “Glycemic Control From 1988 to 2000 Among U.S. Adults Diagnosed with Type 2 Diabetes,” Diabetes Care, 27:1 (Jan. 2004) 17-20. cited by applicant
      Mayfield, Jennifer A. et al. “Insulin Therapy for Type 2 Diabetes: Rescue, Augmentation, and Replacement of Beta-Cell Function,” American Family Physician, 70:3 (Aug. 1, 2004) 489-500. cited by applicant
      Peterson, Charles M. et al. “Randomized Trial of Computer-Assisted Insulin Delivery in Patients with Type I Diabetes Beginning Pump Therapy,” Am J Med, 81 (Jul. 1986) 69-72. cited by applicant
      Queale, William S. et al. “Glycemic Control and Sliding Scale Insulin Use in Medical In patients with Diabetes Mellitus,” Arch Intern Med, 157 (Mar. 10, 1997) 545-552. cited by applicant
      Holman, Rury R. et al. “Addition of Biphasic, Prandial, or Basal Insulin to Oral Therapy in Type 2 Diabetes,” N Engl J Med, 357:17 (Oct. 25, 2007) 1716-1730. cited by applicant
      Woodcock, Alison et al. “Patient Concerns in Their First Year with Type 2 Diabetes: Patient and Practice Nurse Views,” Patient Education and Counseling, 42 (2001) 257-270. cited by applicant
      Hermányi, István et al. “Management of Diabetes with the Use of a Microprocessor: Comparison of Insulin Treatments Based on Blood and Urine Glucose Levels,” 1988, 33-40. cited by applicant
      Farmer, Andrew J. et al. “A Randomized Controlled Trial of the Effect of Real-Time Telemedicine Support on Glycemic Control in Young Adults with Type 1 Diabetes (ISRCTN 46889446),” Diabetes Care, 28:11 (Nov. 2005) 2697-2702. cited by applicant
      Schulz, G. et al. “Diabetes Self-Adjustment by a Computerized Program—First Experiences in Inpatient and Outpatient Treatment,” 1985, 578-582. cited by applicant
      Ambrosiadou, B. V. et al. “Clinical Evaluation of the DIABETES Expert System for Decision Support by Multiple Regimen Insulin Dose Adjustment,” Computer Methods and Programs in BioMedicine, 49 (1996) 105-115. cited by applicant
      Hirsch, Irl B. et al. “Self-Monitoring of Blood Glucose (SMBG) in Insulin-and Non-Insulin-Using Adults and Diabetes: Consensus Recommendations for Improving SMBG Accuracy, Utilization and Research,” Diabetes Technology & Therapeutics, 10:6 (2008) 419-440. cited by applicant
      Nathan, David M. et al. “Management of Hyperglycemia in Type 2 Diabetes: A Consensus Algorithm forthe Initiation and Adjustment of Therapy,” Diabetes Care, 29:8 (Aug. 2006) 1963-1972. cited by applicant
      Aubert, Ronald E. et al. “Nurse Case Management to Improve Glycemic Control in Diabetic Patients in a Health Maintenance Organization,” 129:8 (Oct. 15, 1998) 605-612. cited by applicant
      Lehmann, E. D. et al. “Retrospective Validation of a Physiological Model of Glucose-lnsulin Interaction in Type 1 Diabetes Mellitus,” Med Eng Phys, 16 (May 1994) 193-202. cited by applicant
      Albisser, A. Michael “Toward Algorithms in Diabetes Self-Management,” Diabetes Technology & Therapeutics, 5:3 (2003) 371-373. cited by applicant
      Albisser, A. M. et al. “Electronics and the Diabetic,” IEEE Transactions on Biomedical Engineering, BME-29:4 (Apr. 1982) 239-248. cited by applicant
      European Diabetes Policy Group 1998 “Desktop Guide to Type 1 (Insulin-Dependent) Diabetes Mellitus,” Diabetic Medicine, 16 (1999) 253-266. cited by applicant
      European Diabetes Policy Group 1999 “Desktop Guide to Type 2 Diabetes Mellitus,” Diabetic Medicine, 16 (1999) 716-730. cited by applicant
      Action to Control Cardiovascular Risk in Diabetes (ACCORD) Trial—Protocol, May 11, 2005, 1-167. cited by applicant
      Jenkins, Alicia J. et al. “Evaluation of an Algorithm to Guide Patients with Type 1 Diabetes Treated with Continuous Subcutaneous Insulin Infusion on How to Respond to Real-Time Continuous Glucose Levels,” Diabetes Care, 33:6 (Jun. 2010) 1242-1248. cited by applicant
      Charpentier, Guillaume et al. “The Diabeo Software Enabling Individualized Insulin Dose Adjustments Combined with Telemedicine Support Improves HbA1C in Poorly Controlled Type 1 Diabetic Patients,” Diabetes Care (online: care.diabetesjournals.org)(Jan. 25, 2011) 1-7. cited by applicant
      Mulvaney, Shelagh A. et al. “An Internet-Based Program to Improve Self-Management in Adolescents with Type 1 Diabetes,” Diabetes Care, 33:3 (Mar. 2010) 602-604. cited by applicant
      Strange, Poul “Treat-to-Target Insulin Titration Algorithms When Initiating Long or Intermediate Acting Insulin in Type 2 Diabetes,” Journal of Diabetes Science and Technology, 1:4 (Jul. 2007) 540-548. cited by applicant
      The Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group “Continuous Glucose Monitoring and Intensive Treatment of Type 1 Diabetes,” N Eng J Med, 359 (2008) 1-13. cited by applicant
      Renard, Eric “Clinical Experience with an Implanted Closed-Loop Insulin Delivery System,” Arq Bras Endrocrinol Metab, 52:2 (2008) 349-354 (with English Abstract). cited by applicant
      Oyer, David S. “A1C Control in a Primary Care Setting: Self-Titrating an Insulin Analog Pre-Mix (INITIATEplus Trial),” Am J Med, 122:11 (Nov. 2009) 1043-1049. cited by applicant
      Stone, Roslyn A. et al. “Active Care Management Supported by Home Telemonitoring in Veterans with Type 2 Diabetes,” Diabetes Care, 33:3 (Mar. 2010) 478-484. cited by applicant
      Quinn, Charlene C. et al. “Cluster-Randomized Trial of a Mobile Phone Personalized Behavioral Intervention for Blood Glucose Control,” Diabetes Care (online: care.diabetesjournals.org)(Jul. 25, 2011) 1-9. cited by applicant
      Bergenstal, Richard M. et al. “Effectiveness of Sensor-Augmented Insulin-Pump Therapy in Type 1 Diabetes,” N Eng J Med, 363:4 (Jul. 22, 2010) 311-320. cited by applicant
      Miller, Shahar et al. “Automatic Learning Algorithm for the MD-Logic Artificial Pancreas System,” Diabetes Technology & Therapeutics, 13:10 (2011) 1-8. cited by applicant
      Kilbride, Lynn et al. “Managing Blood Glucose During and After Exercise in Type 1 Diabetes: Reproducibility of Glucose Response and a Trial of a Structured Algorithm Adjusting Insulin and Carbohydrate Intake,” Journal of Clinical Nursing (2011) 1-7. cited by applicant
      Campos-Cornejo, Fabiola et al. “An Advisory Protocol for Rapid-and Slow-Acting Insulin Therapy Based on a Run-to-Run Methodology,” Diabetes Technology & Therapeutics, 12:7 (2010) 555-565. cited by applicant
      International Search Report for PCT/US2009/039418 dated Nov. 17, 2009. cited by applicant
      International Search Report for PCT/US2009/063989 dated May 28, 2010. cited by applicant
      International Search Report for PCT/US2010/055246 dated Dec. 13, 2010. cited by applicant
      International Search Report for PCT/US2009/039421 dated Nov. 17, 2009. cited by applicant
      Supplemental European Search Report dated Dec. 21, 2016 for EP 14833783. cited by applicant
      International Search Report dated Jan. 22, 2015 for PCT/US2014/49771. cited by applicant
    • Primary Examiner:
      Lin, Jerry
    • Attorney, Agent or Firm:
      Jones Day
    • الرقم المعرف:
      edspgr.11723592