Outcome-Driven Personalized Treatment Design for Managing Diabetes

  • Corresponding Author

    Eva K. Lee

    Center for Operations Research in Medicine and HealthCare, National Science Foundation–Whitaker Foundation, Atlanta, Georgia 30332-0205;Industry/University Cooperative Research Center for Health Organization Transformation, National Science Foundation, Atlanta, Georgia 30332-0205;Industrial and Systems Engineering and Computer Science, Georgia Institute of Technology, Atlanta, Georgia 30332-0205;

    Search for more papers by this author

    ,
  • Xin Wei

    Center for Operations Research in Medicine and HealthCare, National Science Foundation–Whitaker Foundation, Atlanta, Georgia 30332-0205;Industry/University Cooperative Research Center for Health Organization Transformation, National Science Foundation, Atlanta, Georgia 30332-0205;Industrial and Systems Engineering and Computer Science, Georgia Institute of Technology, Atlanta, Georgia 30332-0205;

    Search for more papers by this author

    ,
  • Fran Baker-Witt

    Effingham Health System, Springfield, Georgia 31329;

    Search for more papers by this author

    ,
  • Michael D. Wright

    Grady Health System, Atlanta, Georgia 30303;

    Search for more papers by this author

    ,
  • Alexander Quarshie

    Department of Community Health and Preventive Medicine, Biomedical Informatics Program, Morehouse School of Medicine, Atlanta, Georgia 30310

    Search for more papers by this author

Published Online:https://doi.org/10.1287/inte.2018.0964

References

  • American Diabetes Association (2018) Economic costs of diabetes in the U.S. in 2017. Diabetes Care 41(5):917–928.CrossrefGoogle Scholar
  • Alwan N, Tuffnell DJ, West J (2009) Treatments for gestational diabetes. Cochrane Database Systems Rev. 2009(3):CD003395.Google Scholar
  • Beckmann CRB, Ling FW, Barzansky BM, Herbert WNP, Laube DW, Smith RP (2013) Obstetrics and Gynecology, 7th ed. (Lippincott Williams & Wilkins, Philadelphia).Google Scholar
  • Bellamy L, Casas JP, Hingorani AD, Williams D (2009) Type 2 diabetes mellitus after gestational diabetes: A systematic review and meta-analysis. Lancet 373(9677):1773–1779.CrossrefGoogle Scholar
  • Bergman RN, Ider YZ, Bowden CR, Cobelli C (1979) Quantitative estimation of insulin sensitivity. Amer. J. Physiol. 236(6):E667–E677.Google Scholar
  • Brockwell PJ, Davis RA (2006) Introduction to Time Series and Forecasting (Springer Science & Business Media, New York).Google Scholar
  • Centers for Disease Control and Prevention (2017) New CDC report: More than 100 million Americans have diabetes or prediabetes (July 18). Accessed April 2, 2017, https://www.cdc.gov/media/releases/2017/p0718-diabetes-report.html.Google Scholar
  • Chan P, Holford N (2001) Drug treatment effects on disease progression. Ann. Rev. Pharmacol. Toxicol. 41(1):625–659.CrossrefGoogle Scholar
  • Chen Y, Quick WW, Yang W, Zhang Y, Baldwin A, Moran J, Moore V, Sahai N, Dall TM (2009) Cost of gestational diabetes mellitus in the United States in 2007. Population Health Management 12(3):165–174.CrossrefGoogle Scholar
  • Cobelli C, Dalla Man C, Sparacino G, Magni L, De Nicolao G, Kovatchev BP (2009) Diabetes: Models, signals, and control. IEEE Rev. Biomedical Engrg. 2(January 1):54–96.CrossrefGoogle Scholar
  • Derendorf H, Meibohm B (1999) Modeling of pharmacokinetic/pharmacodynamic (PK/PD) relationships: Concepts and perspectives. Pharmaceutical Res. 16(2):176–185.CrossrefGoogle Scholar
  • De Winter W, DeJongh J, Post T, Ploeger B, Urquhart R, Moules I, Eckland D, Danhof M (2006) A mechanism-based disease progression model for comparison of long-term effects of pioglitazone, metformin and gliclazide on disease processes underlying type 2 diabetes mellitus. J. Pharmacokinetics Pharmacodynamics 33(3):313–343.CrossrefGoogle Scholar
  • Frey N, Laveille C, Paraire M, Francillard M, Holford N, Jochemsen R (2003) Population PKPD modelling of the long‐term hypoglycaemic effect of gliclazide given as a once‐a‐day modified release (MR) formulation. Br. J. Clin. Pharmacol. 55(2):147–157.CrossrefGoogle Scholar
  • Gibaldi M, Perrier D (1975) Pharmacokinetics (Marcel Dekker, New York).Google Scholar
  • Gillespie P, Cullinan J, O'Neill C, Dunne F, Atlantic DIP Collaborators (2013) Modeling the independent effects of gestational diabetes mellitus on maternity care and costs. Diabetes Care 36(5):1111–1116.CrossrefGoogle Scholar
  • Hawkins JS, Casey BM, Lo JY, Moss K, McIntire DD, Leveno KJ (2009) Weekly compared with daily blood glucose monitoring in women with diet-treated gestational diabetes. Obstetrics Gynecol. 113(6):1307–1312.CrossrefGoogle Scholar
  • Hill AV (1910) The possible effects of the aggregation of the molecules of haemoglobin on its dissociation curves. J. Physiol. 40(January):4–7.Google Scholar
  • Hill AV (1913) The combinations of haemoglobin with oxygen and with carbon monoxide. Biochemical J. 7(5):471–480.CrossrefGoogle Scholar
  • Hillier TA, Vesco KK, Pedula KL, Beil TL, Whitlock EP, Pettitt DJ (2008) Screening for gestational diabetes mellitus: A systematic review for the U.S. preventive services task force. Ann. Internal Med. 48(10):766–775.CrossrefGoogle Scholar
  • Holford NH, Sheiner LB (1982) Kinetics of pharmacologic response. Pharmacol. Therap. 16(2):143–166.CrossrefGoogle Scholar
  • Jacqueminet S, Jannot-Lamotte MF (2010) Therapeutic management of gestational diabetes. Diabetes Metab. 36(December):658–671.CrossrefGoogle Scholar
  • Jovanovic L, Pettitt DJ (2001) Gestational diabetes mellitus. JAMA 286(20):2516–2518.CrossrefGoogle Scholar
  • Jovanovic-Peterson L, Durak EP, Peterson CM (1989) Randomized trial of diet vs. diet plus cardiovascular conditioning on glucose levels in gestational diabetes. Amer. J. Obstetrics Gynecol. 161(2):415–419.CrossrefGoogle Scholar
  • Kim C (2010) Gestational diabetes: Risks, management, and treatment options. Internat. J. Women’s Health 2:339–351.CrossrefGoogle Scholar
  • Kimber-Trojnar Z, Marciniak B, Leszczyńska-Gorzelak B, Trojnar M, Oleszczuk J (2008) Glyburide for the treatment of gestational diabetes mellitus. Pharmacol. Rep. 60(3):308–318.Google Scholar
  • Landersdorfer CB, Jusko WJ (2008) Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus. Clin. Pharmacokinetics 47(7):417–448.CrossrefGoogle Scholar
  • Menke A, Casagrande S, Geiss L, Cowie CC (2015) Prevalence of and trends in diabetes among adults in the United States, 1988-2012. JAMA 314(10):1021–1029.CrossrefGoogle Scholar
  • Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR, Hadden DR, et al. (2008) Hyperglycemia and adverse pregnancy outcomes. N. Engl. J. Med. 358(19):1991–2002.CrossrefGoogle Scholar
  • Miyazaki M, Mukai H, Iwanaga K, Morimoto K, Kakemi M (2001) Pharmacokinetic–pharmacodynamic modelling of human insulin: Validity of pharmacological availability as a substitute for extent of bioavailability. J. Pharmacy Pharmacol. 53(9):1235–1246.CrossrefGoogle Scholar
  • NCD Risk Factor Collaboration (2016) Worldwide trends in diabetes since 1980: A pooled analysis of 751 population-based studies with 4.4 million participants. Lancet 387(10027):1513–1530.CrossrefGoogle Scholar
  • Palmer AJ, Brandt A, Gozzoli V, Weiss C, Stock H, Wenzel H (2000) Outline of a diabetes disease management model: Principles and applications. Diabetes Res. Clin. Practice 50(November):S47–S56.CrossrefGoogle Scholar
  • Palmer AJ, Roze S, Valentine WJ, Minshall ME, Foos V, Lurati FM, Lammert M, Spinas GA (2004) The CORE diabetes model: Projecting long-term clinical outcomes, costs and cost-effectiveness of interventions in diabetes mellitus (types 1 and 2) to support clinical and reimbursement decision-making. Curr. Med. Res. Opin. 20(August):S5–S26.CrossrefGoogle Scholar
  • Panel A (2004) Guidelines for computer modeling of diabetes and its complications. Diabetes Care 27(9):2262–2265.CrossrefGoogle Scholar
  • Sheiner LB, Stanski DR, Vozeh S, Miller RD, Ham J (1979) Simultaneous modeling of pharmacokinetics and pharmacodynamics: Application to d-tubocurarine. Clin. Pharmacol. Therap. 25(3):358–371.CrossrefGoogle Scholar
  • Todorova K, Palaveev O, Petkova V, Stefanova M, Dimitrova Z (2007) A pharmacoeconomical model for choice of a treatment for pregnant women with gestational diabetes. Acta Diabetol. 44(3):144–148.CrossrefGoogle Scholar
  • Wang Q, Molenaar P, Harsh S, Freeman K, Xie J, Gold C, Rovine M, Ulbrecht J (2014) Personalized state-space modeling of glucose dynamics for type 1 diabetes using continuously monitored glucose, insulin dose, and meal intake: An extended Kalman filter approach. J. Diabetes Sci. Tech. 8(2):331–345.CrossrefGoogle Scholar
  • World Health Organization (2013) Diagnostic criteria and classification of hyperglycaemia first detected in pregnancy. World Health Organization. Accessed August 22, 2017, http://apps.who.int/iris/bitstream/10665/85975/1/WHO_NMH_MND_13.2_eng.pdf?ua=1.Google Scholar
  • World Health Organization (2016) WHO global report on diabetes. Accessed June 1, 2018, http://apps.who.int/iris/bitstream/handle/10665/204871/9789241565257_eng.pdf;jsessionid=2EF636D595BBC61CD12A0F61D4FBA7F4?sequence=1.Google Scholar
  • Zhuo X, Zhang P, Hoerger TJ (2013) Lifetime direct medical costs of treating type 2 diabetes and diabetic complications. Amer. J. Prevent. Med. 45(3):253–261.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.