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ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

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Research Article

Model for Gestational Diabetes on Web Based Parameters

Author(s): Sandhya* and Deepak Kumar*

Volume 13, Issue 1, 2019

Page: [48 - 54] Pages: 7

DOI: 10.2174/1872212112666180601085016

Price: $65

Abstract

Background: For the study of gestational diabetes mellitus one of the types of diabetes mellitus a refined model is developed by considering different parameters which plays an important role in the field of gestational diabetes mellitus. Motherhood and a journey of having a child is a blessing of God and a significant occasion for every woman. This disease is associated with the pregnant women and now a day either its global or Indian scenario it is increasing and becoming a risk for women as well for fetus. It sometimes does not go with pregnancy but its effects can be seen afterwards. Many patents have been granted and filed in past two decades related to gestational diabetes mellitus.

Method: A differential equations based model of different parameters are taken into account for gestational diabetes i.e. glucose concentration, insulin concentration, placental volume, beta-cell mass and haemoglobin alc. Further in this work the stability of model is discussed by routh-hurwitz stability criterion.

Results: Different parameters are taken into account for gestational diabetes i.e. glucose concentration, insulin concentration, placental volume, beta-cell mass and haemoglobin alc. Further in this chapter the stability of model is discussed by routh-hurwitz stability criterion. MATlab simulation is used for graphical representation.

Conclusion: In this work, different parameters associated with diabetes mellitus has been taken into consideration for the mathematical model which shows the effects on glucose level and thus helpful in understanding the role of these parameters in the diabetes. In future by understanding the role of these parameters necessary action can be taken as precautions to avoid/treat gestational diabetes mellitus.

Keywords: Haemoglobin A1c, β-cell mass, placental volume, Gestational Diabetes Mellitus (GDM), Routh-Hurwitz (RH) stability criterion, equations based model.

Graphical Abstract

[1]
A. Fong, E. Serra, L. Gabby, D.A. Wing, and K.M. Berkowitz, "Use of hemoglobin A1c as an early predictor of gestational diabetes mellitus", Am. J. Obstet. Gynecol., vol. 211, p. 641, 2014.
[2]
K.A. Nelson, R.J. Davis, D.R. Lutz, and W. Smith, "Optical generation of tunable ultrasonic waves", J. Appl. Phys., vol. 53, pp. 1144-1149, 2002.
[3]
J. Muller, and C. Kuttler, Methods and models in mathematical biology: Deterministic and stochastic approache., Springer, 2015.
[4]
D. Hadden, "Gestational Diabetes: What every mother needs to know", Diab. Voice, vol. 47, pp. 18-21, 2002.
[5]
C.F. Paula, R. Ruano, J.A. Campos, and M.D. Zugaib, "Placental volumes measured by 3-dimensional ultrasonography in normal pregnancies from 12 to 40 weeks’ gestation", J. Ultrasound Med., vol. 27, pp. 1583-1590, 2008.
[6]
J.E. Marshall, and M.D. Raynor, Myles, Textbook for Midwives.. 16th ed. Leicester, UK: Elsevier Health Sciences, 2014.
[7]
F.L. Gaudier, J.C. Hauth, M. Poist, D. Corbett, and S.P. Cliver, "Recurrence of gestational diabetes mellitus", Obstet. Gynecol., vol. 80, pp. 755-758, 1992.
[8]
S. Georgia, and A. Bhushan, "Pregnancy hormones boost beta cells via serotonin", Nat. Med., vol. 16, pp. 756-757, 2010.
[9]
P. Ladyzynski, P. Foltynski, J.M. Wojcicki, M.I. Bąk, S. Sabalinska, J. Krzymien, J. Kawiak, and W. Karnafel, ""Estimation of the hemoglobin glycation rate constant based on the mean glycemia in patients with diabetes",", In XIII Mediterranean Conference on Medical and Biological Engineering and Computing,. Switzerland, 2013, pp. 515-518.
[10]
P. Murali, and M. Raman, "Modeling the dynamics of amyloid formation of islet beta cells under therapeutic interventions and its role in discovery of novel target for drug action", In. J. Life Sci. Med. Res, vol. 3, pp. 1-10, 2013.
[11]
V. Seshiah, V. Balaji, M.S. Balaji, C.B. Sanjeevi, and A. Green, "Gestational diabetes mellitus in India", J. Assoc. Physicians India, vol. 52, pp. 707-711, 2004.
[12]
T.L. Setji, A.J. Brown, and M.N. Feinglos, "Gestational diabetes mellitus", Clin. Diab, vol. 23, pp. 17-24, 2005.
[13]
D.M. Thomas, J.F. Clapp, and S. Shernce, "A foetal energy balance equation based on maternal exercise and diet", J. R. Soc. Interface, vol. 5, pp. 449-455, 2008.
[14]
I. Topp, K. Promislow, G. Devries, R.M. Miura, and D.T. Finegood, "A model of β-cell mass, insulin, and glucose kinetics: Pathways to diabetes", J. Theor. Biol., vol. 206, pp. 605-619, 2000.
[15]
B. Vambergue, and I. Fajardy, "Consequences of gestational and pre-gestational diabetes on placental function and birth weight", World J. Diabetes, vol. 2, pp. 196-203, 2011.
[16]
M.P. Charles, and G.P. Lois, “Method of diagnosing gestational diabetes”,. U.S. Patent 5670377A, 1997.
[17]
"G. Stavros, H. Sinuhe, L. Olav, and H. Paul,", “Methods for detecting gestational diabetes mellitus”,. WO Patent 2016092028A1, 2016.
[18]
S. Jahan, and M. Ali, "Risk of Gestational Diabetes Mellitus (GDM) using clinical prediction model based on maternal characteristics", J. Armed Forces Med. Coll Bangla, vol. 11, pp. 64-68, 2015.

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