Creatinine, Urea and Uric Acid in Hospitalized Patients with and without Hyperglycemia Analysis Using Generalized Additive Model

Authors

  • Souad Bechrouri Department of Informatics Mohamed First University Oujda, Morocco
  • Abdelilah Monir Department of Informatics Mohamed First University Oujda, Morocco
  • Hamid Mraoui Department of Informatics Mohamed First University Oujda, Morocco
  • Mohamed Choukri Department of Chemistry Mohamed First University Oujda, Morocco
  • Ennouamane Saalaoui Department of Chemistry Mohamed First University Oujda, Morocco

DOI:

https://doi.org/10.14738/tmlai.54.3212

Keywords:

component, hyperglycemia, eGFR, generalized additive model,

Abstract

Hyperglycemia is an important risk factor for heart disease andpremature mortality. In hospitalized patients, it is related to an increase in morbidity and development of other disease like kidney disease. To evaluate the existent relation between hyperglycemia and different biochemical parameters, we have proceeded to analyzing the difference between groups of patients which are separatedaccording to the Glucose critical value (1.26 g/L). Generalized additive models (GAM) was used in the aim to model the relation between estimated glomerular filtration renal (eGFR) and some biochemical parameters.Our study was conducted on a data setrecorded on 5600 hospitalized patients in CHU Oujda. Our statistical study revealed that the hyperglycemic patients present an increase in values of each of uric acid, creatinine, urea and triglycerides. This increase is accompanied by a loss in HDL cholesterol and eGFR.Regarding the gender of patients, results show a difference between males and females according to each of parameters: creatinine, urea, uric acid, total cholesterol, HDL and LDL cholesterol. Moreover, results show lower values of eGFR males.The model which explain the eGFRshows a non-linear relation between dependent variable eGFR and some predictors (e.g. urea, calcium and uric acid parameters).

 

References

(1) E. H. Baker, C. H. Janaway, B. J. Philips, A. L. Brennan, D. L. Baines, D. M. Wood, and P. W. Jones, “Hyperglycaemia is associated with poor outcomes in patients admitted to hospital with acute exacerbations of chronic obstructive pulmonary disease.,” Thorax, vol. 61, no. 4, pp. 284–9, Apr. 2006.

(2) IDF, Diabetes. 2015.

(3) M. I. Harris, R. Klein, T. A. Welborn, and M. W. Knuiman, “Onset of NIDDM occurs at least 4-7 yr before clinical diagnosis.” Diabetes Care, vol. 15, no. 7, pp. 815–9, Jul. 1992.

(4) C. S. Levetan, M. Passaro, K. Jablonski, M. Kass, and R. E. Ratner, “Unrecognized diabetes among hospitalized patients,” Diabetes Care, vol. 21, no. 2, pp. 246–9, Feb. 1998.

(5) M. A. Tazi, S. Abir-Khalil, N. Chaouki, S. Cherqaoui, F. Lahmouz, J. E. Sraïri, and J. Mahjour, “Prevalence of the main cardiovascular risk factors in Morocco: results of a National Survey, 2000.,” J. Hypertens., vol. 21, no. 5, pp. 897–903, May

(6) V. Kumar, A. K. Abbas, N. Fausto, S. L. (Stanley L. Robbins, and R. S. Cotran, Robbins and Cotran pathologic basis of disease. Elsevier Saunders, 2005.

(7) H. A. Roberto Pecoits‑Filho1*, Carolina C. R. Betônico3, Alisson Diego Machado2, Erika B. Parente4, Márcia Queiroz2, João Eduardo Nunes Salles4, Silvia Titan2, and and Sergio Vencio, “Interactions between kidney disease and diabetes:

dangerous liaisons,” Diabetol. Metab. Syndr., 2016.

(8) T. Hastie and R. J. Tibshirani, Beneralized Additive Models. Chapman & Hall, 1990.

(9) S. Feldman-Billard, M. Joubert, R. Morello, F. Dorey, D. Seret-Begue, F. Getin-Bouyer, P. Jan, A. Colobert, E. Verlet, M. Roques, and Y. Reznik, “High prevalence of diabetes mellitus and hospital-related hyperglycaemia in French general wards,” Diabetes Metab., vol. 39, no. 5, pp. 454–458, 2013.

(10) E. B. Sellam and A. Bour, “Prévalence des facteurs de risque de maladies cardiovasculaires chez la femme à Oujda (Maroc),” Médecine des Mal. Métaboliques, vol. 10, no. 1, pp. 63–69, 2016.

(11) A. D. Mooradian, “Dyslipidemia in type 2 diabetes mellitus,” Nat.Clin. Pract. Endocrinol. Metab, vol. 5, no. 3, pp. 150–159, Mar. 2009.

(12) B. SATIRAPOJ, O. SUPASYNDH, A. CHAIPRASERT, P. RUANGKANCHANASETR, I. KANJANAKUL, D. PHULSUKSOMBUTI, D. UTAINAM, and P. CHOOVICHIAN, “Relationship between serum uric acid levels with chronic kidney disease in a Southeast Asian population,” Nephrology, vol. 15, no. 2, pp. 253–258, Mar. 2010.

(13) Y. Xu, X. Liu, X. Sun, and Y. Wang, “The impact of serum uric acid on the natural history of glomerular filtration rate: a retrospective study in the general population.” PeerJ, vol. 4, p. e1859, 2016.

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Published

2017-09-01

How to Cite

Bechrouri, S., Monir, A., Mraoui, H., Choukri, M., & Saalaoui, E. (2017). Creatinine, Urea and Uric Acid in Hospitalized Patients with and without Hyperglycemia Analysis Using Generalized Additive Model. Transactions on Engineering and Computing Sciences, 5(4). https://doi.org/10.14738/tmlai.54.3212

Issue

Section

Special Issue : 1st International Conference on Affective computing, Machine Learning and Intelligent Systems