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Risk Factors for Hospitalization Due to Hypoglycemia in Diabetic Patients in Northeast Thailand

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Background: Hypoglycemia among diabetic patients is a major complication, which results in high morbidity and mortality. Hospitalization provides the inadequate patient care and management. Objective: The aim of this study was to determine the potential risk factors for hospitalization due to hypoglycemia among diabetic patients. Method: In a case-control study, the cases were diabetic patients admitted due to hypoglycemia. Controls were diabetic patients admitted for other reasons. The cases and control subjects were recruited from the inpatient department of the middle level hospital in Northeast Thailand. The total sample size was 360 patients who met the criteria and had been hospitalized. The number of case was 90, and the number of controls was 270. The data were analyzed by determining the adjusted odds ratio, and 95% confidence interval of the ORs using multiple logistic regression models. Results: Using a multivariate logistic regression model, five variables were significantly associated with hospitalization due to hypoglycemia among diabetic patients: 1) patients who received insulin injections (AOR = 20.75; 95% CI: 4.7 - 91.41; p = 0.001); 2) patients who did not carry sugar candy or a dessert with them at all times (AOR = 13.89; 95% CI: 1.92 - 100.31; p = 0.01); 3) patients with an occurrence of hypoglycemia at least once a week at home(AOR = 8.83; 95% CI: 2.58 - 30.20; p = 0.001); 4) patients who were adjusted for doses of medication on their own (AOR = 6.62; 95% CI: 1.30 - 33.70; p = 0.02); and 5) patients who lacked knowledge did not understand the causes and symptoms of low blood sugar (AOR = 7.97; 95% CI: 1.97 - 32.22; p = 0.001). Conclusion: Receiving insulin injection and poor knowledge and self-care of hypoglycemia prevention were the best predictors of hospitalization due to hypoglycemia among diabetic patients. These factors need to be adequately addressed in order to provide better care and management to prevent hospitalization among diabetic patients.
Cite this paper
Poosakaew, T. , Kesssomboon, P. and Smith, J. (2014) Risk Factors for Hospitalization Due to Hypoglycemia in Diabetic Patients in Northeast Thailand. Journal of Diabetes Mellitus, 4, 165-171. doi: 10.4236/jdm.2014.43024
 

[1] Wild, S., Roglic, G., Green, A., Sicree, R. and King, H. (2004) Global Prevalence of Diabetes. Diabetes Care, 27, 1047-1053. http://dx.doi.org/10.2337/diacare.27.5.1047
[2] International Diabetes Federation (2010) Deaths Attributable to Diabetes Mellitus.
http://www.idf.org/content/deaths-attributable-diabetes-dm-2010-eur.
[3] Bureau of Epidemiology, Department of Disease Control, Ministry of Public Health (2006) Epidemiologic Notes and Reports B Virus Infections in Humans—Michigan. Reports of Epidemiological Monitoring, 38, 453-455.
[4] Fa-amnuaypon, P. (2005) Provincial Mortality Rates of 2005. Health Situations in Thailand, 2, 1-6.
[5] Fa-amnuaypon, P. (2006) Provincial Mortality Rates of 2006. Health Situation in Thailand, 2, 1-6.
[6] Srivanichakorn, S., Yana, T., Sanchaisuriya, P., Maw, Y.Y. and Schelp, F.P. (2013) Importance of Regional Difference in the Features of Type 2 Diabetes Mellitus in One and the Same Country: The Example of Thailand. Journal of Diabetes Mellitus, 3, 150-155.
http://dx.doi.org/10.4236/jdm.2013.33023
[7] Yang Talad Hospital (2008) Yang Talad Hospital in-Patient Records; 2008-2011 Fiscal Year.
[8] Nakagasien, P. (2007) Development of Data Set for Health Care Services for People with Diabetes in a Community Socio-Cultural Context. Unpublished Doctoral Dissertation. Khon Kaen University, Khon Kaen:
[9] Leckie, A.M., Graham, M.K., Grant, J.B., Ritchie, P.J. and Frier, B.M. (2005) Frequency, Severity, and Morbidity of Hypoglycemia Occurring in the Workplace in People with Insulin-Treated Diabetes. Diabetes Care, 28, 1333-1338. http://dx.doi.org/10.2337/diacare.28.6.1333
[10] Roglic, G., Unwin, N., Bennett, P.H., Mathers, C., Tuomilehto, J., Nag, S., et al. (2005) The Burden of Mortality Attributable to Diabetes: Realistic Estimates for the Year 2000. Diabetes Care, 28, 2130-2135. http://dx.doi.org/10.2337/diacare.28.9.2130
[11] Broll, S., Glaser, S. and Kreienbrock, L. (2002) Calculating Sample Sizebounds for Logistic Regression. Preventive Veterinary Medicine [Serial Online], 54, 105-111.
[12] Miller, C.D., Phillips, L.S., Ziemer, D.C., Gallina, D.L., Cook, C.B. and El-Kebbi, I.M. (2001) Hypoglycemia in Patients with Type 2 Diabetes Mellitus. Archives of Internal Medicine, 161, 1653-1659.
http://dx.doi.org/10.1001/archinte.161.13.1653
[13] Murata, G.H., Hoffman, R.M., Shah, J.H., Wendel, C.S. and Duckworth, W.C. (2004) A Probabilistic Model for Predicting Hypoglycemia in Type 2 Diabetes Mellitus: The Diabetes Outcomes in Veterans Study (DOVES). Archives of Internal Medicine, 164, 1445-1450.
http://dx.doi.org/10.1001/archinte.164.13.1445
[14] Amiel, S.A., Dixon, T., Mann, R. and Jameson, K. (2008) Hypoglycaemia in Type 2 Diabetes. Diabetic Medicine, 25, 245-254. http://dx.doi.org/10.1111/j.1464-5491.2007.02341.x
[15] Ho, P., Rumsfeld, J.S., Masoudi, F.A., et al. (2006) Effect of Medication Nonadherence on Hospitalization and Mortality among Patients with Diabetes Mellitus. Archives of Internal Medicine, 166, 1836-1841. http://dx.doi.org/10.1001/archinte.166.17.1836
[16] Pedersen-Bjergaard, U., Pramming, S., Thorsteinsson, B. and Thorsteinsson, B. (2003) Recall of Severe Hypoglycaemia and Self-Estimated State of Awareness in Type 1 Diabetes. Diabetes/Metabolism Research and Reviews, 19, 232-240. http://dx.doi.org/10.1002/dmrr.377
[17] Sotiropoulos, A., Skliros, E.A., Tountas, C., Apostolou, U., Peppas, T.A. and Pappas, S.I. (2005) Risk Factors for Severe Hypoglycaemia in Type 2 Diabetic Patients Admitted to Hospital in Piraeus, Greece. The Eastern Mediterranean Health Journal, 11, 48-49.
[18] Grveling, A.J. and Frier, B.M. (2009) Impraired Awareness of Hypoglycemia: A Review. Diabetes and Metabolism, 36, 64-74. http://dx.doi.org/10.1016/S1262-3636(10)70470-5
[19] Elliott, J. and Heller, S. (2011) Hypoglycemia Unawareness. Practical Diabetes, 28, 227-232. http://dx.doi.org/10.1002/pdi.1600
[20] Whitmer, R.A., Karter, A.J., Yaffe, K., Quesenberry, Jr., C.P. and Selby, J.V. (2009) Hypoglycemic Episodes and Risk of Dementia in Older Patients with Type Diabetes Mellitus. Journal of the American Medical Association, 301, 1565-1572. http://dx.doi.org/10.1001/jama.2009.460
[21] Lagi, A. (2011) Syncope and Hypoglycemia. International Journal of Clinical Medicine, 2,129-132. http://dx.doi.org/10.4236/ijcm.2011.22023
[22] Deerochanawong, C. and Ferrario, A. (2013) Diabetes Management in Thailand: A Literature Review of the Burden, Costs, and Outcomes. Globalization and Health, 11, 1-18.                                         eww141013lx

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