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Tropical Journal of Pharmaceutical Research

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Serological Prediction of infections in Diabetic Patients with Diabetes Ketoacidosis in Penang, Malaysia

SW Gillani, SAS Sulaiman, S Sundram, YO Sari, M Baig, MMS Iqbal

Abstract


Purpose: To determine the prevalence and predictors of infection in diabetic patients with diabetic ketoacidosis (DKA) who were .18 years.
Methods: A retrospective cohort design was adopted for this study. A total of 967 diabetes ketoacidosis patients from Hospital Pulau Pinang for the 3-year period, Jan 2008 - Dec 2010, were identified and enrolled. The data were analysed, as appropriate, by Student t-test and ANOVA for the normally distributed data, Mann-Whitney U rank sum and Kruskall-Wallis tests for continuous, non-nominal data and Chi-square for dichotomous variables. Odd Ratios with 95% confidence interval (CI) were also
presented where applicable.
Results: Of the total diabetes ketoacidosis patients, 112 (11.6 %) were cases without infection, 679 (70.2 %) bacterial infection cases and 176 (18.2 %) presumed viral infection cases. The mean white blood count (WBC) for all the patients was 18,177 } 9,431 while 721 (74.6 %) had leukocytosis, defined by WBC . 15,000/mm3. WBC differential, leukocytosis, as well as sex and body temperature were not significant predictors (p >.05) of bacterial infection. There was, however, a significant difference (p <.05) in terms of age within groups, as those > 57 years showed a higher rate of infection.
Conclusion: The infection rate in elderly patients with DKA is high and a majority of them lack clinical evidence. Age has a significant effect on the rate and prediction of infection. Leukocytosis is commonly found but severe ketoacidosis was more likely than the presence of infection.

Keywords: Diabetes mellitus, Diabetes ketoacidosis, Infections, Predictors, White blood cells




http://dx.doi.org/10.4314/tjpr.v11i5.16
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