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Dyslipidemia in Newly Diagnosed Diabetic Patients With or Without Micro Albuminuria

Authors: Naimatullah Khan; Javed Iqbal Khan; Tariq Mehmood; Aqeel Peter;

Dyslipidemia in Newly Diagnosed Diabetic Patients With or Without Micro Albuminuria

Abstract

Objective: To assess the dyslipidemia in newly diagnosed diabetic patients and compare it with or without micro albuminuria. Study Design and Setting: Cross-sectional study at Department of Medicine, Military Hospital Rawalpindi from 01 March 2015 to 31 August 2015. Methodology: A total of 150 patients who fulfilled the inclusion criteria were included after taking informed consent and approval from hospital ethical committee. Blood sample was obtained from each patient and samples were sent to hospital laboratory and reports were assessed by pathologist. Presence or absence of microalbuminuria, trigiyceridemia (200-499 mg/dl), raised LDL-C (>160 mg/dl) and decreased HDL-C (<40 mg/dl) were noted by researcher himself on a pre-designed performa. The collected data was analyzed statistically by using SPSS version 12.Quantitative variables like age, TG, LDL HDL levels were presented in form of mean ± S.D. Qualitative variables like gender, diabetes mellitus, micro albuminuria and dyslipidemia were presented as frequencies and percentages. Chi-square test was applied to find association between dyslipidemia and micro albuminuria. P value = 0.05 was considered as statistically significant. Results: Mean ± SD of age was 47.97±7.08 years. Out of 150 patients 60% were male and 40% were female. Dyslipidemia was found in 42% patients. Highly significant association was found between dyslipidemia and micro albuminuria, i.e. (P=0.0001). Conclusion: The frequency of dyslipidemia among newly diagnosed diabetic patients with micro albuminuria was significantly higher than in subjects without micro albuminuria

Keywords

Medicine (General), R5-920, Dentistry, Dyslipidemia, Micro albuminuria, Newly diagnosed diabetic patients., RK1-715

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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