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ORIGINAL ARTICLE
Year : 2016  |  Volume : 9  |  Issue : 5  |  Page : 312-315

Lipoprotein (a) and biochemical parameters in elderly


Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok, Thailand

Correspondence Address:
Yuttana Sudjaroen
Faculty of Science and Technology, Suan Sunandha Rajabhat University, U-Thong-Nok Rd., Dusit, Bangkok
Thailand
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/1755-6783.188499

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Background: Lipoprotein (a) [Lp(a)] is an low-density lipoprotein like particle and is an important independent risk factor for coronary artery diseases (CAD). Few studies on Lp(a) level in Thai elderly to screening risk of CAD may concerned. Aims: To study the relation of Lp(a) level and routine biochemical parameters including lipid profiles and fasting blood glucose in elderly and to determine risk of subclinical symptoms by using Lp(a) levels as early risk predictor. Settings and Design: Cross-sectional study during January to March 2015 at Amphawa district, Samut Songkhram province, Thailand. Materials and Methods: Anthropometric data and CAD risk factors (such as, blood pressure, cigarette smoking and body mass index) were recorded, and blood samples were collected from elderly farmers (N = 60). Each collected blood sample was prepared to serum for determining lipid profiles and sodium fluoride plasma for determine fasting blood glucose. Results : Only the average of prehypertension was out of reference range. There were found that Lp(a) can be used to indicate the risk of dyslipedemia [odds ratio (OR) = 8.80 and relative risk (RR) = 3.60] and prehypertension (OR = 15.67 and RR = 6.50). Statistical Analysis Used: The CAD risk and biochemical parameters were presented in mean ± standard deviation. The calculation of OR and RR of Lp (a) for hypercholesteremia, prediabetes, and prehypertension were calculated by MedCalc (Medcalc software bvba, Belgium). Conclusion: This study can be conclude that Lp(a) check together with lipid profile and blood pressure can be useful to screening of CAD with more accuracy especially in subclinical group.


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