| Autor: |
Ahmad, Wan Muhamad Amir W., Yudin, Zainab Mat, Rohim, Rabiatul Adawiyah Abdul, Aleng, Nor Azlida, Yaqoob, Mehak, Yaqoob, Muhammad Azeem |
| Zdroj: |
International Medical Journal; oct2020, Vol. 27 Issue 5, p553-555, 3p |
| Abstrakt: |
Introduction: Dyslipidemia as a metabolic abnormality is frequently associated with diabetes mellitus. The most characteristics lipid abnormality in diabetics is hypertriglyceridemia and high-density lipoprotein (HDL) cholesterol with or without associated increased in serum total and Low-Density Lipoprotein (LDL) cholesterol. Objective: The aim of this paper is to predict the level of Low-Density Lipoprotein (LDL) among patients with Dyslipidaemia and Type 2 Diabetes Mellitus which attending Hospital USM. Methods: The first method approach for the factor determination is through Multiple Linear Regression (MLR). Contour plots methodology (also called level plots) is being applied to the variable which has a significant association toward LDL level. Results: From the result that obtained from MLR, Total Cholesterol (β1 = 0.553, p < 0.25, 95% CI: 0.407, 0.698) dan Alkaline Phosphatase (β1 = -0.009, p < 0.25, 95% CI: 0.018, 0.001). The contour and surface plots also show that the highest value of LDL is obtained when the reading of total cholesterol is high. Conclusion: The conclusion has enabled the researchers to determine the factor through multiple linear regression methods and contour plot analysis to give the best results for further clinical explore. [ABSTRACT FROM AUTHOR] |
| Databáze: |
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