Assessment of sdLDL-C by Three Different Formula and Its Correlation with Clinical Variables Among Diabetes Individuals with and without Nephropathy

Desy Thayyil Menambath, Durga Rao Yella, Ashok Prabhu Khandige, Sudha Kuthethur, Nandini Mangalore

Abstract


BACKGROUND: Diabetes mellitus is a common disease worldwide which affects renal function. Cardiovascular morbidity and mortality in diabetes patients can be accelerated by dyslipidemia. Small dense lowdensity lipoprotein-cholesterol (sdLDL-C) is atherogenic and its predominance has been known as a cardiovascular risk factor. The study aimed to assess the validity of calculated sdLDL-C using three different formulae and its association with other clinical variables in diabetic patients with and without nephropathy, and also to determine the best suited formula to measure sdLDL-C.

METHODS: The study subjects were divided into two groups based on the amount of albumin excreted in the urine. Group I or the control group consisted of diabetic subjects without microalbuminuria, while group II consisted of diabetic subjects with microalbuminuria. Blood glucose, glycated haemoglobin (HbA1c), creatinine, total cholesterol (TC), triglyceride (TG), high-density lipoprotein-cholesterol (HDL-C), LDL-C and apoB were estimated. Three formulae used for the validation of calculated sdLDL-C were TG/HDL, sdLDL (mg/dL) = 0.580 (nonHDL) + 0.407 (direct-LDL-C) – 0.719 (calculated-LDL-C) – 12.05, and LDL-C/LDL apoB.

RESULTS: There was no significant difference in sdLDL-C levels of diabetic subjects with and without nephropathy. The sdLDL-C had strong correlation with TC, TG, LDL-C, very-low-density lipoprotein (VLDL), non-HDL and apoB in both study groups. ROC curve showed that LDL-C/LDL apoB derived sdLDL-C had better sensitivity (85%) and specificity (69%) compared to other two measures.

CONCLUSION: Though the calculated sdLDL-C do not predict the occurrence of nephropathy in diabetes subjects, it may still be used in conjunction with the traditional markers since it is cost effective. The LDL-C/LDL apoB formula is the best predictor of sdLDL-C among the three equations.

KEYWORDS: HDL-C, LDL-C, Microalbuminuria, sdLDL-C, T2DM


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References


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DOI: https://doi.org/10.18585/inabj.v13i2.1312

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