Journal of Laboratory Physicians
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ORIGINAL ARTICLE
Year : 2016  |  Volume : 8  |  Issue : 2  |  Page : 77-84

Advanced atherogenic index for the assessment of consolidated lipid risk in premature coronary artery disease patients in India


1 Department of Biochemistry, SGT Medical College, Hospital and Research Institute, Budhera, Gurgaon, Haryana, India
2 Department of Biochemistry, Maulana Azad Medical College, New Delhi, India
3 Department of Medicine, Maulana Azad Medical College, New Delhi, India

Correspondence Address:
Dr. Sanjiv Kumar Bansal
Department of Biochemistry, SGT Medical College, Hospital and Research Institute, Budhera, Gurgaon, Haryana
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0974-2727.180786

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Introduction: The high prevalence, severity, and prematurity of coronary artery disease (CAD) in the Indian population cannot be completely explained by the conventional lipid parameters and the existing lipid indices. Aims and Objectives: To calculate newly defined advanced atherogenic index (AAI) in premature CAD patients and compare it between cases and controls and Correlate its values with the existing indices. Material and Methods: One hundred and twenty premature CAD patients and an equal number of age and sex matched healthy individuals were included in this study. Lipid profile and nonconventional lipid parameters like oxidized Low density lipoprotein (OX LDL), small dense LDL (SD LDL), lipoprotein (a) apolipoprotein B (Apo B), and apolipoprotein A1 (Apo A1) were estimated and their values were used to define AAI and existing lipid indices like AI, lipid tetrad index (LTI) and lipid pentad index (LPI). Results: The mean age of cases and controls was 37.29 + 4.50 and 36.13 + 3.53 years, respectively. The value of AAI was highly significant in cases (3461.22 ± 45.20) as compared to controls (305.84 ± 21.80). AAI has shown better statistical significance and correlation (P < 0.0001, r = 0.737) as compared to the earlier indices such as AI (P < 0.01, r = 0.52), LTI (P < 0.001, r = 0.677) and LPI (P < 0.001, r = 0.622) in premature CAD. Kolmogorov D statistic and cumulative distribution function plot has shown that AAI can discriminate cases and controls more accurately as compared to the earlier indices. Conclusion: Statistically AAI appears to be a better marker of consolidated lipid risk in premature CAD patients as compared to the earlier indices.


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