Site is under construction

en Association of Low-Density Lipoprotein-Cholesterol and Its Small, Dense Phenotype with Six-Month Cardiovascular Morbidity بیوشیمی Biochemistry مقالات اصلی Original Article <div style="text-align: justify;">Background: Globally, cardiovascular diseases (CVDs) are the leading cause of death and disability. Elevated low-density lipoprotein-cholesterol (LDL-C) and more specifically, elevation of its small, dense phenotype (sdLDL-C) has been regarded as the key modifiable risk factors associated with atherogenesis. This study aimed to determine the association of LDL-C and sdLDL-C with the development of CVDs in the next six months to establish their predictive efficacy.  </div> <div style="text-align: justify;">Methods: A batch of 162 anonymized serum samples sent for analysis of lipid profile parameters, were classified into tests and controls based on the calculated LDL-C values obtained by Fried Ewald formula. Direct LDL-C was also estimated automatically using assay kits. Using the formula provided by Srisawasdi et al., sdLDL-C was then computed for all samples. Six months later, samples were deanonymized, and the lipid profiles were compared with cardiovascular outcomes of these patients, to determine which parameter </div> <div style="text-align: justify;">had the greatest correlation.  </div> <div style="text-align: justify;">Results: Four control group patients and three test group patients developed the outcome (any cardiovascular event) during the 6-month follow-up period. Binary logistic regression analysis showed that none of the lipid profile parameters: calculated LDL-C (OR= 0.99; 95% CI= 0.97-1.01; p= 0.826), direct LDL-C (OR= 0.99; 95% CI= 0.97-1.01; p= 0.818) or sdLDL-C (OR= 0.99; 95% CI= 0.93-1.04; p= 0.734), were significantly associated with the occurrence of outcome. The median % sdLDL-C both with respect to direct and calculated LDL-C was slightly higher in patients with the outcome.  </div> <div style="text-align: justify;">Conclusions: The levels of LDL-C or its individual phenotypes may not be used singly as indicator of cardiovascular morbidity in the next six months. </div> <div style="text-align: justify;"></div> Biomarkers, Cardiovascular diseases, Cholesterol, LDL, Lipoprotein, Myocardial infarction. 350 357 http://rbmb.net/browse.php?a_code=A-10-933-2&slc_lang=en&sid=1 Sufyan Ibrahim 100319475328460012269 100319475328460012269 No Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India. Anurupa Udupi 100319475328460012270 100319475328460012270 No Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India. Cleeta Rebeiro 100319475328460012271 100319475328460012271 No Department of Biochemistry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India. Varashree Bolar Suryakanth 100319475328460012272 100319475328460012272 No Department of Biochemistry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India. Asha Kamath 100319475328460012273 100319475328460012273 No Department of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, India. Revathi Panduranga Shenoy revathi.shenoy@manipal.edu. 100319475328460012274 100319475328460012274 Yes Department of Biochemistry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.