Nwobodo N., Anyaehie U.B., Nwobodo E.D., Igwe S.A.
Department of Pharmacology and Therapeutics, College of Medicine, Enugu State University of Science and Technology, Enugu, Nigeria; Department of Physiology, College of Medicine, University of Nigeria, Enugu campus, Enugu, Nigeria; Department of Physiolog
Nwobodo, N., Department of Pharmacology and Therapeutics, College of Medicine, Enugu State University of Science and Technology, Enugu, Nigeria; Anyaehie, U.B., Department of Physiology, College of Medicine, University of Nigeria, Enugu campus, Enugu, Nigeria; Nwobodo, E.D., Department of Physiology, Faculty of Medicine, Nnamdi Azikiwe University, Nnewi, Nigeria; Igwe, S.A., Department of Pharmacology and Therapeutics, College of Medicine, Enugu State University of Science and Technology, Enugu, Nigeria
Summary estimates result in convenient expressions relating cholesterols to coronary heart disease (CHD) risk. Recent data from a population based cohort study noted that a summary estimate is the most powerful predictor of future CHD. In a randomized population based study, summary estimates involving the ratio T-C to HDL-C and LDL-C to HDL-C in healthy volunteers were examined alone or in the presence of joint information on individual levels of cholesterols. Standardized logistic regression model was applied in data analysis. Results revealed that the regression co-efficients for HDL-C, the ratios T-C/HDL-C and LDL-C/HDL-C were statistically significant (P<0.05); whereas the reverse is the case for T-C and LDL-C (P>0.05). Thus, summary estimates are strong predictors of CHD and very necessary in prompt identification of subjects at high risk of developing CHD who may benefit from lipid lowering drug therapy.
