Clin Chem Lab Med 2006;44:1015–21.

The risk for cardiovascular disease is increased in all stages of the impairment of renal function. It is proposed that serum creatinine is a marker of diabetes and coronary artery disease (CAD) as well as the kidney function. to study the association of serum creatinine with the likelihood and severity of CAD. The study population consisted of 262 males and 266 females who were classified as CAD cases and controls according to the results of coronary angiography. Patients with CAD compared with the controls had increased levels of serum urea and creatinine. Serum creatinine showed significant positive correlation with male sex, hypertension and negative correlation with total- and HDL-cholesterol and apoAI. Serum urea, uric acid and potassium were the major determinants of creatinine. All hematological parameters were strong negative correlates of creatinine. None of markers of inflammation had significant correlation with creatinine. Creatinine was associated significantly with the prevalence [odds ratio of 1.79 (1.47-2.20), p<0.001] and severity of CAD [F(3,528)= 3.0, p=0.03]. Serum creatinine was excluded from the regression equation after adjustment for major risk factors. Serum creatinine has significant association with CAD, but the correlation is not independent. Creatinine have significant association with markers of kidney function and body water status, but not with markers of inflammation and insulin function.

Background: Low‐density lipoprotein cholesterol (LDLc) can be calculated or measured directly and their accordance is the subject of controversy.Objectives: The aim of this study was to identify the independent predictors of LDLc, to formulate the best equation for calculating LDLc and to evaluate the validity of it and the published formulas, including the new method with adjustable coefficient.Methods: The profile of serum lipids and (apo)lipoproteins of 310 subjects was used to determine the most accurate formula for calculating serum LDLc. Serum lipids, lipoproteins and apolipoproteins were measured by enzymatic, new homogenous and immunoturbidometric methods, respectively.Results: Multiple linear regression analysis indicates that total cholesterol, apoB, HDLc and triglyceride are independent predictors of LDLc. We proposed four new formulas to calculate LDLc. As total cholesterol (TC) is the major determinant of LDLc, it can be estimated simply as 0.545 of total cholesterol. Inclusion of HDLc, triglyceride, apoB and a constant value improved the equation slightly. The equation of: LDLc (mg/dl) = 0.75 TC − 0.5 HDLc − 0.1 TG had the lowest mean and SD of difference among all the methods examined here. LDLc was also calculated by the new modified Friedewald's equation using adjustable factor from Martin's table, but it did not improve the results significantly. LDLc gap was correlated significantly and positively with triglyceride and negatively with cholesterol or its subfractions.Conclusions: Our data suggest the simplest formula: LDLc = 0.545 TC or a more detailed: LDLc = 0.75 TC − 0.5 HDLc − 0.1 TG be used for calculating serum LDLc.