Friedewald's formula is the most frequently used formula for the calculation of serum lowdensity lipoprotein cholesterol from serum total cholesterol, serum triacylglycerol and serum high-density lipoprotein cholesterol. Most laboratories use serum triacylglycerol concentration of 400 mg/dl as upper cut-off limit for the calculation of LDL cholesterol, but a combination of serum triacylglycerol to total cholesterol ratio and serum triacylglycerol may have more advantages than serum triacylglycerol concentration alone to use Friedewald's formula effectively. The aim of this study was to determine the upper cut-off limit of serum triacylglycerol concentration and serum triacylglycerol to total cholesterol ratio to calculate LDL cholesterol using Friedewald's formula in Bangladeshi population. Serum total cholesterol, serum triacylglycerol, serum high-density lipoprotein cholesterol and serum lowdensity lipoprotein cholesterol were measured by direct method on 644 sera obtained from adult Bangladeshi study subjects after 12 hours of fasting. Serum low-density lipoprotein cholesterol was also calculated by using Friedewald formula. Low-density lipoprotein cholesterol obtained by Friedewald's formula in this study was compared with that obtained by direct method in different level of triacylglycerol and also in different triacylglycerol to total cholesterol ratio. Friedewald's formula underestimates low-density lipoprotein cholesterol when serum triacylglycerol concentration >300 mg/dL. But when direct serum low-density lipoprotein cholesterol was compared with low-density lipoprotein cholesterol calculated using Friedewald's formula up to serum triacylglycerol to total cholesterol ratio of 2, underestimation subsides, and the serum triacylglycerol level up to 700 mg/dl could be confidently included for the calculation of low-density lipoprotein cholesterol by Friedewald's formula. Friedewald's calculation formula can be confidently used up to serum triacylglycerol concentration of 700 mg/dl in Bangladeshi population, provided the serum triacylglycerol to total cholesterol ratio is two or less.

Hypothyroidism is a clinical syndrome resulting from a deficiency of thyroid hormones which, in turn, results in a generalized slowing down of metabolic processes. It is associated with many biochemical abnormalities including increased serum creatinine and uric acid levels. We reviewed more than 30 articles and a good number of textbooks to evaluate serum creatinine and uric acid levels in hypothyroid patients. We found both these parameters are significantly higher in hypothyroid patients. Chronic kidney diseases (CKDs) also affect thyroid function in many ways leading to decreased T3 and T4. So, it is important for clinicians to differentiate between chronic kidney diseases and hypothyroidism with respect to their causal and consequential entities. DOI: http://dx.doi.org/10.3329/bjmb.v3i2.13814 Bangladesh J Med Biochem 2010; 3(2): 61-63

Background: Uric acid is an independent risk factor for cardiovascular disease. Hospital admission for ischemic heart disease (IHD) is increasing rapidly in our country. Although studies were conducted abroad regarding association of serum uric acid with in-hospital outcomes in patients with acute coronary syndrome (ACS), no data is yet available to show the association in our country. Objective: The objective of this study was to assess the association of serum uric acid level on admission with in-hospital outcomes of the patients with ACS. Materials and Methods: This cross sectional comparative study was done in the Department of Cardiology, Dhaka Medical College Hospital (DMCH) from January to December 2012. After proper ethical consideration total 93 ACS patients were enrolled in the study by nonrandom sampling. Serum uric acid of all subjects was measured within 24 hours of admission. Then in-hospital outcomes were observed in all subjects. Results: The frequency of hyperuricemia among ACS patients was 24.7% (22.54% in male and 31.82% in female). Hyperuricemic patients significantly developed heart failure (30.4% vs 11.4%, p=0.032) and conduction defect (13.0% vs 1.4%, p=0.017) than normouricemic subjects. The mean ejection fraction was significantly lower in hyperuricemic patients than patients with normal uric acid level (50.87 ± 10.27% vs 55.94 ± 6.66%). The mean ± SD duration of hospital stay of hyperuricemic group was significantly longer in patients with ACS (8.26 ± 1.18 vs 7.51±1.18 days, p=0.010). Conclusion: The measurement of serum uric acid level, an easily available and inexpensive biochemical tool, might turn out as a valuable risk marker for prediction of in-hospital outcomes in patients with ACS. DOI: http://dx.doi.org/10.3329/jemc.v5i1.21492 J Enam Med Col 2015; 5(1): 15-22

Background: Iodine is essential for normal growth, mental development and survival of infants. Bangladesh is an iodine deficient region. Breast milk is the only source of iodine for exclusively breast-fed infants. Routine measurement of breast milk iodine concentration is very difficult in our country due to some social and religious barriers. So, we designed this study in our population using urinary iodine as the indicator for assessing iodine status. Objectives: To assess the iodine status of lactating mothers and their breast-fed infants and to propose a method on how to predict the iodine concentration in breast milk. Materials and Methods: This observational analytical study was carried out in the department of Biochemistry, Bangabandhu Sheikh Mujib Medical University, Dhaka with active cooperation of Kumudini Women’s Medical College Hospital, Mirzapur, Tangail involving fifty lactating mothers and their exclusively breast-fed infants. Early morning urine and breast milk samples were collected in dry and clean plastic container free from any chemical contamination. All statistical analyses were done by using SPSS (Statistical Programme for Social Science) 12 version software package for windows. Results: The median (range) urinary iodine concentration of lactating mothers and their breast-fed infants were 225.25 μg/L (61.50-530.00) and 225.75 μg/L (100.50-526.50). 96% (48) mothers had no biochemical iodine deficiency (UIE ≥100μg/L), only 4% (2) mothers had mild biochemical iodine deficiency (UIE 50-99μg/L). There was no biochemical deficiency of breast-fed infants. The median (range) breast-milk iodine concentration was 157 μg/L (54.50-431.50) which was more than three times of recommended minimum concentration (50 μg/L). Iodine in breast milk of lactating mothers positively correlated with their urinary iodine excretion (P<0.01). Infant’s urinary iodine positively correlated with iodine concentration in breast milk (P<0.01) and also positively correlated with urinary iodine excretion of lactating mothers. Conclusion: Lactating mothers and their breast-fed infants in this study were found iodine sufficient. Urinary iodine concentration of lactating mothers predicts the iodine content of their breast milk

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Background: Various formulas are available to estimate serum low-density lipoprotein (LDL) cholesterol. All of these are serum triglycerides (TG) dependent. But very recently de Cordova et al developed a simple formula (CF) to calculate LDL cholesterol without using serum TG and claimed it to be more accurate than Friedewald.s formula (FF). Objective: The objective of the present study was to evaluate the performance of the CF for the calculation of LDL cholesterol in a Bangladeshi population. Materials and Methods: Three hundred and sixty adult Bangladeshi subjects were purposively included in this study. Serum total cholesterol (TC), TG, high-density lipoprotein (HDL) cholesterol and LDL cholesterol were measured by direct automated methods. LDL cholesterol was also calculated by CF and FF. Results were expressed in conventional unit as mean ± SD and compared by two-tailed paired t test, bias against measured LDL cholesterol, Pearson's correlation coefficient (r), Passing & Bablok regression and accuracy within ±10% of the measured LDL cholesterol. Results: The mean values of directly measured LDL cholesterol, LDL cholesterol calculated by CF and FF were 117.7 ± 31.0, 111.8 ± 31.0 and 108.9 ± 39.7 mg/dL respectively. Bias of calculated LDL cholesterol against measured LDL cholesterol was -5.2% for CF and -9.6% for FF. The correlation coefficients of measured LDL cholesterol were 0.9796 (p<0.001) for CF and 0.9525 (p<0.001) for FF. Passing & Bablok regression yielded the equation y = 0.9938x - 6.2 for CF and y = 1.2774x - 40.9 for FF. Accuracy within ±10% of measured LDL cholesterol was 81% for CF and 49% for FF. Conclusion: This study revealed better performance of the de Cordova's formula than Friedewald's formula for approximate calculation of LDL cholesterol without using serum triglycerides. DOI: http://dx.doi.org/10.3329/jemc.v4i1.18062 J Enam Med Col 2014; 4(1): 10-14

Background: Friedewald’s formula (FF) is used worldwide to calculate low-density lipoprotein cholesterol (LDL-chol). But it has several shortcomings: overestimation at lower triglyceride (TG) concentrations and underestimation at higher concentrations. In FF, TG to very low-density lipoprotein cholesterol (VLDL-chol) ratio (TG/VLDL-chol) is considered as constant, but practically it is not a fixed value. Recently, by analyzing lipid profiles in a large population, continuously adjustable values of TG/VLDL-chol were used to derive a novel method (NM) for the calculation of LDL-chol. Objective: The aim of this study was to evaluate the performance of the novel method compared with direct measurement and regression equation (RE) developed for Bangladeshi population. Materials and Methods: In this cross-sectional comparative study we used lipid profiles of 955 adult Bangladeshi subjects. Total cholesterol (TC), TG, HDL-chol and LDL-chol were measured by direct methods using automation. LDL-chol was also calculated by NM and RE. LDL-chol calculated by NM and RE were compared with measured LDL-chol by twotailed paired t test, Pearson’s correlation test, bias against measured LDL-chol by Bland-Altman test, accuracy within ±5% and ±12% of measured LDL-chol and by inter-rater agreements with measured LDL-chol at different cut-off values. Results: The mean values of LDL-chol were 110.7 ± 32.0 mg/dL for direct measurement, 111.9 ± 34.8 mg/dL for NM and 113.2 ± 31.7 mg/dL for RE. Mean values of calculated LDL-chol by both NM and RE differed from that of measured LDL-chol (p<0.01 for NM and p<0.0001 for RE). The correlation coefficients of calculated LDL-chol values with measured LDL-chol were 0.944 (p<0.0001) for NM and 0.945 (p<0.0001) for RE. Bland- Altman plots showed good agreement between calculated and measured LDL-chol. Accuracy within ±5% of measured LDL-chol was 49% for NM, 46% for RE and within ±12% of measured LDL-chol was 79% for both NM and RE. Inter-rater agreements (?) between calculated and measured LDL-chol at LDL-chol <100 mg/dL, 100–130 mg/dL and >130 mg/dL were 0.816 vs 0.815, 0.637 vs 0.649 and 0.791 vs 0.791 for NM and RE respectively. Conclusion: This study reveals that NM and RE developed for Bangladeshi population have similar performance and can be used for the calculation of LDL-chol. DOI: http://dx.doi.org/10.3329/jemc.v5i1.21491 J Enam Med Col 2015; 5(1): 10-14