scholarly journals Assessment of current National Cholesterol Education Program guidelines for total cholesterol, triglyceride, HDL-cholesterol, and LDL-cholesterol measurements

1998 ◽  
Vol 44 (8) ◽  
pp. 1650-1658 ◽  
Author(s):  
Samuel P Caudill ◽  
Gerald R Cooper ◽  
S Jay Smith ◽  
Gary L Myers
Keyword(s):  
Quality Control ◽  
High Risk ◽  
Total Cholesterol ◽  
Education Program ◽  
National Cholesterol Education Program ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Lipoprotein Cholesterol ◽  
Systematic Bias ◽  
Set Point

Abstract We examine the effect of systematic bias and random error, quality control, and intraperson biological variation on the National Cholesterol Education Program (NCEP) clinical classifications for reported lipid measurements. We consider misclassification to occur if a true lipid homeostatic set point is within a desirable range but the reported lipid value is in a high-risk range, or if a true lipid homeostatic set point is in a high-risk range but the reported lipid value is in a desirable range. To evaluate the overall adequacy of the NCEP guidelines to ensure correct patient classification, we construct operating characteristic curves for total cholesterol, triglycerides, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol. We demonstrate that if laboratories are meeting the NCEP guidelines for inherent bias and analytic precision and are using standard quality-control (QC) procedures incorporating at least two QC samples per analytical run from each of two QC pools (for a total of 4 QC samples), the current NCEP guidelines are adequate to ensure (probability >0.90) correct patient classifications regardless of the size of the systematic bias of the laboratory or increased random analytic error. Thus we suggest that at least two concentrations of QC material be included in the QC scheme to ensure that the measurement system is operating within desired specifications across the entire range of desirable and high-risk lipid concentrations and to ensure with high probability that patients are correctly classified.

scholarly journals Normal Non-HDL Cholesterol, Low Total Cholesterol, and HDL Cholesterol Levels in Sickle Cell Disease Patients in the Steady State: A Case-Control Study of Tema Metropolis

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Richard K. D. Ephraim ◽  
Patrick Adu ◽  
Edem Ake ◽  
Hope Agbodzakey ◽  
Prince Adoba ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Steady State ◽  
Sickle Cell Disease ◽  
Total Cholesterol ◽  
Sickle Cell ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Lipoprotein Cholesterol ◽  
Cell Disease ◽  
Cross Sectional

Background.Abnormal lipid homeostasis in sickle cell disease (SCD) is characterized by defects in plasma and erythrocyte lipids and may increase the risk of cardiovascular disease. This study assessed the lipid profile and non-HDL cholesterol level of SCD patients.Methods.A hospital-based cross-sectional study was conducted in 50 SCD patients, in the steady state, aged 8–28 years, attending the SCD clinic, and 50 healthy volunteers between the ages of 8–38 years. Serum lipids were determined by enzymatic methods and non-HDL cholesterol calculated by this formula: non-HDL-C = TC-HDL-C.Results.Total cholesterol (TC) (p=0.001) and high-density lipoprotein cholesterol (HDL-C) (p<0.0001) were significantly decreased in cases compared to controls. The levels of non-HDL-C, low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) were similar among the participants. The levels of decrease in TC and HDL were associated with whether a patient was SCD-SS or SCD-SC. Systolic blood pressure and diastolic blood pressure were each significantly associated with increased VLDL [SBP,p=0.01, OR: 0.74 (CI: 0.6–0.93); DBP,p=0.023, OR: 1.45 (CI: 1.05–2.0)].Conclusion.Dyslipidemia is common among participants in this study. It was more pronounced in the SCD-SS than in SCD-SC. This dyslipidemia was associated with high VLDL as well as increased SBP and DBP.

scholarly journals Study on the influence of 7-β-hydroxy-γ-aryloxypropylxanthinyl-8-thioalkanic acid derivatives on the lipid metabolism in experiment

2021 ◽  
Vol 23 (3) ◽  
pp. 411-416
Author(s):  
I. M. Bilai ◽  
M. I. Romanenko ◽  
D. H. Ivanchenko
Keyword(s):  
Side Effects ◽  
Total Cholesterol ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Lipoprotein Cholesterol ◽  
Atherogenic Index ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Xanthine Derivatives

Statin side effects are not a rare occurrence, in particular dyspeptic disorders, insomnia, headache, skin erythema, rash are often noted. All of this determines scientists to find new effective and low-toxic hypolipidemic agents. Various natural and synthetic xanthine derivatives have been recognized as therapeutically potential compounds and reported to control various diseases. Therefore, the study of new xanthine derivatives and their hypolipidemic effects, which would have a significant therapeutic effect with minimal side effects, is relevant. The aim of the study was to examine the effect of 7-β-hydroxy-γ-aryloxypropylxanthinyl-8-thioalkanic acid derivatives on lipidogram parameters in experimental laboratory rats. Materials and methods. The objects of the study were 7-β-hydroxy-γ-aryloxypropylxanthinyl-8-thioalkanic acid derivatives. The experiments were performed in white laboratory Wistar rats weighing 180–220 g. Experimental modeling of hyperlipidemia – tween model: intraperitoneal administration of tween-80 at a dose of 200 mg/100 g body weight. The test compounds were administered orally, simultaneously with tween, at a dose of 1/10 of LD50 (previously calculated by Prozorovsky express method) for 6 days. The following indicators of lipidogram were determined: total cholesterol (TC), high-density lipoprotein cholesterol (HDL cholesterol), low-density lipoprotein cholesterol (LDL cholesterol), triglycerides (TG) and atherogenic index of plasma: TC – HDL cholesterol / HDL cholesterol. The experiments were carried out with respect to Bioethical rules and norms. Results. The studies have shown data on the hypolipidemic activity of 7-β-hydroxy-γ-aryloxypropylxanthinyl-8-thioalkane acid derivatives. According to the conditional efficiency index Ʃ, which included the overall percentage of the following indicators – total cholesterol, low-density lipoprotein cholesterol and triglycerides, the leading compounds were 2439 (87.47 %), 6047 (82.30 %). The reference drug atorvastatin had a value of 82.98 %. Conclusions. The major compound was 2439 identified among all compared to the control group. The prospect of further research is a more detailed study on the ability of xanthine derivatives to exhibit hypolipidemic effects and to influence oxidative stress in various hyperlipidemic models.

Abstract 155: Evaluation of Dyslipidemia Control and Its Risk Factors of Cardiac Outpatients

2016 ◽  
Vol 9 (suppl_2) ◽  
Author(s):  
Iman Nazar Talib Al-Ani ◽  
Hadeer Akram AbdulRazzaq Al-Ani ◽  
Hanan Hussein ◽  
Syed Azhar Syed Sulaiman ◽  
Aseel Hadi Abdulameer Al-Hashimi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Total Cholesterol ◽  
Smoking Status ◽  
Demographic Data ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Asian Population ◽  
Hdl Cholesterol ◽  
Optimal Level ◽  
Lipoprotein Cholesterol

Objective: is to assess the dyslipidemia control and demographic differences in lipid patterns among dyslipidemic cardiac patients. Method: data based a retrospective analysis of 504 persons (age mean 58.16 ± 11.119 years) was conducted in Malaysia which estimated the lipid abnormalities in statin-treated patients. Demographic data including age, race, alcoholic and smoking status were collected. Lipid profiles including triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured. Results: a desirable level of (TC) and (TG) were 62.2% and 54.4% respectively, optimal level of (LDL-C) was 66.5% and the normal level of (HDL-C) was 54.2%. Risk factor analysis of dyslipidemia was done with a primary focus on the possible impact of statin type, gender, race and dyslipidemia type. Atorvastatin was significantly more effective for primary dyslipidemia than simvastatin and lovastatin in HDL cholesterol ( p < 0.002), while in LDL cholesterol (p = 0.001) and total cholesterol (p < 0.03) simvastatin was significantly found more effective for primary dyslipidemia. A significant correlation emerged between gender and statin type in HDL cholesterol (p < 0.02) and total cholesterol TC (p < 0.001), atorvastatin is found more effective to be used by males than females. A correlation was also significant between gender and dyslipidemia type in HDL cholesterol (p < 0.01). Results for triglyceride reported a significant relationship between age, race and statin type (p < 0.001), atorvastatin was found to be more effective among Chinese while lovastatin was more effective among Indians. Finally 18.2% abnormality of HDL was explained by interactions of risk factors: first statin type and dyslipidemia type, second for gender and dyslipidemia type and the third was gender and statin type. Conclusions: more than 50% of cardiac outpatients were in an acceptable range of lipid profile evaluation. This could support the need for increasing attention to basic monitoring of cardiovascular risk factors in these dyslipidemic patients particularly in Asian population.

scholarly journals Reference Intervals (RIs) of Lipid Parameters for Nepalese Population

2018 ◽  
Vol 6 (4) ◽  
pp. 366-372
Author(s):  
R.V. Mahato ◽  
R.K. Singh ◽  
A. M. Dutta ◽  
K. Ichihara ◽  
M. Lamsal
Keyword(s):  
Total Cholesterol ◽  
Reference Values ◽  
Clinical Laboratory ◽  
Local Population ◽  
Density Lipoprotein ◽  
Physical Exertion ◽  
Hdl Cholesterol ◽  
Reference Interval ◽  
Reference Intervals ◽  
Lipoprotein Cholesterol

Introduction: Reference interval (RIs) is the range of values provided by laboratory scientists in a convenient and practical form to support clinician in interpreting observed values for diagnosis, treatment and monitoring of a disease. Laboratories in Nepal uses RIs, provided in the kit inserts by the manufacturers or from the scientific literature, established for western/European population. It is well known that population across the globe differs physiologically, genetically; race, ethnically, lifestyle, food habits and diet which have great impact on the reference values. Thus, it is inappropriate to use RIs that do not represent the local population. This approach highlights for establishing reference values in Nepalese population using the IFCC-CRIDL guidelines published in (C28-A3). Objectives: The objective of this study is to analyze blood lipids concentration in apparently healthy Nepalese population to set up reference values for total cholesterol (TC), triglycerides (TG), High Density Lipoprotein-cholesterol (HDL-C) and Low Density Lipoprotein-cholesterol (LDL-C) and compare with the internationally recommended values. Methods: Reference individuals selected from healthy volunteers according to the IFCC/C-RIDL protocol in (C28 –A3). Volunteers were requested to avoid excessive physical exertion/exercise/excessive eating and drinking and fast overnight for 10-12 hour. Blood samples were collected from 120 subjects from each five centers of the country between 7:00-10:00 am, serum were separated and refrigerated at -20 in a cryo-vials. Finally, 617 samples were transported to Yamaguchi University, Graduate School of Medicine, Ube, Japan for analysis in dry Ice and 30 parameters were measured by fully automated biochemistry analyzer, Beckman Coulter (BC480) in the clinical laboratory. Results: A reference interval for each parameter was calculated from the 95% reference intervals ranging from 2.5% and 97.5% percentiles and, arithmetic mean + 2 SD were also calculated. The 95% reference range for total cholesterol (2.53-6.14), triglyceride was(0.42-3.32),for HDL Cholesterol was (0.28-1.46), for LDL was(1.05-4.00) and for VLDL was (0.054-0.92) for Nepalese population. Conclusion: Nepalese clinicians can take into consideration of reference lipid values of this study for diagnosis, treatment and monitoring of disease. Int. J. Appl. Sci. Biotechnol. Vol 6(4): 366-372

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