Dataset Information

Non-HDL cholesterol shows improved accuracy for cardiovascular risk score classification compared to direct or calculated LDL cholesterol in a dyslipidemic population.

ABSTRACT:

Background

Our objective was to evaluate the accuracy of cardiovascular disease (CVD) risk score classification by direct LDL cholesterol (dLDL-C), calculated LDL cholesterol (cLDL-C), and non-HDL cholesterol (non-HDL-C) compared to classification by reference measurement procedures (RMPs) performed at the CDC.

Methods

We examined 175 individuals, including 138 with CVD or conditions that may affect LDL-C measurement. dLDL-C measurements were performed using Denka, Kyowa, Sekisui, Serotec, Sysmex, UMA, and Wako reagents. cLDL-C was calculated by the Friedewald equation, using each manufacturer's direct HDL-C assay measurements, and total cholesterol and triglyceride measurements by Roche and Siemens (Advia) assays, respectively.

Results

For participants with triglycerides<2.26 mmol/L (<200 mg/dL), the overall misclassification rate for the CVD risk score ranged from 5% to 17% for cLDL-C methods and 8% to 26% for dLDL-C methods when compared to the RMP. Only Wako dLDL-C had fewer misclassifications than its corresponding cLDL-C method (8% vs 17%; P<0.05). Non-HDL-C assays misclassified fewer patients than dLDL-C for 4 of 8 methods (P<0.05). For participants with triglycerides≥2.26 mmol/L (≥200 mg/dL) and<4.52 mmol/L (<400 mg/dL), dLDL-C methods, in general, performed better than cLDL-C methods, and non-HDL-C methods showed better correspondence to the RMP for CVD risk score than either dLDL-C or cLDL-C methods.

Conclusions

Except for hypertriglyceridemic individuals, 7 of 8 dLDL-C methods failed to show improved CVD risk score classification over the corresponding cLDL-C methods. Non-HDL-C showed overall the best concordance with the RMP for CVD risk score classification of both normal and hypertriglyceridemic individuals.

SUBMITTER: van Deventer HE

PROVIDER: S-EPMC4684263 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

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Non-HDL cholesterol shows improved accuracy for cardiovascular risk score classification compared to direct or calculated LDL cholesterol in a dyslipidemic population.

van Deventer Hendrick E HE Miller W Greg WG Myers Gary L GL Sakurabayashi Ikunosuke I Bachmann Lorin M LM Caudill Samuel P SP Dziekonski Andrzej A Edwards Selvin S Kimberly Mary M MM Korzun William J WJ Leary Elizabeth T ET Nakajima Katsuyuki K Nakamura Masakazu M Shamburek Robert D RD Vetrovec George W GW Warnick G Russell GR Remaley Alan T AT

Clinical chemistry 20110112 3

<h4>Background</h4>Our objective was to evaluate the accuracy of cardiovascular disease (CVD) risk score classification by direct LDL cholesterol (dLDL-C), calculated LDL cholesterol (cLDL-C), and non-HDL cholesterol (non-HDL-C) compared to classification by reference measurement procedures (RMPs) performed at the CDC.<h4>Methods</h4>We examined 175 individuals, including 138 with CVD or conditions that may affect LDL-C measurement. dLDL-C measurements were performed using Denka, Kyowa, Sekisui, ...[more]

PMID: 21228254

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Project description:AimsThe total cholesterol (TC)/high-density lipoprotein (HDL) cholesterol ratio may carry additional information not available in more commonly used single cholesterol measures. Analysis of discordance between lipid parameters might help assess the impact of such additional information on the risk of atherosclerotic cardiovascular disease. We aimed to investigate the role of the TC/HDL-cholesterol ratio in determining atherosclerotic cardiovascular disease risk when discordant with low-density lipoprotein (LDL) cholesterol and non-HDL-cholesterol.MethodsWe studied 14,403 Atherosclerosis Risk in Communities (ARIC) study participants who were free of atherosclerotic cardiovascular disease at baseline. TC/HDL-cholesterol discordance with LDL-cholesterol (estimated by the novel Martin/Hopkins method) and non-HDL-cholesterol was assessed at five visits and determined by being at or above the median for each lipid parameter. We constructed Cox proportional hazard models to estimate the risk for incident atherosclerotic cardiovascular disease events associated with each lipid concordance/discordance category using a time-varying approach.ResultsMean age of participants was 54.1 years, 56% women and 25% black. There were 2634 atherosclerotic cardiovascular disease events over a median (interquartile range) follow-up of 24.2 (16.0-25.4) years. Among individuals with LDL-cholesterol and non-HDL-cholesterol less than the median, 26% and 21% had discordant TC/HDL-cholesterol at or above the median, respectively. These individuals had a 24% (hazard ratio (HR) 1.24, 95% confidence interval (CI) 1.09, 1.41) and 29% (HR 1.29, 95% CI 1.13, 1.46) greater risk of incident atherosclerotic cardiovascular disease, respectively, compared to those with TC/HDL-cholesterol less than the median after multivariable adjustment. In individuals with diabetes with LDL-cholesterol or non-HDL-cholesterol less than the median, discordant TC/HDL-cholesterol at or above the median was more prevalent at 48% and 38%, respectively.ConclusionClinically significant discordance exists between TC/HDL-cholesterol, available from the standard lipid profile, and the routinely used non-HDL-cholesterol and LDL-cholesterol. Such discordance may help inform atherosclerotic cardiovascular disease risk management, particularly in individuals with diabetes in whom discordance is more common.

Project description:BackgroundA couple of studies indicate a favorable impact of lupin protein on cardiovascular risk factors in humans. These studies, however, used relatively high doses of > 33 g/d, which can hardly be consumed under physiological conditions. Therefore, we investigated the effect of 25 g/d lupin protein isolate (LPI) on selected cardiovascular markers and on serum amino acids.MethodsA total of 33 hypercholesterolemic subjects participated in a randomized, controlled, double-blind crossover study. LPI and the active comparator milk protein isolate (MPI) were incorporated in protein drinks and consumed over 8 wk separated by a 4 wk washout period. Anthropometric data, blood pressure, and nutrient intake were assessed at baseline and after 8 wk of both protein interventions. Blood was sampled at baseline, wk 4 and wk 8. All 33 subjects were included in final statistical analyses using repeated measures ANOVA with the general linear model or using linear mixed model.ResultsExcept for higher HDL cholesterol at wk 4 of LPI (P ≤ 0.036), anthropometric parameters, blood pressure, and plasma lipids did not differ among LPI and MPI intervention. Compared to baseline, the primary outcome LDL cholesterol was significantly reduced after 4 wk of both interventions (P ≤ 0.008), while LDL:HDL cholesterol ratio was decreased only by LPI (P = 0.003). These time effects were restricted to subjects with higher hypercholesterolemia and disappeared after 8 wk. Blood pressure was reduced after 8 wk of LPI (P ≤ 0.044). Almost all serum amino acids were higher at wk 4 but not at wk 8 of MPI compared to LPI. Following 4 wk and 8 wk of LPI intervention, most amino acids remained unchanged. Both interventions caused a slight, but significant rise in body weight and body fat after 8 wk (P ≤ 0.045).ConclusionIn conclusion, 25 g LPI can beneficially modulate plasma LDL cholesterol at least over short-term. Using appropriate dietetic conditions that improve consumer compliance and avoid changes in energy intake as well as in body composition, lupin protein could positively impact cardiovascular risk factors particularly in individuals with higher hypercholesterolemia.Trial registrationClinicalTrials.gov: NCT01304992.

Dataset Information

Non-HDL cholesterol shows improved accuracy for cardiovascular risk score classification compared to direct or calculated LDL cholesterol in a dyslipidemic population.

Background

Methods

Results

Conclusions

Publications

Non-HDL cholesterol shows improved accuracy for cardiovascular risk score classification compared to direct or calculated LDL cholesterol in a dyslipidemic population.

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