scholarly journals A new phenotypic classification system for dyslipidemias based on the standard lipid panel

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Maureen Sampson ◽  
Rami A. Ballout ◽  
Daniel Soffer ◽  
Anna Wolska ◽  
Sierra Wilson ◽  
...  

Abstract Background Dyslipoproteinemias can be classified by their distinct lipoprotein patterns, which helps determine atherosclerotic cardiovascular disease (ASCVD) risk and directs lipid management but this has required advanced laboratory testing. Objective To develop a new algorithm for classifying lipoprotein disorders that only relies on the standard lipid panel. Methods Lipid thresholds for defining the different lipoprotein phenotypes were derived for Non-High-Density Lipoprotein-Cholesterol (NonHDL-C) and Triglycerides (TG) to be concordant when possible with the current US Multi-Society guidelines for blood cholesterol management. Results The new classification method categorizes patients into all the classical Fredrickson-like phenotypes except for Type III dysbetalipoproteinemia. In addition, a new hypolipidemic phenotype (Type VI) due to genetic mutations in apoB-metabolism is described. The validity of the new algorithm was confirmed by lipid analysis by NMR (N = 11,365) and by concordance with classification by agarose gel electrophoresis/beta-quantification (N = 5504). Furthermore, based on the Atherosclerosis Risk in Communities (ARIC) cohort (N = 14,742), the lipoprotein phenotypes differ in their association with ASCVD (TypeV>IIb > IVb > IIa > IVa > normolipidemic) and can be used prognostically as risk enhancer conditions in the management of patients. Conclusions We describe a clinically useful lipoprotein phenotyping system that is only dependent upon the standard lipid panel. It, therefore, can be easily implemented for increasing compliance with current guidelines and for improving the care of patients at risk for ASCVD.

2021 ◽  
Author(s):  
Maureen Sampson ◽  
Rami Ballout ◽  
Daniel Soffer ◽  
Anna Wolska ◽  
Sierra Wilson ◽  
...  

Abstract BACKGROUND Dyslipoproteinemias can be classified by their distinct lipoprotein patterns, which helps determine atherosclerotic cardiovascular disease (ASCVD) risk and directs lipid management but this has required advanced laboratory testing. OBJECTIVE To develop a new algorithm for classifying lipoprotein disorders that only relies on the standard lipid panel. METHODS Lipid thresholds for defining the different lipoprotein phenotypes were derived for Non-High-Density Lipoprotein-Cholesterol (NonHDL-C) and Triglycerides (TG) to be concordant when possible with the current US Multi-Society guidelines for blood cholesterol management. RESULTS The new classification method categorizes patients into all the classical Fredrickson-like phenotypes except for Type III dysbetalipoproteinemia. In addition, a new hypolipidemic phenotype (Type VI) due to genetic mutations in apoB-metabolism is described. The validity of the new algorithm was confirmed by lipid analysis by NMR (N = 11,365) and by concordance with classification by agarose gel electrophoresis/beta-quantification (N = 5504). Furthermore, based on the Atherosclerosis Risk in Communities (ARIC) cohort (N = 14742), the lipoprotein phenotypes differ in their association with ASCVD (TypeV > IIb > IVb > IIa > IVa > normolipidemic) and can be used prognostically as risk enhancer conditions in the management of patients. CONCLUSIONS We describe a clinically useful lipoprotein phenotyping system that is only dependent upon the standard lipid panel. It, therefore, can be easily implemented for increasing compliance with current guidelines and for improving the care of patients at risk for ASCVD.


2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Hesham Salah El Din Taha ◽  
Hala Mahfouz Badran ◽  
Hossam Kandil ◽  
Nabil Farag ◽  
Abbas Oraby ◽  
...  

Abstract Background Numerous epidemiological investigations and randomized clinical studies have determined that dyslipidemia is a major contributor to atherosclerotic cardiovascular disease (ASCVD). Consequently, the management of serum cholesterol and low-density lipoprotein levels has become a central objective in the effort to prevent cardiovascular events. Main body Many guidelines were issued by different organizations and societies to define patient risk and establish important recommendations for management strategies. Newer cholesterol-lowering agents (non-statin drugs) are described, and their use is directed primarily to secondary prevention in patients at very high risk of new ASCVD. Conclusion The present guidance summarizes the current methods for risk estimation and outlines the most recent data on lipid management in a simple user-friendly format, to improve physician awareness and help implement guidelines in the daily practice.


Author(s):  
Ruihai Zhou ◽  
George A. Stouffer ◽  
Sidney C. Smith

Hypercholesterolemia is a well-established risk factor for atherosclerotic cardiovascular disease (ASCVD). Low-density lipoprotein cholesterol (LDL-C) has been labeled as “bad” cholesterol and high-density lipoprotein cholesterol (HDL-C) as “good” cholesterol. The prevailing hypothesis is that lowering blood cholesterol levels, especially LDL-C, reduces vascular deposition and retention of cholesterol or apolipoprotein B (apoB)-containing lipoproteins which are atherogenic. We review herein the clinical trial data on different pharmacological approaches to lowering blood cholesterol and propose that the mechanism of action of cholesterol lowering, as well as the amplitude of cholesterol reduction, are critically important in leading to improved clinical outcomes in ASCVD. The effects of bile acid sequestrants, fibrates, niacin, cholesteryl ester transfer protein (CETP) inhibitors, apolipoprotein A-I and HDL mimetics, apoB regulators, acyl coenzyme A: cholesterol acyltransferase (ACAT) inhibitors, cholesterol absorption inhibitors, statins, and proprotein convertase subtilisin kexin 9 (PCSK9) inhibitors, among other strategies are reviewed. Clinical evidence supports that different classes of cholesterol lowering or lipoprotein regulating approaches yielded variable effects on ASCVD outcomes, especially in cardiovascular and all-cause mortality. Statins are the most widely used cholesterol lowering agents and have the best proven cardiovascular event and survival benefits. Manipulating cholesterol levels by specific targeting of apoproteins or lipoproteins has not yielded clinical benefit. Understanding why lowering LDL-C by different approaches varies in clinical outcomes of ASCVD, especially in survival benefit, may shed further light on our evolving understanding of how cholesterol and its carrier lipoproteins are involved in ASCVD and aid in developing effective pharmacological strategies to improve the clinical outcomes of ASCVD.


Antioxidants ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 362 ◽  
Author(s):  
Fumiaki Ito ◽  
Tomoyuki Ito

Lipid markers are well-established predictors of vascular disease. The most frequently measured lipid markers are total cholesterol, high-density lipoprotein (HDL)-cholesterol (HDL-C), LDL cholesterol (LDL-C), and triglyceride. HDL reduces atherosclerosis by multiple mechanisms, leading to a reduced risk of cardiovascular disease, and HDL-C, as a metric of HDL quantity, is inversely associated with cardiovascular disease, independent of LDL-C. However, the quality of the HDL appears to be more important than its quantity, because HDL loses its antiatherogenic functions due to changes in its composition and becomes “dysfunctional HDL”. Although there is evidence of the existence of “dysfunctional HDL”, biomarkers for monitoring dysfunctional HDL in clinical practice have not yet been established. In this review, we propose a new lipid panel for the assessment of dysfunctional HDL and lipoprotein-related atherosclerotic cardiovascular disease. The lipid panel includes the measurement of lipid peroxide and triglyceride contents within HDL particles.


2020 ◽  
pp. 001857872091038
Author(s):  
Roda Plakogiannis ◽  
Joseph J. Saseen ◽  
Abraham Stefanidis

Background: Since 2013 there have been cholesterol guideline changes impacting pharmacists’ clinical practice in managing lipid disorders. For more than a decade, cholesterol management was based on the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol Adult Treatment Panel III guideline, highlighting non-high-density lipoprotein cholesterol (non-HDL-C) as a secondary target in persons with triglycerides ≥200 mg/dL, after low-density lipoprotein cholesterol goal attainment. The 2013 American College of Cardiology and American Heart Association (ACC/AHA) guideline differed from the traditional management of dyslipidemia, in part no longer emphasizing the utilization of non-HDL-C levels. Objective: To measure pharmacists’ attitudes and behavior regarding utilization of non-HDL-C level calculation before and after the inception of the 2013 ACC/AHA cholesterol guideline. Methods: Pharmacists in the American College of Clinical Pharmacy ambulatory care listserv participated in an electronic survey in November 2013, before the inception of the 2013 ACC/AHA guideline, and again in October 2018. Results: We collected 391 usable responses from participants; 212 responses in 2013 and 179 responses in 2018. The before and after comparison revealed that respondents in 2013 reported significantly higher frequency of calculating non-HDL-C levels (mean = 1.88, SD = 0.80) than respondents in 2018 (mean = 1.66, SD = 0.79) ( P ≤ .001). Also, the frequency that non-HDL-C level calculation alters decisions regarding course of treatment was lower in the 2018 (mean = 3.50, SD = 1.06) in comparison with 2013 (mean = 3.77, SD = 0.88) ( P ≤ .05). Furthermore, pharmacists were more favorable toward the inclusion of non-HDL-C level calculation in 2018 (mean = 3.77, SD = 1.05) than in 2013 (mean = 3.13, SD = 1.33) ( P ≤ .001). Conclusion and Relevance: Clinical pharmacists’ utilization of non-HDL-C levels in the clinical management of patients with hypercholesterolemia has decreased, highlighting the need for further education on the importance of evaluating non-HDL-C levels in the very high-risk atherosclerotic cardiovascular disease population.


2020 ◽  
Vol 2020 (3) ◽  
Author(s):  
Parth N Patel ◽  
Robert P Giugliano

Atherosclerotic cardiovascular disease (ASCVD) is highly prevalent and a major contributor to morbidity and mortality worldwide. Elevated blood cholesterol is a key driver of risk for atherosclerotic events, and patients with established ASCVD comprise a specific high-risk population in which low-density lipoprotein cholesterol (LDL-C) lowering therapy is strongly endorsed by multiple guidelines. An increasing number of medications across several pharmacologic classes are available today in clinical practice. Therefore, guidance on the appropriate use of these interventions is necessary for cost-effective solutions to managing residual atherothrombotic risk. In this review we summarize the key evidence supporting LDL-C lowering as described in the most recent 2018 multi-society Blood Cholesterol Guidelines, and provide a framework for optimizing LDL-C lowering therapy in secondary prevention populations.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S179-S180
Author(s):  
Jason J Schafer ◽  
Roshni Patel ◽  
Nicholas V Hastain ◽  
Todd Miano

Abstract Background Patients living with HIV (PLWH) at risk for atherosclerotic cardiovascular disease (ASCVD) should receive risk reduction interventions recommended in current guidelines. This includes routine ASCVD risk assessments and when eligible, statins selected and dosed to achieve appropriate low-density lipoprotein cholesterol (LDL-C) reduction. Recent studies suggest that statins are underprescribed in PLWH, but none have assessed if eligible patients receive the correct statin intensity compared with uninfected controls. Methods This retrospective study evaluated statin eligibility and prescribing among consecutive patients in an HIV clinic and an internal medicine clinic at an urban, academic medical center from June-September 2018. To determine statin eligibility, the 2013 American College of Cardiology/American Heart Association guideline on treating blood cholesterol to reduce ASCVD risk was used. Patients aged 40–75 that had a lipid panel obtained within the last year were included. All patients were assessed to determine eligibility for and actual treatment with appropriate statin therapy. Characteristics of patients correctly and incorrectly treated with statins were compared with chi-square testing and predictors for receiving correct statin therapy were determined with logistic multivariable regression. Results A total of 221/300 study subjects were statin eligible (Table 1). While many eligible PLWH were receiving a statin (54/106), considerably fewer were on the correct statin intensity for their benefit group (33/106). In the univariate analysis (Table 2), correctly treated patients were less likely to be PLWH or female, and were more likely to have polypharmacy and hypertension. In the multivariable logistic regression analysis (Table 3), PLWH (OR 0.26, CI95 0.12–0.57)) were significantly less likely to receive correct statin therapy, while those with concomitant polypharmacy were significantly more likely to receive correct statin therapy (OR 5.52, CI95 1.94, 15.69). Conclusion This study reveals that PLWH may be at a substantial disadvantage in terms of receiving correct statin therapy for ASCVD risk reduction. This finding may be particularly important given the heightened risk for ASCVD in this patient population. Disclosures All authors: No reported disclosures.


Author(s):  
Sheikh Salahuddin Ahmed

Dyslipidemia is an important risk for the promotion of atherosclerosis and the development of cardiovascular disease (CVD). Currently available drugs can effectively lower the increased levels of blood cholesterol in most patients and prevent the development and progression of CVD. This paper focuses on the adverse cardiovascular effects produced by high blood cholesterols and the overall management of dyslipidemia in adults. Relevant guidelines and research papers published mainly after the year 2000 on the management of dyslipidemia were reviewed. High levels of low density lipoprotein cholesterol (LDL-C), or low levels of high density lipoprotein cholesterol (HDL-C), combined or independently are associated with increased risk of atherosclerotic cardiovascular disease (ASCVD). Apolipoprotein B (ApoB), an atherogenic lipoprotein has emerged recently as the key factor in the pathogenesis of atherosclerosis. High triglyceride (TG) levels are associated with acute and recurrent pancreatitis. The purpose of treating lipid disorders is to prevent the development of ASCVD and pancreatitis. The treatment of dyslipidemia includes multifactorial life style intervention and pharmacotherapy with lipid modifying drugs. Reduction of LDL-C is substantially associated with reduction of risk of ASCVD and evidences show that “lower is better” for LDL-C reduction.


2021 ◽  
Author(s):  
Maureen Sampson ◽  
Anna Wolska ◽  
Russell Warnick ◽  
Diego Lucero ◽  
Alan T Remaley

Abstract Background Increased small dense low-density lipoprotein-cholesterol (sdLDL-C) is a risk factor for atherosclerotic cardiovascular disease (ASCVD) but typically requires advanced lipid testing. We describe two new equations, first one for calculating large buoyant LDL-C (lbLDL-C), based only upon results from the standard lipid panel, and the second one for sdLDL-C. Methods Equations for sdLDL-C and lbLDL-C were generated with least-squares regression analysis using the direct Denka sdLDL-C assay as reference (n = 20 171). sdLDL-C was assessed as a risk-enhancer test in the National Heart and Nutrition Examination Survey (NHANES), and for its association with ASCVD in the Multi-Ethnic Study of Atherosclerosis (MESA). Results The newly derived equations depend on two terms, namely LDL-C as determined by the Sampson equation, and an interaction term between LDL-C and the natural log of triglycerides (TG). The lbLDL-C equation (lbLDLC=1.43 × LDLC-0.14 ×(ln⁡(TG)× LDLC)- 8.99) was more accurate (R2 = 0.933, slope = 0.94) than the sdLDL-C equation (sdLDLC=LDLC- lbLDLC; R2 = 0.745, slope = 0.73). Using the 80th percentile (46 mg/dL) as a cut-point, sdLDL-C identified in NHANES additional high-risk patients not identified by other risk-enhancer tests based on TG, LDL-C, apolipoprotein B, and nonHDL-C. By univariate survival-curve analysis, estimated sdLDL-C was superior to other risk-enhancer tests in predicting ASCVD events in MESA. After multivariate adjustment for other known ASCVD risk factors, estimated sdLDL-C had the strongest association with ASCVD compared to other lipid parameters, including measured sdLDL-C. Conclusions Estimated sdLDL-C could potentially be calculated on all patients tested with a standard lipid panel to improve ASCVD risk stratification.


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