scholarly journals The Effects of Linoleic Acid Consumption on Lipid Risk Markers for Cardiovascular Disease

2021 ◽  
Author(s):  
Erik Froyen
Keyword(s):  
Cardiovascular Disease ◽  
Fatty Acids ◽  
Linoleic Acid ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Risk Markers ◽  
Cvd Risk ◽  
Acid Consumption

Cardiovascular disease (CVD) is the number one contributor to death in the United States and worldwide. Lipid risk markers for CVD include high serum concentrations of total cholesterol, low-density lipoprotein cholesterol (LDL-C), very-low-density lipoprotein cholesterol (VLDL-C), lipoprotein (a), and triglycerides, as well as low serum concentrations of high-density lipoprotein cholesterol (HDL-C). Additional factors to assess CVD risk include apolipoprotein A (associated with HDL) and apolipoprotein B (associated with LDL). A suggested dietary strategy to decrease these risk factors is to replace a portion of saturated fatty acids with unsaturated fatty acids – especially polyunsaturated fatty acids (PUFAs). One PUFA, in particular, is the essential omega-6 PUFA linoleic acid, which has been demonstrated to affect these CVD risk markers. Therefore, this chapter will discuss the effects of linoleic acid consumption on lipid risk markers for CVD in healthy individuals, the associated mechanisms, and dietary recommendations to decrease CVD risk.

scholarly journals Determining propensity for sub-optimal low-density lipoprotein cholesterol response to statins and future risk of cardiovascular disease

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260839
Author(s):  
Stephen Franklin Weng ◽  
Ralph Kwame Akyea ◽  
Kenneth KC Man ◽  
Wallis C. Y. Lau ◽  
Barbara Iyen ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
High Risk ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Low Risk ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Cvd Risk ◽  
Statin Response

Background Variability in low-density lipoprotein cholesterol (LDL-C) response to statins is underappreciated. We characterised patients by their statin response (SR), baseline risk of cardiovascular disease (CVD) and 10-year CVD outcomes. Methods and results A multivariable model was developed using 183,213 United Kingdom (UK) patients without CVD to predict probability of sub-optimal SR, defined by guidelines as <40% reduction in LDL-C. We externally validated the model in a Hong Kong (HK) cohort (n = 170,904). Patients were stratified into four groups by predicted SR and 10-year CVD risk score: [SR1] optimal SR & low risk; [SR2] sub-optimal SR & low risk; [SR3] optimal SR & high risk; [SR4] sub-optimal SR & high risk; and 10-year hazard ratios (HR) determined for first major adverse cardiovascular event (MACE). Our SR model included 12 characteristics, with an area under the curve of 0.70 (95% confidence interval [CI] 0.70–0.71; UK) and 0.68 (95% CI 0.67–0.68; HK). HRs for MACE in predicted sub-optimal SR with low CVD risk groups (SR2 to SR1) were 1.39 (95% CI 1.35–1.43, p<0.001; UK) and 1.14 (95% CI 1.11–1.17, p<0.001; HK). In both cohorts, patients with predicted sub-optimal SR with high CVD risk (SR4 to SR3) had elevated risk of MACE (UK HR 1.36, 95% CI 1.32–1.40, p<0.001: HK HR 1.25, 95% CI 1.21–1.28, p<0.001). Conclusions Patients with sub-optimal response to statins experienced significantly more MACE, regardless of baseline CVD risk. To enhance cholesterol management for primary prevention, statin response should be considered alongside risk assessment.

Changes in the prevalence of lipodystrophy, metabolic syndrome and cardiovascular disease risk in HIV-infected men

Sexual Health ◽  
2015 ◽  
Vol 12 (3) ◽  
pp. 240 ◽  
Author(s):  
Julia Price ◽  
Jennifer Hoy ◽  
Emma Ridley ◽  
Ibolya Nyulasi ◽  
Eldho Paul ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Hiv Infection ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Cvd Risk ◽  
Increased Risk

Background Although it significantly improves HIV-related outcomes, some components of combination antiretroviral therapy (ART) cause lipodystrophy syndrome. The composition of combination ART has changed over time but the impact on lipodystrophy prevalence is unknown. Methods: One hundred HIV-infected males underwent dual-energy X-ray absorptiometry scanning, serum lipid testing and completed a questionnaire in a cross-sectional study in 2010. Thirty-four participants of a 1998 study cohort were re-evaluated in 2010. The same parameters were used to define and compare lipodystrophy, metabolic syndrome and cardiovascular disease (CVD) risk in the two time periods. Results: In 2010, the prevalence of lipodystrophy was lower when compared with 1998 (53% v. 69%, P = 0.012), despite higher mean age (51.8 v. 42.1 years, P < 0.0001), duration of HIV (165 v. 86 months, P < 0.0001), ART exposure (129 v. 38 months, P < 0.0001), CD4+ cell count (601 v. 374 cells µL−1, P < 0.0001) and waist circumference (95.5 v. 89.9 cm P < 0.0001). Cholesterol (5.0 v. 5.6 mmol L−1, P = 0.0001) and triglycerides (1.9 v. 3.7 mmol L−1, P < 0.0001) were significantly lower in 2010. Factors associated with an increased risk of lipodystrophy in 2010 were duration of HIV infection and low-density lipoprotein cholesterol, whereas current tenofovir or abacavir use was associated with a decreased risk of lipodystrophy. On multivariate analysis low-density lipoprotein cholesterol (OR, 2.65; CI, 1.4–4.9) remained significant for an increased risk and current tenofovir or abacavir use with reduced risk of lipodystrophy (OR, 0.096; CI, 0.011–0.83). In 2010 there was a higher prevalence of metabolic syndrome (33 v. 28%) and higher median Framingham CVD risk (9.9% (5.7–14.6) v. 8.2% (4.5–12.9). Conclusion: Despite ageing and longer duration of HIV infection and ART exposure, the prevalence of lipodystrophy in HIV-infected men significantly declined over a 12-year period. However, a trend exists toward a higher prevalence of metabolic syndrome and increased CVD risk.

Eligibility for PCSK9 inhibitors based on the 2019 ESC/EAS and 2018 ACC/AHA guidelines

2020 ◽  
pp. 204748732094010
Author(s):  
Konstantinos C Koskinas ◽  
Baris Gencer ◽  
David Nanchen ◽  
Mattia Branca ◽  
David Carballo ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
High Risk ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Atherosclerotic Cardiovascular Disease ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Coronary Syndrome ◽  
Coronary Syndromes

Aims The 2018 American College of Cardiology (ACC)/American Heart Association (AHA) and 2019 European Society of Cardiology (ESC)/European Atherosclerosis Society (EAS) lipid guidelines recently updated their recommendations regarding proprotein convertase subtilisin/kexin-9 inhibitors (PCSK9i). We assessed the potential eligibility for PCSK9i according to the new guidelines in patients with acute coronary syndromes. Methods and results We analysed a contemporary, prospective Swiss cohort of patients hospitalised for acute coronary syndromes. We modelled a statin intensification effect and an incremental ezetimibe effect on low-density lipoprotein-cholesterol levels among patients who were not on high-intensity statins or ezetimibe. One year after the index acute coronary syndrome event, treatment eligibility for PCSK9i was defined as low-density lipoprotein-cholesterol of 1.4 mmol/l or greater according to ESC/EAS guidelines. For ACC/AHA guidelines, treatment eligibility was defined as low-density lipoprotein-cholesterol of 1.8 mmol/l or greater in the presence of very high-risk atherosclerotic cardiovascular disease, defined by multiple major atherosclerotic cardiovascular disease events and/or high-risk conditions. Of 2521 patients, 93.2% were treated with statins (53% high-intensity statins) and 7.3% with ezetimibe at 1 year, and 54.9% had very high-risk atherosclerotic cardiovascular disease. Low-density lipoprotein-cholesterol levels less than 1.8 mmol/l and less than 1.4 mmol/l at 1 year were observed in 37.5% and 15.7% of patients, respectively. After modelling the statin intensification and ezetimibe effects, these numbers increased to 76.1% and 49%, respectively. The proportion of patients eligible for PCSK9i was 51% according to ESC/EAS criteria versus 14% according to ACC/AHA criteria. Conclusions In this analysis, the 2019 ESC/EAS guidelines rendered half of all post-acute coronary syndrome patients potentially eligible for PCSK9i treatment, as compared to a three-fold lower eligibility rate based on the 2018 ACC/AHA guidelines.

Abstract P43: Frequency and Predictors of Low-Density Lipoprotein Cholesterol Control and Appropriate Response to Elevated LDL-C Levels in Patients with Cardiovascular Disease

2011 ◽  
Vol 4 (suppl_2) ◽  
Author(s):  
Salim S Virani ◽  
Lechauncy D Woodard ◽  
Supicha Sookanan ◽  
Cassie R Landrum ◽  
Tracy H Urech ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Low Density Lipoprotein ◽  
Medication Possession Ratio ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Lipid Lowering ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
To Receive

Background: Although current cholesterol performance measures define good quality as low density lipoprotein cholesterol (LDL-C) levels < 100mg/dl in cardiovascular disease (CVD) patients, they provide a snap shot at one time point and do not inform whether an appropriate action was taken to manage elevated LDL-C levels. We assessed frequency and predictors of this appropriate response (AR). Methods: We used administrative data to assess 22,902 CVD patients receiving care in a Veterans Affairs network of 7 hospitals and affiliated clinics. We determined the proportion of CVD patients at LDL-C goal <100 mg/dl, and the proportion of patients with uncontrolled LDL-C levels (>100 mg/dl) who had an AR [defined as the initiation or dosage increase of a lipid lowering medication (LLM), addition of a new LLM, receipt of maximum dosage or >1 LLM, or LDL-C reading <100 mg/dl] at 45 days follow-up. Logistic regression was performed to evaluate facility, provider and patient characteristics associated with AR. Results: LDL-C levels were at goal in 16,350 (71.4%) patients. An additional 2,110 (9.2%) had an AR at 45 days of follow-up. Controlling for clustering between facilities and patient's illness severity, history of diabetes (OR 1.18, 95% CI 1.03-1.35), hypertension (OR 1.21, 95% CI 1.02-1.44), patients showing good medication adherence (medication possession ratio > 0.8) [OR 2.29, 95% CI 1.99-2.64] were associated with AR. Older CVD patients (age >75 years) were less likely to receive AR (OR 0.60, 95% CI 0.52-0.70). Teaching vs. non-teaching facility (p=0.40), physician vs. non-physician provider (p=0.14), specialist vs. non-specialist primary care provider (p=0.12), and patient's race (p=0.12) were not predictors of AR. Conclusion: Among patients with CVD and LDL-C above guideline recommended levels, only one-third receive AR. Diabetic and hypertensive CVD patients are more likely to receive AR, whereas older Veterans with CVD receive AR less often likely reflecting providers' belief of lack of efficacy from treatment intensification in older CVD patients. Our findings are important for quality improvement and policy making initiatives as they provide more actionable information compared with isolated LDL-C goal attainment as a quality indicator.

Abstract P181: Atherogenic Lipoproteins and Incident Atherosclerotic Cardiovascular Disease in the Framingham Offspring Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Hiroaki Ikezaki ◽  
Elise Lim ◽  
Ching-Ti Liu ◽  
L Adrienne Cupples ◽  
Bela F Asztalos ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Atherosclerotic Cardiovascular Disease ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Significant Information ◽  
Ascvd Risk

Introduction: Elevated plasma low-density lipoprotein cholesterol (LDL-C), small-dense LDL-C (sdLDL-C), LDL-triglyceride (LDL-TG), triglycerides (TG), remnant-lipoprotein cholesterol (RLP-C), triglyceride-rich lipoprotein-C (TRL-C), very low-density lipoprotein cholesterol (VLDL-C), and lipoprotein(a) [Lp(a)] levels have been associated with increased atherosclerotic cardiovascular disease (ASCVD) risk. However, these parameters have not been included in risk factors for ASCVD in the pooled cohort equation (PCE). Hypothesis: We assessed the hypothesis that these atherogenic lipoprotein parameters add significant information for ASCVD risk prediction in the Framingham Offspring Study. Methods: We evaluated 3,147 subjects without ASCVD at baseline (mean age 58 years) from participants of Framingham Offspring Study cycle 6, 677 (21.5%) of whom developed inclusive ASCVD over 16 years. Biomarkers of risk were assessed in frozen plasma samples. Total cholesterol, TG, HDL-C, direct LDL-C, sdLDL-C, LDL-TG, Lp(a), RLP-C, and TRL-C were measured by standardized automated analysis. Calculated LDL-C, large buoyant low-density lipoprotein cholesterol (lbLDL-C), VLDL-C, and non-HDL-C values were calculated. Data were analyzed using Cox proportional regression analysis and net reclassification improvement (NRI) analysis to identify parameters significantly associated with the incidence of ASCVD after controlling for standard ASCVD risk factor and applying the PCE model. Results: All specialized lipoprotein parameters were significant ASCVD risk factors on univariate analysis, but only direct LDL-C, sdLDL-C, and Lp(a) were significant on multivariate analysis with standard risk factors in the model. Together these parameters significantly improved the model c statistic (0.716 vs 0.732, P < 0.05) and net risk reclassification (mean NRI 0.104, P < 0.01) for ASCVD risk. Using the ASCVD risk pooled cohort equation, sdLDL-C, TG, LDL-TG, LDL-C, RLP-C, and TRL-C individually added significant information, but no other parameter added significant information with sdLDL-C (hazard ratio 1.30 for 75th vs 25th percentile, P < 0.0001) in the model. Conclusions: In multivariate analysis, sdLDL-C, direct LDL-C, and Lp(a) contributed significantly to ASCVD risk, but only sdLDL-C added significant risk information to the PCE model, indicating that sdLDL-C may be the most atherogenic lipoprotein particle.

CONSENSUS STATEMENT BY THE AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS AND AMERICAN COLLEGE OF ENDOCRINOLOGY ON THE MANAGEMENT OF DYSLIPIDEMIA AND PREVENTION OF CARDIOVASCULAR DISEASE ALGORITHM – 2020 EXECUTIVE SUMMARY

2020 ◽  
Vol 26 (10) ◽  
pp. 1196-1224 ◽  
Author(s):  
Yehuda Handelsman ◽  
Paul S. Jellinger ◽  
Chris K. Guerin ◽  
Zachary T. Bloomgarden ◽  
Eliot A. Brinton ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Atherosclerotic Cardiovascular Disease ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Icosapent Ethyl ◽  
Lipid Disorders ◽  
Ascvd Risk

The treatment of lipid disorders begins with lifestyle therapy to improve nutrition, physical activity, weight, and other factors that affect lipids. Secondary causes of lipid disorders should be addressed, and pharmacologic therapy initiated based on a patient’s risk for atherosclerotic cardiovascular disease (ASCVD). Patients at extreme ASCVD risk should be treated with high-intensity statin therapy to achieve a goal low-density lipoprotein cholesterol (LDL-C) of <55 mg/dL, and those at very high ASCVD risk should be treated to achieve LDL-C <70 mg/dL. Treatment for moderate and high ASCVD risk patients may begin with a moderate-intensity statin to achieve an LDL-C <100 mg/dL, while the LDL-C goal is <130 mg/dL for those at low risk. In all cases, treatment should be intensified, including the addition of other LDL-C-lowering agents (i.e., proprotein convertase subtilisin/kexin type 9 inhibitors, ezetimibe, colesevelam, or bempedoic acid) as needed to achieve treatment goals. When targeting triglyceride levels, the desirable goal is <150 mg/dL. Statin therapy should be combined with a fibrate, prescription-grade omega-3 fatty acid, and/or niacin to reduce triglycerides in all patients with triglycerides ≥500 mg/dL, and icosapent ethyl should be added to a statin in any patient with established ASCVD or diabetes with ≥2 ASCVD risk factors and triglycerides between 135 and 499 mg/dL to prevent ASCVD events. Management of additional risk factors such as elevated lipoprotein(a) and statin intolerance is also described. Abbreviations: AACE = American Association of Clinical Endocrinologists; ACE = American College of Endocrinology; ACS = acute coronary syndrome; apo B = apolipoprotein B; ASCVD = atherosclerotic cardiovascular disease; BA = bempedoic acid; CAC = coronary artery calcium; CHD = coronary heart disease; CK = creatine kinase; CKD = chronic kidney disease; DHA = docosahexaenoic acid; EPA = eicosapentaenoic acid; FCS = familial chylomicronemia syndrome; FDA = United States Food and Drug Administration; FOURIER = Further Cardiovascular Outcomes Research with PCSK9 Inhibition in Subjects with Elevated Risk; HDL-C = high-density lipoprotein cholesterol; HeFH = heterozygous familial hypercholesterolemia; HoFH = homozygous familial hyper-cholesterolemia; hsCRP = high-sensitivity C reactive protein; IDL = intermediate-density lipoproteins; IMPROVE-IT = Improved Reduction of Outcomes: Vytorin Efficacy International Trial; IPE = icosapent ethyl; LDL-C = low-density lipoprotein cholesterol; Lp(a) = lipoprotein a; MACE = major adverse cardiovascular events; MI = myocardial infarction; OSA = obstructive sleep apnea; PCSK9 = proprotein convertase subtilisin/kexin type 9; REDUCE-IT = Reduction of Cardiovascular Events with EPA-Intervention Trial; UKPDS = United Kingdom Prospective Diabetes Study; U.S. = United States; VLDL = very-low-density lipoproteins

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