scholarly journals Effects of low-density lipoprotein cholesterol on cardiovascular disease and all-cause mortality in elderly patients (≥75 years old)

Endocrine ◽  
2021 ◽  
Author(s):  
Jiaxin Yu ◽  
Xiaokun Liu ◽  
Shuohua Chen ◽  
Yan Liu ◽  
HongMin Liu ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Elderly Patients ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
All Cause Mortality

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.

scholarly journals Baseline Low-Density-Lipoprotein Cholesterol Modifies the Risk of All-Cause Death Associated With Elevated Lipoprotein(a) in Coronary Artery Disease Patients

2022 ◽  
Vol 8 ◽  
Author(s):  
Younan Yao ◽  
Jin Liu ◽  
Bo Wang ◽  
Ziyou Zhou ◽  
Xiaozhao Lu ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Penalized Spline ◽  
All Cause Mortality ◽  
Artery Disease

Background: The prognostic value of elevated lipoprotein(a) [Lp(a)] in coronary artery disease (CAD) patients is inconsistent in previous studies, and whether such value changes at different low-density-lipoprotein cholesterol (LDL-C) levels is unclear.Methods and Findings: CAD patients treated with statin therapy from January 2007 to December 2018 in the Guangdong Provincial People's Hospital (NCT04407936) were consecutively enrolled. Individuals were categorized according to the baseline LDL-C at cut-off of 70 and 100 mg/dL. The primary outcome was 5-year all-cause death. Multivariate Cox proportional models and penalized spline analyses were used to evaluate the association between Lp(a) and all-cause mortality. Among 30,908 patients, the mean age was 63.1 ± 10.7 years, and 76.7% were men. A total of 2,383 (7.7%) patients died at 5-year follow-up. Compared with Lp(a) <50 mg/dL, Lp(a) ≥ 50 mg/dL predicted higher all-cause mortality (multivariable adjusted HR = 1.19, 95% CI 1.07–1.31) in the total cohort. However, when analyzed within each LDL-C category, there was no significant association between Lp(a) ≥ 50 mg/dL and higher all-cause mortality unless the baseline LDL-C was ≥ 100 mg/dL (HR = 1.19, 95% CI 1.04–1.36). The results from penalized spline analyses were robust.Conclusions: In statin-treated CAD patients, elevated Lp(a) was associated with increased risks of all-cause death, and such an association was modified by the baseline LDL-C levels. Patients with Lp(a) ≥ 50 mg/dL had higher long-term risks of all-cause death compared with those with Lp(a) <50 mg/dL only when their baseline LDL-C was ≥ 100 mg/dL.

scholarly journals Low density lipoprotein cholesterol and all-cause mortality rate: findings from a study on Japanese community-dwelling persons

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Ryuichi Kawamoto ◽  
Asuka Kikuchi ◽  
Taichi Akase ◽  
Daisuke Ninomiya ◽  
Teru Kumagi
Keyword(s):  
Low Density Lipoprotein ◽  
Critical Role ◽  
Density Lipoprotein ◽  
Community Dwelling ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Adjusted Relative Risk ◽  
Low Density Lipoprotein Cholesterol ◽  
All Cause Mortality

Abstract Background Low-density lipoprotein cholesterol (LDL-C) independently impacts aging-related health outcomes and plays a critical role in cardiovascular diseases (CVDs). However, there are limited predictive data on all-cause mortality, especially for the Japanese community population. In this study, it was examined whether LDL-C is related to survival prognosis based on 7 or 10 years of follow-up. Methods Participants included 1610 men (63 ± 14 years old) and 2074 women (65 ± 12 years old) who participated in the Nomura cohort study conducted in 2002 (first cohort) and 2014 (second cohort) and who continued throughout the follow-up periods (follow-up rates: 94.8 and 98.0%). Adjusted relative risk estimates were obtained for all-cause mortality using a basic resident register. The data were analyzed by a Cox regression with the time variable defined as the length between the age at the time of recruitment and that at the end of the study (the age of death or censoring), and risk factors including gender, age, body mass index (BMI), presence of diabetes, lipid levels, renal function, serum uric acid levels, blood pressure, and history of smoking, drinking, and CVD. Results Of the 3684 participants, 326 (8.8%) were confirmed to be deceased. Of these, 180 were men (11.2% of all men) and 146 were women (7.0% of all women). Lower LDL-C levels, gender (male), older age, BMI under 18.5 kg/m2, and the presence of diabetes were significant predictors for all-cause mortality. Compared with individuals with LDL-C levels of 144 mg/dL or higher, the multivariable-adjusted Hazard ratio (and 95% confidence interval) for all-cause mortality was 2.54 (1.58–4.07) for those with LDL-C levels below 70 mg/dL, 1.71 (1.15–2.54) for those with LDL-C levels between 70 mg/dL and 92 mg/dL, and 1.21 (0.87–1.68) for those with LDL-C levels between 93 mg/dL and 143 mg/dL. This association was particularly significant among participants who were male (P for interaction = 0.039) and had CKD (P for interaction = 0.015). Conclusions There is an inverse relationship between LDL-C levels and the risk of all-cause mortality, and this association is statistically significant.

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.

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