scholarly journals Lipid Level, Lipid Variability, and Risk of Multiple Myeloma: A Nationwide Population-Based Study of 3,527,776 Subjects

Cancers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 540
Author(s):  
Taewoong Choi ◽  
In Young Choi ◽  
Kyungdo Han ◽  
Su-Min Jeong ◽  
Jung Eun Yoo ◽  
...  

(1) Background: There is evidence that abnormality in lipid metabolism promotes cancer development. This study investigated whether lipid level and its variability are associated with the development of MM at a population level. (2) Methods: A retrospective cohort study included a total of 3,527,776 subjects aged 40 and above who participated in ≥3 health examinations within the previous five years, including the index year (2012–2013). Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglyceride (TG) were measured, and visit-to-visit lipid variability were calculated by variability independent of the mean (VIM) method. The study population was followed from the health examination date in the index year until the diagnosis of MM, death, or the last follow-up date (31 December 2017). (3) Results: During a median (5–95%) 5.1 years of follow-up, 969 subjects developed MM. A lower risk of MM was observed with higher quartiles of baseline lipid levels compared to the lowest quartile group (Q4 vs. Q1: adjusted hazard ratios (aHRs) 0.51, 95% confidence interval (CI) (0.42–0.61) for TC; 0.50 (0.41–0.61) for HDL-C; 0.65 (0.54–0.77) for LDL-C; and 0.72 (0.60–0.87) for TG in model (3). Among all lipid measures, only variability in HDL-C was associated with risk of MM: aHRs (95% CI) were 1.12 (0.91–1.38), 1.19 (0.97–1.46), and 1.34 (1.09–1.65) in the Q2, Q3, and Q4, respectively, compared to the Q1 of VIM of HDL-C. (4) Conclusions: This study shows that patients with lower lipid levels and high HDL-C variability are at increased risk of developing MM.

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
H Lee ◽  
S R Lee ◽  
E K Choi ◽  
K D Han ◽  
S Oh

Abstract Background High levels of lipids and lipid variability are established risk factors for atherosclerotic cardiovascular disease. We investigated their roles in the development of atrial fibrillation (AF). This is the largest cohort study yet on the association between lipid levels and AF, and the first study on the association between lipid variability and AF. Methods A nationwide population-based cohort of 3,828,652 adults (mean age 43.9 years) from the Korean National Health Insurance Service database without prevalent AF, not on lipid-lowering medication, and with at least 3 measurements of each lipid parameter at 1–2 year intervals over a 4-year period were included. Total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) were measured, and lipid variability was calculated using variability independent of mean. The cohort was divided into quartiles by baseline lipid levels and lipid variability, and followed up for incident AF. Results During median 3.4 years of follow-up, AF was newly diagnosed in 13,240 (0.35%). AF development was inversely associated with TC and LDL-C levels (for top vs. bottom quartile; TC, hazard ratio [HR] 0.76, 95% confidence interval [95% CI] 0.72–0.80); LDL-C, HR 0.78, 95% CI 0.74–0.82) in both sexes, and with TG levels in men (HR 0.85, 95% CI 0.80–0.90). Meanwhile, AF development was associated with higher LDL-C and HDL-C variability (for top vs. bottom quartile; LDL-C, HR 1.16, 95% CI 1.10–1.22; HDL-C, HR 1.08, 95% CI 1.03–1.14) in both sexes, and with TC variability in men (HR 1.16, 95% CI 1.10–1.22). Conclusions Lower cholesterol levels (TC, LDL-C) and higher cholesterol variability (LDL-C, HDL-C) were associated with higher risk for AF. Low TG levels and high TC variability were also associated with AF incidence in men. These findings support the “cholesterol paradox” in AF, and suggest that cholesterol variability is also a risk factor for AF development.


2021 ◽  
Author(s):  
xin Su ◽  
Deqiang Zheng ◽  
Meiping Wang ◽  
Yingting Zuo ◽  
Jing Wen ◽  
...  

Abstract BackgroundPrevious studies, in which the data were collected about half a century ago, suggested that elevated low density lipoprotein cholesterol (LDL-C) is not associated with increased risk of cardiovascular disease (CVD) in patients over 70 years old. However, what is the relationship between LDL-C and CVD risk in a contemporary population aged over 70 years has not been well examined in China.MethodsThe China Health and Retirement Longitudinal Study (CHARLS) is an ongoing nationally representative study. In this analysis, participants of CHARLS who did not taking statins and did not have heart disease and stroke at 2011 were include and were followed up to 2018. The outcome of this analysis was occurrence of CVD at follow up, which include heart disease and stroke. Cox regression was used to assess the harmful effect of LDL-C on CVD occurrence. We calculated e-values to quantify the effect of unmeasured confounding on our results.ResultsOf the 9,631 participants, 15.2% (N=1,463) were aged over 70 years and 52.5% (N=5,060) were female. During the 7 years follow-up, 1,437 participants had a first CVD attack. Risk of CVD occurrence increased 8% with each 10 mg/mL elevation in LDL-C in whole participants (adjusted HR, 1.08; 95% CI, 1.06-1.10) and age groups of ≥70 years, 60-69years and <60 years. Similar results were observed in subgroup analyses, in which participants were stratified by sex, hypertension, diabetes and chronic kidney disease. According to the restricted cubic spline, we noted a U-shaped relationship between LDL-C and risk of CVD occurrence in group over 70 years old, however, we further found that in the left side of U-shape curve, LDL-C was not associated with occurrence of CVD and its attribution to CVD occurrence was only 2.1%, which indicated that lower level of LDL-C could not increase the risk of CVD occurrence as it was demonstrated by a U-shape association. E-value analysis suggested robustness to unmeasured confounding.ConclusionsIn contemporary society of China, elevated the level of LDL-C also increased the risk of CVD in participants over 70 years old as in the relatively younger participants. These results should strengthen guideline recommendations for the use of lipid lowering therapies in those elderly.


2016 ◽  
Vol 101 (9) ◽  
pp. 3297-3305 ◽  
Author(s):  
Po-Yin Chang ◽  
Ellen B. Gold ◽  
Jane A. Cauley ◽  
Wesley O. Johnson ◽  
Carrie Karvonen-Gutierrez ◽  
...  

Abstract Context: Unfavorable lipid levels contribute to cardiovascular disease and may also harm bone health. Objective: Our objective was to investigate relationships between fasting plasma lipid levels and incident fracture in midlife women undergoing the menopausal transition. Design and Setting: This was a 13-year prospective, longitudinal study of multiethnic women in five US communities, with near-annual assessments. Participants: At baseline, 2062 premenopausal or early perimenopausal women who had no history of fracture were included. Exposures: Fasting plasma total cholesterol, triglycerides (TG), low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol at baseline and follow-up visits 1 and 3–7. Main Outcome Measure(s): Incident nontraumatic fractures 1) 2 or more years after baseline, in relation to a single baseline level of lipids; and 2) 2–5 years later, in relation to time-varying lipid levels. Cox proportional hazards modelings estimated hazard ratios and 95% confidence interval (CI). Results: Among the lipids, TG levels changed the most, with median levels increased by 16% during follow-up. An increase of 50 mg/dl in baseline TG level was associated with a 1.1-fold increased hazards of fracture (adjusted hazard ratio, 1.11; 95% CI, 1.04–1.18). Women with baseline TG higher than 300 mg/dl had an adjusted 2.5-fold greater hazards for fractures (95% CI, 1.13–5.44) than women with baseline TG lower than 150 mg/dl. Time-varying analyses showed a comparable TG level-fracture risk relationship. Associations between total cholesterol, low-density lipoprotein cholesterol, or high-density lipoprotein cholesterol levels and fractures were not observed. Conclusions: Midlife women with high fasting plasma TG had an increased risk of incident nontraumatic fracture. Secondary Abstract: Midlife women with fasting plasma triglyceride (TG) of at least 300 mg/dl had 2.5-fold greater hazards of fracture in 2 years later and onward, compared to those with TG below 150 mg/dl, in a multiethnic cohort. Time-varying analyses revealed comparable results.


2021 ◽  
pp. jech-2020-214358
Author(s):  
Pekka Martikainen ◽  
Kaarina Korhonen ◽  
Aline Jelenkovic ◽  
Hannu Lahtinen ◽  
Aki Havulinna ◽  
...  

BackgroundGenetic vulnerability to coronary heart disease (CHD) is well established, but little is known whether these effects are mediated or modified by equally well-established social determinants of CHD. We estimate the joint associations of the polygenetic risk score (PRS) for CHD and education on CHD events.MethodsThe data are from the 1992, 1997, 2002, 2007 and 2012 surveys of the population-based FINRISK Study including measures of social, behavioural and metabolic factors and genome-wide genotypes (N=26 203). Follow-up of fatal and non-fatal incident CHD events (N=2063) was based on nationwide registers.ResultsAllowing for age, sex, study year, region of residence, study batch and principal components, those in the highest quartile of PRS for CHD had strongly increased risk of CHD events compared with the lowest quartile (HR=2.26; 95% CI: 1.97 to 2.59); associations were also observed for low education (HR=1.58; 95% CI: 1.32 to 1.89). These effects were largely independent of each other. Adjustment for baseline smoking, alcohol use, body mass index, igh-density lipoprotein (HDL) and total cholesterol, blood pressure and diabetes attenuated the PRS associations by 10% and the education associations by 50%. We do not find strong evidence of interactions between PRS and education.ConclusionsPRS and education predict CHD events, and these associations are independent of each other. Both can improve CHD prediction beyond behavioural risks. The results imply that observational studies that do not have information on genetic risk factors for CHD do not provide confounded estimates for the association between education and CHD.


2021 ◽  
Vol 10 (5) ◽  
pp. 904
Author(s):  
Jun Watanabe ◽  
Masato Hamasaki ◽  
Kazuhiko Kotani

Introduction: Helicobacter pylori (H. pylori) infection is positively associated with cardiovascular diseases, but the involvement of lipids in this association remains unclear. The present study reviewed the changes in circulating lipid levels following H. pylori eradication. Methods: A PubMed database was searched until December 2020 to identify randomized control trials (RCTs) and non-RCTs investigating the effect of H. pylori eradication on the lipid levels in inverse variance-weighted, random-effects meta-analyses. Results: A total of 24 studies (four RCTs and 20 non-RCTs) with 5270 participants were identified. The post-eradication levels were increased for high-density lipoprotein cholesterol (HDL-C; mean difference (MD) 2.28 mg/dL, 95% confidence interval (CI) 1.90 to 2.66) and triglyceride (TG; MD 3.22 mg/dL, 95% CI 1.13 to 5.31) compared with the pre-eradication levels. H. pylori eradication resulted in little to no difference in the low-density lipoprotein-cholesterol levels (MD −2.33 mg/dL, 95% CI −4.92 to 0.26). In the analyses of RCTs only, the findings for elevated HDL-C levels, but not TG, were robust. Conclusions: H. pylori eradication increases the HDL-C levels. Further studies are needed to elucidate the effects of lipid changes following H. pylori eradication on cardiovascular diseases.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Sheila M Manemann ◽  
Suzette J Bielinski ◽  
Ethan D Moser ◽  
Jennifer L St. Sauver ◽  
Paul Y Takahashi ◽  
...  

Background: Larger within-patient variability of lipid levels has been associated with an increased risk of cardiovascular disease (CVD). However, measures of lipid variability are not currently used clinically. We investigated the feasibility of calculating lipid variability within a large electronic health record (EHR)-based population cohort and assessed associations with incident CVD. Methods: We identified all individuals ≥40 years of age who resided in Olmsted County, MN on 1/1/2006 (index date) without prior CVD. CVD was defined as myocardial infarction, coronary artery bypass graft surgery, percutaneous coronary intervention or stroke. Patients with ≥3 measurements of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and/or triglycerides during the 5 years before the index date were retained in the analyses. Lipid variability was calculated using variability independent of the mean (VIM). Patients were followed through 9/30/2017 for incident CVD (including CVD death). Cox regression was used to investigate the association between quintiles of lipid VIMs and incident CVD. Results: We identified 18,642 individuals (mean age 60; 55% female) who were free of CVD at baseline and VIM calculated for at least one lipid measurement. After adjustment, those in the highest VIM quintiles of total cholesterol had a 25% increased risk of CVD (Q5 vs. Q1 HR: 1.25, 95% CI: 1.08-1.45; Table). We observed similar results for LDL-C (Q5 vs. Q1 HR: 1.20, 95% CI: 1.04-1.39) and HDL-C (Q5 vs. Q1 HR: 1.25, 95% CI: 1.09-1.43). There was no association between triglyceride variability quintiles and CVD risk. Conclusion: In a large EHR-based population cohort, high variability in total cholesterol, HDL-C and LDL-C was associated with an increased risk of CVD, independently of traditional risk factors, suggesting it may be a target for intervention. Lipid variability can be calculated in the EHR environment but more research is needed to determine its clinical utility.


BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e026860 ◽  
Author(s):  
Luqi Shen ◽  
José F Cordero ◽  
Jia-Sheng Wang ◽  
Ye Shen ◽  
Shengxu Li ◽  
...  

ObjectivesThe objective of this study was to evaluate the association of genetically determined leptin with lipids.DesignWe conducted a Mendelian randomisation study to assess a potential causal relationship between serum leptin and lipid levels. We also evaluated whether alcohol drinking modified the associations of genetically determined leptin with blood lipids.Setting and participants3860 participants of the Framingham Heart Study third generation cohort.ResultsBoth genetic risk scores (GRSs), the GRS generated using leptin loci independent of body mass index (BMI) and GRS generated using leptin loci dependent of BMI, were positively associated with log-transformed leptin (log-leptin). The BMI-independent leptin GRS was associated with log-transformed triglycerides (log-TG, β=−0.66, p=0.01), but not low-density lipoprotein cholesterol (LDL-C, p=0.99), high-density lipoprotein cholesterol (HDL-C, p=0.44) or total cholesterol (TC, p=0.49). Instrumental variable estimation showed that per unit increase in genetically determined log-leptin was associated with 0.55 (95% CI: 0.05 to 1.00) units decrease in log-TG. Besides significant association with log-TG (β=−0.59, p=0.009), the BMI-dependent GRS was nominally associated with HDL-C (β=−10.67, p=0.09) and TC (β=−28.05, p=0.08). When stratified by drinking status, the BMI-dependent GRS was associated with reduced levels of LDL-C (p=0.03), log-TG (p=0.004) and TC (p=0.003) among non-current drinkers only. Significant interactions between the BMI-dependent GRS and alcohol drinking were identified for LDL-C (p=0.03), log-TG (p=0.03) and TC (p=0.02).ConclusionThese findings together indicated that genetically determined leptin was negatively associated with lipid levels and the association may be modified by alcohol consumption.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Ryuichi Kawamoto ◽  
Asuka Kikuchi ◽  
Taichi Akase ◽  
Daisuke Ninomiya ◽  
Teru Kumagi

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.


Author(s):  
Salim S Virani ◽  
Lechauncy D Woodard ◽  
Supicha Sookanan ◽  
Cassie R Landrum ◽  
Tracy H Urech ◽  
...  

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.


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