Linking elevated HbA1c with atherogenic lipid profile among high risk cardiovascular patients at Qassim, Saudi Arabia

The relationship between glycated hemoglobin (HbA1c) and an atherogenic lipid profile which is associated with a higher risk of cardiovascular disease is of interest. A retrospective cross-sectional study was conducted on 83 participants aged between 14 and 77 years. Their venous blood was drawn to determine the HbA1c and fasting lipid profile including total cholesterol triglycerides and high-density lipoprotein cholesterol (HDL-C) low-density lipoprotein cholesterol (LDL-C) non-HDL cholesterol and the LDL/HDL ratio were also calculated. The correlations between HbA1c levels and these lipid profile parameters were analyzed. The study showed a significant correlation between HbA1c and LDL-C non-HDL-C and the LDL/HDL ratio. Although there was no significant difference in total cholesterol levels among all groups the levels of total cholesterol and HbA1c were positively correlated. HDL-C exhibited direct correlations with HbA1c there was no correlation between HbA1c and clinical characteristics except for age. Data shows that HbA1c can be used as a predictor of dyslipidemia in diabetic patients there is a significant correlation between HbA1c and an atherogenic lipid profile which highlights the importance of glycemic control in reducing the risk of cardiovascular disease.

Non-HDL cholesterol and residual risk of cardiovascular events in patients with ischemic heart disease and well-controlled LDL cholesterol: a cohort study

Background

Identifying patients at high residual risk of atherosclerotic cardiovascular disease (ASCVD) despite statin-treatment is of paramount clinical importance. We aim to investigate if non-high-density lipoprotein cholesterol (non-HDL-C) identifies residual risk of ASCVD and death in statin-treated patients with ischemic heart disease and low-density lipoprotein cholesterol (LDL-C) ≤ 1.8 mmol/L.

Methods

Leveraging Danish regional and national registries, we identified statin-treated patients with ischemic heart disease who underwent coronary angiography (CAG) and attained LDL-C ≤ 1.8 mmol/L within a year post-CAG. Outcomes were myocardial infarction (MI), ASCVD (MI or ischemic stroke), and all-cause death occurring from one year after CAG to end of follow-up. Cox regression analyses obtained adjusted hazard ratios (HR).

Findings

Between January 1, 2011, and December 31, 2020, we included 23,641 statin-treated patients with ischemic heart disease and LDL-C ≤ 1.8 mmol/L. During median follow-up of 4.1 years (IQR 2.4-6.1), 893 (3.8%) patients developed MI, 1207 (5.1%) ASCVD, and 3054 (12.9%) patients died. For ASCVD the adjusted HRs (95% confidence interval) for non-HDL-C < 25th percentile (<1.7 mmol/L) versus 25th-74th (1.7-2.1 mmol/L), 75th-94th (2.2-2.6 mmol/L), and ≥95th (≥2.7 mmol/L) percentile were 1.1 (0.9-1.3), 1.4 (1.1-1.7), and 1.8 (1.4-2.4), and for all-cause death 1.0 (0.9-1.1), 1.2 (1.1-1.4), and 1.4 (1.2-1.7), respectively.

Interpretation

In a contemporary secondary prevention cohort of patients with well-managed LDL-C, non-HDL-C emerges as an easily accessible marker to detect patients facing high residual risk of ASCVD and death. These findings are important for preventive strategies extending beyond LDL-C targets.

Funding

Research grant from the Novo Nordisk Foundation.

Cholesterol not particle concentration mediates the atherogenic risk conferred by apolipoprotein B particles: a Mendelian randomization analysis

BACKGROUND AND AIMS

The causal contribution of apolipoprotein B (apoB) particles to coronary artery disease (CAD) is established. We examined whether this atherogenic contribution is better reflected by non-high-density lipoprotein cholesterol (non-HDL-C) or apoB particle concentration.

METHOD AND RESULTS

We performed Mendelian randomization (MR) analysis using 235 variants as genetic instruments; testing the relationship between their effects on the exposures, non-HDL-C and apoB, and on the outcome CAD using weighted regression. Variant effect estimates on the exposures came from the UK Biobank (N = 376 336) and on the outcome from a meta-analysis of five CAD datasets (187 451 cases and 793 315 controls). Subsequently, we carried out sensitivity and replication analyses.In univariate MR analysis, both exposures associated with CAD (βnon-HDL-C = 0.40, P = 2.8 × 10-48 and βapoB = 0.38, P = 1.3 × 10-44). Adding effects on non-HDL-C into a model that already included those on apoB significantly improved the genetically predicted CAD effects (P = 3.9 × 10-5), while adding apoB into the model including non-HDL-C did not (P = 0.69). Thirty-five per cent (82/235) of the variants used as genetic instruments had discordant effects on the exposures, associating with non-HDL-C/apoB ratio at P < 2.1 × 10-4 (0.05/235). Fifty-one variants associated at genome-wide significance.

CONCLUSION

Many sequence variants have discordant effects on non-HDL-C and apoB. These variants allowed us to show that the causal mechanism underlying the relationship between apolipoprotein B particles and CAD is more associated with non-HDL-C than apoB particle concentration.

Association between Indoor Temperature in Winter and Serum Cholesterol: A Cross-Sectional Analysis of the Smart Wellness Housing Survey in Japan

AIM

Issuance of the WHO Housing and health guidelines has paralleled growing interest in the housing environment. Despite accumulating evidence of an association between outdoor temperature and serum cholesterol, indoor temperature has not been well investigated. This study examined the association between indoor temperature and serum cholesterol.

METHODS

We collected valid health checkup data of 2004 participants (1333 households), measured the indoor temperature for 2 weeks in winter, and divided participants according to whether they lived in a warm (average bedroom temperature ≥ 18℃), slightly cold (12-18℃) or cold house (＜12˚C). The relationship between bedroom temperature and serum cholesterol was analyzed using multivariate logistic regression models, adjusting for demographics, lifestyle habits and the season in which the health checkup was conducted, with a random effect of climate areas in Japan.

RESULTS

The sample sizes for warm, slightly cold, and cold houses were 206, 940, and 858, respectively. Compared to those in warm houses, the odds ratio of total cholesterol exceeding 220 mg/dL was 1.83 (95%CI: 1.23-2.71, p=0.003) for participants in slightly cold houses and 1.87 (95%CI: 1.25-2.80, p=0.002) in cold houses. Similarly, the odds ratio of LDL/non-HDL cholesterol exceeding the standard range was 1.49 (p=0.056)/1.67 (p=0.035) for those in slightly cold houses and 1.64 (p=0.020)/1.77 (p=0.021) in cold houses. HDL cholesterol and triglycerides were not significantly associated with bedroom temperature.

CONCLUSION

Besides lifestyle modification, improving indoor thermal environment through strategies such as installing high thermal insulation and appropriate use of heating devices may contribute to better serum cholesterol condition.

Secular Trends in Obesity and Serum Lipid Values among Children in Oita City, Japan, during a 27-Year Period

AIMS

We assessed 27-year trends in obesity and blood lipid levels of 10-year-old children to estimate the risk of metabolic syndrome in adulthood.

METHODS

Based on a screening program for lifestyle-related diseases in school children in Oita City, Japan, we evaluated secular trends in height, weight, percentage of overweight (POW), total cholesterol (TC), triglyceride (TG), HDL cholesterol (HDL-C), and non-HDL cholesterol (non-HDL-C) of fifth graders (median age: 10.8 years) in Oita City from 1991 to 2017. We focused on the secular trend in the percentage of children with inappropriate serum levels of each lipid. We also evaluated the long-term trends in the 95^th, 50^th, and 5^th percentiles for each parameter, as dependent variables, with the calendar year as an independent variable. Percentages of children with mild obesity (POW-20), moderate obesity (POW-30), and severe obesity (POW-50) were set as dependent variables.

RESULTS

A total of 58,699 boys and 56,864 girls were evaluated during the study period. The percentage of children with severe obesity (POW-50) consistently increased during these years, and the 95^th percentile of degree of obesity significantly increased in both boys and girls. The plot of percentages of children with inappropriate levels of TC, TG, and non-HDL-C showed a mild inverted U shape during the study period. The HDL-C level typically decreased in the study period, and the TC, TG, and non-HDL-C levels were markedly higher while the HDL level was lower in obese children than in non-obese children.

CONCLUSION

The number of children with severe obesity increased, and obese children had higher percentages of inappropriate lipid levels than non-obese children. The rate of dyslipidemia with low HDL levels gradually increased in all children in Oita City, Japan, over the past 27 years.

Effects of semaglutide on cardiovascular risk factors and eating behaviors in type 2 diabetes

AIMS

Aim of the present study was to evaluate the impact of once-weekly semaglutide on different end-points indicative of metabolic control, cardiovascular risk, dietary behavior, and treatment satisfaction in T2DM.

METHODS

This was a retrospective observational study conducted in a diabetes clinic. Changes in HbA1c, fasting blood glucose (FBG), weight, blood pressure, lipid profile, and number of antihypertensive drugs at 32 weeks (T1) after the first prescription of semaglutide (T0) were analyzed. Furthermore, at T1 patients were asked to fill-in the Diabetes Treatment Satisfaction Questionnaire (DTSQ) and the Control of Eating Questionnaire (COEQ).

RESULTS

Overall, 104 patients were identified (mean age 63.6 ± 10.4 years, 58.7% men, diabetes duration 12.7 ± 8.7 years). After 32 weeks of treatment with semaglutide, HbA1c levels were reduced by 1.38%, FBG by - 56.53 mg/dl, weight by 6.03 kg. Systolic and diastolic blood pressure, total, HDL-, LDL-, and non -HDL cholesterol, and triglycerides significantly improved. The number of glucose-lowering and antihypertensive drugs also decreased. At T1, DTSQ score was 32.23 ± 1.44, whereas COEQ indicated low levels of hunger and good control of eating.

CONCLUSIONS

The study documented benefits of semaglutide on metabolic control and multiple CV risk factors, simplification of therapeutic schemes and high satisfaction with diabetes treatment, and eating behaviors indicative of healthy diet and reduced food intake.

Lipoprotein Assessment in the twenty-first Century

Based on decades of both basic science and epidemiologic research, there is overwhelming evidence for the causal relationship between high levels of cholesterol, especially low-density lipoprotein cholesterol and cardiovascular disease. Risk evaluation and monitoring the response to lipid-lowering therapies are heavily dependent on the accurate assessment of plasma lipoproteins in the clinical laboratory. This article provides an update of lipoprotein metabolism as it relates to atherosclerosis and how diagnostic measures of lipids and lipoproteins can serve as markers of cardiovascular risk, with a focus on recent advances in cardiovascular risk marker testing.

Premature coronary artery disease, risk factors, clinical presentation, angiography and interventions: Hospital based registry

BACKGROUND & AIMS

Premature coronary artery disease (CAD) is endemic in India. We performed a study to identify risk factors, clinical presentation, angiographic findings and interventions in premature CAD.

METHODS

Successive patients who underwent percutaneous intervention (PCI) were enrolled from January 2018 to June 2021. Premature CAD was defined as women 45-59 y and men 40-54 y and very premature as women <45 y and men <40 y. Descriptive statistics are presented. Univariate odds ratio (OR) and 95% confidence intervals (95%CI) were calculated to identify differences in various groups.

RESULTS

4672 patients (women 936, men 3736) were enrolled. Premature CAD was in 1238 (26.5%; women 31.9%; men 25.1%) and very premature in 212 (4.5%; women 6.5%, men 4.0%). In premature and very premature vs non-premature CAD, OR (95%CI) for high cholesterol ≥200 mg/dl [women 1.52(1.03-2.25) and 1.59(0.79-3.20); men 1.73(1.38-2.17) and 1.92(1.22-3.03)], non-HDL cholesterol ≥130 mg/dl [women 1.84(1.35-2.52) and 1.32(0.72-2.42); men 1.69(1.43-1.90) and 1.67(1.17-2.34)], LDL cholesterol [men 1.10(0.95-1.25) and 1.04(0.77-1.41)], and tobacco [women 1.40(0.84-2.35) and 2.14(0.95-4.82); men 1.63(1.34-1.98) and 1.27(0.81-1.97)] were higher while hypertension, diabetes and chronic kidney disease were more in non-premature(p < 0.05). Presentation as STEMI was marginally more in women with premature [1.13(0.85-1.51)] and very premature [1.29(0.75-2.22)] CAD and was significantly higher in men [1.35(1.16-1.56) and 1.79(1.29-2.49)]. Location and extent of CAD were not different.

CONCLUSIONS

In India, a third of CAD patients presenting for coronary intervention have premature disease. Important risk factors are high total and non-HDL cholesterol and tobacco (men) with greater presentation as STEMI. Extent and type of CAD are similar to non-premature CAD indicating severe disease.

Remnants, LDL, and the Quantification of Lipoprotein-Associated Risk in Atherosclerotic Cardiovascular Disease

Purpose of Review

Implementation of intensive LDL cholesterol (LDL-C) lowering strategies and recognition of the role of triglyceride-rich lipoproteins (TRL) in atherosclerosis has prompted re-evaluation of the suitability of current lipid profile measurements for future clinical practice.

Recent Findings

At low concentrations of LDL-C (< 1.8 mmol/l/70 mg/dl), the Friedewald equation yields estimates with substantial negative bias. New equations provide a more accurate means of calculating LDL-C. Recent reports indicate that the increase in risk per unit increment in TRL/remnant cholesterol may be greater than that of LDL-C. Hence, specific measurement of TRL/remnant cholesterol may be of importance in determining risk. Non-HDL cholesterol and plasma apolipoprotein B have been shown in discordancy analyses to identify individuals at high risk even when LDL-C is low.

Summary

There is a need to adopt updated methods for determining LDL-C and to develop better biomarkers that more accurately reflect the abundance of TRL remnant particles.

Clinical Significance of Intermediate-Density Lipoprotein Cholesterol Determination as a Predictor for Coronary Heart Disease Risk in Middle-Aged Men

Background: Not only low-density lipoprotein (LDL) cholesterol but also non-high-density lipoprotein cholesterol (non-HDL-C), very low-density lipoprotein (VLDL) cholesterol (VLDL-C), and intermediate-density lipoprotein (IDL) cholesterol (IDL-C) are reported to be significant risk markers for coronary heart disease (CHD). We reported the relevance of IDL-C to Framingham risk score (F-score), but the present study addressed the relevance of IDL-C to Suita score (S-score), a risk score for coronary heart disease (CHD) developed for the Japanese individuals in addition to F-score.

Methods: The cholesterol levels of lipoproteins, including triglyceride (TG)-rich lipoproteins (IDL and VLDL), were measured by an anion exchange high-performance liquid chromatography (AEX-HPLC). This study enrolled 476 men, aged mean 51 years and free of CHD and stroke.

Results: Non-HDL-C, IDL-C, and VLDL-C significantly correlated with F-score and S-score. In the multiple stepwise regression analysis, IDL-C as well as body mass index (BMI) significantly correlated with both F-score and S-score in both the total subjects and the subjects without drug therapy. The multivariate logistic analysis with the model composed of BMI and IDL-C as the predictor variables demonstrated that 1 SD increase in IDL-C was an independent predictor for 10-year CHD risk >10% of F-score (OR 1.534, 95% CI 1.266–1.859, p < 0001) and that of S-score (OR 1.372, 95% CI 1.130–1.667, p = 0.0014) in the total subjects. Even in the subjects without the drug therapy, the increased IDL-C, as well as BMI, were significant predictors for 10-year CHD risk >10% of S-score as well as F-score.

Conclusion: These results suggest the significant relevance of the increased IDL-C for CHD risk scores in middle-aged men free of CHD and stroke. Further investigations are needed in women and elderly subjects.

Lipid measurements in the management of cardiovascular diseases: Practical recommendations a scientific statement from the national lipid association writing group

Lipoprotein measurements are pivotal in the management of patients at risk for atherosclerotic coronary heart disease (CHD) with myocardial infarction and coronary death as the main outcomes, and for atherosclerotic cardiovascular disease (ASCVD), which includes CHD and stroke. Recent developments and changes in guidelines affect optimization of using lipid measures as cardiovascular biomarkers. This scientific statement reviews the pre-analytical, analytical, post-analytical, and clinical aspects of lipoprotein measurements. Highlights include the following: i) It is acceptable to screen with nonfasting lipids. ii) non-high-density lipoprotein HDL-cholesterol (non-HDL-C) is measured reliably in either the fasting or the nonfasting state and can effectively guide ASCVD prevention. iii) low density lipoprotein cholesterol (LDL-C) can be estimated from total cholesterol, high density lipoprotein cholesterol (HDL-C), and triglyceride (TG) measurements. For patients with LDL-C>100 mg/dL and TG ≤150 mg/dL it is reasonable to use the Friedewald formula. However, for those with TG 150-400 mg/dL the Friedewald formula for LDL-C estimation is less accurate. The Martin/Hopkins method is recommended for LDL-C estimation throughout the range of LDL-C levels and up to TG levels of 399 mg/dL. For TG levels ≥400 mg/dL LDL-C estimating equations are currently not recommended and newer methods are being evaluated. iv) When LDL-C or TG screening results are abnormal the clinician should consider obtaining fasting lipids. v) Advanced lipoprotein tests using apolipoprotein B (apoB), LDL Particle Number (LDL-P) or remnant cholesterol may help to guide therapeutic decisions in select patients, but data are limited for patients already on lipid lowering therapy with low LDL-C levels. Better harmonization of advanced lipid measurement methods is needed. Lipid measurements are recommended 4-12 weeks after a change in lipid treatment. Lipid laboratory reports should denote desirable values and specifically identify extremely elevated LDL-C levels (≥190 mg/dL at any age or ≥160 mg/dL in children) as severe hypercholesterolemia. Potentially actionable abnormal lipid test results, including fasting triglycerides (TG) ≥500 mg/dL, should be reported as hypertriglyceridemia. Appropriate use and reporting of lipid tests should improve their utility in the management of persons at high risk for ASCVD events.

Could non-HDL-cholesterol be a better marker of atherogenic dyslipidemia in obstructive sleep apnea?

BACKGROUND/OBJECTIVE

Obstructive sleep apnea (OSA) is independently associated with dyslipidemia, a surrogate marker of atherosclerosis. Low-density lipoprotein (LDL)-cholesterol is accepted as a major independent risk factor for cardiovascular disease. However, non-high-density lipoprotein (HDL)-cholesterol is a better marker of atherogenic dyslipidemia and recommended as a target of lipid lowering therapy. We aimed to assess the prevalence of atherogenic dyslipidemia, and relationship between OSA severity and serum LDL-cholesterol and non-HDL cholesterol levels in OSA patients.

METHODS

We retrospectively evaluated treatment naïve 2361 subjects admitted to the sleep laboratory of a university hospital for polysomnography. All subjects' lipid profile including total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides, and non-HDL-cholesterol were measured.

RESULTS

Out of 2361 patients (mean age 49.6 ± 11.9 years; 68.9% male, apnea-hypopnea index 36.6 ± 28.4/h), 185 (7.8%) had no OSA and 2176 (92.2%) had OSA. Atherogenic dyslipidemia prevalence was high (57-66%) in OSA patients, and especially increased in severe OSA compared to other groups (p < 0.05). Though total and LDL-cholesterol did not differ between those with and without OSA, non-HDL-cholesterol (p = 0.020), and triglycerides (p = 0.001) were higher and HDL-cholesterol levels (p = 0.018) were lower in OSA patients than non-OSA. Non-HDL-cholesterol was significantly correlated with OSA severity (p < 0.001) and hypoxia parameters (p < 0.01), whereas LDL-cholesterol showed no correlation.

CONCLUSIONS

Atherogenic dyslipidemia is highly prevalent and non-HDL-cholesterol levels are significantly increased, predominantly in severe OSA patients. Non-HDL-cholesterol but not LDL-cholesterol, is significantly correlated with OSA severity and hypoxia parameters. Therefore, it could be better to use non-HDL-cholesterol, which is a guideline recommended target of lipid therapy, as a marker of atherosclerotic cardiovascular risk in OSA patients.

2019 vs. 2016 ESC/EAS statin guidelines for primary prevention of atherosclerotic cardiovascular disease

AIMS

The 2019 vs. 2016 European Society of Cardiology/European Atherosclerosis Society (ESC/EAS) dyslipidaemia guidelines contains new recommendations for primary prevention with statins; however, the potential impact of these changes is unclear. We compared the 2019 and 2016 guidelines regarding statin eligibility and potential impact on prevention of atherosclerotic cardiovascular disease (ASCVD) in the general population.

METHODS AND RESULTS

We examined 45 750 individuals aged 40-75 from the Copenhagen General Population Study, all free of ASCVD and statin use at baseline. During the 9.2-year follow-up, 3337 experienced ASCVD (myocardial infarction, stroke, and cardiovascular death). For Class I/A recommendations, 32.3% (95% confidence interval: 31.8-32.7) and 15.4% (15.1-15.7) of individuals were statin eligible according to the 2019 and 2016 guidelines. The increased statin eligibility by the 2019 guidelines was explained by lower low-density lipoprotein cholesterol (LDL-C) thresholds alone (explaining 33.2%), older age range alone (49.4%), older age range in combination with lower LDL-C thresholds (14.7%), and updated SCORE risk algorithm (2.8%). If fully implemented, the estimated percentage of ASCVD events that can be prevented by using high-intensity statins for 10 years were 25% and 11% with the 2019 and 2016 guidelines. Mainly because of older age range in the 2019 guidelines, the corresponding estimated numbers needed to treat (NNT) to prevent one ASCVD event were 19 and 20.

CONCLUSION

Due to lower LDL-C threshold and older age range, the 2019 vs. 2016 ESC/EAS guidelines doubles the number of individuals eligible for primary prevention with statins. This considerably improves the potential for ASCVD prevention in the general population, with similar NNT to prevent one event.

Total cholesterol/HDL-C ratio versus non-HDL-C as predictors for ischemic heart disease: a 17-year follow-up study of women in southern Sweden

BACKGROUND

A distorted blood lipid profile is an important risk factor for ischemic heart disease (IHD) but the predictive ability of the different lipid measures has rarely been studied. Our aim was to examine and compare, in a large sample of women, the predictive ability of total cholesterol/HDL cholesterol ratio (TC/HDL-C) and non-HDL-C in relation to IHD, adjusted for age, exercise, smoking, waist-hip ratio, blood pressure, and diabetes mellitus.

METHODS

Between 1995 and 2000, a total of 6537 women aged 50-59 years from the Women's Health in Lund area (WHILA) study in southern Sweden were included and underwent a baseline examination. The women were followed through national registers for incidence of IHD during a mean follow-up of 17 years. The prediction accuracy was estimated through Harrell's C and Akaike Information Criterion (AIC).

RESULTS

Increasing TC/HDL-C as well as non-HDL-C showed strong associations with IHD, with the highest risk in the 5th quintile, where the HR was 2.30 (95% CI: 1.70-3.11) for TC/HDL-C and 1.67 (95% CI: 1.25-2.24) for non-HDL-C, after adjustments. Comparisons using Harrell's C and AIC indicated that TC/HDL-C has a slightly higher predictive ability than that of non-HDL-C (Harrell's C 0.62 and 0.59 respectively, p = 0.003 for difference, age-adjusted model; AIC for TC/HDL-C < AIC for non-HDL-C).

CONCLUSIONS

TC/HDL-C ratio and non-HDL-C are both clinical predictors for IHD in middle-aged women. The results indicate that the predictive ability of TC/HDL-C was higher than that of non-HDL-C; however, non-HDL-C was linearly related to IHD (p = 0.58) and may be easier to calculate and interpret in clinical practice, for early identification of future IHD in women.

Relative effect of hypertriglyceridemia on non-HDLC and apolipoprotein B as cardiovascular disease risk markers

BACKGROUND

Non-high density lipoprotein cholesterol (non-HDLC) represents the cholesterol in triglyceride-rich lipoproteins (TRL) and low-density lipoproteins (LDL). Apolipoprotein B (apoB) reflects the number of TRL and LDL particles. In hypertriglyceridemia (HTG), there is triglyceride (TG) enrichment of TRLs, and also a substantial increase of cholesterol in larger TRLs that considerably augments the non-HDLC value. Therefore, in HTG, non-HDLC could increase disproportionately with respect to apoB.

OBJECTIVE

We aimed to compare the relative effect of the full range of mild, moderate, and severe HTG on the status of non-HDLC and apoB as cardiovascular disease (CVD) risk markers.

METHODS

Analysis of lipid profile data from 4347 patients in a Lipid Clinic cohort with baseline fasting lipid profiles documented prior to starting lipid-lowering medications. The correlation between non-HDLC and apoB was assessed in intervals of increasing TG. Non-HDLC and apoB were analyzed at each TG level using comparative CVD risk equivalent categories and assessed for divergence and discordance.

RESULTS

With increasing TG levels: (1) the correlation between non-HDLC and apoB diminished progressively, (2) non-HDLC levels increased continuously, whereas apoB levels plateaued after an initial increase up to TG of ~ 4.0-5.0 mmol/L (~354-443 mg/dL), (3) there was divergence in the stratification of non-HDLC and apoB into CVD risk equivalent categories.

CONCLUSIONS

Non-HDLC and apoB should not be viewed as interchangeable CVD risk markers in the presence of severe HTG. This has never been tested. With increasing HTG severity, discordance between non-HDLC and apoB can cause clinically important divergence in CVD risk categorization.

Elevated non-high-density lipoprotein cholesterol corresponds to a high risk of nephrolithiasis in children

Background

Dyslipidemia contributes to the development of nephrolithiasis in adults; however its relationship to urolithiasis in children remains debatable, and will be clarified in the present work.

Methods

A case–control study was performed involving 58 pediatric patients diagnosed with upper urinary tract stones as well as 351 controls. Age, gender, body mass index (BMI), serum calcium, serum uric acid, blood glucose, blood lipids, and compositions of stones were compared.

Results

According to the univariate analysis, uric acid was higher (P < 0.01) but serum calcium lower in the stone group than the control (P < 0.05). As for the blood lipids, non-high-density lipoprotein cholesterol (non-HDL-c) was significantly higher in the stone group as compared to the control (P < 0.01), while total cholesterol, triglycerides, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol did not show statistical difference between the two groups. In the multivariate analysis, only non-HDL-c and serum uric acid were increased in the stone group (P = 0.003 and P = 0.008). In the stone compositions’ analysis, serum uric acid and non-HDL-c were associated with percentage of uric acid and pure calcium oxalate stones, respectively.

Conclusion

Non-high-density lipoprotein cholesterol may act as a lipid risk factor for urolithiasis in children.

Non-HDL Cholesterol or apoB: Which to Prefer as a Target for the Prevention of Atherosclerotic Cardiovascular Disease?

PURPOSE OF REVIEW

Guidelines propose using non-HDL cholesterol or apolipoprotein (apo) B as a secondary treatment target to reduce residual cardiovascular risk of LDL-targeted therapies. This review summarizes the strengths, weaknesses, opportunities, and threats (SWOT) of using apoB compared with non-HDL cholesterol.

RECENT FINDINGS

Non-HDL cholesterol, calculated as total-HDL cholesterol, includes the assessment of remnant lipoprotein cholesterol, an additional risk factor independent of LDL cholesterol. ApoB is a direct measure of circulating numbers of atherogenic lipoproteins, and its measurement can be standardized across laboratories worldwide. Discordance analysis of non-HDL cholesterol versus apoB demonstrates that apoB is the more accurate marker of cardiovascular risk. Baseline and on-treatment apoB can identify elevated numbers of small cholesterol-depleted LDL particles that are not reflected by LDL and non-HDL cholesterol. ApoB is superior to non-HDL cholesterol as a secondary target in patients with mild-to-moderate hypertriglyceridemia (175-880 mg/dL), diabetes, obesity or metabolic syndrome, or very low LDL cholesterol < 70 mg/dL. When apoB is not available, non-HDL cholesterol should be used to supplement LDLC.

Apolipoprotein B and non-high-density lipoprotein cholesterol reveal a high atherogenicity in individuals with type 2 diabetes and controlled low-density lipoprotein-cholesterol

Background

Lipid-lowering therapy is guided by Low-density-lipoprotein cholesterol (LDL-c) levels, although the cardiovascular disease (CVD) risk could be better reflected by other lipid parameters. This study aimed at comparing a comprehensive lipid profile between patients with type 2 diabetes mellitus (T2DM) with LDL-c concentration within and above target.

Methods

A comprehensive lipid profile was characterized in 96 T2DM patients. The European Society of Cardiology/European Atherosclerosis Society (ESC/EAS) 2016 and 2019 Guidelines for the Management of Dyslipidemias were used to define LDL-c targets.

Results

In this population, only 28.1 and 16.7% of patients had mean LDL-c levels within target, as defined by the 2016 and 2019 guidelines, respectively. Applying the 2016 guidelines criteria, in patients with LDL-c within target, 22, 25 and 44% presented non-high-density lipoprotein cholesterol (non-HDL-c), Apolipoprotein B (ApoB) and oxidized LDL-c levels above the recommended range, respectively, whereas according to the 2019 guidelines criteria, 50, 39 and 44% of the patients with LDL-c within target had elevated high-density lipoprotein cholesterol (HDL-c), ApoB and oxidized LDL-c levels, respectively. LDL-c was strongly correlated with non-HDL-c (r = 0.850), ApoB (r = 0.656) and oxidized LDL-c (r = 0.508). Similarly, there was a strong correlation between non-HDL-c with both ApoB (r = 0.808) and oxidized LDL-c (r = 0.588).

Conclusions

These findings emphasize the limitations of only considering LDL-c concentration for cardiovascular (CV) risk assessment. Targeting only LDL-c could result in missed opportunities for CV risk reduction in T2DM patients. These data suggest that non-HDL-c, ApoB and oxidized LDL-c levels could be considered as an important part of these patients’ evaluation allowing for a more accurate estimation of CV risk and hopefully better management of these high-risk patients.

PCSK9 Inhibition: New Treatment Options and Perspectives to Lower Atherogenic Lipoprotein Particles and Cardiovascular Risk

PURPOSE OF REVIEW

To summarize latest clinical studies and to put them into perspectives for clinical relevant subgroups and new therapeutic options.

RECENT FINDINGS

Have investigated PCSK9 inhibitors in patients with very high cardiovascular risk and insufficient LDL cholesterol lowering under current maximal tolerated lipid-lowering therapy, patients with statin intolerance, or genetic forms of familiar hypercholesterolemia, and patients on LDL apheresis. Purpose of recent cardiovascular endpoint trials has proven cardiovascular benefit of this new approach. PCSK9 inhibition with fully humanized antibodies has proven to be effective, safe, and well-tolerated in reducing cardiovascular risk by LDL cholesterol lowering. Therefore, research interests are to elucidate additional roles and effects of PCSK9 modulation on inflammation and cellular processes of the atherosclerotic plaque and to develop alternative therapeutic strategies addressing PCSK9 as a proven and therefore promising drug target.

Nutraceutical approach for the management of cardiovascular risk - a combination containing the probiotic Bifidobacterium longum BB536 and red yeast rice extract: results from a randomized, double-blind, placebo-controlled study

BACKGROUND

Probiotics incorporated into dairy products have been shown to reduce total (TC) and LDL cholesterolemia (LDL-C) in subjects with moderate hypercholesterolemia. More specifically, probiotics with high biliary salt hydrolase activity, e.g. Bifidobacterium longum BB536, may decrease TC and LDL-C by lowering intestinal cholesterol reabsorption and, combined with other nutraceuticals, may be useful to manage hypercholesterolemia in subjects with low cardiovascular (CV) risk. This study was conducted to evaluate the efficacy and safety of a nutraceutical combination containing Bifidobacterium longum BB536, red yeast rice (RYR) extract (10 mg/day monacolin K), niacin, coenzyme Q10 (Lactoflorene Colesterolo®). The end-points were changes of lipid CV risk markers (LDL-C, TC, non-HDL-cholesterol (HDL-C), triglycerides (TG), apolipoprotein B (ApoB), HDL-C, apolipoprotein AI (ApoAI), lipoprotein(a) (Lp(a), proprotein convertase subtilisin/kexin type 9 (PCSK9)), and of markers of cholesterol synthesis/absorption.

METHODS

A 12-week randomized, parallel, double-blind, placebo-controlled study. Thirty-three subjects (18-70 years) in primary CV prevention and low CV risk (SCORE: 0-1% in 24 and 2-4% in 9 subjects; LDL-C: 130-200 mg/dL) were randomly allocated to either nutraceutical (N = 16) or placebo (N = 17).

RESULTS

Twelve-week treatment with the nutraceutical combination, compared to placebo, significantly reduced TC (- 16.7%), LDL-C (- 25.7%), non-HDL-C (- 24%) (all p < 0.0001), apoB (- 17%, p = 0.003). TG, HDL-C, apoAI, Lp(a), PCSK9 were unchanged. Lathosterol:TC ratio was significantly reduced by the nutraceutical combination, while campesterol:TC ratio and sitosterol:TC ratio did not change, suggesting reduction of synthesis without increased absorption of cholesterol. No adverse effects and a 97% compliance were observed.

CONCLUSIONS

A 12-week treatment with a nutraceutical combination containing the probiotic Bifidobacterium longum BB536 and RYR extract significantly improved the atherogenic lipid profile and was well tolerated by low CV risk subjects.

TRIAL REGISTRATION

NCT02689934 .

Skipping breakfast and non-high-density lipoprotein cholesterol level in school children: a preliminary analysis

OBJECTIVE

The objective of the study is to examine whether the increased levels of non-high-density lipoprotein cholesterol (non-HDL-c) are associated with skipping breakfast among school children.

STUDY DESIGN

A cross-sectional survey was conducted among 539 school children aged 8-12 years from the Niagara Region of Canada.

METHODS

Non-fasting finger blood was taken for total cholesterol (total-c) and HDL-c measurements. Non-HDL-c was calculated as the difference between total-c and HDL-c. The information of skipping breakfast in a week was obtained from a questionnaire, which was categorized into three groups, i.e., none, 1-3 times and 4 + times. Demographic information and other related variables were described by the three breakfast-skipping groups.

RESULTS

Approximately 44% of children (n = 182) reported skipping breakfast. There were significant differences between the three groups in the means of total-c, non-HDL-c, body mass index, waist circumference, proportions of overall health excellent, eating dinner with parent and skipping breakfast that affects learning (P < 0.05). The number of days of skipping breakfast was weakly correlated to the level of non-HDL-c (r = 0.145, P < 0.0001). Multiple regression results indicated that every one more time of skipping breakfast would increase approximately 0.05 mmol/L level of non-HDL-c (P < 0.01), on average, after adjusting for those aforementioned potential confounding variables. The adjusted mean levels of non-HDL-c were 2.77, 2.94 and 3.07 mmol/L for none, skipping 1-3 times and skipping 4 + times of breakfast, respectively; the mean differences between none and the other two groups were statistical significant (P < 0.05).

CONCLUSION

Non-HDL-c levels is positively associated with the number of skipping breakfast among school children, and further research is needed to confirm this relationship.

Non-HDL-cholesterol to HDL-cholesterol ratio is an independent risk factor for liver function tests abnormalities in geriatric population

Background

Excessive lipid depositing in liver cells could induce pathophysiological development of liver. Our study aimed to assess whether non-HDL cholesterol to HDL-cholesterol ratio (NonHDLc/HDLc) is an independent risk factor for liver function tests (LFTs) abnormalities in geriatric population.

Methods

We enrolled 1745 eligible subjects (714 males, 1031 females) with normal liver function tests at baseline who participated in annual health checkup for liver disease in 2015. Logistic regression models were used to examine the independent relationship between NonHDLc/HDLc ratio and LFTs abnormalities.

Results

After one year follow-up, there were 6.1% (n = 107) participants developed new-onset LFTs abnormalities in 2016. Equally dividing participants into tertiles according to their baseline NonHDLc/HDLc ratio levels, we found compared with tertile 1, the multivariable-adjusted ORs (95% CIs) for new-onset LFTs abnormalities of tertile 3 were 2.85 (1.18–6.93), P = 0.021. In stratified analysis, compared with controls, the correlation between NonHDLc/HDLc ratio and incidence of LFTs abnormalities was more remarkable in female individuals, BMI > 24 individuals and free of diabetes individuals.

Conclusion

Our study suggests that NonHDLc/HDLc ratio is an independent risk factor for LFTs abnormalities in geriatric population, and assessment of NonHDLc/HDLc ratio may help early identify high risk people of liver diseases.

Trial registration

Trial registration in the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology (IORG No: IORG0003571). Registered 3 March 2015.

Electronic supplementary material

The online version of this article (10.1186/s12944-018-0940-0) contains supplementary material, which is available to authorized users.

Residual cardiovascular risk of lipid origin. Components and pathophysiological aspects

There is no doubt about the relationship between LDL-c and cardiovascular risk, as well as about the benefits of statin treatment. Once the objective of LDL-c has been achieved, the evidences that demonstrate the persistence of a high cardiovascular risk, a concept called residual risk, are notable. The residual risk of lipid origin is based on atherogenic dyslipidemia, characterized by an increase in triglycerides and triglyceride-rich lipoproteins, a decrease in HDL-c and qualitative alterations in LDL particles. The most commonly used measures to identify this dyslipidemia are based on the determination of total cholesterol, triglycerides, HDL, non-HDL cholesterol and remaining cholesterol, as well as apolipoprotein B100 and lipoprotein (a) in certain cases. The treatment of atherogenic dyslipidemia is based on weight loss and physical exercise. Regarding pharmacological treatment, we have no evidence of cardiovascular benefit with drugs aimed at lowering triglycerides and HDL-c, fenofibrate seems to be effective in situations of atherogenic dyslipidemia.

Lipid Biomarkers for Risk Assessment in Acute Coronary Syndromes

PURPOSE OF REVIEW

The objective of this review was to summarize evidence gathered for the prognostic value of routine and novel blood lipids and lipoproteins measured in patients with acute coronary syndromes (ACS).

RECENT FINDINGS

Data supports clear association with risk and actionable value for non-high-density lipoprotein (Non-HDL) cholesterol and plasma ceramides in a setting of ACS. The prognostic value and clinical actionability of apolipoprotein B (apoB) and lipoprotein(a) [Lp(a)] in ACS have not been thoroughly tested, while the data for omega-3 fatty acids and oxidized low-density lipoprotein (Ox-LDL) are either untested or more varied. Measuring basic lipids, which should include Non-HDL cholesterol, at the time of presentation for ACS is guideline mandated. Plasma ceramides also provide useful information to guide both treatment decisions and follow-up. Additional studies targeting ACS patients are necessary for apoB, Lp(a), omega-3 fatty acids, and Ox-LDL.

Prediction of future cardiovascular disease with an equation to estimate apolipoprotein B in patients with high cardiovascular risk: an analysis from the TNT and IDEAL study

BACKGROUND

Apolipoprotein B (apoB) is known to be a more powerful predictor of cardiovascular disease than conventional lipids. We aimed to determine the clinical relevance of a newly developed equation to estimate serum apoB levels based on total cholesterol, HDL cholesterol, and triglycerides in patients with high cardiovascular risk.

METHODS

The occurrence of a major cardiovascular event (MCVE) was assessed using the data from the Treating to New Targets (TNT) and Incremental Decrease in End points through Aggressive Lipid lowering (IDEAL) trials.

RESULTS

Pooled analysis of these two data sets showed that both directly-measured apoB (HR per 1-SD (95% CI): 1.16 (1.11-1.21), P < 0.001) and apoB estimated from the eq. (HR per 1-SD (95% CI): 1.14 (1.09-1.19), P < 0.001) were significantly associated with the development of a future MCVE. Prediction of MCVEs by the apoB eq. (C statistic 0.650) was nearly identical to that of directly-measured apoB (0.651). In addition, the net reclassification indices indicated no difference in the prediction of MCVEs between models including the apoB equation and directly-measured apoB (1% (-1.3-4.0), P = 0.31).

CONCLUSIONS

Our equation to predict apoB levels showed MCVE risk prediction comparable to directly-measured apoB in high risk patients with previous coronary heart disease.

Non-high-density lipoprotein fractions are strongly associated with the presence of metabolic syndrome independent of obesity and diabetes: a population-based study among Iranian adults

BACKGROUND

Non-HDL-C as a valuable predictor of premature atherosclerosis, coronary events like first Myocardial infarction and cardiovascular mortality has a high accuracy of measurement both in fasting and non-fasting individuals. Metabolic syndrome (MetS) can promote the development of diabetes mellitus, endothelial dysfunction and atherosclerosis. A common pathway for cross linking of metabolic abnormalities and non-HDL-C has been suggested. In this study we aimed to describe the potential association between non-HDL cholesterol fractions and metabolic syndrome.

METHODS

Data of third national surveillance of the risk factors of non-communicable diseases (SuRFNCD-2007) were analyzed. We defined metabolic syndrome (MetS) according to the Adult Treatment Panel III (ATPIII) and International Diabetes Federation (IDF) criteria for 2125 subjects aging 25-64 years. The receiver operating characteristic (ROC) curves were used to determine the optimal cut-points for the diagnosis of MetS. The curves were depicted for non-high-density lipoprotein cholesterol (non-HDL-C) and difference of total non-HDL-C and LDL-C (Differential cholesterol or Diff-C) as predictors of MetS. Logistic regression was also performed in a complex sample analysis scheme.

RESULTS

The area under the curve (AUC) with 95% Confidence intervals of total non-HDL-C was computed. Values were 0.693 (0.670-0.715) for IDF-defined MetS and 0.719 (0.697-0.740) for ATPIII criteria. The optimal non-HDL-C cut-point we recommend for both criteria is 153.50 mg/dl (sensitivity: 75.7%, specificity: 57.2%, with ATPIII; sensitivity: 73.2%, specificity: 57.1%, with IDF). Using IDF criteria, the accuracy of predictors were greater in non-diabetic subjects. AUC of Diff-C in DM (-) vs. DM (+) were 0.786 (0.765-0.807) vs. 0.627(0.549-0.705). Adults with high non-HDL-C were 4.42 times more likely to have ATPIII-defined MetS (≥190 vs. < 190 mg/dL). Elevated Diff-C corresponded to increased risk of the MetS (ORs: 10.71 and 26.29 for IDF and ATP III criteria, respectively. All P-values <0.001).

CONCLUSIONS

A significant robust association exists between non-HDL-C and MetS whether applying conventional or new thresholds.

Glucose-independent association of adiposity and diet composition with cardiovascular risk in children and adolescents with type 1 diabetes

AIMS

To test the hypothesis that diet composition, adiposity and glycometabolic control could independently contribute to an increase in the cardiovascular risk (CVR) for children/adolescents with type 1 diabetes (T1D).

METHODS

One hundred and eighty children/adolescents with T1D (age range 5-18 years) were enrolled. Diet (3-day weighed dietary record), physical (height, weight, waist circumference, bioelectrical impedance analysis) and biochemical (HbA1c, lipid profile) parameters were recorded. Regression models, using non-HDL cholesterol (a gross index of CVR) as the dependent variable and HbA1c (mmol/mol), fat mass (FM) %, lipid-to-carbohydrate intake ratio as independent ones, were calculated.

RESULTS

Non-HDL cholesterol was significantly associated with adiposity (FM%; r = 0.27, 95% CI 0.13-0.43), body fat distribution (waist-to-height ratio; r = 0.16, 95% CI 0.02-0.31), lipid intake [% of energy intake (EI)] (r = 0.25, 95% CI 0.11-0.41), carbohydrate intake (% EI; r = -0.24, 95% CI 0.10-0.40), lipid-to-carbohydrate intake ratio (r = 0.26, 95% CI 0.12-0.42) and blood glucose control (HbA1c; r = 0.24, 95% CI 0.10-0.40). A p value cutoff of 0.10 was used for covariates to be included in the regression analysis. Multiple regression analysis showed that adiposity (FM%), blood glucose control (HbA1c) and lipid-to-carbohydrate intake ratio independently contributed to explaining the inter-individual variability of non-HDL cholesterol (R ² = 0.163, p < 0.05).

CONCLUSIONS

Adiposity and lipid-to-carbohydrate intake ratio affect non-HDL cholesterol, a gross index of CVR, regardless of HbA1c, in children and adolescents with T1D. Intervention to reduce CVR in T1D patients should focus not only on glycometabolic control but also on adiposity and diet composition.

Effect of ezetimibe on low- and high-density lipoprotein subclasses in sitosterolemia

BACKGROUND AND AIMS

Sitosterolemia displays high plasma total sterols [high plant sterols (PS) + normal to high total cholesterol (TC)] with normal to moderately elevated low-density lipoprotein (LDL) levels. High LDL, intermediate-density lipoprotein (IDL) and very low-density lipoprotein (VLDL) particles, low high-density lipoprotein (HDL), and increased non-HDL and the ratios of TC and triglycerides (TG) to HDL can increase the risk for atherosclerosis. Ezetimibe (EZE) can reduce plasma PS and TC levels in sitosterolemia, but its effect on lipoprotein subclasses has not been previously reported.

METHODS

Sitosterolemia patients (n = 8) were taken off EZE for 14 weeks (OFF EZE) and placed on EZE (10 mg/d) for 14 weeks (ON EZE). Serum lipids were measured enzymatically and lipoprotein subclasses were assessed by polyacrylamide gel electrophoresis.

RESULTS

EZE reduced (p < 0.05) total sterols (-12.5 ± 4.1%) and LDL-sterol (-22.7 ± 5.7%) and its sterol mass of large VLDL (-24.4 ± 4.5%), VLDL remnants (-21.1 ± 7.9%) and large IDL (-22.4 ± 7.2%) compared to OFF EZE. EZE did not affect large LDL subclasses or mean LDL particle size (273.8 ± 0.6 vs. 274.6 ± 0.3 Å). EZE increased HDL-sterol (25.5 ± 8.0%, p = 0.008) including intermediate (34 ± 14%, p = 0.02) and large (33 ± 16%, p = 0.06) HDL. EZE reduced non-HDL-sterol (-21.8± 5.0%), total sterols/HDL (-28.2 ± 5.5%) and TG/HDL (-27.4 ± 6.5%, all p < 0.01).

CONCLUSIONS

EZE improves VLDL and HDL subfraction distribution, thereby reducing the atherogenic lipid profile, thus providing potential clinical benefit in sitosterolemia beyond TC and PS reduction.

Associations between non-traditional lipid measures and risk for type 2 diabetes mellitus in a Chinese community population: a cross-sectional study

BACKGROUND

This study investigated associations between type 2 diabetes mellitus and non-traditional lipid measures (total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C), triglycerides (TG)/HDL-C, and non-HDL-C).

METHODS

We conducted a community-based, cross-sectional study of 9 078 participants aged 18 years or older (4 768 men and 4 310 women) who lived in the Jidong community, Tangshan, China. The adjusted odds ratios for type 2 diabetes were calculated for every standard deviation change in TC, log-transformed TG, HDL-C, LDL-C, non-HDL-C, TC/HDL-C, and log-transformed TG/HDL-C using multivariate logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was used to define the points of maximum sum of sensitivity and specificity for each lipid measure as a predictor for type 2 diabetes.

RESULTS

Prevalence of type 2 diabetes was 6.29%. Higher TC, TG, LDL-C, non-HDL-C, TC/HDL-C, and TG/HDL-C, and lower HDL-C levels were individually associated with type 2 diabetes in multivariate analyses (all P < 0.05). TC/HDL-C was superior at discriminating between participants with and without type 2 diabetes compared with LDL-C (comparing ROC: P < 0.001), HDL-C (P < 0.001), TG (P = 0.012), TC (P < 0.001), non-HDL-C (P = 0.001), and TG/HDL-C (P = 0.03). The cutoff point for TC/HDL-C was 1.30 mmol/L in this population from the Jidong community. Sensitivity and specificity values for TC/HDL-C were 0.77 and 0.53, respectively.

CONCLUSIONS

TC/HDL-C is associated with type 2 diabetes and is superior to LDL-C and HDL-C as a risk marker in this population.

Comparison of lipid parameters to predict cardiovascular events in Japanese mild-to-moderate hypercholesterolemic patients with and without type 2 diabetes: Subanalysis of the MEGA study

AIMS

To determine whether specific lipid parameters are better predictors of cardiovascular disease (CVD) in Japanese mild-to-moderate hypercholesterolemic patients with and without diabetes.

METHODS

Mildly or moderately hypercholesterolemic patients with no history of CVD received diet therapy or diet therapy plus pravastatin. In this post-hoc subanalysis, 5-year data from 3170 patients (668 diabetes, 2502 non-diabetes) on diet therapy alone were used to compare lipid parameters as predictors of CVD. We examined the data by tertiles, using hazard ratio (HR) per one-standard deviation (SD) increment (decrease for high-density lipoprotein cholesterol, HDL-C), χ(2) value, receiver operating characteristic curve analysis, and spline analysis.

RESULTS

In mild-to-moderate hypercholesterolemic patients with diabetes, increased total cholesterol (TC)/HDL-C, low-density lipoprotein cholesterol (LDL-C)/HDL-C and decreased HDL-C were strongly associated with increased incidence of CVD (tertile analysis). In non-diabetes, increased non-HDL-C, and LDL-C/HDL-C were significantly associated with increased incidence of CVD. A one-SD decrease in HDL-C and a one-SD increment in non-HDL-C, TC/HDL-C, and LDL-C/HDL-C were significantly associated with increased HRs for CVD in both diabetes and non-diabetes. Linear CVD risk increases were found for non-HDL-C in diabetes and for non-HDL-C and HDL-C in non-diabetes (spline analysis).

CONCLUSIONS

In mild-to-moderate hypercholesterolemia, CVD risk prediction by stratifications of single or combination of traditional lipid parameter values illustrates various patterns. Parameters including HDL-C are better predictors of cardiovascular risk than only using TC or LDL-C alone. Non-HDL-C could be the most useful lipid parameter to assess CVD risk, considering it is easy to calculate and less affected by food intake.

Non-high-density lipoprotein cholesterol target achievement in patients on lipid-lowering drugs and stratified by triglyceride levels in the Arabian Gulf

BACKGROUND

Atherogenic dyslipidemia is highly prevalent in the Arabian Gulf. Non-high-density lipoprotein cholesterol (non-HDL-C) reduction has been proposed as an additional goal to low-density lipoprotein cholesterol (LDL-C) lowering to prevent atherosclerotic cardiovascular disease (ASCVD). Data on non-HDL-C goal attainment in patients with high triglycerides (TGs) on lipid-lowering drugs (LLDs) in the region is scarce.

OBJECTIVE

Evaluate non-HDL-C target attainment according to the National Lipid Association in patients on LLDs stratified by TG (<150 [1.69], 150-200 [1.69-2.26], >200 [2.26] mg/dL [mmol/L]) levels in the Arabian Gulf.

METHODS

Overall, 4383 patients on LLD treatment from 6 Middle Eastern countries participating in the Centralized Pan-Middle East Survey on the Undertreatment of Hypercholesterolemia study were evaluated. Patients were classified according to TG levels and ASCVD risk.

RESULTS

The overall non-HDL-C goal attainment was 41% of the subjects. Non-HDL-C goal was less likely attained in patients with high TGs (12% vs 27% vs 55%; P < .001). Very high ASCVD risk patients with high TGs attained less their non-HDL-C targets compared with those with lower TG levels (8% vs 23% vs 51%; P < .001). Similarly, high ASCVD risk patients with high TGs also failed more in attaining non-HDL-C targets compared with those with lower TGs (26% vs 42% vs 69%; P < .001). In addition, those with high TG also succeeded less in attaining LDL-C and apolipoprotein B goals (P < .001).

CONCLUSIONS

A large proportion of very high and high ASCVD patients on LLDs in the Arabian Gulf are not at recommended non-HDL-C targets and hence remain at a substantial residual risk.

Nuclear magnetic resonance-determined lipoprotein subclasses and carotid intima-media thickness in type 1 diabetes

BACKGROUND

Dyslipidemia has been linked to vascular complications of Type 1 diabetes (T1DM). We investigated the prospective associations of nuclear magnetic resonance-determined lipoprotein subclass profiles (NMR-LSP) and conventional lipid profiles with carotid intima-media thickness (IMT) in T1DM.

METHODS

NMR-LSP and conventional lipids were measured in a subset of Diabetes Control and Complications Trial (DCCT) participants (n = 455) at study entry ('baseline', 1983-89), and were related to carotid IMT determined by ultrasonography during the observational follow-up of the DCCT, the Epidemiology of Diabetes Interventions and Complications (EDIC) study, at EDIC Year 12 (2004-2006). Associations were defined using multiple linear regression stratified by gender, and following adjustment for HbA1c, diabetes duration, body mass index, albuminuria, DCCT randomization group, smoking status, statin use, and ultrasound devices.

RESULTS

In men, significant positive associations were observed between some baseline NMR-subclasses of LDL (total IDL/LDL and large LDL) and common and/or internal carotid IMT, and between conventional total- and LDL-cholesterol and non-HDL-cholesterol and common carotid IMT, at EDIC Year 12; these persisted in adjusted analyses (p < 0.05). Large LDL particles and conventional triglycerides were positively associated with common carotid IMT changes over 12 years (p < 0.05). Inverse associations of mean HDL diameter and large HDL concentrations, and positive associations of small LDL with common and/or internal carotid IMT (all p < 0.05) were found, but did not persist in adjusted analyses. No significant associations were observed in women.

CONCLUSION

NMR-LSP-derived LDL particles, in addition to conventional lipid profiles, may help in identifying men with T1DM at highest risk for vascular disease.

Non-high-density cholesterol level as a predictor of maximum carotid intima-media thickness in Japanese subjects with type 2 diabetes: a comparison with low-density lipoprotein level

Aim

To determine whether non-high-density lipoprotein cholesterol (non-HDL-C) level, in comparison with low-density lipoprotein cholesterol (LDL-C) level, is useful for predicting the values of various surrogate atherosclerosis markers in Japanese subjects with type 2 diabetes (T2DM).

Methods

Data were retrieved from medical records of 265 subjects with T2DM who underwent laboratory tests to evaluate for atherosclerosis by using the following parameters: brachial-ankle pulse wave velocity, mean and maximum carotid intima-media thickness (mean CIMT and max-CIMT), and ankle-brachial index, with simultaneous fasting blood sampling for routine lipid parameters.

Results

In a multiple stepwise regression analysis, non-HDL-C level, but not LDL-C level, positively correlated with max-CIMT (β coefficient = 0.14, F = 6.84). Stepwise logistic regression analysis revealed that a 0.26 mmol/L (10 mg/dL) increase in non-HDL-C level, but not LDL-C level, was significantly associated with high risk of max-CIMT (≥1.1 mm; odds ratio, 1.096; 95 % confidence interval, 1.003-1.202; p = 0.046). However, in a receiver operating characteristic curve (ROC) analysis, the addition of non-HDL-C level to the three significant independent variables obtained from the stepwise analyses did not significantly increased the area under the ROC curve (from 0.7789 to 0.7864, p = 0.4343).

Conclusions

Non-HDL-C levels may be non-inferior to LDL-C level for the prediction of high-risk max-CIMT in Japanese subjects with T2DM.

Efficacy and safety of mipomersen in treatment of dyslipidemia: a meta-analysis of randomized controlled trials

BACKGROUND

Low-density lipoprotein cholesterol (LDL-C) is the primary target of lipid-lowering therapy in people at risk for cardiovascular diseases. Mipomersen inhibits apolipoprotein B-100 (apoB) synthesis and causes reduction in LDL-C by reducing apoB.

OBJECTIVE

We aimed to perform a meta-analysis of all published randomized controlled trials comparing safety and efficacy of mipomersen with placebo in adults with dyslipidemia.

METHODS

We searched PUBMED, CENTRAL, and EMBASE from inception through March 2014 and used random-effects model to compute the effect size.

RESULTS

We identified 8 randomized controlled trials (n = 462). Mipomersen compared with placebo significantly reduced LDL-C by 32.37% (95% confidence interval, 25.55-39.18; P < .00001), total cholesterol by 24.18% (18.54-29.83; P < .00001), very low-density lipoprotein cholesterol by 21.59% (9.16-34.02; P = .0007), non-high-density lipoprotein cholesterol (HDL-C) by 30.83% (23.92-37.74; P < .00001), and triglycerides by 36.26% (22-50.54; P < .00001). It also significantly reduced apoB, lipoprotein(a), and apolipoprotein A1. However, mipomersen did not significantly change HDL-C levels. In safety analysis, mipomersen compared with placebo increased the risks of injection-site reaction (risk ratio, 2.05; 95% confidence interval, 1.39-3.04; P = .0003), flu-like symptoms (1.63; 1.22-2.17; P = .0008), alanine aminotransferase ≥3X upper limit of normal (4.44; 1.67-11.86; P = .003), and hepatic steatosis (3.85, 1.39-10.67; P = .01). The risks of alanine aminotransferase ≥10X upper limit of normal did not reach statistical significance (1.57; 0.32-7.6, P = .58).

CONCLUSION

Mipomersen resulted in a significant improvement in lipid parameters except for HDL-C and increased the risks of injection-site reactions, flu-like symptoms, and hepatic steatosis compared with placebo.

Non-high-density lipoprotein cholesterol and other lipid indices vs elevated glucose risk in Arab adolescents

BACKGROUND

Non-high-density lipoprotein cholesterol (non-HDL-C) has been identified as a significant predictor of various cardiovascular events in adults. Limited studies have been conducted in the pediatric population with diverse results, depending on ethnic origin. None has been conducted in the Arabic adolescent population so far; this study aims to fill this gap.

METHODS

In this cross-sectional study, 1690 Saudi school adolescents (968 boys [mean age 14.8 ± 1.7] and 722 girls [mean age 14.6 ± 1.7]) were recruited. Anthropometrics were obtained. Fasting blood glucose and lipid profiles were quantified routinely. Non-HDL-C was calculated and screening was done for dyslipidemia using cutoffs obtained from the cohort and elevated fasting glucose.

RESULTS

Using the 90th percentile cutoff obtained, the overall prevalence of high non-HDL-C (≥4.26 mmol/L) was 10.1%. Prevalence was slightly higher in girls (10.5%) than boys (9.9%). Non-HDL-C was similar to other lipids in terms of significant associations with anthropometric measures and glucose in both boys and girls. Elevated triglycerides was most predictive of elevated glucose in both girls (odds ratio 2.41; confidence interval 1.43-4.08; P = .001) and boys (odds ratio 2.61; confidence interval 1.70-4.0); P < .001).

CONCLUSION

Non-HDL-C appears to be gender-specific and is cardiometabolically more associated with Saudi boys, despite higher levels in girls. It is inferior compared with triglycerides in assessing elevated glucose risk. Further investigations may provide a more definite value for non-HDL-C use as a biomarker in assessing cardiometabolic risk in the Arab adolescent population.

Non-HDL cholesterol is a better target for predicting periprocedural myocardial injury following percutaneous coronary intervention in type 2 diabetes

OBJECTIVE

Non-HDL cholesterol (non-HDL-C) has recently been recommended as a first target for dyslipidemia management. We previously reported that LDL cholesterol (LDL-C) and non-HDL-C levels were similarly associated with periprocedural myocardial injury (PMI) following percutaneous coronary intervention (PCI) in patients with coronary artery disease. Here we investigated the comparative prognostic value of non-HDL-C and LDL-C for PMI following PCI in type 2 diabetes (T2D).

METHODS

We prospectively enrolled 1194 consecutive T2D patients with normal preprocedural cTnI undergoing PCI. Patients were divided into the two groups: group A [glycated hemoglobin (HbA1c) < 7%, n = 567] and group B (HbA1c ≥ 7%, n = 627). PMI was evaluated by cTnI analysis within 24 h. The relationship of preprocedural non-HDL-C and LDL-C levels with peak cTnI values after PCI was examined.

RESULTS

Patients in group B, with higher preprocedural non-HDL-C levels, had higher postprocedural cTnI levels (β = 0.102, P = 0.011). In the multivariable model, a 1-SD increase in non-HDL-C produced a 30% and 33% increased risk of postprocedural cTnI >3 × upper limit of normal (ULN) and >5 × ULN in group B, respectively. However, neither LDL-C nor group A patients were affected. Furthermore, patients with non-HDL-C levels ≥ 130 mg/dl compared with non-HDL-C levels ≤ 100 mg/dl were associated with a 83.3% and 71.7% increased risk of postprocedural cTnI >3 × ULN and >5 × ULN in group B, respectively.

CONCLUSIONS

In poorly-controlled diabetic patients (HbA1c ≥ 7%) undergoing PCI, non-HDL-C but not LDL-C was independently associated with and increased risk of PMI, and non-HDL-C levels ≥ 130 mg/dl had a worse PMI risk profile compared with non-HDL-C levels <100 mg/dl.

Effect of sitagliptin on lipid profile in patients with type 2 diabetes mellitus

BACKGROUND

Animal studies have demonstrated that an inhibition of DPP-4 has an impact on the secretion of cholesterol and apoB by the small intestine. However, there is no consensus about the changes of the lipid profile following administration of sitagliptin.

METHODS

Accordingly, we treated patients who had type 2 diabetes complicated by dyslipidemia with sitagliptin and evaluated its effects on the profile of lipid parameters. A total of 248 outpatients with type 2 diabetes complicated by dyslipidemia were treated with sitagliptin at a daily dose of 50 mg. The levels and percent changes of lipid and glucose metabolism markers were measured at baseline and at 12 weeks after the initiation of treatment.

RESULTS

Both plasma glucose and HbA1c were significantly decreased. Among the lipid parameters, total cholesterol (TC) and non-high-density lipoprotein cholesterol (non-HDL-C) showed a significant decrease (TC 3.6±15.6%, non-HDL-C 2.9±19.7%; P < 0.05). Stratified analysis revealed a significant decrease of TC, low-density lipoprotein cholesterol (LDL-C) and non-HDL-C in the high triglyceride (TG) group (≥ 150 mg/dL) (P < 0.05). Analysis stratified by demographic factors demonstrated significant differences in the changes of TC, LDL-C and non-HDL-C. Multivariate analysis showed a significant decrease of the TC, LDL-C and non-HDL-C levels in the high TG group (≥ 150 mg/dL), as well as a significant decrease of TC and LDL-C in patients using strong statins.

CONCLUSIONS

The results suggested that sitagliptin caused a significant decrease of TC, LDL-C and non-HDL-C, particularly in patients with high baseline TG levels and those using strong statins.

Lipid-lowering therapy and lipid goal attainment in patients with metabolic syndrome in China: subgroup analysis of the Dyslipidemia International Study-China (DYSIS-China)

OBJECTIVE

To objectively evaluate lipid-lowering therapy and low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) goal attainment in metabolic syndrome (MetS) patients in China.

METHODS

Data regarding patient demographics, lipid-lowering agents, lipid parameters, and cardiovascular risk profiles were analyzed for 25,317 patients of the Dyslipidemia International Study-China. MetS was defined according to criteria of the NCEP-ATP III and the 2007 Chinese Guidelines on Prevention and Treatment of Dyslipidemia in Adults.

RESULTS

The prevalence of MetS was 39.9% and 37.4% according to the NCEP-ATP III and 2007 Chinese Guidelines, respectively. LDL-C goal attainment occurred less frequently among MetS patients than in those without MetS (NCEP-ATP III: 46.9% vs 68.6%; 2007 Chinese Guidelines: 52.2% vs 67.1%; p < 0.001). Similar results were obtained for non-HDL-C goal attainment (2007 Chinese Guidelines: 51.0% vs 72.0%; p < 0.001). As the risk class increased, LDL-C and non-HDL-C goal attainment decreased. In multivariate logistic regression analysis, DM, CHD, ischemic cerebrovascular disease, and higher SBP were independently associated with failure to achieve LDL-C and non-HDL-C goal attainment. The type of lipid-lowering agent was not significantly correlated with LDL-C not at goal attainment but was correlated with non-HDL-C not at goal attainment.

CONCLUSION

Goal attainment for both LDL-C and non-HDL-C occurs less frequently in MetS patients than in those without MetS. The residual risk due to elevated non-HDL-C levels should be considered in MetS patients. Strategies for controlling multiple risk factors in order to decrease the residual risk related to dyslipidemia in MetS patients should be recommended in future guidelines.

[Efficacy studies]

Pravafenix(®) is a fixed-dose combination of 40mg of pravastatin and 160 mg of fenofibrate. The rationale behind the use of Pravafenix(®) is based on the increased residual cardiovascular risk observed in high risk patients with hypertriglyceridemia and/or low HDL cholesterol levels despite treatment with statins in monotherapy. In this article, we review the available evidence on the clinical efficacy of Pravafenix(®), which shows complementary benefits in the overall lipid profile of high risk patients with mixed dyslipidemia not controlled with 40-mg pravastatin or 20-mg simvastatin.

Prevalence of dyslipidaemia in patients treated with lipid-lowering agents in China: results of the DYSlipidemia International Study (DYSIS)

BACKGROUND

Despite clear guideline recommendations, there is a paucity of data regarding the prevalence and type of persistent lipid profile abnormalities in patients on stable lipid-lowering therapy in China.

METHODS

This cross-sectional trial included 25,697 patients treated with lipid-lowering agents from 122 centres between April 2012 and October 2012; all underwent clinical examination and had their latest fasting lipid profiles while on lipid-lowering therapy recorded. Logistic regression was performed to assess predictors for lipid abnormalities classified according to current Chinese guidelines.

FINDINGS

Overall, 29.1% of patients had no lipid abnormalities, and 38.5% of patients did not achieve the therapeutic goal for low-density lipoprotein cholesterol (LDL-C), either as a single lipid anomaly or associated with low high-density lipoprotein cholesterol (HDL-C), elevated triglycerides, or both. Subjects with low risk were more likely than those with very high and high risk to be at target LDL-C levels. Furthermore, 10.4% of very high-risk patients and 11.1% of high-risk patients who attained the LDL-C goal failed to attain non-HDL-C goals. Diabetes was shown to be a strong predictor of failure in attaining non-HDL-C and both goals (OR 3.03; 3.22, 95% CI 2.58-3.55; 2.73-3.79, respectively).

CONCLUSION

Although great improvements have been made over the past decade, the large majority of very high-risk and high-risk patients treated with lipid-lowing agents still had one or more manifestations of dyslipidaemia. Further clinical evidence is needed to clarify whether adding other lipid-lowering agents to a statin will be associated with additional cardiovascular risk reduction.

Non-HDL cholesterol is an independent risk factor for aspirin resistance in obese patients with type 2 diabetes

OBJECTIVE

We evaluated the prevalence of aspirin resistance and predictive factors for aspirin resistance in Korean type 2 diabetes patients.

APPROACH AND RESULTS

A total of 1045 type 2 diabetes patients from 11 hospitals who were taking aspirin (100 mg/day for ≥2 weeks) and no other antiplatelet agents were studied to evaluate aspirin resistance. Aspirin resistance was measured in aspirin reaction units using VerifyNow(®). Aspirin resistance was defined as ≥550 aspirin reaction units. Aspirin resistance was detected in 102 of the 1045 subjects (prevalence 9.8%). Aspirin resistance was associated with total cholesterol (P = 0.013), LDL-cholesterol (P = 0.028), and non-HDL cholesterol (P = 0.008) concentrations in univariate analysis. In multivariate logistic regression analysis, only non-HDL cholesterol was associated with aspirin resistance in obese (BMI >25 kg/m(2)) type 2 diabetes patients (adjusted odds ratio 3.55, 95% CI: 1.25-10.05, P = 0.017).

CONCLUSIONS

The prevalence of aspirin resistance in Korean type 2 diabetes patients is 9.8%. Non-HDL cholesterol is an independent risk factor for aspirin resistance, especially in obese type 2 diabetes patients.

Apolipoprotein A-V variant (T-1131>C) affects plasma levels of non-high-density lipoprotein cholesterol in Caucasians

BACKGROUND

The importance of apolipoprotein A-V (APOAV) gene variants in the determination of plasma triglyceride levels in humans has been proven in several population studies.

OBJECTIVES

To investigate whether APOAV gene variants are associated with the different plasma cholesterol fractions.

METHODS

The influence of APOAV polymorphisms (T-1131>C, Ser19>Trp and Val153>Met) on plasma cholesterol fractions was evaluated in 1191 men and 1368 women representatively selected from the Czech population. Low-density lipoprotein cholesterol, non-high-density lipoprotein (non-HDL) cholesterol and HDL cholesterol levels were analyzed.

RESULTS

The T-1131>C variation in the APOAV gene was found to affect plasma non-HDL cholesterol, showing significantly higher levels in C-1131 carriers than in T/T-1131 homozygotes. This association was observed in both men (4.61+/-1.09 mmol/L in C-1131 carriers versus 4.47+/-1.07 mmol/L in T/T-1131 homozygotes; P<0.01) and women (4.46+/-1.22 mmol/L in C-1131 carriers versus 4.24+/-1.17 mmol/L in T/T-1131 homozygotes; P<0.01). Interestingly, when low-density lipoprotein cholesterol (obtained by the Friedewald formula) or HDL cholesterol levels were analyzed, no significant association was detected.

CONCLUSION

The APOAV gene variant T-1131>C may play a role not just in the genetic determination of triglyceride levels but may also influence plasma levels of non-HDL cholesterol.