Comparison of Three Methods for LDLC Calculation for Cardiovascular Disease Risk Categorisation in Three Distinct Patient Populations.

BACKGROUND: Limitations of the Friedewald equation for low-density-lipoprotein cholesterol (F-LDLC) calculation led to the Martin-Hopkins (M-LDLC) and Sampson-National Institutes of Health (S-LDLC) equations. We studied these newer calculations of LDLC for correlation and discordance for stratification into the Canadian Cardiovascular Society (CCS) 2021 Dyslipidemia Guidelines' cardiovascular disease (CVD) risk categories. METHODS: We performed analyses on lipid profiles from 3 populations: records of a hospital biochemistry laboratory (population 1), lipid clinic patients without select monogenic dyslipidemias (population 2A), and lipid clinic patients with familial hypercholesterolemia (FH; population 2B). RESULTS: There was very strong correlation among the 3 calculated LDLC. In populations 1 and 2A, M-LDLC and S-LDLC were progressively higher than F-LDLC as triglyceride (TG) levels increased from normal to ∼ 5 mmol/L. In population 2B, M-LDLC was higher than F-LDLC, but S-LDLC was progressively lower than F-LDLC. Using the CCS 2021 guidelines' 4 CVD risk categories, 7.0% (population 2A) to 7.2% (population 1) of cases for M-LDLC vs F-LDLC and 3.9% (population 2A) to 4.4% (population 1) of cases for S-LDLC vs F-LDLC were reclassified to an adjacent CVD risk category, mostly from a lower to a higher risk category. CONCLUSIONS: Switching from F-LDLC to S-LDLC or M-LDLC can reclassify up to ∼ 4.4% or 7.2% of patients, respectively, to another CCS CVD risk category. The difference between F-LDLC and M-LDLC or S-LDLC is greater with higher TG, and with lower LDLC. We recommend that clinical laboratories switch to reporting results from either M-LDLC or S-LDLC, but S-LDLC should not be used in FH patients, pending further studies.

A More Atherogenic Lipoprotein Status Is Present in Adults With Type 2 Diabetes Mellitus Than in Those Without With Equivalent Degrees of Hypertriglyceridemia.

OBJECTIVES: The impact of type 2 diabetes (T2DM) on biomarkers denoting lipoprotein compositional status was studied in mild and moderate hypertriglyceridemia (HTG). Diabetic dyslipidemia pathophysiology could contribute to differences in lipoprotein compositional status, which could be reflected in the preferred cardiovascular disease risk prediction markers in HTG: non-high-density lipoprotein cholesterol (non-HDLC) and apolipoprotein B (apoB). METHODS: A total of 2,775 fasting lipid profiles from a tertiary care lipid clinic were analyzed as 2 subgroups (with and without T2DM), stratified by triglyceride (TG) levels: normotriglyceridemia (TG 0.01 to 1.7 mmol/L), mild HTG (TG 1.71 to 5 mmol/L) and moderate HTG (TG 5.01 to 10 mmol/L). The mean non-HDLC:apoB ratio in each TG stratum and subgroup was analyzed. We also used linear regression to assess the correlation between non-HDLC and apoB. RESULTS: The mean non-HDLC:apoB ratio was increased in both subgroups in patients with mild and moderate HTG, compared to those with normotriglyceridemia. In moderate HTG, the mean non-HDLC:apoB ratio in the subgroup with T2DM was significantly lower than the subgroup without T2DM. In mild and moderate HTG, the subgroup with T2DM had a stronger correlation between non-HDLC and apoB than did the subgroup without T2DM. DISCUSSION AND CONCLUSIONS: In mild and moderate HTG, adults with T2DM exhibit lipid profiles that represent a different and more atherogenic lipoprotein compositional status, when compared with adults without T2DM. For the same severity of HTG, the lipoprotein compositional status in diabetic dyslipidemia suggests that there is increased abundance of smaller non-HDL particles and their remnants, which are highly atherogenic.

Metformin and carotid intima-media thickness in never-smokers with type 1 diabetes: The REMOVAL trial.

AIM: To determine whether metformin's effects on carotid artery intima-media thickness (cIMT) in type 1 diabetes differ according to smoking status. METHODS: Regression model effect estimates for the effect of metformin versus placebo (double-blind) on carotid IMT were calculated as a subgroup analysis of the REMOVAL trial. RESULTS: In 428 randomized participants (227 never-smokers, 201 ever-smokers), averaged mean carotid IMT progression (per year) was reduced by metformin versus placebo in never-smokers (-0.012 mm, 95% CI -0.021 to -0.002; p = .0137) but not in ever-smokers (0.003 mm, 95% CI -0.008 to 0.014; p = .5767); and similarly in non-current smokers (-0.008 mm, 95% CI -0.015 to -0.00001; p = .0497) but not in current smokers (0.013 mm, 95% CI -0.007 to 0.032; p = .1887). Three-way interaction terms (treatment*time*smoking status) were significant for never versus ever smoking (p = .0373, prespecified) and non-current versus current smoking (p = .0496, exploratory). Averaged maximal carotid IMT progression (per year) was reduced by metformin versus placebo in never-smokers (-0.020 mm, 95% CI -0.034 to -0.006; p = .0067) but not in ever-smokers (-0.006 mm, 95% CI -0.020 to 0.008; p = .4067), although this analysis was not supported by a significant three-way interaction term. CONCLUSIONS: This subgroup analysis of the REMOVAL trial provides additional support for a potentially wider role of adjunct metformin therapy in cardiovascular risk management in type 1 diabetes, particularly for individuals who have never smoked cigarettes.

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.

Calculated Non-HDL Cholesterol Includes Cholesterol in Larger Triglyceride-Rich Lipoproteins in Hypertriglyceridemia.

CONTEXT: Calculated non-high-density lipoprotein (HDL) cholesterol (non-HDLC) should selectively include cholesterol from atherogenic lipoproteins to be a reliable risk marker of cardiovascular disease. In hypertriglyceridemia (HTG), there is increased abundance of larger and less atherogenic triglyceride-rich lipoproteins (TRL), namely, larger very-low-density lipoproteins (VLDL), and chylomicrons. OBJECTIVE: We aim to demonstrate that serum triglyceride (TG) level has a substantial impact on non-HDLC's ability to represent cholesterol from atherogenic lipoproteins, even though TG is not part of the calculation for non-HDLC. DESIGN: Analysis of lipid profile data. SETTINGS: Lipid Clinic patient cohort, and Biochemistry Laboratory patient cohort. PATIENTS OR OTHER PARTICIPANTS: 7,492 patients in the Lipid Clinic cohort with baseline lipid profiles documented prior to starting lipid-lowering medications and 156,311 lipid profiles from The Ottawa Hospital Biochemistry Laboratory cohort. INTERVENTION: None. MAIN OUTCOME MEASURE: Our modeling process includes derivation of TG-interval-specific lipoprotein composition factor (LCF) for TRL, which represents the mass ratio of cholesterol to TG in TRL. A high LCF indicates that the TRLs are mainly the cholesterol-rich atherogenic remnant lipoproteins. A low LCF indicates that the TRLs are mainly the TG-rich larger VLDL and chylomicrons. RESULTS: As serum TG increases, there is progressive decline in the LCF for TRL, which indicates that the calculated non-HDLC level reflects progressive inclusion of cholesterol from larger TRL. This is shown in both cohorts. CONCLUSIONS: Calculated non-HDLC is influenced by TG level. As TG increases, non-HDLC gradually includes more cholesterol from larger TRL, which are less atherogenic than LDL and remnant lipoproteins.

Postprandial Hypertriglyceridaemia Revisited in the Era of Non-Fasting Lipid Profile Testing: A 2019 Expert Panel Statement, Narrative Review.

Postprandial hypertriglyceridaemia, defined as an increase in plasma triglyceride-containing lipoproteins following a fat meal, is a potential risk predictor of atherosclerotic cardiovascular disease and other chronic diseases. Several non-modifiable factors (genetics, age, sex and menopausal status) and lifestyle factors (diet, physical activity, smoking status, obesity, alcohol and medication use) may influence postprandial hypertriglyceridaemia. This narrative review considers the studies published over the last decade that evaluated postprandial hypertriglyceridaemia. Additionally, the genetic determinants of postprandial plasma triglyceride levels, the types of meals for studying postprandial triglyceride response, and underlying conditions (e.g. familial dyslipidaemias, diabetes mellitus, metabolic syndrome, non-alcoholic fatty liver and chronic kidney disease) that are associated with postprandial hypertriglyceridaemia are reviewed; therapeutic aspects are also considered.

Postprandial Hypertriglyceridaemia Revisited in the Era of Non-Fasting Lipid Profile Testing: A 2019 Expert Panel Statement, Main Text.

Residual vascular risk exists despite the aggressive lowering of Low-Density Lipoprotein Cholesterol (LDL-C). A contributor to this residual risk may be elevated fasting, or non-fasting, levels of Triglyceride (TG)-rich lipoproteins. Therefore, there is a need to establish whethe a standardised Oral Fat Tolerance Test (OFTT) can improve atherosclerotic Cardiovascular (CV) Disease (ASCVD) risk prediction in addition to a fasting or non-fasting lipid profile. An expert panel considered the role of postprandial hypertriglyceridaemia (as represented by an OFTT) in predicting ASCVD. The panel updated its 2011 statement by considering new studies and various patient categories. The recommendations are based on expert opinion since no strict endpoint trials have been performed. Individuals with fasting TG concentration <1 mmol/L (89 mg/dL) commonly do not have an abnormal response to an OFTT. In contrast, those with fasting TG concentration ≥2 mmol/L (175 mg/dL) or nonfasting ≥2.3 mmol/L (200 mg/dL) will usually have an abnormal response. We recommend considering postprandial hypertriglyceridaemia testing when fasting TG concentrations and non-fasting TG concentrations are 1-2 mmol/L (89-175 mg/dL) and 1.3-2.3 mmol/L (115-200 mg/dL), respectively as an additional investigation for metabolic risk prediction along with other risk factors (obesity, current tobacco abuse, metabolic syndrome, hypertension, and diabetes mellitus). The panel proposes that an abnormal TG response to an OFTT (consisting of 75 g fat, 25 g carbohydrate and 10 g proteins) is >2.5 mmol/L (220 mg/dL). Postprandial hypertriglyceridaemia is an emerging factor that may contribute to residual CV risk. This possibility requires further research. A standardised OFTT will allow comparisons between investigational studies. We acknowledge that the OFTT will be mainly used for research to further clarify the role of TG in relation to CV risk. For routine practice, there is a considerable support for the use of a single non-fasting sample.

Cardiovascular and metabolic effects of metformin in patients with type 1 diabetes (REMOVAL): a double-blind, randomised, placebo-controlled trial.

BACKGROUND: Metformin might reduce insulin requirement and improve glycaemia in patients with type 1 diabetes, but whether it has cardiovascular benefits is unknown. We aimed to investigate whether metformin treatment (added to titrated insulin therapy) reduced atherosclerosis, as measured by progression of common carotid artery intima-media thickness (cIMT), in adults with type 1 diabetes at increased risk for cardiovascular disease. METHODS: REMOVAL was a double-blind, placebo-controlled trial undertaken at 23 hospital diabetes clinics in five countries (Australia, Canada, Denmark, the Netherlands, and the UK). Adults aged 40 years and older with type 1 diabetes of at least 5 years' duration and at least three of ten specific cardiovascular risk factors were randomly assigned (via an interactive voice response system) to oral metformin 1000 mg twice daily or placebo. Participants and site staff were masked to treatment allocation. The primary outcome was averaged mean far-wall cIMT, quantified annually for 3 years, analysed in a modified intention-to-treat population (all randomly assigned participants with post-randomisation data available for the outcome of interest at any given timepoint, irrespective of subsequent adherence or study participation), using repeated measures regression. Secondary outcomes were HbA1c, LDL cholesterol, estimated glomerular filtration rate (eGFR), incident microalbuminuria (not reported), incident retinopathy, bodyweight, insulin dose, and endothelial function, also analysed in all participants with post-randomisation data available for the outcome of interest at any given timepoint. This trial is registered with ClinicalTrials.gov, number NCT01483560. FINDINGS: Between Dec 14, 2011, and June 24, 2014, 493 participants entered a 3 month run-in to optimise risk factor and glycaemic control (single-blind placebo in the final month). Of 428 randomly assigned patients, 219 were allocated to metformin and 209 to placebo. Progression of mean cIMT was not significantly reduced with metformin (-0·005 mm per year, 95% CI -0·012 to 0·002; p=0·1664), although maximal cIMT (a prespecified tertiary outcome) was significantly reduced (-0·013 mm per year, -0·024 to -0·003; p=0·0093). HbA1c (mean 8·1% [SD 0·9] for metformin and 8·0% [0·8] for placebo at baseline) was reduced on average over 3 years by metformin (-0·13%, 95% CI -0·22 to -0·037; p=0·0060), but this was accounted for by a reduction at the 3-month timepoint (-0·24%, -0·34 to -0·13; p<0·0001) that was not sustained thereafter (p=0·0163 for visit-by-treatment interaction). Bodyweight (-1·17 kg, 95% CI -1·66 to -0·69; p<0·0001) and LDL cholesterol (-0·13 mmol/L, -0·24 to -0·03; p=0·0117) were reduced with metformin over 3 years of treatment, and eGFR was increased (4·0 mL/min per 1·73m2, 2·19 to 5·82; p<0·0001). Insulin requirement was not reduced on average over 3 years (-0·005 units per kg, 95% CI -0·022 to 0·012; p=0·545), but there was a significant visit-by-treatment interaction (p=0·0018). There was no effect on endothelial function as measured by reactive hyperaemia index, or on retinopathy. Discontinuation of treatment in 59 (27%) participants on metformin versus 26 (12%) on placebo (p=0·0002) was mainly due to an excess of gastrointestinal adverse effects, and there was no increase in hypoglycaemia with metformin. Five deaths occurred among patients allocated to metformin and two occurred among those allocated to placebo; none were judged by site principal investigators to be related to study medication. INTERPRETATION: These data do not support use of metformin to improve glycaemic control in adults with long-standing type 1 diabetes as suggested by current guidelines, but suggest that it might have a wider role in cardiovascular risk management. FUNDING: JDRF.

The anti-adipogenic effect of peripheral blood mononuclear cells is absent with PCSK9 loss-of-function variants.

OBJECTIVE: To determine the effect of (1) an oral fat load and (2) pro-protein convertase subtilisin/kexin type (PCSK) 9 loss-of-function (LOF) variant status on the ability of peripheral blood mononuclear cells (PBMC) to inhibit human adipogenesis. METHODS: PBMC from subjects with one or more PCSK9 LOF variants versus non-variant controls were compared in the fasting state and after an oral fat load. RESULTS: Fasting triglyceride (TG) levels were lower in the LOF variant versus non-variant group but rose to the same level after the oral fat load. Conditioned medium from PBMC was obtained in fasting (PBMC-CM-F) and 4-h postprandial (PBMC-CM-PP) states. PBMC-CM-PP from non-variant controls inhibited adipogenesis of human preadipocytes more than did PBMC-CM-F. In contrast, PBMC-CM-F or -PP from PCSK9 LOF variant subjects had no effect on adipogenesis. After the oral fat load, PBMC from PCSK9 LOF variant subjects showed significant increases in mRNA levels of interleukin-1ß, tumor necrosis factor-α, sterol regulatory element binding protein-1c, CD36, and monocyte chemoattractant protein-1 (MCP-1), only MCP-1 mRNA levels increased in PBMC from non-variant controls. CONCLUSIONS: The absence of anti-adipogenic action of PBMC from PCSK9 LOF variant subjects points to a novel role for PCSK9 in PBMC-adipose cell interactions.

The contribution of PCSK9 levels to the phenotypic severity of familial hypercholesterolemia is independent of LDL receptor genotype.

UNLABELLED: Autosomal dominant familial hypercholesterolemia (FH) is caused by genetic mutations in the LDL receptor (LDLR), its ligand apolipoprotein (apo) B, or proprotein convertase subtilisin/kexin type 9 (PCSK9). Although PCSK9 levels have been shown to correlate with LDL-cholesterol (LDL-C) levels in FH, the extent to which PCSK9 levels modulate the phenotypic severity of this disease independent of LDLR genotype remains to be clarified. OBJECTIVE: To assess the relationship between LDLR genotype and the plasma levels of PCSK9, LDL-C, and lipoprotein (a) (Lp(a)) in a large cohort of genetically defined FH heterozygotes (HeFH). METHODS: A total of 292 HeFH carrying one of the nine French-Canadian mutations in the LDLR gene were recruited. The cohort included 226 carriers of a negative-receptor (NR) mutation and 66 carriers of a defective-receptor (DR) LDLR gene mutation. Fifty-six control subjects, who were matched with the HeFH subjects based on gender and body mass index, were also recruited. RESULTS: PCSK9 levels were higher in the HeFH group than in the control group (317.9±107.1 ng/mL vs. 203.3±59.8 ng/mL; P<0.0001). The strength of the association between PCSK9 and LDL-C levels was similar among controls (r=0.37; P=0.005) and HeFH (r=0.31; P<0.0001). Furthermore, a multiple linear regression analysis revealed that the positive correlation between PCSK9 and LDL-C levels remained significant after adjusting for LDLR genotype in the HeFH group. CONCLUSION: These results suggested that the contribution of PCSK9 levels to the phenotypic severity in FH heterozygotes is independent of LDLR genotype.

Severe gestational hypertriglyceridemia: A practical approach for clinicians.

Severe gestational hypertriglyceridemia is a potentially life threatening and complex condition to manage, requiring attention to a delicate balance between maternal and fetal needs. During pregnancy, significant alterations to lipid homeostasis occur to ensure transfer of nutrients to the fetus. In women with an underlying genetic predisposition or a secondary exacerbating factor, severe gestational hypertriglyceridemia can arise, leading to devastating complications, including acute pancreatitis. Multidisciplinary care, implementation of a low-fat diet with nutritional support, and institution of a hierarchical therapeutic approach are all crucial to reduce maternal and fetal morbidity. To avoid maternal pancreatitis, close surveillance of triglycerides throughout pregnancy with elective hospitalization for refractory cases is recommended. Careful dietary planning is required to prevent neural and retinal complications from fetal essential fatty acid deficiency. Questions remain about the safety of fibrates and plasmapheresis in pregnancy as well as the optimal timing for induction and delivery of these women.

Interactions of commonly used dietary supplements with cardiovascular drugs: a systematic review.

BACKGROUND: The objective of this systematic review was to examine the benefits, harms and pharmacokinetic interactions arising from the co-administration of commonly used dietary supplements with cardiovascular drugs. Many patients on cardiovascular drugs take dietary supplements for presumed benefits and may be at risk for adverse supplement-drug interactions. METHODS: The Allied and Complementary Medicine Database, the Cochrane Library, EMBASE, International Bibliographic Information on Dietary Supplements and MEDLINE were searched from the inception of the review to October 2011. Grey literature was also reviewed.Two reviewers independently screened records to identify studies comparing a supplement plus cardiovascular drug(s) with the drug(s) alone. Reviewers extracted data using standardized forms, assessed the study risk of bias, graded the strength of evidence and reported applicability. RESULTS: Evidence was obtained from 65 randomized clinical trials, 2 controlled clinical trials and 1 observational study. With only a few small studies available per supplement, evidence was insufficient for all predefined gradable clinical efficacy and harms outcomes, such as mortality and serious adverse events. One long-term pragmatic trial showed no benefit from co-administering vitamin E with aspirin on a composite cardiovascular outcome. Evidence for most intermediate outcomes was insufficient or of low strength, suggesting no effect. Incremental benefits were noted for triglyceridemia with omega-3 fatty acid added to statins; and there was an improvement in levels of high-density lipoprotein cholesterol with garlic supplementation when people also consumed nitrates CONCLUSIONS: Evidence of low-strength indicates benefits of omega-3 fatty acids (plus statin, or calcium channel blockers and antiplatelets) and garlic (plus nitrates or warfarin) on triglycerides and HDL-C, respectively. Safety concerns, however, persist.