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6.
Eur Heart J ; 42(12): 1157-1159, 2021 03 21.
Article in English | MEDLINE | ID: mdl-33480988

Subject(s)
Light , Lipoprotein(a) , Humans
7.
Curr Opin Endocrinol Diabetes Obes ; 28(2): 97-103, 2021 04 01.
Article in English | MEDLINE | ID: mdl-33481424

ABSTRACT

PURPOSE OF REVIEW: Nonfasting lipid testing has been introduced into several guidelines over the past decade or so however, the uptake into clinical practice has not been universal. This review highlights some of the prevalent reasons for provider reluctance to use nonfasting testing and the evidence to support nonfasting testing for routine screening in most patients. RECENT FINDINGS: Several studies have found nonfasting lipids to be as, or more, strongly associated with cardiovascular disease (CVD) risk prediction. In particular, nonfasting tests improve system efficiency, are safe for patients with diabetes, the elderly, children, and in the vast majority of patients, do not need to be followed up with fasting studies due to severe hypertriglyceridemia. SUMMARY: Nonfasting lipids are a convenient first test for screening that offers equivalent, if not improved CVD risk prediction. Common misconceptions about nonfasting tests are not supported by the evidence.


Subject(s)
Dyslipidemias , Hyperlipidemias , Hypertriglyceridemia , Aged , Child , Dyslipidemias/diagnosis , Fasting , Humans , Lipids
9.
J Am Heart Assoc ; 9(17): e016507, 2020 09.
Article in English | MEDLINE | ID: mdl-32799709

ABSTRACT

Background High-density lipoprotein (HDL) cholesterol has inverse association with cardiovascular disease. HDL possesses anti-inflammatory properties in vitro, but it is unknown whether this may be protective in individuals with inflammation. Methods and Results The functional capacity of HDL to inhibit oxidation of oxidized low-density lipoprotein (ie, the HDL inflammatory index; HII) was measured at baseline and 12 months after random allocation to rosuvastatin or placebo in a nested case-control study of the JUPITER (Justification for the Use of Statins in Prevention: An Intervention Evaluating Rosuvastatin) trial. There were 517 incident cases of cardiovascular disease and all-cause mortality compared to 517 age- and sex-matched controls. Multivariable conditional logistic regression was used to examine associations of HII with events. Median baseline HII was 0.54 (interquartile range, 0.50-0.59). Twelve months of rosuvastatin decreased HII by a mean of 5.3% (95% CI, -8.9% to -1.7%; P=0.005) versus 1.3% (95% CI, -6.5% to 4.0%; P=0.63) with placebo (P=0.22 for between-group difference). HII had a nonlinear relationship with incident events. Compared with the reference group (HII 0.5-1.0) with the lowest event rates, participants with baseline HII ≤0.5 had significantly increased risk of cardiovascular disease/mortality (adjusted hazard ratio, 1.53; 95% CI, 1.06-2.21; P=0.02). Furthermore, there was significant (P=0.002) interaction for HDL particle number with HII, such that having more HDL particles was associated with decreased risk only when HDL was anti-inflammatory. Conclusions In JUPITER participants recruited on the basis of chronic inflammation, HII was associated with incident cardiovascular disease/mortality, with an optimal anti-inflammatory HII range between 0.5 and 1.0. This nonlinear relationship of anti-inflammatory HDL function with risk may account in part for the HDL paradox. Registration URL: https://www.clini​caltr​ials.gov; Unique identifier: NCT00239681.


Subject(s)
Cardiovascular Diseases/drug therapy , Cardiovascular Diseases/mortality , Cholesterol, HDL/blood , Lipoproteins, LDL/drug effects , Aged , Anti-Inflammatory Agents/pharmacology , Cardiovascular Diseases/blood , Case-Control Studies , Cholesterol, HDL/pharmacology , Female , Humans , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Lipoproteins, LDL/blood , Male , Middle Aged , Placebos/administration & dosage , Risk Factors , Rosuvastatin Calcium/therapeutic use
10.
J Clin Lipidol ; 14(2): 241-251, 2020.
Article in English | MEDLINE | ID: mdl-32205068

ABSTRACT

BACKGROUND: Elevated postprandial triglycerides reflect a proatherogenic milieu, but underlying mechanisms are unclear. OBJECTIVE: We examined differences between fasting and nonfasting profiles of directly measured lipoprotein size and subfractions to assess if postprandial triglycerides reflected increases in very low density lipoprotein (VLDL), intermediate density lipoprotein (IDL) and remnants, or small dense lipid depleted LDL (sdLDL) particles. METHODS: We conducted a cross-sectional analysis of 15,397 participants (10,135 fasting; 5262 nonfasting [<8 hours since last meal]) from the VITamin D and OmegA-3 TriaL. Baseline cholesterol subfractions were measured by the vertical auto profile method and particle subfractions by ion mobility. We performed multivariable linear regression adjusting for cardiovascular and lipoprotein-modifying risk factors. RESULTS: Mean age (SD) was 68.0 years (±7.0), with 50.9% women. Adjusted mean triglyceride concentrations were higher nonfasting by 17.8 ± 1.3%, with higher nonfasting levels of directly measured VLDL cholesterol (by 3.5 ± 0.6%) and total VLDL particles (by 2.0 ± 0.7%), specifically large VLDL (by 12.3 ± 1.3%) and medium VLDL particles (by 5.3 ± 0.8%), all P < .001. By contrast, lower concentrations of low density lipoprotein (LDL) and IDL cholesterol and particles were noted for nonfasting participants. sdLDL cholesterol levels and particle concentrations showed no statistically significant difference by fasting status (-1.3 ± 2.1% and 0.07 ± 0.6%, respectively, P > .05). CONCLUSIONS: Directly measured particle and cholesterol concentrations of VLDL, not sdLDL, were higher nonfasting and may partly contribute to the proatherogenicity of postprandial hypertriglyceridemia. These differences, although statistically significant, were small and may not fully explain the increased risk of postprandial hypertriglyceridemia.


Subject(s)
Clinical Trials as Topic , Fasting/blood , Healthy Volunteers , Lipoproteins/blood , Lipoproteins/chemistry , Aged , Cross-Sectional Studies , Female , Humans , Male , Molecular Weight , Postprandial Period
11.
Angiology ; 71(1): 17-26, 2020 Jan.
Article in English | MEDLINE | ID: mdl-31129986

ABSTRACT

The Middle East and North Africa (MENA) region has a high burden of morbidity and mortality due to premature (≤55 years in men; ≤65 years in women) myocardial infarction (MI) and acute coronary syndrome (ACS). Despite this, the prevalence of risk factors in patients presenting with premature MI or ACS is incompletely described. We compared lifestyle, clinical risk factors, and biomarkers associated with premature MI/ACS in the MENA region with selected non-MENA high-income countries. We identified English-language, peer-reviewed publications through PubMed (up to March 2018). We used the World Bank classification system to categorize countries. Patients with premature MI/ACS in the MENA region had a higher prevalence of smoking than older patients with MI/ACS but a lower prevalence of diabetes, hypertension, and dyslipidemia. Men with premature MI/ACS had a higher prevalence of smoking than women but a lower prevalence of diabetes and hypertension. The MENA region had sparse data on lifestyle, diet, psychological stress, and physical activity. To address these knowledge gaps, we initiated the ongoing Gulf Population Risks and Epidemiology of Vascular Events and Treatment (Gulf PREVENT) case-control study to improve primary and secondary prevention of premature MI in the United Arab Emirates, a high-income country in the MENA region.


Subject(s)
Acute Coronary Syndrome/epidemiology , Myocardial Infarction/epidemiology , Acute Coronary Syndrome/mortality , Acute Coronary Syndrome/prevention & control , Africa, Northern/epidemiology , Age of Onset , Aged , Case-Control Studies , Comorbidity , Diabetes Mellitus/epidemiology , Dyslipidemias/epidemiology , Female , Humans , Hypertension/epidemiology , Male , Middle Aged , Middle East/epidemiology , Mortality, Premature , Myocardial Infarction/mortality , Myocardial Infarction/prevention & control , Prevalence , Primary Prevention , Prognosis , Research Design , Risk Factors , Secondary Prevention , Sex Factors , Smoking/adverse effects , Smoking/epidemiology
15.
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