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Large-scale plasma lipidomic profiling identifies lipids that predict cardiovascular events in secondary prevention.

ABSTRACT: BACKGROUND:Plasma lipidomic measures may enable improved prediction of cardiovascular outcomes in secondary prevention. The aim of this study is to determine the association of plasma lipidomic measurements with cardiovascular events and assess their potential to predict such events. METHODS:Plasma lipids (n = 342) were measured in a retrospective subcohort (n = 5,991) of the LIPID study. Proportional hazards regression was used to identify lipids associated with future cardiovascular events (nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death) and cardiovascular death. Multivariable models adding lipid species to traditional risk factors were created using lipid ranking established from the Akaike information criterion within a 5-fold cross-validation framework. The results were tested on a diabetic case cohort from the ADVANCE study (n = 3,779). RESULTS:Specific ceramide species, sphingolipids, phospholipids, and neutral lipids containing omega-6 fatty acids or odd-chain fatty acids were associated with future cardiovascular events (106 species) and cardiovascular death (139 species). The addition of 7 lipid species to a base model (11 conventional risk factors) resulted in an increase in the C-statistics from 0.629 (95% CI, 0.628-0.630) to 0.654 (95% CI, 0.653-0.656) for prediction of cardiovascular events and from 0.673 (95% CI, 0.671-0.675) to 0.727 (95% CI, 0.725-0.728) for prediction of cardiovascular death. Categorical net reclassification improvements for cardiovascular events and cardiovascular death were 0.083 (95% CI, 0.081-0.086) and 0.166 (95% CI, 0.162-0.170), respectively. Evaluation on the ADVANCE case cohort demonstrated significant improvement on the base models. CONCLUSIONS:The improvement in the prediction of cardiovascular outcomes, above conventional risk factors, demonstrates the potential of plasma lipidomic profiles as biomarkers for cardiovascular risk stratification in secondary prevention. FUNDING:Bristol-Myers Squibb, the National Health and Medical Research Council of Australia (grants 211086, 358395, and 1029754), and the Operational Infrastructure Support Program of the Victorian government of Australia.

SUBMITTER: Mundra PA

PROVIDER: S-EPMC6171797 | biostudies-other | 2018 Sep

REPOSITORIES: biostudies-other

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Large-scale plasma lipidomic profiling identifies lipids that predict cardiovascular events in secondary prevention.

Mundra Piyushkumar A PA Barlow Christopher K CK Nestel Paul J PJ Barnes Elizabeth H EH Kirby Adrienne A Thompson Peter P Sullivan David R DR Alshehry Zahir H ZH Mellett Natalie A NA Huynh Kevin K Jayawardana Kaushala S KS Giles Corey C McConville Malcolm J MJ Zoungas Sophia S Hillis Graham S GS Chalmers John J Woodward Mark M Wong Gerard G Kingwell Bronwyn A BA Simes John J Tonkin Andrew M AM Meikle Peter J PJ

JCI insight 20180906 17

<h4>Background</h4>Plasma lipidomic measures may enable improved prediction of cardiovascular outcomes in secondary prevention. The aim of this study is to determine the association of plasma lipidomic measurements with cardiovascular events and assess their potential to predict such events.<h4>Methods</h4>Plasma lipids (n = 342) were measured in a retrospective subcohort (n = 5,991) of the LIPID study. Proportional hazards regression was used to identify lipids associated with future cardiovasc ...[more]

PMID: 30185661

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Project description:BackgroundInfluenza is a common respiratory infection that may cause complications, including cardiovascular events. Influenza illness has been shown to double the risk of myocardial infarction, with the highest risk among patients with established cardiovascular disease. Vaccination against influenza has been associated with reductions in myocardial infarction, cerebrovascular disease, and death.ObjectiveTo evaluate the evidence for influenza vaccination as a strategy to reduce cardiovascular events specifically in patients with established cardiovascular disease.Data sources and study selectionMEDLINE, Embase, and the Cochrane Central Register of Controlled Trials were searched with the terms "influenza vaccine" and "cardiovascular disease". Included in this review were randomized controlled trials (RCTs), nonrandomized studies, and meta-analyses that compared influenza vaccination against control in patients with established cardiovascular disease and that reported clinically meaningful cardiovascular outcomes (defined as cardiovascular death, myocardial infarction, and stroke).Data extraction and synthesisThe search yielded 10 studies (3 nonrandomized studies, 5 RCTs, and 2 meta-analyses). The nonrandomized studies and the RCTs had inconsistent results with respect to cardiovascular death and adverse cardiovascular events. The 2 meta-analyses, which included the same 4 RCTs involving patients with established cardiovascular disease, showed that the influenza vaccine reduced cardiovascular death by about 50% relative to control. Vaccination also reduced major cardiovascular events by about 43%; the reduction was greater (54%) in the subgroup of patients with recent (≤ 1 year) acute coronary syndrome. However, these data are potentially confounded by small sample sizes, low event rates, and variable outcome reporting. There was also high clinical heterogeneity among the studies, which may not reflect contemporary practice.ConclusionsGiven the limitations of these data, it is unclear whether the cardiovascular benefit with influenza vaccination in patients with cardiovascular disease is a true effect. Nevertheless, because of the potential benefit and the low risk of adverse events, the annual influenza vaccine should be recommended for all patients with established cardiovascular disease.

Project description:BACKGROUND:Canagliflozin is a sodium glucose cotransporter 2 inhibitor that significantly reduces the composite of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke in patients with type 2 diabetes mellitus and elevated cardiovascular risk. The comparative effects among participants with and without a history of cardiovascular disease (secondary versus primary prevention) were prespecified for evaluation. METHODS:The CANVAS Program (Canagliflozin Cardiovascular Assessment Study) randomly assigned 10?142 participants with type 2 diabetes mellitus to canagliflozin or placebo. The primary prevention cohort comprised individuals ?50 years of age with ?2 risk factors for cardiovascular events but with no prior cardiovascular event, and the secondary prevention cohort comprised individuals ?30 years of age with a prior cardiovascular event. The primary end point was a composite of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke. Secondary outcomes included heart failure hospitalization and a renal composite (40% reduction in estimated glomerular filtration rate, renal replacement therapy, or renal death). RESULTS:Primary prevention participants (N=3486; 34%) were younger (63 versus 64 years of age), were more often female (45% versus 31%), and had a longer duration of diabetes mellitus (14 versus 13 years) compared with secondary prevention participants (N=6656; 66%). The primary end point event rate was higher in the secondary prevention group compared with the primary prevention group (36.9 versus 15.7/1000 patient-years, P<0.001). In the total cohort, the primary end point was reduced with canagliflozin compared with placebo (26.9 versus 31.5/1000 patient-years; hazard ratio [HR], 0.86; 95% confidence interval [CI], 0.75-0.97; P<0.001 for noninferiority, P=0.02 for superiority) with no statistical evidence of heterogeneity (interaction P value=0.18) between the primary (HR, 0.98; 95% CI, 0.74-1.30) and secondary prevention (HR, 0.82; 95% CI, 0.72-0.95) cohorts. Renal outcomes (HR, 0.59; 95% CI, 0.44-0.79 versus HR, 0.63; 95% CI, 0.39-1.02; interaction P value=0.73) and heart failure hospitalization (HR, 0.68; 95% CI, 0.51-0.90 versus HR, 0.64; 95% CI, 0.35-1.15; interaction P value=0.91) were similarly reduced in the secondary and primary prevention cohorts, respectively. Lower extremity amputations were similarly increased in the secondary and primary prevention cohorts (HR, 2.07; 95% CI, 1.43-3.00 versus HR, 1.52; 95% CI, 0.70-3.29; interaction P value=0.63). CONCLUSIONS:Patients with type 2 diabetes mellitus and prior cardiovascular events had higher rates of cardiovascular outcomes compared with the primary prevention patients. Canagliflozin reduced cardiovascular and renal outcomes with no statistical evidence of heterogeneity of the treatment effect across the primary and secondary prevention groups. Additional studies will provide further insights into the effects of canagliflozin in these patient populations. CLINICAL TRIAL REGISTRATION:URL: https://www.clinicaltrials.gov. Unique identifiers: NCT01032629 and NCT01989754.

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Large-scale plasma lipidomic profiling identifies lipids that predict cardiovascular events in secondary prevention.

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Large-scale plasma lipidomic profiling identifies lipids that predict cardiovascular events in secondary prevention.

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