Dataset Information

Alcohol Consumption and Cardiac Biomarkers: The Atherosclerosis Risk in Communities (ARIC) Study.

ABSTRACT: BACKGROUND:The role of alcohol in the development of subclinical cardiovascular disease is unclear. We examined the association between alcohol consumption and markers of subclinical cardiac damage and wall stress. METHODS:We studied the cross-sectional and prospective associations of alcohol consumption with high-sensitivity cardiac troponin T (hs-cTnT) and N-terminal pro B-type natriuretic peptide (NT-proBNP) measured at 2 time points, 6 years apart (baseline, 1990-1992; follow-up, 1996-1998), in over 11000 participants of the Atherosclerosis Risk in Communities (ARIC) Study with no history of cardiovascular disease. Alcohol consumption was categorized as follows: never, former, current: ?1, 2-7, 8-14, and ?15 drinks/week. RESULTS:Compared to never drinkers, persons who consumed 2-7 drinks per week were less likely to have increased hs-cTnT (?14 ng/L) at baseline (odds ratio = 0.67, 95% CI, 0.46-0.96), and had a lower risk of incident increases in hs-cTnT at follow-up (relative risk = 0.70, 95% CI, 0.49-1.00). Conversely, there was a positive association between alcohol intake and NT-proBNP concentrations at baseline. Consumption of ?15 drinks/week was positively associated with incident increases in NT-proBNP (?300 pg/mL) at the 6-year follow-up visit (relative risk = 2.38, 95% CI, 1.43-3.96). CONCLUSIONS:In this community-based study of middle-aged adults without a history of cardiovascular disease, moderate drinking was associated with lower concentrations of hs-cTnT, a marker of chronic subclinical myocardial damage, and positively associated with NT-proBNP, a biomarker of cardiac wall stress. Our results suggest that the cardiac effects of alcohol are complex. Cardiac biomarkers may help improve our understanding of the full cardiovascular effects of alcohol consumption.

SUBMITTER: Lazo M

PROVIDER: S-EPMC5116377 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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Alcohol Consumption and Cardiac Biomarkers: The Atherosclerosis Risk in Communities (ARIC) Study.

Lazo Mariana M Chen Yuan Y McEvoy John W JW Ndumele Chiadi C Konety Suma S Ballantyne Christie M CM Sharrett A Richey AR Selvin Elizabeth E

Clinical chemistry 20160720 9

<h4>Background</h4>The role of alcohol in the development of subclinical cardiovascular disease is unclear. We examined the association between alcohol consumption and markers of subclinical cardiac damage and wall stress.<h4>Methods</h4>We studied the cross-sectional and prospective associations of alcohol consumption with high-sensitivity cardiac troponin T (hs-cTnT) and N-terminal pro B-type natriuretic peptide (NT-proBNP) measured at 2 time points, 6 years apart (baseline, 1990-1992; follow- ...[more]

PMID: 27440513

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Project description:<p>The Atherosclerosis Risk in Communities (ARIC) Study, sponsored by the National Heart, Lung and Blood Institute (NHLBI), is a prospective epidemiologic study conducted in four U.S. communities. The four communities are Forsyth County, NC; Jackson, MS; the northwest suburbs of Minneapolis, MN; and Washington County, MD. ARIC is designed to investigate the etiology and natural history of atherosclerosis, the etiology of clinical atherosclerotic diseases, and variation in cardiovascular risk factors, medical care and disease by race, gender, location, and date.</p> <p>ARIC includes two parts: the Cohort Component and the Community Surveillance Component. The Cohort Component began in 1987, and each ARIC field center randomly selected and recruited a cohort sample of approximately 4,000 individuals aged 45-64 from a defined population in their community. A total of 15,792 participants received an extensive examination, including medical, social, and demographic data. These participants were reexamined every three years with the first screen (baseline) occurring in 1987-89, the second in 1990-92, the third in 1993-95, and the fourth and last exam was in 1996-98. Follow-up occurs yearly by telephone to maintain contact with participants and to assess health status of the cohort.</p> <p>In the Community Surveillance Component, currently ongoing, these four communities are investigated to determine the community-wide occurrence of hospitalized myocardial infarction and coronary heart disease deaths in men and women aged 35-84 years. Hospitalized stroke is investigated in cohort participants only. Starting in 2006, the study conducts community surveillance of inpatient (ages 55 years and older) and outpatient heart failure (ages 65 years and older) for heart failure events beginning in 2005.</p> <p>ARIC is currently funded through January 31, 2012.</p> <p>This study is part of the Gene Environment Association Studies initiative (GENEVA, <a href="http://www.genevastudy.org" target="_blank">http://www.genevastudy.org</a>) funded by the trans-NIH Genes, Environment, and Health Initiative (GEI). The overarching goal is to identify novel genetic factors that contribute to atherosclerosis and cardiovascular disease through large-scale genome-wide association studies of well-characterized cohorts of adults in four defined populations. Genotyping was performed at the Broad Institute of MIT and Harvard, a GENEVA genotyping center. Data cleaning and harmonization were done at the GEI-funded GENEVA Coordinating Center at the University of Washington.</p>

Project description:BACKGROUND:The risk of sudden cardiac death (SCD) is known to be dynamic. However, the accuracy of a dynamic SCD prediction is unknown. We aimed to measure the dynamic predictive accuracy of ECG biomarkers of SCD and competing non-sudden cardiac death (non-SCD). METHODS:Atherosclerosis Risk In Community study participants with analyzable ECGs in sinus rhythm were included (n?=?15,716; 55% female, 73% white, age 54.2?±?5.8 y). ECGs of 5 follow-up visits were analyzed. Global electrical heterogeneity and traditional ECG metrics (heart rate, QRS, QTc) were measured. Adjudicated SCD was the primary outcome; non-SCD was the competing outcome. Time-dependent area under the receiver operating characteristic curve (ROC(t) AUC) analysis was performed to assess the prediction accuracy of a continuous biomarker in a period of 3,6,9?months, and 1,2,3,5,10, and 15?years using a survival analysis framework. Reclassification improvement as compared to clinical risk factors (age, sex, race, diabetes, hypertension, coronary heart disease, stroke) was measured. RESULTS:Over a median 24.4 y follow-up, there were 577 SCDs (incidence 1.76 (95%CI 1.63-1.91)/1000 person-years), and 829 non-SCDs [2.55 (95%CI 2.37-2.71)]. No ECG biomarkers predicted SCD within 3?months after ECG recording. Within 6?months, spatial ventricular gradient (SVG) elevation predicted SCD (AUC 0.706; 95%CI 0.526-0.886), but not a non-SCD (AUC 0.527; 95%CI 0.303-0.75). SVG elevation more accurately predicted SCD if the ECG was recorded 6?months before SCD (AUC 0.706; 95%CI 0.526-0.886) than 2?years before SCD (AUC 0.608; 95%CI 0.515-0.701). Within the first 3?months after ECG recording, only SVG azimuth improved reclassification of the risk beyond clinical risk factors: 18% of SCD events were reclassified from low or intermediate risk to a high-risk category. QRS-T angle was the strongest long-term predictor of SCD (AUC 0.710; 95%CI 0.668-0.753 for ECG recorded within 10?years before SCD). CONCLUSION:Short-term and long-term predictive accuracy of ECG biomarkers of SCD differed, reflecting differences in transient vs. persistent SCD substrates. The dynamic predictive accuracy of ECG biomarkers should be considered for competing SCD risk scores. The distinction between markers predicting short-term and long-term events may represent the difference between markers heralding SCD (triggers or transient substrates) versus markers identifying persistent substrate.

Project description:BackgroundThe aim of this study was to assess the association of high-sensitivity cardiac troponin (hs-cTnT) and other cardiac, kidney, hyperglycemia, and inflammatory biomarkers with peripheral neuropathy (PN) in a community-based population.MethodsWe conducted a cross-sectional analysis of 3056 black and white participants in the Atherosclerosis Risk in Communities (ARIC) study who underwent standardized monofilament PN testing and had measures of cardiac function (hs-cTnT, N-terminal pro-B-type natriuretic peptide [NT-proBNP], and growth differentiation factor 15 [GDF15]), kidney function (serum creatinine, cystatin C, β-2 microglobulin, urine albumin-to-creatinine ratio), hyperglycemia (fasting glucose, hemoglobin A1c [Hb A1c], fructosamine, glycated albumin, 1,5-anhydroglucitol), and inflammation (C-reactive protein) assessed at visit 6 (2016-2017; age 71-94 years). We used logistic regression to assess the associations of these biomarkers (modeled in diabetes-specific tertiles) with PN in older adults with and without diabetes after adjusting for traditional risk factors.ResultsIn total, 33.5% of participants had PN (37.3% with diabetes and 31.9% without diabetes). There was an independent association of hs-cTnT with PN regardless of diabetes status (diabetes T3 vs. T1: odds ratio [OR], 2.15 [95% CI, 1.44-3.22]; no diabetes: OR, 2.31 [95%CI, 1.76-3.03]; P = 0.72 for interaction). Among participants without diabetes, there were also significant associations of NT-proBNP (OR, 1.40 [95% CI, 1.08-1.81]) and urine albumin-to-creatinine ratio (OR, 1.55 [95% CI, 1.22-1.97]) with PN. Associations of hyperglycemia biomarkers including Hb A1c (OR, 1.76 [95% CI, 1.22-2.54]), fructosamine (OR, 1.71 [95% CI, 1.19-2.46]), and glycated albumin (OR, 1.45 [95% CI, 1.03-2.03]) with PN were significant only among participants with diabetes.ConclusionsOverall, hs-cTnT appears to be a global marker of end organ damage, including PN. Laboratory biomarkers may be able to help us identify those individuals with PN.

Dataset Information

Alcohol Consumption and Cardiac Biomarkers: The Atherosclerosis Risk in Communities (ARIC) Study.

Publications

Alcohol Consumption and Cardiac Biomarkers: The Atherosclerosis Risk in Communities (ARIC) Study.

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