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      Association of Plasma Phospholipid Long-Chain Omega-3 Fatty Acids With Incident Atrial Fibrillation in Older Adults : The Cardiovascular Health Study

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          Abstract

          Experimental studies suggest that long-chain n-3 polyunsaturated fatty acids (n-3 PUFAs) may reduce the risk of atrial fibrillation (AF). Prior studies evaluating fish or n-3 PUFA consumption from dietary questionnaires and incident AF have been conflicting. Circulating levels of n-3 PUFAs provide an objective measurement of exposure. Among 3326 US men and women ≥65 years of age and free of AF or heart failure at baseline, plasma phospholipid levels of eicosapentaenoic acid, docosapentaenoic acid, and docosahexaenoic acid were measured at baseline by use of standardized methods. Incident AF (789 cases) was identified prospectively from hospital discharge records and study visit ECGs during 31 169 person-years of follow-up (1992-2006). In multivariable Cox models adjusted for other risk factors, the relative risk in the top versus lowest quartile of total n-3 PUFAs (eicosapentaenoic acid+docosapentaenoic acid+docosahexaenoic acid) levels was 0.71 (95% confidence interval, 0.57-0.89; P for trend=0.004) and of DHA levels was 0.77 (95% confidence interval, 0.62-0.96; P for trend=0.01). Eicosapentaenoic acid and docosapentaenoic acid levels were not significantly associated with incident AF. Evaluated nonparametrically, both total n-3 PUFAs and docosahexaenoic acid showed graded and linear inverse associations with incidence of AF. Adjustment for intervening events such as heart failure or myocardial infarction during follow-up did not appreciably alter results. In older adults, higher circulating total long-chain n-3 PUFA and docosahexaenoic acid levels were associated with lower risk of incident AF. These results highlight the need to evaluate whether increased dietary intake of these fatty acids could be effective for the primary prevention of AF.

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          Most cited references44

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          Increasing prevalence of atrial fibrillation and flutter in the United States.

          The prevalence data for atrial fibrillation (AF) are dated. The present retrospective study estimated the current and projected prevalence of AF and atrial flutter (AFL) in the United States using a large national database. Claims data drawn from July 2004 to December 2005 from the MarketScan research databases from Thomson Reuters were used to identify patients aged >or=20 years with nontransient AF and/or AFL and age- and gender-matched controls without these conditions. Of the 21,648,681 patients in the databases, 242,903 (1.12%) had nontransient AF and/or AFL (222,605 AF only, 5,376 AFL only, and 14,922 AF and AFL). Patients with AF only, AFL only, and AF and AFL had a greater (p <0.001) prevalence of co-morbidities, including hypertension (62.0%, 61.3%, and 57.0%, respectively) and coronary artery disease (43.0%, 44.7%, and 44.5%, respectively), than matched controls (45.1% hypertension and 19.4% coronary artery disease). Applying the US Census Bureau population estimates to the prevalence rates for AF and/or AFL in the databases, it was estimated that 3.03 million persons in the United States had AF only, 0.07 million had AFL only, and 0.19 million had AF and AFL in 2005. The projected prevalence for 2050 was 7.56 million for AF only, 0.15 million for AFL only, and 0.44 million for AF and AFL. In conclusion, the current prevalence of AF and AFL is high and is projected to increase considerably by 2050. The current and projected increases in the prevalence of AF are greater than predicted by a previous sentinel study and might reflect more than the aging of the population.
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            Imputation of missing values is superior to complete case analysis and the missing-indicator method in multivariable diagnostic research: a clinical example.

            To illustrate the effects of different methods for handling missing data--complete case analysis, missing-indicator method, single imputation of unconditional and conditional mean, and multiple imputation (MI)--in the context of multivariable diagnostic research aiming to identify potential predictors (test results) that independently contribute to the prediction of disease presence or absence. We used data from 398 subjects from a prospective study on the diagnosis of pulmonary embolism. Various diagnostic predictors or tests had (varying percentages of) missing values. Per method of handling these missing values, we fitted a diagnostic prediction model using multivariable logistic regression analysis. The receiver operating characteristic curve area for all diagnostic models was above 0.75. The predictors in the final models based on the complete case analysis, and after using the missing-indicator method, were very different compared to the other models. The models based on MI did not differ much from the models derived after using single conditional and unconditional mean imputation. In multivariable diagnostic research complete case analysis and the use of the missing-indicator method should be avoided, even when data are missing completely at random. MI methods are known to be superior to single imputation methods. For our example study, the single imputation methods performed equally well, but this was most likely because of the low overall number of missing values.
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              Epidemiology and natural history of atrial fibrillation: clinical implications.

              With a substantial impact on morbidity and mortality, the growing "epidemic" of atrial fibrillation (AF) intersects with a number of conditions, including aging, thromboembolism, hemorrhage, hypertension and left ventricular dysfunction. Currently, the epidemiology and natural history of AF govern all aspects of its clinical management. The ongoing global investigative efforts toward understanding AF are also driven by epidemiologic findings. New developments, by affecting the natural history of the disease, could eventually alter the nature of decision making in patients with AF. The crucial issue of rate versus rhythm control awaits completion of the AF Follow-up Investigation of Rhythm Management trial. The processes of electrical and structural remodeling that perpetuate AF appear to be reversible. In the era of functional genomics, the molecular basis of this ubiquitous arrhythmia is in the process of being defined. Unraveling the molecular genetics of AF might provide new insights into the structural and electrical phenotypes resulting from genetic mutations and, as such, new approaches to treatment of this arrhythmia at the ion channel and cellular levels. Thus, current adverse trends are superimposed on a background of a rapidly developing knowledge base and potentially exciting new therapeutic options. Consequently, an understanding of the epidemiology and natural history of AF is crucial to the future allocation of resources and the utilization of an expanding range of therapies aimed at reducing the impact of this disease on a changing patient population.
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                Author and article information

                Journal
                Circulation
                Circulation
                Ovid Technologies (Wolters Kluwer Health)
                0009-7322
                1524-4539
                March 06 2012
                March 06 2012
                : 125
                : 9
                : 1084-1093
                Affiliations
                [1 ]From the Departments of Epidemiology (J.H.Y.W., F.M.S., E.B.R., D.M.) and Nutrition (F.M.S., E.B.R., D.M.), Harvard School of Public Health, Boston, MA; School of Medicine and Pharmacology, University of Western Australia, Perth, Australia (J.H.Y.W.); Cardiovascular Health Research Unit, Department of Medicine (R.N.L., D.S.S.) and Department of Epidemiology (S.R.H., D.S.S.), University of Washington, Seattle; Department of Internal Medicine, University of New Mexico, Albuquerque (I.B.K.); Public...
                Article
                10.1161/CIRCULATIONAHA.111.062653
                3302663
                22282329
                a87a9778-c552-43d0-9d6b-29ba1ea8f216
                © 2012
                History

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