11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Association of Oral Anticoagulant Type With Risk of Dementia Among Patients With Nonvalvular Atrial Fibrillation

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Oral anticoagulants ( OACs) in patients with atrial fibrillation ( AF), in addition to reducing stroke risk, could also prevent adverse cognitive outcomes. The purpose of this study was to compare the risk of dementia incidence across patients with AF initiating different OACs.

          Methods and Results

          We identified patients with nonvalvular AF initiating OACs in 2 US healthcare claim databases, MarketScan (2007–2015) and Optum Clinformatics (2009–2015). Dementia, comorbidities, and use of medications were defined on the basis of inpatient and outpatient claims. We performed head‐to‐head comparisons of warfarin, dabigatran, rivaroxaban, and apixaban in propensity score–matched cohorts. We calculated hazard ratios ( HRs) and 95% confidence intervals ( CIs) of incident dementia for each propensity score–matched cohort and meta‐analyzed database‐specific results. We analyzed 307 099 patients with AF from the MarketScan database and 161 346 from the Optum database, of which 6572 and 4391, respectively, had a diagnosis of incident dementia. The mean follow‐up of each cohort ranged between 0.7 and 2.2 years. Patients initiating direct OACs experienced lower rates of dementia than those initiating warfarin (dabigatran: HR, 0.85; 95% CI, 0.71–1.01; rivaroxaban: HR, 0.85; 95% CI, 0.76–0.94; apixaban: HR, 0.80; 95% CI, 0.65–0.97). There were no differences in rates of dementia comparing direct OAC user groups (dabigatran versus rivaroxaban: HR, 1.02; 95% CI, 0.79–1.32; dabigatran versus apixaban: HR, 0.92; 95% CI, 0.63–1.36; apixaban versus rivaroxaban: HR, 1.01; 95% CI, 0.86–1.19).

          Conclusions

          Patients with AF initiating direct OACs experienced lower rates of incident dementia than warfarin users. No obvious benefit was observed for any particular direct OAC in relation to dementia rates.

          Related collections

          Most cited references17

          • Record: found
          • Abstract: found
          • Article: not found

          Atrial Fibrillation: Epidemiology, Pathophysiology, and Clinical Outcomes.

          The past 3 decades have been characterized by an exponential growth in knowledge and advances in the clinical treatment of atrial fibrillation (AF). It is now known that AF genesis requires a vulnerable atrial substrate and that the formation and composition of this substrate may vary depending on comorbid conditions, genetics, sex, and other factors. Population-based studies have identified numerous factors that modify the atrial substrate and increase AF susceptibility. To date, genetic studies have reported 17 independent signals for AF at 14 genomic regions. Studies have established that advanced age, male sex, and European ancestry are prominent AF risk factors. Other modifiable risk factors include sedentary lifestyle, smoking, obesity, diabetes mellitus, obstructive sleep apnea, and elevated blood pressure predispose to AF, and each factor has been shown to induce structural and electric remodeling of the atria. Both heart failure and myocardial infarction increase risk of AF and vice versa creating a feed-forward loop that increases mortality. Other cardiovascular outcomes attributed to AF, including stroke and thromboembolism, are well established, and epidemiology studies have championed therapeutics that mitigate these adverse outcomes. However, the role of anticoagulation for preventing dementia attributed to AF is less established. Our review is a comprehensive examination of the epidemiological data associating unmodifiable and modifiable risk factors for AF and of the pathophysiological evidence supporting the mechanistic link between each risk factor and AF genesis. Our review also critically examines the epidemiological data on clinical outcomes attributed to AF and summarizes current evidence linking each outcome with AF.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            A comparison of 12 algorithms for matching on the propensity score

            Propensity-score matching is increasingly being used to reduce the confounding that can occur in observational studies examining the effects of treatments or interventions on outcomes. We used Monte Carlo simulations to examine the following algorithms for forming matched pairs of treated and untreated subjects: optimal matching, greedy nearest neighbor matching without replacement, and greedy nearest neighbor matching without replacement within specified caliper widths. For each of the latter two algorithms, we examined four different sub-algorithms defined by the order in which treated subjects were selected for matching to an untreated subject: lowest to highest propensity score, highest to lowest propensity score, best match first, and random order. We also examined matching with replacement. We found that (i) nearest neighbor matching induced the same balance in baseline covariates as did optimal matching; (ii) when at least some of the covariates were continuous, caliper matching tended to induce balance on baseline covariates that was at least as good as the other algorithms; (iii) caliper matching tended to result in estimates of treatment effect with less bias compared with optimal and nearest neighbor matching; (iv) optimal and nearest neighbor matching resulted in estimates of treatment effect with negligibly less variability than did caliper matching; (v) caliper matching had amongst the best performance when assessed using mean squared error; (vi) the order in which treated subjects were selected for matching had at most a modest effect on estimation; and (vii) matching with replacement did not have superior performance compared with caliper matching without replacement. © 2013 The Authors. Statistics in Medicine published by John Wiley & Sons, Ltd.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A systematic review of validated methods for identifying atrial fibrillation using administrative data.

              The objectives of this study were to characterize the validity of algorithms to identify AF from electronic health data through a systematic review of the literature and to identify gaps needing further research. Two reviewers examined publications during 1997-2008 that identified patients with atrial fibrillation (AF) from electronic health data and provided validation information. We abstracted information including algorithm sensitivity, specificity, and positive predictive value (PPV). We reviewed 544 abstracts and 281 full-text articles, of which 18 provided validation information from 16 unique studies. Most used data from before 2000, and 10 of 16 used only inpatient data. Three studies incorporated electronic ECG data for case identification or validation. A large proportion of prevalent AF cases identified by ICD-9 code 427.31 were valid (PPV 70%-96%, median 89%). Seven studies reported algorithm sensitivity (range, 57%-95%, median 79%). One study validated an algorithm for incident AF and reported a PPV of 77%. The ICD-9 code 427.31 performed relatively well, but conclusions about algorithm validity are hindered by few recent data, use of nonrepresentative populations, and a disproportionate focus on inpatient data. An optimal contemporary algorithm would likely draw on inpatient and outpatient codes and electronic ECG data. Additional research is needed in representative, contemporary populations regarding algorithms that identify incident AF and incorporate electronic ECG data. Copyright © 2012 John Wiley & Sons, Ltd.
                Bookmark

                Author and article information

                Contributors
                alvaro.alonso@emory.edu
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                02 November 2018
                06 November 2018
                : 7
                : 21 ( doiID: 10.1002/jah3.2018.7.issue-21 )
                : e009561
                Affiliations
                [ 1 ] Department of Epidemiology Rollins School of Public Health Emory University Atlanta GA
                [ 2 ] Division of Epidemiology and Community Health School of Public Health University of Minnesota Minneapolis MN
                [ 3 ] Department of Health Sciences Research Mayo Clinic Rochester MN
                [ 4 ] Health Economics and Outcomes Research Life Sciences Optum Eden Prairie MN
                [ 5 ] Division of Cardiology Department of Medicine Emory University School of Medicine Atlanta GA
                [ 6 ] Cardiovascular Division Department of Medicine University of Minnesota Medical School Minneapolis MN
                Author notes
                [*] [* ] Correspondence to: Alvaro Alonso, MD, PhD, Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, Atlanta, GA 30322. E‐mail: alvaro.alonso@ 123456emory.edu
                Article
                JAH33657
                10.1161/JAHA.118.009561
                6404188
                30571385
                89d7ef55-d340-4dfd-a903-9cef5278036f
                © 2018 The Authors and Mayo Clinic. Published on behalf of the American Heart Association, Inc., by Wiley.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 23 April 2018
                : 04 October 2018
                Page count
                Figures: 1, Tables: 4, Pages: 11, Words: 8258
                Funding
                Funded by: National Heart, Lung, and Blood Institute of the National Institutes of Health
                Award ID: F32HL134290
                Award ID: R01HL122200
                Award ID: R01HL131579
                Funded by: National Institute on Aging of the National Institutes of Health
                Award ID: R21AG058445
                Funded by: American Heart Association
                Award ID: 16EIA26410001
                Categories
                Original Research
                Original Research
                Arrhythmia and Electrophysiology
                Custom metadata
                2.0
                jah33657
                06 November 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.5.4 mode:remove_FC converted:13.12.2018

                Cardiovascular Medicine
                atrial fibrillation,dementia,direct oral anticoagulant,warfarin
                Cardiovascular Medicine
                atrial fibrillation, dementia, direct oral anticoagulant, warfarin

                Comments

                Comment on this article