Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Atrial fibrillation is independently associated with senile, vascular, and Alzheimer’s dementia T. Jared Bunch, MD,*† J. Peter Weiss, MD,*† Brian G. Crandall, MD,*† Heidi T. May, PhD, MSPH,† Tami L. Bair, RN,† Jeffrey S. Osborn, MD,*† Jeffrey L. Anderson, MD,† Joseph B. Muhlestein, MD,† Benjamin D. Horne, PhD, MSPH,† Donald L. Lappe, MD,† John D. Day, MD, FHRS*† From the *Intermountain Heart Rhythm Specialists, Intermountain Medical Center, Murray, Utah; †Department of Cardiology, Intermountain Medical Center, Murray, Utah. BACKGROUND The aging population has resulted in more patients living with cardiovascular disease, such as atrial fibrillation (AF). Recent focus has been placed on understanding the longterm consequences of chronic cardiovascular disease, such as a potential increased risk of dementia. OBJECTIVE This study sought to determine whether there is an association between AF and dementia and whether their coexistence is an independent marker of risk. METHODS A total of 37,025 consecutive patients from the large ongoing prospective Intermountain Heart Collaborative Study database were evaluated and followed up for a mean of 5 years for the development of AF and dementia. Dementia was sub-typed into vascular (VD), senile (SD), Alzheimer’s (AD), and nonspecified (ND). RESULTS Of the 37,025 patients with a mean age of 60.6 ⫾ 17.9 years, 10,161 (27%) developed AF and 1,535 (4.1%) developed dementia (179 VD, 321 SD, 347 AD, 688 ND) during the 5-year follow-up. Patients with dementia were older and had higher rates of hypertension, coronary artery disease, renal failure, heart fail- Dementia is a disorder that is characterized by impairment of memory and at least one additional cognitive domain. The consequences of dementia must represent a decline from the previous level of function and impact quality of life and daily function. Because of an aging population, dementia is an increasing problem as it primarily affects elderly patients. Alzheimer’s disease (AD) is the most common form of dementia in the elderly, accounting for 60% to 80% of cases, followed by vascular dementia (VD), which accounts for 10% to 20%.1,2 Dementia in general tends to increase with increasing age,3–5 diabetes,6 –10 hyperten- Drs. Bunch, Weiss, Crandall, and Osborn have received speaker’s honorarium (minor) from Boston Scientific. Dr. Day is a consultant (minor) for Boston Scientific and St. Jude Medical. Address reprint requests and correspondence: Dr. T. Jared Bunch, Intermountain Heart Rhythm Specialists, Intermountain Medical Center, Eccles Outpatient Care Center, 5169 Cottonwood Street, Suite 510, Murray, Utah 84107. E-mail address: [email protected]. (Received September 3, 2009; accepted December 3, 2009.) ure, and prior strokes. In age-based analysis, AF independently was significantly associated with all dementia types. The highest risk was in the younger group (⬍70). After dementia diagnosis, the presence of AF was associated with a marked increased risk of mortality (VD: hazard ratio [HR] ⫽ 1.38, P ⫽ .01; SD: HR ⫽ 1.41, P ⫽ .001; AD: HR ⫽ 1.45; ND: HR ⫽ 1.38, P ⬍.0001). CONCLUSION AF was independently associated with all forms of dementia. Although dementia is strongly associated with aging, the highest risk of AD was in the younger group, in support of the observed association. The presence of AF also identified dementia patients at high risk of death. KEYWORDS Atrial fibrillation; Dementia; Alzheimer’s; Hypertension; Aging; Stroke ABBREVIATIONS AD ⫽ Alzheimer’s disease; AF ⫽ atrial fibrillation; HR ⫽ hazard ratio; ICD ⫽ International Classification of Diseases; ND ⫽ nonspecified dementia; SD ⫽ senile dementia; VD ⫽ vascular dementia (Heart Rhythm 2010;7:433– 437) © 2010 Heart Rhythm Society. All rights reserved. sion,6,10 –13 smoking history,14 and systemic inflammation.15,16 Atrial fibrillation (AF) is the most common arrhythmia encountered in clinical practice, and similar to dementia, its prevalence increases with age. It is a significant risk factor for thromboembolic stroke, and affects up to 9% of the population by age 80.17,18 It also independently increases total mortality in patients with and without cardiovascular disease.19 Hypertensive heart disease and coronary heart disease are the most common underlying disorders in patients with AF in developed countries.20,21 Similar to the association with dementia, the risk of AF increases with age,21 diabetes,22 hypertension,21 and increases in systemic inflammation.23,24 Recent data have emerged to show an association between AF and AD progression.13 This observation is not surprising because the disease states of dementia and AF share similar background risk factors. Furthermore, AF has been independently linked to memory impairment, cognitive decline, and general dementia in patients without pre- 1547-5271/$ -see front matter © 2010 Heart Rhythm Society. All rights reserved. doi:10.1016/j.hrthm.2009.12.004 434 existing disease.25–27 Nonetheless, more studies are required to verify and confirm the independent risk of AD in AF patients. In addition, it is unclear whether those patients with AF and dementia represent a high-risk group for longterm adverse outcomes. To understand the independent risk of AF and dementia and their combined long-term outcomes, we studied the association in a large patient population with comparison of results across multiple age strata. The primary objective was to confirm the independent risk of AF and AD. The secondary objective was to determine the impact of AF in those subsequently diagnosed with AD and other dementia types on risk of mortality. Methods We examined the Intermountain Heart Collaborative Study database to examine an association of AF and dementia.28 This database includes all patients who receive care within the Intermountain Healthcare system and were seen by cardiologists with consent to participate in research. The population studied as noted in the prior publications is predominantly white (89%), with other races as follows: Hispanic 7%, Polynesian/Asian 1%, black 2%, and Native American 1%. We studied 37,026 consecutive patients who had a mean of 5 years of follow-up. Patients with preexisting dementia or AF were excluded. Extracted clinical variables were based on inpatient and outpatient clinical visits and included age, hypertension, diabetes, hyperlipidemia, renal failure, smoking history, prior myocardial infarction or cerebral vascular accident, and heart failure. Included in the extracted data was use of medications (3hydroxy-3-methylglutaryl coenzyme A reductase inhibitors [statins], angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, beta-blockers, and diuretics). In 20,471 patients, an ejection fraction was available through search of the echocardiogram database. Patients’ AF status was determined by searching the hospital discharge summary for diagnostic (International Classification of Diseases, Ninth Revision [ICD-9]) codes for AF at index and previous admissions to Intermountain Healthcare hospitals (Salt Lake City, Utah, and its surrounding areas) and by searching the electrocardiographic database of all Intermountain Healthcare hospitals, which was maintained on electronic records. The electrocardiogram database includes electrocardiograms, ambulatory monitors, and symptom- and auto-triggered event monitors from all Intermountain Healthcare facilities. These databases are updated daily with completion of the dictated medical reports and physician review of the ordered electrocardiograms. Dementia was studied in general and as subtypes. Dementia was subtyped into AD, VD, senile dementia (SD), and nonspecified dementia (ND) based on diagnostic ICD code (ICD-9 codes 290 to 294, 331, or equivalent). The subtype ND comprised all dementia types searched. To assess the reliability of ICD-9 codes for end point analysis, we examined the study variable diabetes mellitus and found a 95% accuracy between the diagnosis from the ICD-9 Heart Rhythm, Vol 7, No 4, April 2010 codes and demographic data entered in the coronary angiogram database in those presenting for catheterization. The other study end point considered was mortality (allcause and coronary artery disease–related mortality [ICD-9 codes 410 to 414 or equivalent]). Deaths were determined by telephone survey, hospital records, and Utah State Health Department records (death certificates), and were verified through Social Security death records. Patients not listed as deceased in any registry were considered to be alive. The Student t-test and the chi-square statistic were used to evaluate baseline and clinical characteristics among patients with and without AF. Multivariable Cox hazard regression analysis (SPSS version 15.0; SPSS Inc., Chicago, Illinois) was used to evaluate the association of AF with the incidence of the study end points. Final models entered the significant (P ⬍.05) and confounding (10% change in hazard ratio [HR]) covariables. Two-tailed P values of ⬍.05 were designated as nominally significant. To assess the reliability of ICD-9 codes for end point analysis, we examined the study variable diabetes and found a 95% accuracy in the information from the ICD-9 codes and demographic data entered in the coronary angiogram database in those presenting for catheterization. Results Of the 37,025 patients with a mean age of 60.6 ⫾ 17.9 years studied, 10,161 (27%) developed AF and 1,535 developed (4.1%) dementia (179 VD, 321 SD, 347 AD, 688 ND) during the 5-year follow-up. The basic demographics of the patient population listed and compared by AF status are shown in Table 1. Patients with AF were older and had higher rates of hypertension, coronary artery disease, renal failure, heart failure, and prior strokes. Statin use was similar between the groups. On average, the ejection fraction was lower in the AF group. Patients with AF were more likely to be treated with an angiotensin-converting enzyme inhibitor or beta-blocker. Over the 5-year study period of follow-up, there was an increased incidence of dementia in general and all dementia subtypes in those patients with AF (ND: 1.3% (355) vs. 3.3% (333), P ⬍.0001; AD: 0.7% (199) vs. 1.5% (148), P ⬍.0001; SD: 0.6% (161) vs. 1.6% (160), P ⬍.0001; VD: 0.3% (89) vs. 0.9% (90), P ⬍.0001) (Figure 1). The average time to the development of dementia was modestly distinct between subtypes (AD: 1285.3 ⫾ 1220.3 days; VD: 1280.5 ⫾ 1258.8 days; SD: 1206.8 ⫾ 1141.5 days). Across all dementia states, the cognitive decline occurred earlier in patients with AF versus no AF (AD: 1225.4 ⫾ 1184.4 vs. 1340.0 ⫾ 1253.7; VD: 1224.6 ⫾ 1244.8 vs. 1336.4 ⫾ 1278.2; SD: 1110.8 ⫾ 1121.1 vs. 1300.7 ⫾ 1158.7). In this population, all patients who developed both AF and dementia (n ⫽ 764), developed AF first, but the dementia diagnosis could have occurred simultaneously with AF or after AF diagnosis. We examined the multivariable-adjusted age-based association of AF and dementia (Figure 2). For nonspecific dementia, the greatest risk with AF was in the younger cohort (ⱕ70 years) and declined in a linear fashion in the Bunch et al Table 1 Atrial Fibrillation and Dementia 435 Baseline patient characteristics in general and compared by the presence of atrial fibrillation Variable Overall (37,025) Non-AF (26,864) AF (10,161) P value Age (yrs) Male Hypertension Hyperlipidemia Diabetes Renal failure Smoking Family history Myocardial infarction Cerebral vascular accident Heart failure Statin ACE inhibitor ARB Beta-blocker Diuretic EF (n ⫽ 20,471) 60.6 ⫾ 17.9 60.1% 44.0% 39.3% 15.7% 1.3% 14.7% 28.2% 6.0% 3.6% 1.1% 31.7% 3.5% 0.9% 4.7% 3.8% 58.7 ⫾ 16.2 57.8 ⫾ 18.9 59.5% 43.8% 41.3% 15.7% 1.1% 15.6% 30.0% 5.4% 3.2% 0.8% 31.7% 3.6% 0.8% 5.0% 3.3% 60.0 ⫾ 15.9 68.1 ⫾ 12.2 61.5% 44.3% 34.2% 15.6% 1.8% 12.3% 23.4% 7.6% 4.7% 1.8% 31.9% 3.2% 1.1% 4.2% 5.2% 55.5 ⫾ 16.6 ⬍.0001 ⬍.0001 .40 ⬍.0001 .82 ⬍.0001 ⬍.0001 ⬍.0001 ⬍.0001 ⬍.0001 ⬍.0001 .68 .03 .009 .001 ⬍.0001 ⬍.0001 ACE ⫽ angiotensin-converting enzyme; AF ⫽ atrial fibrillation; EF ⫽ ejection fraction; ARB ⫽ angiotensin receptor blocker. next 2 age strata. A similar association was found with AD, with the greatest risk in the young (odds ratio 2.30, P ⫽ .001) with no apparent association in older patients. Both SD and VD were more likely to occur in AF patients in the 2 younger groups (ⱕ70 and 70 to 79 years). There was also a significant association between dementia and total mortality (ND: HR ⫽ 1.61, P ⬍.0001; AD: HR ⫽ 1.46, P ⬍.0001; SD: HR ⫽ 1.51, P ⬍.0001; VD: HR ⫽ 2.14, P ⬍.0001). The presence of AF further increased the risk of general mortality across all dementia subtypes (Figure 3). The increased risk of death with dementia was greatest in the younger groups (ⱕ70: ND: HR ⫽ 1.71, P ⫽ .002; AD: HR ⫽ 2.05, P ⫽ .005; SD: HR ⫽ 1.55, P ⫽ .10; VD: HR ⫽ 2.07, P ⫽ .007) and became nonsignificant in the older groups (80 to 89, ⱖ90 years). Over the follow-up period, there was a total of 775 computed tomography scans and 343 magnetic resonance imaging studies. Figure 1 The incidence of dementia by the patient’s AF status. There is a significant increase in dementia in general and in all subtypes in patients with AF. Of those, 106 patients received both. From these studies, 156 patients were identified as having a stroke. This accounts for 87% of those classified as having vascular dementia. Discussion AF was independently associated with risk of all forms of dementia. Although dementia is strongly associated with aging, the highest risk of AD was in the younger AF group, in support of the observed association. The presence of AF in all dementia subtypes identified patients at higher risk of mortality. This mortality risk was most prominent in the youngest population studied. Age remains the strongest risk factor for dementia, particularly for AD.3 In a community-based study, the estimated annual incidence of AD was 0.6% for patients ages 65 to 69 years, 1.0% for those 70 to 74 years, 2.0% for those 75 to 79 years, 3.3% for those 80 to 84 years, and 8.4% for Figure 2 Multivariate-adjusted odds ratios based on dementia type and age subgroup. Younger patients who had AF were at higher risk for all types of dementia. The association diminished with advancing age and becomes nonsignificant. 436 Figure 3 Multivariate-adjusted hazard ratios for long-term risk of mortality in patients who have dementia and AF. In all forms of dementia, patients with AF have significantly increased rates of total mortality. those 85 years and older.4 In a similar fashion, AF increases in a nearly linear manner with age. If the disease association was driven primarily by shared acquired risk factors, then an increase of each disease state should increase in a similar manner. The observation in these data that the highest multivariate-adjusted risk of dementia in AF patients was in the youngest cohort minimizes the potential confounding variable of age. Similar to age-based risk, patients with AF often have hypertension. The relationship between hypertension and dementia is not quite as clear. There seems to be an increased risk both in patients with high blood pressure6,10 –12 and in those with low blood pressure.29,30 Also, hypertension is associated with certain subtypes of dementia and not others, and the relevance of the association is often age- and disease-specific.31,32 In this study, the incidence of hypertension was similar in the AF and non-AF groups. In determining the independent risk of dementia in AF patients, adjustment for hypertension did not influence the significant association. An interesting observation in these data was that hypertension was common, but often undertreated with pharmacologic agents. Outside of diuretics that were used slightly more often in the AF group, there were similar hypertension treatment trends in the AF and non-AF groups. Prior studies have sought to determine whether hypertension treatment can attenuate dementia risk. Although there are conflicting data, the majority of studies suggest a slight decreased risk of cognitive impairment in hypertensive patients who have controlled versus poorly controlled pressure.33–37 This undertreatment of hypertension is an important limitation to these data, and also represents an area for future study to determine whether treatment of hypertension in AF patients will alter the observed disease state association. The role of inflammation in the pathogenesis of dementia remains an area of active investigation. Systemic markers of Heart Rhythm, Vol 7, No 4, April 2010 inflammation and hemostasis have been shown to be associated with cognitive decline.15 In an interesting study of more than 4,000 patients, the association between inflammatory markers (C-reactive protein and interleukin-6) and cognitive decline was modest, but was much stronger in those with inherited risk.16 Similarly, the role of AF and inflammation is an area of investigation. Recently, we found that AF increases highly sensitive C-reactive protein in a linear and independent manner in patients without and with coexistent cardiovascular diseases.24 Studies are required to investigate whether early targeted treatment of inflammation can influence the development of AF, dementia, or the combined disease state. There are many potential intriguing mechanisms that may explain these observations. One is that AF and dementia both may be caused by early vascular disease from central hypertension or microvascular dysfunction. Those patients with AF with underlying comprised vascular/microvascular dysfunction may be more likely to have cerebral perfusion dysfunction and to manifest dementia earlier. Patients with AF are more likely to develop heart failure, both systolic and diastolic, which may serve as a distinct mechanism underlying reduced cerebral perfusion.38 AF is also associated with silent cerebral infarctions and transient ischemic attacks.39 – 41 The long-term impact of multiple small subclinical strokes underlies the early cognitive decline observed in this study. This possibility brings up the question of whether aggressive rhythm management or anticoagulation may improve outcomes. Finally, as discussed previously, dementia increases in those patients with elevated markers of systemic inflammation. AF independently increases systemic inflammation beyond other cardiac risk factors,24 and may thereby accelerate the inflammationmediated progressive cognitive decline. The long-term mortality rate of dementia patients with AF is increased. The higher mortality rates were seen in all forms of dementia. The highest hazard was primarily noted in the younger cohorts. Previous studies have shown that patients with dementia who develop AF have faster rates of cognitive decline.13 The increased mortality in patients with earlier presentations of dementia and more rapid progression of dementia has been previously reported.42 Our data are unique in that they show that AF identifies additional risk in these patients. It is unknown whether treatment of AF will decrease this additional risk. Our study has several limitations. It is an epidemiologic study from a large health care database that we have used to identify associations but not to establish causality or mechanisms. The study relies on physicians to make and document the disease states. Furthermore, the treatment of patients is individualized, and this may directly influence risks of morbidity and mortality. However, the data were derived from a very large database of consecutive patients with an average of 5 years of follow-up, and insight is gleaned into the association of AF and dementia. Regarding arrhythmia diagnosis, by using ICD-9 codes, a comprehensive electro- Bunch et al Atrial Fibrillation and Dementia cardiogram database, and medical records to determine the presence of AF, the actual incidence of the arrhythmia in our study population may be higher than we reported due to subclinical events. However, the size of the population studied should minimize the influence of this potential limitation. Similar to AF, dementia and dementia subtypes were determined by ICD-9 codes, and these were assigned by the caring physicians. Therefore, there may have been some mischaracterization of dementia subtype. Nonetheless, the association of AF with dementia was seen dramatically across all subtypes, supporting the findings in general. Conclusion AF was independently associated with all forms of dementia. Although dementia is strongly associated with aging, the highest risk of AD was in the younger group, in support of the observed association. The presence of AF also identified dementia patients at high risk of death. These findings require further investigation and confirmation in an effort to understand and prevent dementia as well as to optimally manage dementia patients at higher risk of adverse outcomes. References 1. Caselli RJ. Current issues in the diagnosis and management of dementia. Semin Neurol 2003;23:231–240. 2. Morris JC. Dementia update 2003. Alzheimer Dis Assoc Disord 2003;17:245– 258. 3. Evans DA. The epidemiology of dementia and Alzheimer’s disease: an evolving field. J Am Geriatr Soc 1996;44:1482–1483. 4. Hebert LE, Scherr PA, Beckett LA, et al. Age-specific incidence of Alzheimer’s disease in a community population. JAMA 1995;273:1354 –1359. 5. Jorm AF, Jolley D. The incidence of dementia: a meta-analysis. Neurology 1998;51:728 –733. 6. Whitmer RA, Sidney S, Selby J, Johnston SC, Yaffe K. Midlife cardiovascular risk factors and risk of dementia in late life. Neurology 2005;64:277–281. 7. Xiong GL, Plassman BL, Helms MJ, Steffens DC. Vascular risk factors and cognitive decline among elderly male twins. Neurology 2006;67:1586 –1591. 8. Ott A, Stolk RP, van Harskamp F, Pols HA, Hofman A, Breteler MM. Diabetes mellitus and the risk of dementia: the Rotterdam study. Neurology 1999;53: 1937–1942. 9. Biessels GJ, Staekenborg S, Brunner E, Brayne C, Scheltens P. Risk of dementia in diabetes mellitus: a systematic review. Lancet Neurol 2006;5:64 –74. 10. Verdelho A, Madureira S, Ferro JM, et al. Differential impact of cerebral white matter changes, diabetes, hypertension and stroke on cognitive performance among non-disabled elderly. The LADIS study. J Neurol Neurosurg Psychiatry 2007;78:1325–1330. 11. Skoog I, Lernfelt B, Landahl S, et al. 15-year longitudinal study of blood pressure and dementia. Lancet 1996;347:1141–1145. 12. Tzourio C, Dufouil C, Ducimetiere P, Alperovitch A. Cognitive decline in individuals with high blood pressure: a longitudinal study in the elderly. EVA Study Group. Epidemiology of vascular aging. Neurology 1999;53: 1948 –1952. 13. Mielke MM, Rosenberg PB, Tschanz J, et al. Vascular factors predict rate of progression in Alzheimer disease. Neurology 2007;69:1850 –1858. 14. Luchsinger JA, Reitz C, Honig LS, Tang MX, Shea S, Mayeux R. Aggregation of vascular risk factors and risk of incident Alzheimer disease. Neurology 2005;65:545–551. 15. Rafnsson SB, Deary IJ, Smith FB, et al. Cognitive decline and markers of inflammation and hemostasis: the Edinburgh Artery Study. J Am Geriatr Soc 2007;55:700 –707. 16. Schram MT, Euser SM, de Craen AJ, et al. Systemic markers of inflammation and cognitive decline in old age. J Am Geriatr Soc 2007;55:708 –716. 17. Page RL. Clinical practice. Newly diagnosed atrial fibrillation. N Engl J Med 2004;351:2408 –2416. 437 18. Stewart S, Hart CL, Hole DJ, McMurray JJ. A population-based study of the long-term risks associated with atrial fibrillation: 20-year follow-up of the Renfrew/Paisley study. Am J Med 2002;113:359 –364. 19. Vidaillet H, Granada JF, Chyou PH, et al. A population-based study of mortality among patients with atrial fibrillation or flutter. Am J Med 2002;113:365–370. 20. Krahn AD, Manfreda J, Tate RB, Mathewson FA, Cuddy TE. The natural history of atrial fibrillation: incidence, risk factors, and prognosis in the Manitoba Follow-Up Study. Am J Med 1995;98:476 – 484. 21. Kannel WB, Abbott RD, Savage DD, McNamara PM. Epidemiologic features of chronic atrial fibrillation: the Framingham study. N Engl J Med 1982;306:1018 – 1022. 22. Watanabe H, Tanabe N, Watanabe T, et al. Metabolic syndrome and risk of development of atrial fibrillation: the Niigata preventive medicine study. Circulation 2008;117:1255–1260. 23. Anderson JL, Allen Maycock CA, Lappe DL, et al. Frequency of elevation of C-reactive protein in atrial fibrillation. Am J Cardiol 2004;94:1255–1259. 24. Crandall MA, Horne BD, Day JD, et al. Atrial fibrillation and CHADS2 risk factors are associated with highly sensitive c-reactive protein incrementally and independently. Pacing Clin Electrophysiol 2009;32:645– 652. 25. Miyasaka Y, Barnes ME, Petersen RC, et al. Risk of dementia in stroke-free patients diagnosed with atrial fibrillation: data from a community-based cohort. Eur Heart J 2007;28:1962–1967. 26. Knecht S, Oelschlager C, Duning T, et al. Atrial fibrillation in stroke-free patients is associated with memory impairment and hippocampal atrophy. Eur Heart J 2008 (in press). 27. Kilander L, Andren B, Nyman H, Lind L, Boberg M, Lithell H. Atrial fibrillation is an independent determinant of low cognitive function: a cross-sectional study in elderly men. Stroke 1998;29:1816 –1820. 28. Taylor GS, Muhlestein JB, Wagner GS, Bair TL, Li P, Anderson JL. Implementation of a computerized cardiovascular information system in a private hospital setting. Am Heart J 1998;136:792– 803. 29. Guo Z, Fratiglioni L, Winblad B, Viitanen M. Blood pressure and performance on the Mini-Mental State Examination in the very old. Cross-sectional and longitudinal data from the Kungsholmen Project. Am J Epidemiol 1997;145: 1106 –1113. 30. Verghese J, Lipton RB, Hall CB, Kuslansky G, Katz MJ. Low blood pressure and the risk of dementia in very old individuals. Neurology 2003;61:1667–1672. 31. Elkins JS, Yaffe K, Cauley JA, Fink HA, Hillier TA, Johnston SC. Pre-existing hypertension and the impact of stroke on cognitive function. Ann Neurol 2005;58:68 –74. 32. Glynn RJ, Beckett LA, Hebert LE, Morris MC, Scherr PA, Evans DA. Current and remote blood pressure and cognitive decline. JAMA 1999;281:438 – 445. 33. Lindsay J, Laurin D, Verreault R, et al. Risk factors for Alzheimer’s disease: a prospective analysis from the Canadian Study of Health and Aging. Am J Epidemiol 2002;156:445– 453. 34. Morris MS, Jacques PF, Rosenberg IH, Selhub J. Hyperhomocysteinemia associated with poor recall in the third National Health and Nutrition Examination Survey. Am J Clin Nutr 2001;73:927–933. 35. Obisesan TO. Hypertension and cognitive function. Clin Geriatr Med 2009;25: 259 –288. 36. Obisesan TO, Obisesan OA, Martins S, et al. High blood pressure, hypertension, and high pulse pressure are associated with poorer cognitive function in persons aged 60 and older: the Third National Health and Nutrition Examination Survey. J Am Geriatr Soc 2008;56:501–509. 37. Waldstein SR, Brown JR, Maier KJ, Katzel LI. Diagnosis of hypertension and high blood pressure levels negatively affect cognitive function in older adults. Ann Behav Med 2005;29:174 –180. 38. Morrison TB, Bunch TJ, Gersh BJ. Pathophysiology of concomitant atrial fibrillation and heart failure: implications for management. Nat Clin Pract Cardiovasc Med 2009;6:46 –56. 39. Ezekowitz MD, James KE, Nazarian SM, et al. Silent cerebral infarction in patients with nonrheumatic atrial fibrillation. The Veterans Affairs Stroke Prevention in Nonrheumatic Atrial Fibrillation Investigators. Circulation 1995;92: 2178 –2182. 40. Kempster PA, Gerraty RP, Gates PC. Asymptomatic cerebral infarction in patients with chronic atrial fibrillation. Stroke 1988;19:955–957. 41. Cullinane M, Wainwright R, Brown A, Monaghan M, Markus HS. Asymptomatic embolization in subjects with atrial fibrillation not taking anticoagulants: a prospective study. Stroke 1998;29:1810 –1815. 42. Tschanz JT, Corcoran C, Shao H, et al. Association between neuropsychiatric syndromes and mortality in a population-based sample of incident Alzheimer’s disease and other dementias: the Cache County dementia progression study. 2008;4 Suppl 4:T132–T133.