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Siriwardhana C, Carrazana E, Liow K, Chen JJ. Racial/Ethnic Disparities in the Alzheimer's Disease Link with Cardio and Cerebrovascular Diseases, Based on Hawaii Medicare Data. J Alzheimers Dis Rep 2023; 7:1103-1120. [PMID: 37849625 PMCID: PMC10578323 DOI: 10.3233/adr-230003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 08/22/2023] [Indexed: 10/19/2023] Open
Abstract
Background There is an expanding body of literature implicating heart disease and stroke as risk factors for Alzheimer's disease (AD). Hawaii is one of the six majority-minority states in the United States and has significant racial health disparities. The Native-Hawaiians/Pacific-Islander (NHPI) population is well-known as a high-risk group for a variety of disease conditions. Objective We explored the association of cardiovascular disease with AD development based on the Hawaii Medicare data, focusing on racial disparities. Methods We utilized nine years of Hawaii Medicare data to identify subjects who developed heart failure (HF), ischemic heart disease (IHD), atrial fibrillation (AF), acute myocardial infarction (AMI), stroke, and progressed to AD, using multistate models. Propensity score-matched controls without cardiovascular disease were identified to compare the risk of AD after heart disease and stroke. Racial/Ethnic differences in progression to AD were evaluated, accounting for other risk factors. Results We found increased risks of AD for AF, HF, IHD, and stroke. Socioeconomic (SE) status was found to be critical to AD risk. Among the low SE group, increased AD risks were found in NHPIs compared to Asians for all conditions selected and compared to whites for HF, IHD, and stroke. Interestingly, these observations were found reversed in the higher SE group, showing reduced AD risks for NHPIs compared to whites for AF, HF, and IHD, and to Asians for HF and IHD. Conclusions NHPIs with poor SE status seems to be mostly disadvantaged by the heart/stroke and AD association compared to corresponding whites and Asians.
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Affiliation(s)
- Chathura Siriwardhana
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Enrique Carrazana
- Department of Medicine, University of Hawaii John Burns School of Medicine, Honolulu, HI, USA
| | - Kore Liow
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
- Department of Medicine, University of Hawaii John Burns School of Medicine, Honolulu, HI, USA
- Memory Disorders Center, Stroke & Neurologic Restoration Center, Hawaii Pacific Neuroscience, Honolulu, HI, USA
| | - John J. Chen
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
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Thong EHE, Quek EJW, Loo JH, Yun CY, Teo YN, Teo YH, Leow AST, Li TYW, Sharma VK, Tan BYQ, Yeo LLL, Chong YF, Chan MY, Sia CH. Acute Myocardial Infarction and Risk of Cognitive Impairment and Dementia: A Review. BIOLOGY 2023; 12:1154. [PMID: 37627038 PMCID: PMC10452707 DOI: 10.3390/biology12081154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 08/05/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023]
Abstract
Cognitive impairment (CI) shares common cardiovascular risk factors with acute myocardial infarction (AMI), and is increasingly prevalent in our ageing population. Whilst AMI is associated with increased rates of CI, CI remains underreported and infrequently identified in patients with AMI. In this review, we discuss the evidence surrounding AMI and its links to dementia and CI, including pathophysiology, risk factors, management and interventions. Vascular dysregulation plays a major role in CI, with atherosclerosis, platelet activation, microinfarcts and perivascular inflammation resulting in neurovascular unit dysfunction, disordered homeostasis and a dysfunctional neurohormonal response. This subsequently affects perfusion pressure, resulting in enlarged periventricular spaces and hippocampal sclerosis. The increased platelet activation seen in coronary artery disease (CAD) can also result in inflammation and amyloid-β protein deposition which is associated with Alzheimer's Dementia. Post-AMI, reduced blood pressure and reduced left ventricular ejection fraction can cause chronic cerebral hypoperfusion, cerebral infarction and failure of normal circulatory autoregulatory mechanisms. Patients who undergo coronary revascularization (percutaneous coronary intervention or bypass surgery) are at increased risk for post-procedure cognitive impairment, though whether this is related to the intervention itself or underlying cardiovascular risk factors is debated. Mortality rates are higher in dementia patients with AMI, and post-AMI CI is more prevalent in the elderly and in patients with post-AMI heart failure. Medical management (antiplatelet, statin, renin-angiotensin system inhibitors, cardiac rehabilitation) can reduce the risk of post-AMI CI; however, beta-blockers may be associated with functional decline in patients with existing CI. The early identification of those with dementia or CI who present with AMI is important, as subsequent tailoring of management strategies can potentially improve outcomes as well as guide prognosis.
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Affiliation(s)
- Elizabeth Hui En Thong
- Internal Medicine Residency, National University Health System, Singapore 119074, Singapore; (E.H.E.T.); (Y.H.T.); (A.S.T.L.)
| | - Ethan J. W. Quek
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.J.W.Q.); (J.H.L.); (Y.N.T.); (V.K.S.); (B.Y.Q.T.); (L.L.L.Y.); (M.Y.C.)
| | - Jing Hong Loo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.J.W.Q.); (J.H.L.); (Y.N.T.); (V.K.S.); (B.Y.Q.T.); (L.L.L.Y.); (M.Y.C.)
| | - Choi-Ying Yun
- Department of Cardiology, National University Heart Centre Singapore, Singapore 119074, Singapore; (C.-Y.Y.); (T.Y.W.L.)
| | - Yao Neng Teo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.J.W.Q.); (J.H.L.); (Y.N.T.); (V.K.S.); (B.Y.Q.T.); (L.L.L.Y.); (M.Y.C.)
| | - Yao Hao Teo
- Internal Medicine Residency, National University Health System, Singapore 119074, Singapore; (E.H.E.T.); (Y.H.T.); (A.S.T.L.)
| | - Aloysius S. T. Leow
- Internal Medicine Residency, National University Health System, Singapore 119074, Singapore; (E.H.E.T.); (Y.H.T.); (A.S.T.L.)
| | - Tony Y. W. Li
- Department of Cardiology, National University Heart Centre Singapore, Singapore 119074, Singapore; (C.-Y.Y.); (T.Y.W.L.)
| | - Vijay K. Sharma
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.J.W.Q.); (J.H.L.); (Y.N.T.); (V.K.S.); (B.Y.Q.T.); (L.L.L.Y.); (M.Y.C.)
- Division of Neurology, Department of Medicine, National University Hospital, Singapore 119074, Singapore;
| | - Benjamin Y. Q. Tan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.J.W.Q.); (J.H.L.); (Y.N.T.); (V.K.S.); (B.Y.Q.T.); (L.L.L.Y.); (M.Y.C.)
- Division of Neurology, Department of Medicine, National University Hospital, Singapore 119074, Singapore;
| | - Leonard L. L. Yeo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.J.W.Q.); (J.H.L.); (Y.N.T.); (V.K.S.); (B.Y.Q.T.); (L.L.L.Y.); (M.Y.C.)
- Division of Neurology, Department of Medicine, National University Hospital, Singapore 119074, Singapore;
| | - Yao Feng Chong
- Division of Neurology, Department of Medicine, National University Hospital, Singapore 119074, Singapore;
| | - Mark Y. Chan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.J.W.Q.); (J.H.L.); (Y.N.T.); (V.K.S.); (B.Y.Q.T.); (L.L.L.Y.); (M.Y.C.)
- Department of Cardiology, National University Heart Centre Singapore, Singapore 119074, Singapore; (C.-Y.Y.); (T.Y.W.L.)
| | - Ching-Hui Sia
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.J.W.Q.); (J.H.L.); (Y.N.T.); (V.K.S.); (B.Y.Q.T.); (L.L.L.Y.); (M.Y.C.)
- Department of Cardiology, National University Heart Centre Singapore, Singapore 119074, Singapore; (C.-Y.Y.); (T.Y.W.L.)
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Merkler AE, Bartz TM, Kamel H, Soliman EZ, Howard V, Psaty BM, Okin PM, Safford MM, Elkind MSV, Longstreth WT. Silent Myocardial Infarction and Subsequent Ischemic Stroke in the Cardiovascular Health Study. Neurology 2021; 97:e436-e443. [PMID: 34031202 DOI: 10.1212/wnl.0000000000012249] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 04/19/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To test the hypothesis that silent myocardial infarction (MI) is a risk factor for ischemic stroke, we evaluated the association between silent MI and subsequent ischemic stroke in the Cardiovascular Health Study. METHODS The Cardiovascular Health Study prospectively enrolled community-dwelling individuals ≥65 years of age. We included participants without prevalent stroke or baseline evidence of MI. Our exposures were silent and clinically apparent, overt MI. Silent MI was defined as new evidence of Q-wave MI, without clinical symptoms of MI, on ECGs performed during annual study visits from 1989 to 1999. The primary outcome was incident ischemic stroke. Secondary outcomes were ischemic stroke subtypes: nonlacunar, lacunar, and other/unknown. Cox proportional hazards analysis was used to model the association between time-varying MI status (silent, overt, or no MI) and stroke after adjustment for baseline demographics and vascular risk factors. RESULTS Among 4,224 participants, 362 (8.6%) had an incident silent MI, 421 (10.0%) an incident overt MI, and 377 (8.9%) an incident ischemic stroke during a median follow-up of 9.8 years. After adjustment for demographics and comorbidities, silent MI was independently associated with subsequent ischemic stroke (hazard ratio [HR], 1.51; 95% confidence interval [CI], 1.03-2.21). Overt MI was associated with ischemic stroke both in the short term (HR, 80; 95% CI, 53-119) and long term (HR, 1.60; 95% CI, 1.04-2.44). In secondary analyses, the association between silent MI and stroke was limited to nonlacunar ischemic stroke (HR, 2.40; 95% CI, 1.36-4.22). CONCLUSION In a community-based sample, we found an association between silent MI and ischemic stroke.
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Affiliation(s)
- Alexander E Merkler
- From the Clinical and Translational Neuroscience Unit (A.E.M., H.K.), Feil Family Brain and Mind Research Institute (A.E.M., H.K.), and Departments of Neurology (A.E.M., H.K.) and Medicine (P.M.O., M.M.S.), Weill Cornell Medical College, New York, NY; Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (B.M.P.), and Departments of Medicine (B.M.P.), Epidemiology (B.M.P., W.T.L.), Health Services (B.M.P.), and Neurology (W.T.L.), University of Washington, Seattle; Epidemiological Cardiology Research Center (E.Z.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (V.H.), School of Public Health, University of Alabama at Birmingham; Kaiser Permanente Washington Health Research Institute (B.M.P.), Seattle; and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), and Department of Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY.
| | - Traci M Bartz
- From the Clinical and Translational Neuroscience Unit (A.E.M., H.K.), Feil Family Brain and Mind Research Institute (A.E.M., H.K.), and Departments of Neurology (A.E.M., H.K.) and Medicine (P.M.O., M.M.S.), Weill Cornell Medical College, New York, NY; Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (B.M.P.), and Departments of Medicine (B.M.P.), Epidemiology (B.M.P., W.T.L.), Health Services (B.M.P.), and Neurology (W.T.L.), University of Washington, Seattle; Epidemiological Cardiology Research Center (E.Z.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (V.H.), School of Public Health, University of Alabama at Birmingham; Kaiser Permanente Washington Health Research Institute (B.M.P.), Seattle; and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), and Department of Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY
| | - Hooman Kamel
- From the Clinical and Translational Neuroscience Unit (A.E.M., H.K.), Feil Family Brain and Mind Research Institute (A.E.M., H.K.), and Departments of Neurology (A.E.M., H.K.) and Medicine (P.M.O., M.M.S.), Weill Cornell Medical College, New York, NY; Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (B.M.P.), and Departments of Medicine (B.M.P.), Epidemiology (B.M.P., W.T.L.), Health Services (B.M.P.), and Neurology (W.T.L.), University of Washington, Seattle; Epidemiological Cardiology Research Center (E.Z.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (V.H.), School of Public Health, University of Alabama at Birmingham; Kaiser Permanente Washington Health Research Institute (B.M.P.), Seattle; and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), and Department of Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY
| | - Elsayed Z Soliman
- From the Clinical and Translational Neuroscience Unit (A.E.M., H.K.), Feil Family Brain and Mind Research Institute (A.E.M., H.K.), and Departments of Neurology (A.E.M., H.K.) and Medicine (P.M.O., M.M.S.), Weill Cornell Medical College, New York, NY; Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (B.M.P.), and Departments of Medicine (B.M.P.), Epidemiology (B.M.P., W.T.L.), Health Services (B.M.P.), and Neurology (W.T.L.), University of Washington, Seattle; Epidemiological Cardiology Research Center (E.Z.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (V.H.), School of Public Health, University of Alabama at Birmingham; Kaiser Permanente Washington Health Research Institute (B.M.P.), Seattle; and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), and Department of Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY
| | - Virginia Howard
- From the Clinical and Translational Neuroscience Unit (A.E.M., H.K.), Feil Family Brain and Mind Research Institute (A.E.M., H.K.), and Departments of Neurology (A.E.M., H.K.) and Medicine (P.M.O., M.M.S.), Weill Cornell Medical College, New York, NY; Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (B.M.P.), and Departments of Medicine (B.M.P.), Epidemiology (B.M.P., W.T.L.), Health Services (B.M.P.), and Neurology (W.T.L.), University of Washington, Seattle; Epidemiological Cardiology Research Center (E.Z.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (V.H.), School of Public Health, University of Alabama at Birmingham; Kaiser Permanente Washington Health Research Institute (B.M.P.), Seattle; and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), and Department of Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY
| | - Bruce M Psaty
- From the Clinical and Translational Neuroscience Unit (A.E.M., H.K.), Feil Family Brain and Mind Research Institute (A.E.M., H.K.), and Departments of Neurology (A.E.M., H.K.) and Medicine (P.M.O., M.M.S.), Weill Cornell Medical College, New York, NY; Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (B.M.P.), and Departments of Medicine (B.M.P.), Epidemiology (B.M.P., W.T.L.), Health Services (B.M.P.), and Neurology (W.T.L.), University of Washington, Seattle; Epidemiological Cardiology Research Center (E.Z.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (V.H.), School of Public Health, University of Alabama at Birmingham; Kaiser Permanente Washington Health Research Institute (B.M.P.), Seattle; and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), and Department of Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY
| | - Peter M Okin
- From the Clinical and Translational Neuroscience Unit (A.E.M., H.K.), Feil Family Brain and Mind Research Institute (A.E.M., H.K.), and Departments of Neurology (A.E.M., H.K.) and Medicine (P.M.O., M.M.S.), Weill Cornell Medical College, New York, NY; Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (B.M.P.), and Departments of Medicine (B.M.P.), Epidemiology (B.M.P., W.T.L.), Health Services (B.M.P.), and Neurology (W.T.L.), University of Washington, Seattle; Epidemiological Cardiology Research Center (E.Z.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (V.H.), School of Public Health, University of Alabama at Birmingham; Kaiser Permanente Washington Health Research Institute (B.M.P.), Seattle; and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), and Department of Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY
| | - Monika M Safford
- From the Clinical and Translational Neuroscience Unit (A.E.M., H.K.), Feil Family Brain and Mind Research Institute (A.E.M., H.K.), and Departments of Neurology (A.E.M., H.K.) and Medicine (P.M.O., M.M.S.), Weill Cornell Medical College, New York, NY; Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (B.M.P.), and Departments of Medicine (B.M.P.), Epidemiology (B.M.P., W.T.L.), Health Services (B.M.P.), and Neurology (W.T.L.), University of Washington, Seattle; Epidemiological Cardiology Research Center (E.Z.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (V.H.), School of Public Health, University of Alabama at Birmingham; Kaiser Permanente Washington Health Research Institute (B.M.P.), Seattle; and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), and Department of Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY
| | - Mitchell S V Elkind
- From the Clinical and Translational Neuroscience Unit (A.E.M., H.K.), Feil Family Brain and Mind Research Institute (A.E.M., H.K.), and Departments of Neurology (A.E.M., H.K.) and Medicine (P.M.O., M.M.S.), Weill Cornell Medical College, New York, NY; Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (B.M.P.), and Departments of Medicine (B.M.P.), Epidemiology (B.M.P., W.T.L.), Health Services (B.M.P.), and Neurology (W.T.L.), University of Washington, Seattle; Epidemiological Cardiology Research Center (E.Z.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (V.H.), School of Public Health, University of Alabama at Birmingham; Kaiser Permanente Washington Health Research Institute (B.M.P.), Seattle; and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), and Department of Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY
| | - W T Longstreth
- From the Clinical and Translational Neuroscience Unit (A.E.M., H.K.), Feil Family Brain and Mind Research Institute (A.E.M., H.K.), and Departments of Neurology (A.E.M., H.K.) and Medicine (P.M.O., M.M.S.), Weill Cornell Medical College, New York, NY; Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (B.M.P.), and Departments of Medicine (B.M.P.), Epidemiology (B.M.P., W.T.L.), Health Services (B.M.P.), and Neurology (W.T.L.), University of Washington, Seattle; Epidemiological Cardiology Research Center (E.Z.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (V.H.), School of Public Health, University of Alabama at Birmingham; Kaiser Permanente Washington Health Research Institute (B.M.P.), Seattle; and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), and Department of Epidemiology (M.S.V.E.), Mailman School of Public Health, Columbia University, New York, NY
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Ahmad MI, Chevli PA, Barot H, Soliman EZ. Interrelationships Between American Heart Association's Life's Simple 7, ECG Silent Myocardial Infarction, and Cardiovascular Mortality. J Am Heart Assoc 2020; 8:e011648. [PMID: 30859894 PMCID: PMC6475074 DOI: 10.1161/jaha.118.011648] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background We examined the interrelationships among cardiovascular health (CVH), assessed by the American Heart Association's Life's Simple 7 (LS7) health metrics, silent myocardial infarction (SMI), and cardiovascular disease (CVD) mortality. Methods and Results This analysis included 6766 participants without a history of coronary heart disease from the Third Report of the National Health and Nutrition Examination Survey. Poor, intermediate, and ideal CVH were defined as an LS7 score of 0 to 4, 5 to 9, and 10 to 14, respectively. SMI was defined as ECG evidence of myocardial infarction without a clinical diagnosis of myocardial infarction. Cox proportional hazard analysis was used to examine the association of baseline CVH with CVD death stratified by SMI status on follow-up. In multivariable logistic regression models, ideal CVH was associated with 69% lower odds of SMI compared with poor CVH. During a median follow-up of 14 years, 907 CVD deaths occurred. In patients without SMI, intermediate CVH (hazard ratio, 1.41; 95% CI, 1.14-1.74) and poor CVH (hazard ratio, 2.77; 95% CI, 2.10-3.66) were associated with increased risk of CVD mortality, compared with ideal CVH. However, in the presence of SMI, the magnitude of these associations almost doubled (hazard ratio, 2.17 [95% CI, 1.42-3.32] for intermediate CVH and hazard ratio, 6.28 [95% CI, 3.02-13.07] for poor CVH). SMI predicted a significant increased risk of CVD mortality in the intermediate and poor CVH subgroups but a nonsignificant increased risk in the ideal CVH subgroup. Conclusions Ideal CVH is associated with a lower risk of SMI, and concomitant presence of SMI and poor CVH is associated with a worse prognosis. These novel findings underscore the potential role of maintaining ideal CVH in preventing future CVD outcomes.
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Affiliation(s)
- Muhammad Imtiaz Ahmad
- 1 Section on Hospital Medicine Department of Internal Medicine Wake Forest School of Medicine Winston-Salem NC
| | - Parag Anilkumar Chevli
- 1 Section on Hospital Medicine Department of Internal Medicine Wake Forest School of Medicine Winston-Salem NC
| | - Harsh Barot
- 1 Section on Hospital Medicine Department of Internal Medicine Wake Forest School of Medicine Winston-Salem NC
| | - Elsayed Z Soliman
- 2 Epidemiological Cardiology Research Center (EPICARE) Department of Epidemiology and Prevention Wake Forest School of Medicine Winston-Salem NC.,3 Section on Cardiology Department of Internal Medicine Wake Forest School of Medicine Winston-Salem NC
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Yang Y, Li W, Zhu H, Pan XF, Hu Y, Arnott C, Mai W, Cai X, Huang Y. Prognosis of unrecognised myocardial infarction determined by electrocardiography or cardiac magnetic resonance imaging: systematic review and meta-analysis. BMJ 2020; 369:m1184. [PMID: 32381490 PMCID: PMC7203874 DOI: 10.1136/bmj.m1184] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVE To evaluate the prognosis of unrecognised myocardial infarction determined by electrocardiography (UMI-ECG) or cardiac magnetic resonance imaging (UMI-CMR). DESIGN Systematic review and meta-analysis of prospective studies. DATA SOURCES Electronic databases, including PubMed, Embase, and Google Scholar. STUDY SELECTION Prospective cohort studies were included if they reported adjusted relative risks, odds ratios, or hazard ratios and 95% confidence intervals for all cause mortality or cardiovascular outcomes in participants with unrecognised myocardial infarction compared with those without myocardial infarction. DATA EXTRACTION AND SYNTHESIS The primary outcomes were composite major adverse cardiac events, all cause mortality, and cardiovascular mortality associated with UMI-ECG and UMI-CMR. The secondary outcomes were the risks of recurrent coronary heart disease or myocardial infarction, stroke, heart failure, and atrial fibrillation. Pooled hazard ratios and 95% confidence intervals were reported. The heterogeneity of outcomes was compared in clinically recognised and unrecognised myocardial infarction. RESULTS The meta-analysis included 30 studies with 253 425 participants and 1 621 920 person years of follow-up. UMI-ECG was associated with increased risks of all cause mortality (hazard ratio 1.50, 95% confidence interval 1.30 to 1.73), cardiovascular mortality (2.33, 1.66 to 3.27), and major adverse cardiac events (1.61, 1.38 to 1.89) compared with the absence of myocardial infarction. UMI-CMR was also associated with increased risks of all cause mortality (3.21, 1.43 to 7.23), cardiovascular mortality (10.79, 4.09 to 28.42), and major adverse cardiac events (3.23, 2.10 to 4.95). No major heterogeneity was observed for any primary outcomes between recognised myocardial infarction and UMI-ECG or UMI-CMR. The absolute risk differences were 7.50 (95% confidence interval 4.50 to 10.95) per 1000 person years for all cause mortality, 11.04 (5.48 to 18.84) for cardiovascular mortality, and 27.45 (17.1 to 40.05) for major adverse cardiac events in participants with UMI-ECG compared with those without myocardial infarction. The corresponding data for UMI-CMR were 32.49 (6.32 to 91.58), 37.2 (11.7 to 104.20), and 51.96 (25.63 to 92.04), respectively. CONCLUSIONS UMI-ECG or UMI-CMR is associated with an adverse long term prognosis similar to that of recognised myocardial infarction. Screening for unrecognised myocardial infarction could be useful for risk stratification among patients with a high risk of cardiovascular disease.
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Affiliation(s)
- Yu Yang
- Department of Geriatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Wensheng Li
- Department of Cardiology, Shunde Hospital, Southern Medical University, Jiazhi Road 1, Lunjiao Town, Shunde District, Foshan, 528300, China
| | - Hailan Zhu
- Department of Cardiology, Shunde Hospital, Southern Medical University, Jiazhi Road 1, Lunjiao Town, Shunde District, Foshan, 528300, China
| | - Xiong-Fei Pan
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yunzhao Hu
- Department of Cardiology, Shunde Hospital, Southern Medical University, Jiazhi Road 1, Lunjiao Town, Shunde District, Foshan, 528300, China
| | - Clare Arnott
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Weiyi Mai
- Department of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaoyan Cai
- Department of Scientific Research and Education, Shunde Hospital, Southern Medical University, Foshan, China
| | - Yuli Huang
- Department of Cardiology, Shunde Hospital, Southern Medical University, Jiazhi Road 1, Lunjiao Town, Shunde District, Foshan, 528300, China
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
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Alzheimer's Disease and Cardiovascular Disease: A Particular Association. Cardiol Res Pract 2020; 2020:2617970. [PMID: 32454996 PMCID: PMC7222603 DOI: 10.1155/2020/2617970] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 01/08/2020] [Accepted: 04/06/2020] [Indexed: 12/27/2022] Open
Abstract
Methods This review is based on the material obtained via MEDLINE (PubMed), EMBASE, and Clinical Trials databases, from January 1980 until May 2019. The search term used was "Alzheimer's disease," combined with "cardiovascular disease," "hypertension," "dyslipidaemia," "diabetes mellitus," "atrial fibrillation," "coronary artery disease," "heart valve disease," and "heart failure." Out of the 1,328 papers initially retrieved, 431 duplicates and 216 records in languages other than English were removed. Among the 681 remaining studies, 98 were included in our research material on the basis of the following inclusion criteria: (a) the community-based studies; (b) using standardized diagnostic criteria; (c) reporting raw prevalence data; (d) with separate reported data for sex and age classes. Results While AD and CVD alone may be considered deleterious to health, the study of their combination constitutes a clinical challenge. Further research will help to clarify the real impact of vascular factors on these diseases. It may be hypothesized that there are various mechanisms underlying the association between AD and CVD, the main ones being hypoperfusion and emboli, atherosclerosis, and the fact that, in both the heart and brain of AD patients, amyloid deposits may be present, thus causing damage to these organs. Conclusions AD and CVD are frequently associated. Further studies are needed in order to understand the effect of CVD and its risk factors on AD in order to better comprehend the effects of subclinical and clinical CVD on the brain. Finally, we need to clarify the impact of the underlying hypothesized mechanisms of this association and to investigate gender issues.
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Prevalence of electrocardiographic unrecognized myocardial infarction and its association with mortality. Int J Cardiol 2017; 243:34-39. [PMID: 28549748 DOI: 10.1016/j.ijcard.2017.05.063] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Revised: 05/07/2017] [Accepted: 05/15/2017] [Indexed: 01/08/2023]
Abstract
BACKGROUND Identifying unrecognized myocardial infarction (MI) is important for secondary prevention. The aim of this study is to determine the prevalence and correlates of unrecognized MI and the association with mortality in the general population. METHODS All participants ≥18years participating in the Lifelines population, a three-generation Cohort Study and Biobank, were included (n=152,180). Participants with unrecognized MI were matched with controls without MI (1:2) based on age and gender. Unrecognized MI was defined when no history of MI was reported in combination with electrocardiographic (ECG) signs corresponding to MI. A history of MI was defined as a reported history of MI in combination with ECG signs and/or the use of antithrombotic medication. RESULTS MI was present in 1881(1.2%) of participants and was unrecognized in 431 (22.9%) participants. Under the age of 50years, percentages of unrecognized MI relative to the total amount of MI were 34% and 55% in men and women respectively. Compared to recognized MI, classical cardiovascular risk factors were less prevalent in participants with unrecognized MI. During a median follow- up time of 5, 4 and 4years, 4.4%, 6.4% and 2.2% of participants with unrecognized MI, recognized MI and without MI died, respectively. In a multivariable logistic regression unrecognized MI was an independent predictor of death. CONCLUSIONS The prevalence of unrecognized MI is substantial and classical cardiovascular risk factors are less prevalent in participants with unrecognized MI. Nevertheless, unrecognized MI is associated with mortality. Risk stratification and early diagnosis is necessary to reduce the morbidity and mortality after MI.
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Ramos R, Albert X, Sala J, Garcia-Gil M, Elosua R, Marrugat J, Ponjoan A, Grau M, Morales M, Rubió A, Ortuño P, Alves-Cabratosa L, Martí-Lluch R. Prevalence and incidence of Q-wave unrecognized myocardial infarction in general population: Diagnostic value of the electrocardiogram. The REGICOR study. Int J Cardiol 2016; 225:300-305. [PMID: 27744207 DOI: 10.1016/j.ijcard.2016.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Revised: 10/01/2016] [Accepted: 10/04/2016] [Indexed: 02/01/2023]
Abstract
BACKGROUND Diagnosis of unrecognized myocardial infarction (UMI) remains an open question in epidemiological and clinical studies, inhibiting effective secondary prevention of myocardial infarction. We aimed to determine the prevalence and incidence of Q-wave UMI in asymptomatic individuals aged 35 to 74years, and to ascertain the positive predictive value (PPV) of asymptomatic Q-wave to diagnose UMI. METHODS Two population-based cross-sectional studies were conducted, in 2000 (with 10-year follow-up) and in 2005. A baseline electrocardiogram was obtained for each participant. Imaging techniques (echocardiography, cardiac magnetic resonance imaging, and myocardial perfusion single-photon emission computerized tomography) were used to confirm UMI in patients with asymptomatic Q-wave. RESULTS The prevalence of confirmed Q-wave UMI in the 5580 participants was 0.18% (95% confidence interval [CI]: 0.10-0.33) and the incidence rate was 27.1 Q-wave UMI per 100,000person-years. The proportion of confirmed Q-wave UMI with respect to all prevalent MI was 8.1% (95% CI: 4.4-14.2). The PPV of asymptomatic Q-wave to diagnose Q-wave UMI was 29.2% (95% CI: 18.2-43.2%) overall, but much higher (75%, 95% CI: 40.9-92.9%) in participants with 10-year CHD risk ≥10%, compared to lower-risk participants. CONCLUSION Opportunistic identification of asymptomatic Q-waves by routine electrocardiogram overestimates actual Q-wave UMI, which represents 8% to 13% of all myocardial infarction in the population aged 35 to 74years. This overestimation is particularly high in the population at low cardiovascular risk. In epidemiological studies and in clinical practice, diagnosis of a pathologic Q-wave in asymptomatic patients requires detailed analysis of imaging tests to confirm or rule out myocardial necrosis.
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Affiliation(s)
- Rafel Ramos
- ISV Research Group, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Catalunya, Spain; Department of Medical Sciences, School of Medicine, University of Girona, Spain; Girona Biomedical Research Institute (IDIBGI), Catalan Institute of Health (ICS), Girona, Spain.
| | - Xavier Albert
- Department of Medical Sciences, School of Medicine, University of Girona, Spain; Coronary Unit and Cardiology, Hospital Josep Trueta, Girona, Biomedical Research Institute, Girona (IdIBGi), ICS, Catalunya, Spain; Doctoral Program in Public Health and Biomedical Research Methods, Autonomous University of Barcelona, Spain
| | - Joan Sala
- Department of Medical Sciences, School of Medicine, University of Girona, Spain; Coronary Unit and Cardiology, Hospital Josep Trueta, Girona, Biomedical Research Institute, Girona (IdIBGi), ICS, Catalunya, Spain
| | - Maria Garcia-Gil
- ISV Research Group, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Catalunya, Spain; Department of Medical Sciences, School of Medicine, University of Girona, Spain; Girona Biomedical Research Institute (IDIBGI), Catalan Institute of Health (ICS), Girona, Spain
| | - Roberto Elosua
- Registre Gironí del COR (REGICOR) Group, Cardiovascular, Epidemiology and Genetics Research Group (EGEC), Municipal Institute for Medical Research (IMIM), Barcelona, Spain
| | - Jaume Marrugat
- Registre Gironí del COR (REGICOR) Group, Cardiovascular, Epidemiology and Genetics Research Group (EGEC), Municipal Institute for Medical Research (IMIM), Barcelona, Spain
| | - Anna Ponjoan
- ISV Research Group, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Catalunya, Spain; Girona Biomedical Research Institute (IDIBGI), Catalan Institute of Health (ICS), Girona, Spain
| | - María Grau
- Registre Gironí del COR (REGICOR) Group, Cardiovascular, Epidemiology and Genetics Research Group (EGEC), Municipal Institute for Medical Research (IMIM), Barcelona, Spain
| | - Manel Morales
- Coronary Unit and Cardiology, Hospital Josep Trueta, Girona, Biomedical Research Institute, Girona (IdIBGi), ICS, Catalunya, Spain
| | - Antoni Rubió
- Department of Nuclear Medicine, Hospital Josep Trueta, Girona, Biomedical Research Institute, Girona (IdIBGi), ICS, Catalunya, Spain
| | - Pedro Ortuño
- Department of Diagnostic Radiology, Hospital Josep Trueta, Girona, Biomedical Research Institute, Girona (IdIBGi), ICS, Catalunya, Spain
| | - Lia Alves-Cabratosa
- ISV Research Group, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Catalunya, Spain; Girona Biomedical Research Institute (IDIBGI), Catalan Institute of Health (ICS), Girona, Spain
| | - Ruth Martí-Lluch
- ISV Research Group, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Catalunya, Spain; Girona Biomedical Research Institute (IDIBGI), Catalan Institute of Health (ICS), Girona, Spain
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Jovanova O, Luik AI, Leening MJG, Noordam R, Aarts N, Hofman A, Franco OH, Dehghan A, Tiemeier H. The long-term risk of recognized and unrecognized myocardial infarction for depression in older men. Psychol Med 2016; 46:1951-1960. [PMID: 26996221 DOI: 10.1017/s0033291716000544] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND The association between myocardial infarction (MI) and depression is well described. Yet, the underlying mechanisms are unclear and the contribution of psychological factors is uncertain. We aimed to determine the risk of recognized (RMI) and unrecognized (UMI) myocardial infections on depression, as both have a similar impact on cardiovascular health but differ in psychological epiphenomena. METHOD Participants of the Rotterdam Study, 1823 men aged ⩾55 years, were followed for the occurrence of depression. RMI and UMI were ascertained using electrocardiography and medical history at baseline. We determined the strength of the association of RMI and UMI with mortality, and we studied the relationship of RMI and UMI with depressive symptoms and the occurrence of major depression. RESULTS The risk of mortality was similar in men with RMI [adjusted hazard ratio (aHR) 1.71, 95% confidence interval (CI) 1.45-2.03] and UMI (aHR 1.58, 95% CI 1.27-1.97). Men with RMI had on average [unstandardized regression coefficient (B) 1.14, 95% CI 0.07-2.21] higher scores for depressive symptoms. By contrast, we found no clear association between UMI and depressive symptoms (B 0.55, 95% CI -0.51 to 1.62) in men. Analysis including occurrence of major depression as the outcome were consistent with the pattern of association. CONCLUSION The discrepant association of RMI and UMI with mortality compared to depression suggests that the psychological burden of having experienced an MI contributes to the long-term risk of depression.
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Affiliation(s)
- O Jovanova
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - A I Luik
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - M J G Leening
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - R Noordam
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - N Aarts
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - A Hofman
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - O H Franco
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - A Dehghan
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - H Tiemeier
- Department of Epidemiology,Erasmus MC, University Medical Center Rotterdam,Rotterdam,The Netherlands
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Dehghan A, Leening MJ, Solouki AM, Boersma E, Deckers JW, van Herpen G, Heeringa J, Hofman A, Kors JA, Franco OH, Ikram MA, Witteman JC. Comparison of prognosis in unrecognized versus recognized myocardial infarction in men versus women >55 years of age (from the Rotterdam Study). Am J Cardiol 2014; 113:1-6. [PMID: 24216125 DOI: 10.1016/j.amjcard.2013.09.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2013] [Revised: 09/03/2013] [Accepted: 09/03/2013] [Indexed: 11/26/2022]
Abstract
Unrecognized myocardial infarction (MI) is frequent in the general population. Its prognosis is reported to be at least as unpropitious as that of recognized MI, particularly in men. However, contemporary data with long follow-up are lacking. The aims of this study were to investigate the long-term prognosis of unrecognized MI with respect to all-cause and cause-specific mortality and to investigate possible differences in prognosis by gender. In the population-based Rotterdam Study (2,672 men and 3,862 women), the presence of unrecognized MI and recognized MI was determined at baseline (1990 to 1993). The cohort was followed for nearly 2 decades for all-cause and cause-specific mortality. During 82,268 patient-years of follow-up (median 15.6 years) 3,412 patients died (1,300 from cardiovascular causes). Men and women with recognized and unrecognized MIs had increased total mortality rates compared with those without MIs. Hazard ratios (HRs) for men and women were 1.57 (95% confidence interval [CI] 1.36 to 1.81) and 1.89 (95% CI 1.56 to 2.30) for recognized MI and 1.72 (95% CI 1.43 to 2.07) and 1.36 (95% CI 1.14 to 1.61) for unrecognized MI. Unrecognized MI was associated with increased risks for cardiovascular mortality (men: HR 2.19, 95% CI 1.66 to 2.91; women: HR 1.36, 95% CI 1.03 to 1.81) and noncardiovascular mortality (men: HR 1.47, 95% CI 1.14 to 1.89; women: HR 1.39, 95% CI 1.10 to 1.75). In conclusion, the long-term prognosis of patients with unrecognized MIs is worse compared with those without MIs and applies not only to cardiovascular mortality but also to noncardiovascular mortality. In men, the prognosis is as unfavorable as that of patients with recognized MIs.
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Abstract
Cardiac disease, in particular coronary artery disease, is the leading cause of mortality in developed nations. Strokes can complicate cardiac disease - either as result of left ventricular dysfunction and associated thrombus formation or of therapy for the cardiac disease. Antiplatelet drugs and anticoagulants routinely used to treat cardiac disease increase the risk for hemorrhagic stroke.
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Affiliation(s)
- Moneera N Haque
- Division of Cardiology, Department of Medicine, Loyola University Chicago, Stritch School of Medicine, Chicago, IL, USA
| | - Robert S Dieter
- Division of Cardiology, Department of Medicine, Loyola University Chicago, Stritch School of Medicine, Chicago, IL, USA.
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12
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Krijthe BP, Leening MJ, Heeringa J, Kors JA, Hofman A, Franco OH, Witteman JC, Stricker BH. Unrecognized myocardial infarction and risk of atrial fibrillation: The Rotterdam Study. Int J Cardiol 2013; 168:1453-7. [DOI: 10.1016/j.ijcard.2012.12.057] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2012] [Revised: 11/16/2012] [Accepted: 12/24/2012] [Indexed: 11/15/2022]
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Abstract
As life expectancy lengthens, dementia is becoming a significant human condition in terms of its prevalence and cost to society worldwide. It is important in that context to understand the preventable and treatable causes of dementia. This article exposes the link between dementia and heart disease in all its forms, including coronary artery disease, myocardial infarction, atrial fibrillation, valvular disease, and heart failure. This article also explores the cardiovascular risk factors and emphasizes that several of them are preventable and treatable. In addition to medical therapies, the lifestyle changes that may be useful in retarding the onset of dementia are also summarized.
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Affiliation(s)
- B Ng Justin
- Departments of Neuroscience and Psychology, McGill University, Montreal, QC, Canada
| | - Michele Turek
- Division of Cardiology, The Ottawa Hospital, Ottawa, ON, Canada
- Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Antoine M Hakim
- Division of Neurology, The Ottawa Hospital, Ottawa, ON, Canada
- Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, The Ottawa Hospital, Ottawa, ON, Canada
- Canadian Stroke Network, Ottawa, ON, Canada
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14
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Levitan EB, Gamboa C, Safford MM, Rizk DV, Brown TM, Soliman EZ, Muntner P. Cardioprotective medication use and risk factor control among US adults with unrecognized myocardial infarction: the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Vasc Health Risk Manag 2013; 9:47-55. [PMID: 23404361 PMCID: PMC3569379 DOI: 10.2147/vhrm.s40265] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Individuals with unrecognized myocardial infarction (UMI) have similar risks for cardiovascular events and mortality as those with recognized myocardial infarction (RMI). The prevalence of cardioprotective medication use and blood pressure and low-density lipoprotein cholesterol control among individuals with UMI is unknown. METHODS Participants from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study who were recruited between May 2004 and October 2007 received baseline twelve-lead electrocardiograms (n = 21,036). Myocardial infarction (MI) status was characterized as no MI, UMI (electrocardiogram abnormalities consistent with MI without self-reported history; n = 949; 4.5%), and RMI (self-reported history of MI; n = 1574; 7.5%). RESULTS For participants with no MI, UMI, and RMI, prevalence of use was 38.4%, 44.4%, and 75.7% for aspirin; 18.0%, 25.8%, and 57.2% for beta blockers; 31.7%, 38.7%, and 55.0% for angiotensin converting enzyme inhibitors or angiotensin receptor blockers; and 28.1%, 33.9%, and 64.1% for statins, respectively. Participants with RMI were 35% more likely to have low-density lipoprotein cholesterol < 100 mg/dL than participants with UMI (prevalence ratio = 1.35, 95% confidence interval 1.19-1.52). Blood pressure control (,140/90 mmHg) was similar between RMI and UMI groups (prevalence ratio = 1.03, 95% confidence interval 0.93-1.13). CONCLUSION Although participants with UMI were somewhat more likely to use cardioprotective medications than those with no MI, they were less likely to use cardioprotective medications and to have controlled low-density lipoprotein cholesterol than participants with RMI. Increasing appropriate treatment and risk factor control among individuals with UMI may reduce risk of mortality and future cardiovascular events.
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Affiliation(s)
- Emily B Levitan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0022, USA.
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Bansal N. Clinically silent myocardial infarctions in the CKD community. Nephrol Dial Transplant 2012; 27:3387-91. [PMID: 22711518 DOI: 10.1093/ndt/gfs171] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
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Leening MJG, Kavousi M, Heeringa J, van Rooij FJA, Verkroost-van Heemst J, Deckers JW, Mattace-Raso FUS, Ziere G, Hofman A, Stricker BHC, Witteman JCM. Methods of data collection and definitions of cardiac outcomes in the Rotterdam Study. Eur J Epidemiol 2012; 27:173-85. [PMID: 22388767 PMCID: PMC3319884 DOI: 10.1007/s10654-012-9668-8] [Citation(s) in RCA: 180] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2011] [Accepted: 02/17/2012] [Indexed: 02/07/2023]
Abstract
The prevalence of cardiovascular diseases is rising. Therefore, adequate risk prediction and identification of its determinants is increasingly important. The Rotterdam Study is a prospective population-based cohort study ongoing since 1990 in the city of Rotterdam, The Netherlands. One of the main targets of the Rotterdam Study is to identify the determinants and prognosis of cardiovascular diseases. Case finding in epidemiological studies is strongly depending on various sources of follow-up and clear outcome definitions. The sources used for collection of data in the Rotterdam Study are diverse and the definitions of outcomes in the Rotterdam Study have changed due to the introduction of novel diagnostics and therapeutic interventions. This article gives the methods for data collection and the up-to-date definitions of the cardiac outcomes based on international guidelines, including the recently adopted cardiovascular disease mortality definitions. In all, detailed description of cardiac outcome definitions enhances the possibility to make comparisons with other studies in the field of cardiovascular research and may increase the strength of collaborations.
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Affiliation(s)
- Maarten J G Leening
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
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Barbier CE, Nylander R, Themudo R, Ahlström H, Lind L, Larsson EM, Bjerner T, Johansson L. Prevalence of unrecognized myocardial infarction detected with magnetic resonance imaging and its relationship to cerebral ischemic lesions in both sexes. J Am Coll Cardiol 2011; 58:1372-7. [PMID: 21920267 DOI: 10.1016/j.jacc.2011.06.028] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2010] [Revised: 04/26/2011] [Accepted: 06/07/2011] [Indexed: 10/17/2022]
Abstract
OBJECTIVES The purpose of this study was to investigate the prevalence of unrecognized myocardial infarction (UMI) detected with magnetic resonance imaging (MRI) and whether it is related to cerebral ischemic lesions on MRI in an elderly population-based cohort. BACKGROUND There is a correlation between stroke and recognized myocardial infarction (RMI) and between stroke and UMI detected with electrocardiography, whereas the prevalence of stroke in subjects with MRI-detected UMI is unknown. METHODS Cerebral MRI and cardiac late-enhancement MRI were performed on 394 randomly selected 75-year-old subjects (188 women, 206 men). Images were assessed for cerebral ischemic lesions and myocardial infarction (MI) scars. Medical records were scrutinized. Subjects with MI scars, with or without a hospital diagnosis of MI, were classified as RMI or UMI, respectively. RESULTS UMIs were found in 120 subjects (30%) and RMIs in 21 (5%). The prevalence of UMIs (p = 0.004) and RMIs (p = 0.02) was greater in men than in women. Men with RMI displayed an increased prevalence of cortical and lacunar cerebral infarctions, whereas women with UMI more frequently had cortical cerebral infarctions (p = 0.003). CONCLUSIONS MI scars are more frequent in men than in women at 75 years of age. The prevalence of RMI is related to that of cerebral infarctions.
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Alberts VP, Bos MJ, Koudstaal PJ, Hofman A, Witteman JCM, Stricker BHC, Breteler MMB. Heart failure and the risk of stroke: the Rotterdam Study. Eur J Epidemiol 2011; 25:807-12. [PMID: 21061046 PMCID: PMC2991556 DOI: 10.1007/s10654-010-9520-y] [Citation(s) in RCA: 77] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2010] [Accepted: 10/19/2010] [Indexed: 02/07/2023]
Abstract
Patients with heart failure used to have an increased risk of stroke, but this may have changed with current treatment regimens. We assessed the association between heart failure and the risk of stroke in a population-based cohort that was followed since 1990. The study uses the cohort of the Rotterdam Study and is based on 7,546 participants who at baseline (1990–1993) were aged 55 years or over and free from stroke. The associations between heart failure and risk of stroke were assessed using time-dependent Cox proportional hazards models, adjusted for cardiovascular risk factors (smoking, diabetes mellitus, BMI, ankle brachial index, blood pressure, atrial fibrillation, myocardial infarction and relevant medication). At baseline, 233 participants had heart failure. During an average follow-up time of 9.7 years, 1,014 persons developed heart failure, and 827 strokes (470 ischemic, 75 hemorrhagic, 282 unclassified) occurred. The risk of ischemic stroke was more than five-fold increased in the first month after diagnosis of heart failure (age and sex adjusted HR 5.79, 95% CI 2.15–15.62), but attenuated over time (age and sex adjusted HR 3.50 [95% CI 1.96–6.25] after 1–6 months and 0.83 [95% CI 0.53–1.29] after 0.5–6 years). Additional adjustment for cardiovascular risk factors only marginally attenuated these risks. In conclusion, the risk of ischemic stroke is strongly increased shortly after the diagnosis of heart failure but returns to normal within 6 months after onset of heart failure.
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Affiliation(s)
- V P Alberts
- Department of Epidemiology, Erasmus MC University Medical Center, Dr. Molewaterplein 50, PO Box 2040, 3000 CA Rotterdam, The Netherlands
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Kehl DW, Farzaneh-Far R, Na B, Whooley MA. Prognostic value of electrocardiographic detection of unrecognized myocardial infarction in persons with stable coronary artery disease: data from the Heart and Soul Study. Clin Res Cardiol 2010; 100:359-66. [PMID: 21103882 PMCID: PMC3062762 DOI: 10.1007/s00392-010-0255-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2010] [Accepted: 11/03/2010] [Indexed: 01/25/2023]
Abstract
Unrecognized myocardial infarction (MI) carries a poor prognosis in the general population, but its prognostic value is less clear in high-risk patients. We sought to determine whether Q waves on electrocardiogram (ECG), suggestive of unrecognized MI, predict cardiovascular events in patients with stable coronary artery disease (CAD), but without a prior history of MI. We studied 462 patients enrolled in the Heart and Soul Study with stable CAD but without a prior history of MI. All patients had baseline ECGs. The baseline prevalence of unrecognized myocardial infarction was 36%. After a mean of 6.3 years of follow-up, there were a total of 141 cardiovascular events. The presence of Q waves in any ECG lead territory predicted cardiovascular events before (unadjusted HR 1.41, 95% CI 1.01–1.97) and after adjustment for demographics, medical history, diastolic function, and ejection fraction (HR 1.55, 95% CI 1.06–2.26). This association was partly attenuated after adjustment for the presence of inducible ischemia at baseline (HR 1.43, 95% CI 0.96–2.12). When specific territories were analyzed separately, Q waves in anterior leads were predictive of cardiovascular events in both unadjusted and adjusted models (adjusted HR 1.85, 95% CI 1.14–3.00), and this association was partly attenuated after adjustment for inducible ischemia. In conclusion, in patients with CAD but no history of prior MI, the presence of any Q waves or anterior Q waves alone is independently predictive of adverse cardiovascular events.
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Affiliation(s)
- Devin W Kehl
- Department of Medicine, University of California-San Diego, CA, USA
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Lucas BP, Mendes de Leon CF, Prineas RJ, Bienias JL, Evans DA. Relation of cardiac ventricular repolarization and global cognitive performance in a community population. Am J Cardiol 2010; 106:1169-73. [PMID: 20920659 PMCID: PMC2955511 DOI: 10.1016/j.amjcard.2010.06.031] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2010] [Revised: 06/02/2010] [Accepted: 06/02/2010] [Indexed: 11/21/2022]
Abstract
Atherosclerosis is a risk factor for dementia. However, little is known about the association between cognitive performance and a widely used indicator of coronary heart disease, at rest electrocardiography. We identified 839 older residents (mean age 81 years, 58% black) from a geographically defined biracial community in Chicago, Illinois, who had undergone extensive cognitive performance testing and met the electrocardiographic eligibility criteria, including a QRS duration of < 120 ms. We then examined multivariate regression coefficients that described the associations between global cognitive performance and 4 novel descriptors of ventricular repolarization waveforms. All analyses were adjusted for age, gender, education, and race. The T wave nondipolar voltage had a significant association with global cognitive performance (p = 0.01), and this association largely remained after adjustment for cardiovascular disease risk factors (p = 0.03). In contrast, global cognitive performance was not significantly associated with the rate-adjusted QT interval, the voltage change from the beginning to end of the ST segment in lead V(5), or the spatial angle between the mean QRS and T wave vectors. In conclusion, the strengths of the associations varied between the novel electrocardiographic descriptors of ventricular repolarization and global cognitive performance. Nevertheless, the significant association observed with T wave nondipolar voltage suggests that the cardiac effects of heart disease are associated with cognitive declines.
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Affiliation(s)
- Brian P Lucas
- Department of Medicine, Cook County Hospital, Chicago, Illinois, USA.
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Morris JG, Duffis EJ, Fisher M. Cardiac workup of ischemic stroke: can we improve our diagnostic yield? Stroke 2009; 40:2893-8. [PMID: 19478214 DOI: 10.1161/strokeaha.109.551226] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE Discovering potential cardiac sources of stroke is an important part of the urgent evaluation of the ischemic stroke patient as it often impacts treatment decisions that are essential for determining secondary stroke prevention strategies, yet the optimal approach to the cardiac workup of an ischemic stroke patient is not known. METHODS A review of the literature concerning the utility of cardiac rhythm monitoring (ECG, telemetry, Holter monitors, and event recorders) and structural imaging (transthoracic and transesophageal echocardiography) was performed. RESULTS Data supporting a definitive, optimal, and cost-effective approach are lacking, though some data suggest that appropriate patient selection can improve the diagnostic and therapeutic yield of rhythm monitoring and echocardiography in the evaluation of stroke etiology. CONCLUSIONS Based on available data, an algorithmic approach for the evaluation of patients with acute ischemic cerebrovascular events that takes into account therapeutic and diagnostic yield as well as cost-efficiency is proposed.
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Affiliation(s)
- Jane G Morris
- Department of Neurology, University of Massachusetts Medical Center, 55 Lake Ave North, Worcester, MA 01655, USA.
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Ikram MA, van Oijen M, de Jong FJ, Kors JA, Koudstaal PJ, Hofman A, Witteman JC, Breteler MM. Unrecognized Myocardial Infarction in Relation to Risk of Dementia and Cerebral Small Vessel Disease. Stroke 2008; 39:1421-6. [DOI: 10.1161/strokeaha.107.501106] [Citation(s) in RCA: 75] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- M. Arfan Ikram
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Marieke van Oijen
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Frank Jan de Jong
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Jan A. Kors
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Peter J. Koudstaal
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Albert Hofman
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Jacqueline C.M. Witteman
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
| | - Monique M.B. Breteler
- From the Departments of Epidemiology & Biostatistics (M.A.I., M.v.O., F.J.d.J., A.H., J.C.M.W., M.M.B.B.), Neurology (M.A.I., M.v.O., F.J.d.J., P.J.K.), and Medical Informatics (J.A.K.), Erasmus MC University Medical Center, Erasmus, The Netherlands
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