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Viktorisson A, Buvarp D, Bäck M, Leosdottir M, von Euler M, Sunnerhagen KS. Cardiac rehabilitation and physical activity decrease the risk of stroke after acute myocardial infarction: A nationwide cohort study in Sweden. Ann Phys Rehabil Med 2025; 68:101971. [PMID: 40253981 DOI: 10.1016/j.rehab.2025.101971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Revised: 01/21/2025] [Accepted: 03/01/2025] [Indexed: 04/22/2025]
Abstract
BACKGROUND Stroke and acute myocardial infarction (AMI) rank among the leading causes of mortality. Physical activity and exercise are recommended as part of rehabilitation after AMI to prevent cardiovascular events, but the importance for stroke prevention has not been investigated using population-based data. OBJECTIVES To determine associations between participation in exercise-based cardiac rehabilitation (EBCR) and self-reported physical activity with the risk of total stroke, ischemic stroke, and intracerebral hemorrhage after AMI. METHODS This was a nationwide, double cohort study conducted across all coronary care units in Sweden between 2005 and 2020, combined with registered data from the general population. Participation in EBCR (24 physiotherapist-led sessions over 4 months) and self-reported physical activity were assessed at a median of 55 days (range 28-90) after hospital discharge. Stroke incidence was followed until death or censoring on December 31, 2021. RESULTS A total of 86,637 people with AMI (mean age 64.0, SD 9.0 years; 26 % female), and 259,911 (1:3) age, sex, and region of birth matched individuals from the general population were included. Participation in EBCR after AMI was associated with a lower risk of total stroke (adjusted hazard ratio, aHR 0.85; 95 % confidence interval, CI 0.80-0.91) compared to non-participants, as was ≥150 min of physical activity per week (aHR 0.79, 95 % CI 0.75-0.83). Those reporting physical activity 6 days per week after AMI did not have an increased risk of total stroke or ischemic stroke compared to the general population (aHR 1.03, 95 % CI 0.87-1.23; and aHR 1.17, 95 % CI 0.97-1.41), and were at lower risk of intracerebral hemorrhage (aHR 0.59, 95 % CI 0.35-0.98). CONCLUSIONS EBCR and higher levels of physical activity are associated with a decreased risk of stroke after AMI. Cardiac rehabilitation programs and regular and physical activity should be promoted after AMI to decrease the burden of stroke. Swedish Ethical Review Authority Registration number: 2021-03645.
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Affiliation(s)
- Adam Viktorisson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg SE 405 30, Sweden; Department of Rehabilitation Medicine, Sahlgrenska University Hospital, Gothenburg SE 413 45, Sweden.
| | - Dongni Buvarp
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg SE 405 30, Sweden; Department of Neurology, Sahlgrenska University Hospital, Gothenburg SE 413 45, Sweden
| | - Maria Bäck
- Department of Occupational Therapy and Physiotherapy, Sahlgrenska University Hospital, Gothenburg SE 413 45, Sweden; Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg SE 405 30, Sweden
| | - Margret Leosdottir
- Department of Cardiology, Skåne University Hospital, Malmö SE 205 02, Sweden; Department of Clinical Sciences Malmö, Lund University, Malmö, SE 205 02, Sweden
| | - Mia von Euler
- Faculty of Medicine and Health, Örebro University, Örebro, SE 701 82, Sweden
| | - Katharina S Sunnerhagen
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg SE 405 30, Sweden; Department of Rehabilitation Medicine, Sahlgrenska University Hospital, Gothenburg SE 413 45, Sweden
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Carella MC, Carulli E, Loizzi F, Quarta S, Freda A, Basile P, Amati F, Dicorato MM, Latorre MD, Naccarati ML, Lenoci CD, Cicco S, Pontone G, Forleo C, Guaricci AI, Ciccone MM, Santobuono VE. Intersections and Challenges in the Management of Acute Coronary Syndrome and Stroke: Pathophysiology, Treatment Dilemmas, and Integrated Prevention Strategies. J Clin Med 2025; 14:2354. [PMID: 40217803 PMCID: PMC11989927 DOI: 10.3390/jcm14072354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2025] [Revised: 03/16/2025] [Accepted: 03/24/2025] [Indexed: 04/14/2025] Open
Abstract
Acute coronary syndrome (ACS) and stroke are interconnected conditions that often share risk factors such as atherosclerosis, thrombosis, and systemic inflammation. When these events occur simultaneously, they present unique diagnostic and therapeutic challenges. This review explores the pathophysiological mechanisms linking ACS and stroke, including common pathways like plaque instability, cardioembolism, and endothelial dysfunction, while highlighting the distinct features of ischemic and hemorrhagic strokes. The manuscript provides an overview of diagnostic strategies, emphasizing the role of biomarkers, advanced neuroimaging, and risk stratification tools in guiding acute management. Furthermore, the review delves into treatment approach, emphasizing the need to balance reperfusion therapies for ACS with thrombolysis or thrombectomy for ischemic stroke while carefully managing the challenges posed by anticoagulation in cases complicated by bleeding. Long-term strategies for secondary prevention are examined, including antithrombotic regimens tailored to the dual risk of thrombosis and bleeding, as well as lipid-lowering and blood pressure management. Future perspectives highlight the potential of novel pharmacological agents, neuroprotective therapies, and AI-driven tools to enhance patient outcomes. This review underscores the importance of integrated, multidisciplinary care and identifies key areas for future research to optimize the management of these high-risk patients.
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Affiliation(s)
- Maria Cristina Carella
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Eugenio Carulli
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | | | - Simona Quarta
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Alessandra Freda
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Paolo Basile
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Fabio Amati
- Neurology Unit, Ospedale della Murgia “Fabio Perinei”, 70022 Altamura, Italy
| | - Marco Maria Dicorato
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Michele Davide Latorre
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Maria Ludovica Naccarati
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Cosimo Daniele Lenoci
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Sebastiano Cicco
- Unit of Internal Medicine “Guido Baccelli” and Unit of Hypertension “A.M. Pirrelli”, Department of Precision and Regenerative Medicine and Ionian Area—(DiMePRe-J), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy
| | - Gianluca Pontone
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20138 Milan, Italy
| | - Cinzia Forleo
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Andrea Igoren Guaricci
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Marco Matteo Ciccone
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
| | - Vincenzo Ezio Santobuono
- Cardiology Unit, Interdisciplinary Department of Medicine (DIM), University of Bari “Aldo Moro”, University Hospital Consortium Polyclinic of Bari, Piazza G. Cesare 11, 70124 Bari, Italy (P.B.); (M.M.D.); (C.D.L.); (C.F.); (M.M.C.); (V.E.S.)
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Ridha M, Zhang C, McCullough S, Viscoli CM, Sharma R, Kamel H, Merkler AE. Silent Myocardial Infarction and Risk of Stroke Recurrence: A Post Hoc Analysis of the IRIS Trial. J Am Heart Assoc 2025; 14:e037663. [PMID: 39921499 DOI: 10.1161/jaha.124.037663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Accepted: 09/16/2024] [Indexed: 02/10/2025]
Abstract
BACKGROUND Unrecognized or silent myocardial infarction (MI) detected on an ECG is associated with first-ever stroke, but the impact on stroke recurrence is unknown. We aimed to determine the association of silent MI with stroke recurrence in patients with a recent ischemic stroke. METHODS AND RESULTS Subjects from the IRIS (Insulin Resistance Intervention After Stroke) trial with an available ECG were included. Clinical MI was defined as a history of hospitalization for MI. Silent MI was defined as ECG evidence of MI in the absence of clinical MI. The primary outcome was recurrent stroke. Ischemic stroke and subtype were assessed as secondary outcomes. Multivariable Cox regression analysis adjusted for demographics, pioglitazone, and vascular risk factors was used to examine the association between MI and stroke recurrence. A total of 2282 participants met the inclusion criteria. Clinical and silent MI were identified in 161 (7.1%) and 94 (4.1%) subjects, respectively. Over the study period, 209 recurrent strokes occurred, with 191 classified as ischemic. In the fully adjusted model, silent MI was significantly associated with any stroke (hazard ratio [HR], 2.29 [95% CI, 1.34-3.90]) and ischemic stroke (HR, 2.09 [95% CI, 1.18-3.70]) recurrence. Clinical MI was associated with stroke recurrence in the unadjusted analysis but not in the fully adjusted model (HR, 1.31 [95% CI, 0.81-2.11]). Silent MI was not associated with potential cardioembolic subtypes (HR, 1.50 [95% CI, 0.70-3.22]). CONCLUSIONS Among patients with a recent ischemic stroke, silent MI was associated with stroke recurrence. Tailored prevention strategies in this population warrant future investigation. REGISTRATION URL: https://clinicaltrials.gov. Unique Identifier: NCT00091949.
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Affiliation(s)
- Mohamed Ridha
- Department of Neurology Ohio State University Columbus OH USA
| | - Cenai Zhang
- Department of Neurology Weill Cornell Medical Center New York NY USA
| | | | | | - Richa Sharma
- Department of Neurology Yale School of Medicine New Haven CT USA
| | - Hooman Kamel
- Department of Neurology Weill Cornell Medical Center New York NY USA
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Zhao F, Gidwani R, Wang MC, Chen L, Nianogo RA. Evaluation of the Soda Tax on Obesity and Diabetes in California: A Cost-Effectiveness Analysis. MDM Policy Pract 2025; 10:23814683241309669. [PMID: 39807274 PMCID: PMC11726502 DOI: 10.1177/23814683241309669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 11/15/2024] [Indexed: 01/16/2025] Open
Abstract
Introduction. Consumption of sugar-sweetened beverages (SSBs) contributes to weight gain, obesity, and diabetes. Soda tax has been proposed to reduce consumption of SSBs. What remains unclear is whether the soda tax has an effect on health and health care costs. We evaluated the cost-effectiveness of a 1-cent-per-ounce soda tax on obesity and diabetes in California. Methods. A microsimulation state-transition model was used to evaluate the cost-effectiveness of the soda tax. Health outcomes were measured in quality-adjusted life-years (QALYs). Health care costs were projected from 2015 to 2035. Results. In a simulated cohort of Californian adults, the soda tax policy prevented 2.28 million cases of overweight (95% confidence interval [CI] -0.06 to 6.63) and 0.49 million cases of obesity (95% CI -0.19 to 1.18). From the health care perspective, the incremental cost-effectiveness ratio of the soda tax was $124,839 dollars per QALY (95% CI -1,151,983 to 557,660). From the health care perspective, the soda tax policy was cost-effective 80% of the time in the probabilistic sensitivity analysis using a willingness-to-pay threshold of $100,000 per QALY. Conclusions. The 1-cent-per-ounce soda tax reduced the number of obesity cases, diabetes cases, and related complications. In addition, the soda tax policy implemented in California was cost-effective most of the time. Highlights Question: What remains unclear is whether the soda tax has an effect on health and health care costs.Findings: The 1-cent-per-ounce soda tax reduced the number of obesity cases, diabetes, and related complications. In addition, the soda tax policy brought large amounts of revenue.Meaning: This study provides additional evidence regarding the health care costs and cost-effectiveness related to the implementation of a soda tax.
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Affiliation(s)
- Fan Zhao
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Risha Gidwani
- Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
- RAND Corporation, Santa Monica, CA, USA
| | - May C. Wang
- Department of Community Health Science, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Roch A. Nianogo
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
- California Center for Population Research (CCPR), Los Angeles, California, USA
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Rodríguez-González E, Martínez-Legazpi P, Mombiela T, González-Mansilla A, Delgado-Montero A, Guzmán-De-Villoria JA, Díaz-Otero F, Prieto-Arévalo R, Juárez M, García Del Rey MDC, Fernández-García P, Flores Ó, Postigo A, Yotti R, García-Villalba M, Fernández-Avilés F, Del Álamo JC, Bermejo J. Stasis imaging predicts the risk of cardioembolic events related to acute myocardial infarction: the ISBITAMI study. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2025; 78:22-33. [PMID: 38729343 PMCID: PMC11543922 DOI: 10.1016/j.rec.2024.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 04/25/2024] [Indexed: 05/12/2024]
Abstract
INTRODUCTION AND OBJECTIVES In the setting of ST-segment elevation myocardial infarction (STEMI), imaging-based biomarkers could be useful for guiding oral anticoagulation to prevent cardioembolism. Our objective was to test the efficacy of intraventricular blood stasis imaging for predicting a composite primary endpoint of cardioembolic risk during the first 6 months after STEMI. METHODS We designed a prospective clinical study, Imaging Silent Brain Infarct in Acute Myocardial Infarction (ISBITAMI), including patients with a first STEMI, an ejection fraction ≤ 45% and without atrial fibrillation to assess the performance of stasis metrics to predict cardioembolism. Patients underwent ultrasound-based stasis imaging at enrollment followed by heart and brain magnetic resonance at 1-week and 6-month visits. From the stasis maps, we calculated the average residence time, RT, of blood inside the left ventricle and assessed its performance to predict the primary endpoint. The longitudinal strain of the 4 apical segments was quantified by speckle tracking. RESULTS A total of 66 patients were assigned to the primary endpoint. Of them, 17 patients had 1 or more events: 3 strokes, 5 silent brain infarctions, and 13 mural thromboses. No systemic embolisms were observed. RT (OR, 3.73; 95%CI, 1.75-7.9; P<.001) and apical strain (OR, 1.47; 95%CI, 1.13-1.92; P=.004) showed complementary prognostic value. The bivariate model showed a c-index=0.86 (95%CI, 0.73-0.95), a negative predictive value of 1.00 (95%CI, 0.94-1.00), and positive predictive value of 0.45 (95%CI, 0.37-0.77). The results were confirmed in a multiple imputation sensitivity analysis. Conventional ultrasound-based metrics were of limited predictive value. CONCLUSIONS In patients with STEMI and left ventricular systolic dysfunction in sinus rhythm, the risk of cardioembolism may be assessed by echocardiography by combining stasis and strain imaging. Registered at ClinicalTrials.gov (NCT02917213).
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Affiliation(s)
- Elena Rodríguez-González
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Pablo Martínez-Legazpi
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Departamento de Física Matemática y Fluidos, Facultad de Ciencias, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain.
| | - Teresa Mombiela
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Ana González-Mansilla
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Antonia Delgado-Montero
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Juan A Guzmán-De-Villoria
- Servicio de Radiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Fernando Díaz-Otero
- Servicio de Neurología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Raquel Prieto-Arévalo
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Miriam Juárez
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - María Del Carmen García Del Rey
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Pilar Fernández-García
- Servicio de Radiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Óscar Flores
- Departamento de Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Leganés, Madrid, Spain
| | - Andrea Postigo
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Raquel Yotti
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | | | - Francisco Fernández-Avilés
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Juan C Del Álamo
- Mechanical Engineering Department, Center for Cardiovascular Biology, Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, United States
| | - Javier Bermejo
- Servicio de Cardiología, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain
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Riaz J, Shafique H, Bin Arshad H, Shahzaib M, Noor A, Ahmad N, Ali RS, Rehman HU, Khan AS, Mehmood S, Riaz MH, Karamat A, Liaquat S, Khan TM. Predictors of Ischemic Stroke After Acute Coronary Syndrome: A Retrospective Analysis. Cureus 2024; 16:e68692. [PMID: 39371787 PMCID: PMC11452840 DOI: 10.7759/cureus.68692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/04/2024] [Indexed: 10/08/2024] Open
Abstract
Background Ischemic stroke (IS) is a fatal complication of acute coronary syndrome (ACS). Factors that speed up IS development after ACS are understudied, especially in developing countries like Pakistan. Thus, this study was designed to identify the potential risk factors of IS in patients with a preceding episode of ACS. Methodology This retrospective study was performed on 208 patients whose ACS and its consequent complications such as IS were managed in the cardiac and neurology units of Benazir Bhutto Hospital, Rawalpindi, from January 2022 to March 2023. Patients were enrolled via consecutive sampling and pre-defined inclusion and exclusion criteria. Before data collection, informed consent and ethical approval were obtained. Data were retrieved from the medical records of the patients. A self-structured proforma was applied to collect data. SPSS version 25 (IBM Corp., Armonk, NY, USA) was used for data analysis. The study variables between patients with and without IS were compared using descriptive and inferential statistics. The association between IS and its possible risk factors in patients who had previously experienced ACS was determined using multivariate logistic regression. Results Of the 208 enrolled patients, 24 (11.54%) had IS following ACS. Sedentary lifestyle (odds ratio (OR) = 3.099, 95% confidence interval (CI) = 1.025~4.219, p = 0.009), hypertension (OR = 3.060, 95% CI = 1.798~4.876, p = 0.002), diabetes mellitus (OR = 2.899, 95% CI = 1.126~4.112, p = 0.009), dyslipidemia (OR = 2.907, 95% CI = 1.332~4.254, p = 0.007), history of smoking (OR = 2.760, 95% CI = 1.234~4.122, p = 0.018), and non-adherence to ACS medication (OR = 2.966, 95% CI = 1.300~4.266, p = 0.030), were the risk factors of IS among patients with preceding ACS. Conclusions In the study population, the incidence of IS following ACS was significant. Sedentary lifestyle, hypertension, diabetes mellitus, dyslipidemia, smoking history, and non-compliance with ACS therapy all played a significant role in the development of IS in patients with prior ACS. Proper management of ACS and associated risk factors could lead to the prevention of serious complications such as IS.
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Affiliation(s)
- Javaria Riaz
- Medicine, Mohi-ud-Din Islamic Medical College, Mirpur, PAK
| | | | | | - Muhammad Shahzaib
- Internal Medicine, Tehsil Headquarter (THQ) Hospital Ahmedpur Sial, Jhang, PAK
| | | | - Nadeem Ahmad
- Cardiology, Allama Iqbal Medical College, Lahore, PAK
| | - Rana Shahzaib Ali
- Orthopaedic Surgery, Sheikh Zayed Medical College and Hospital, Rahim Yar Khan, PAK
| | - Haris Ur Rehman
- Internal Medicine, Rahbar Medical and Dental College, Lahore, PAK
| | | | - Sanwal Mehmood
- Internal Medicine, Allama Iqbal Medical College, Lahore, PAK
| | | | - Aimen Karamat
- Internal Medicine, Punjab Rangers Teaching Hospital, Lahore, PAK
| | - Sana Liaquat
- Orthopaedics, Sheikh Zayed Medical College and Hospital, Rahim Yar Khan, PAK
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Kauko A, Engler D, Niiranen T, Ortega-Alonso A, Schnabel RB. Increased risk of dementia differs across cardiovascular diseases and types of dementia - Data from a nationwide study. J Intern Med 2024; 295:196-205. [PMID: 37899293 DOI: 10.1111/joim.13733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
AIMS Dementia is a major health problem. Cardiovascular diseases (CVD) and risk factors are associated with incident dementia. However, whether there is an association among CVD, Alzheimer's disease (AD) and vascular dementia (VD) at the population level remains unclear. METHODS We analysed the association between CVD (heart failure [HF], atrial fibrillation [AF], myocardial infarction [MI], peripheral arterial disease, stroke and transient ischemic attack) and the incidence of dementia using nationwide FinnGen data of 218,192 individuals. The last follow-up information on dementia was available from October 2021. RESULTS The age at the end of the follow-up was 61.7 ± 17.1 years, and 53% were women. Overall, we observed 9701 (4.4%) dementia, 6323 (2.9%) AD and 1918 (0.7%) VD cases. Individuals with CVD had a higher risk of developing dementia than unexposed individuals. In the multivariable-adjusted Cox models, stroke was most strongly associated with dementia (hazard ratio [HR] 1.7, 95% confidence interval [CI] 1.6-1.8). CVD was more strongly associated with VD than with AD. Individuals with HF and MI had an increased risk of AD (HF: HR 1.11, 95% CI 1.04-1.19; MI: HR 1.10, 95% CI 1.02-1.18). AF was associated with VD (HR 1.58, 95% CI 1.42-1.77), but not with AD (HR 1.03, 95% CI 0.97-1.09). Clinical characteristics, such as diabetes, smoking and alcohol abuse, were associated with both types of dementia. CONCLUSION All major CVDs were associated with an increased risk of developing dementia, particularly VD. Therefore, CVD onset should prompt an assessment of cognitive decline and possible preventive measures.
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Affiliation(s)
- Anni Kauko
- Department of Internal Medicine, University of Turku, Turku, Finland
| | - Daniel Engler
- Department of Cardiology, University Heart and Vascular Centre Hamburg-Eppendorf, Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Teemu Niiranen
- Department of Internal Medicine, University of Turku, Turku, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Alfredo Ortega-Alonso
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Turku, Finland
- Neuroscience Center, University of Helsinki, Helsinki, Finland
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Renate B Schnabel
- Department of Cardiology, University Heart and Vascular Centre Hamburg-Eppendorf, Hamburg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
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8
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Messerli FH, Bangalore S, Mandrola JM. β blockers switched to first-line therapy in hypertension. Lancet 2023; 402:1802-1804. [PMID: 37844590 DOI: 10.1016/s0140-6736(23)01733-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 08/07/2023] [Accepted: 08/15/2023] [Indexed: 10/18/2023]
Abstract
In their recent guidelines, the European Society of Hypertension upgraded β blockers, putting them on equal footing with thiazide diuretics, renin-angiotensin system blockers (eg, angiotensin-converting enzyme inhibitors and angiotensin receptor blockers), and calcium channel blockers. The reason offered for upgrading β blockers was the observation that they are often used for many other clinical conditions commonly encountered with hypertension. This upgrade would allow for the treatment of two conditions with a single drug (a so-called twofer). In most current national and international hypertension guidelines, β blockers are only considered to be an alternative when there are specific indications. Compared with the other first-line antihypertensive drug classes, β blockers are significantly less effective in preventing stroke and cardiovascular mortality. To relegate β blockers to an inferiority status as previous guidelines have done was based on the evidence in aggregate, and still stands. No new evidence supports the switch of β blockers back to first-line therapy. We are concerned that this move might lead to widespread harm because of inferior stroke protection.
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Affiliation(s)
| | - Sripal Bangalore
- Leon H Charney Division of Cardiology, New York University School of Medicine, New York, NY, USA
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9
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Lönn A, Börjesson M, Hambraeus K, Ekblom Ö. Changes in Physical Activity and Incidence of Nonfatal Cardiovascular Events in 47 153 Survivors of Myocardial Infarction. J Am Heart Assoc 2023; 12:e030583. [PMID: 37804194 PMCID: PMC10757539 DOI: 10.1161/jaha.123.030583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 09/14/2023] [Indexed: 10/09/2023]
Abstract
Background The majority of patients survive the acute phase of myocardial infarction (MI) but have an increased risk of recurrent cardiovascular disease (CVD) events. To be regularly physically active or change activity level is associated with a lower risk of all-cause mortality. The objective was to explore to what extent physical activity (PA) levels or change in PA levels during the first year post-MI was associated with any recurrent nonfatal CVD events and specific CVD events (eg, MI, ischemic stroke, and vascular dementia). Methods and Results This cohort study among MI survivors was based on Swedish national registries between 2005 and 2020. PA levels were self-rated at 2 and 12 months post-MI, and patients were classified into remaining physically inactive, increasing, decreasing, or remaining active. A total of 6534 nonfatal CVD events occurred during 6 years of follow-up among the 47 153 included patients. In fully adjusted analyses, the risk of any nonfatal CVD event was lower (P<0.05) among patients remaining active (37%), increasing (22%), or decreasing (18%) PA level compared with remaining inactive. Compared with remaining inactive, the risk of recurring MI and stroke was lower (P>0.05) among remaining active (41% versus 52%, respectively), increasing (20% versus 35%, respectively), or decreasing PA level (24% versus 34%, respectively). For vascular dementia, patients remaining physically active had an 80% lower risk compared with remaining inactive (P<0.05). Conclusions Remaining physically active or change in PA levels during the first year post-MI was associated with a lower risk of recurrent nonfatal CVD events. This emphasizes the importance of supporting patients to continue to be or become physically active.
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Affiliation(s)
- Amanda Lönn
- Department of Physical Activity and HealthThe Swedish School of Sport and Health SciencesStockholmSweden
- Women’s Health and Allied Health Professionals Theme Medical Unit Occupational Therapy and PhysiotherapyKarolinska University HospitalStockholmSweden
| | - Mats Börjesson
- Center for Lifestyle Intervention, Department of MGAÖSahlgrenska University Hospital, Region of Västra GötalandGothenburgSweden
- Department of Molecular and Clinical Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | | | - Örjan Ekblom
- Department of Physical Activity and HealthThe Swedish School of Sport and Health SciencesStockholmSweden
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10
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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: 9] [Impact Index Per Article: 4.5] [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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11
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Hurskainen M, Tynkkynen J, Eskola M, Hernesniemi J. Incidence of stroke and mortality due to stroke after acute coronary syndrome. J Stroke Cerebrovasc Dis 2022; 31:106842. [DOI: 10.1016/j.jstrokecerebrovasdis.2022.106842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/05/2022] [Accepted: 10/03/2022] [Indexed: 11/21/2022] Open
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12
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Sundbøll J, Szépligeti SK, Szentkúti P, Adelborg K, Horváth-Puhó E, Pedersen L, Henderson VW, Sørensen HT. Risk of Parkinson Disease and Secondary Parkinsonism in Myocardial Infarction Survivors. J Am Heart Assoc 2022; 11:e022768. [PMID: 35170978 PMCID: PMC9075091 DOI: 10.1161/jaha.121.022768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background In addition to primary neurodegenerative processes, vascular disorders, such as stroke, can lead to parkinsonism. However, some cardiovascular risk factors, such as smoking and elevated cholesterol levels, are associated with reduced risk of Parkinson disease. We examined the risk of Parkinson disease and secondary parkinsonism in 1‐year survivors of myocardial infarction (MI). Methods and Results We conducted a nationwide population‐based matched cohort study using Danish medical registries from 1995 to 2016. We identified all patients with a first‐time MI diagnosis and sampled a sex‐, age‐, and calendar year–matched general population comparison cohort without MI. Cox regression analysis was used to compute adjusted hazard ratios (aHRs) for Parkinson disease and secondary parkinsonism, controlled for matching factors and adjusted for relevant comorbidities and socioeconomic factors. We identified 181 994 patients with MI and 909 970 matched comparison cohort members (median age, 71 years; 62% men). After 21 years of follow‐up, the cumulative incidence was 0.9% for Parkinson disease and 0.1% for secondary parkinsonism in the MI cohort. Compared with the general population cohort, MI was associated with a decreased risk of Parkinson disease (aHR, 0.80; 95% CI, 0.73–0.87) and secondary parkinsonism (aHR, 0.72; 95% CI, 0.54–0.94). Conclusions MI was associated with a 20% decreased risk of Parkinson disease and 28% decreased risk of secondary parkinsonism. Reduced risk may reflect an inverse relationship between cardiovascular risk factors and Parkinson disease.
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Affiliation(s)
- Jens Sundbøll
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.,Department of Cardiology Aarhus University Hospital Aarhus Denmark
| | | | - Péter Szentkúti
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark
| | - Kasper Adelborg
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark
| | | | - Lars Pedersen
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark
| | - Victor W Henderson
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.,Departments of Epidemiology and Population Health Stanford University Stanford CA.,Departments of Neurology and Neurological Sciences Stanford University Stanford CA
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology Aarhus University Hospital Aarhus Denmark.,Departments of Epidemiology and Population Health Stanford University Stanford CA.,Departments of Neurology and Neurological Sciences Stanford University Stanford CA
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13
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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 PMCID: PMC8356380 DOI: 10.1212/wnl.0000000000012249] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [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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14
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Inchai P, Tsai WC, Chiu LT, Kung PT. Incidence, risk, and associated risk factors of stroke among people with different disability types and severities: A national population-based cohort study in Taiwan. Disabil Health J 2021; 14:101165. [PMID: 34266788 DOI: 10.1016/j.dhjo.2021.101165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 06/24/2021] [Accepted: 06/28/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND The number of people with disabilities is increasing. People with disabilities are more likely to be physically inactive, which can lead to chronic diseases, including stroke. Stroke is a leading cause of illness and death worldwide, but little is known regarding stroke among people with disabilities. OBJECTIVE To evaluate the incidence density rate, relative risk, and associated risk factors of stroke and measure the risk of death due to stroke among people with disabilities in Taiwan. METHODS This retrospective cohort study used nationwide data from the National Health Insurance Research Database, National Disability Registry Database, and Cause of Death File. Incidence density rates of stroke were estimated as new cases per 1000 person-years. Cox proportional hazard models were used to estimate the relative risk of stroke, adjusted survival curves, and adjusted cumulative incidence curves. RESULTS A total of 670,630 people with disabilities were included in our analyses. The average person-years of observation was 9.43 ± 5.31, with a yearly rate of 16.72 new cases of stroke per 1000 person-years. The highest risk of stroke was found among people with balance disorder (hazard ratio [HR] = 2.27, 95% confidence interval [CI] = 2.00-2.57) and intractable epilepsy (HR = 1.85, 95% CI = 1.56-2.19). The highest risk of death due to stroke was found among people with dementia and multiple disabilities. CONCLUSIONS Stroke rates were higher among people with disabilities than among the general population, and certain disabilities were associated with a higher stroke risk and death rate.
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Affiliation(s)
- Puchong Inchai
- Graduate Institute of Public Health, College of Public Health, China Medical University, Taichung, Taiwan, ROC; Department of Health Services Administration, China Medical University, Taichung, Taiwan, ROC
| | - Wen-Chen Tsai
- Department of Health Services Administration, China Medical University, Taichung, Taiwan, ROC
| | - Li-Ting Chiu
- Department of Health Services Administration, China Medical University, Taichung, Taiwan, ROC
| | - Pei-Tseng Kung
- Department of Healthcare Administration, Asia University, Taichung, Taiwan, ROC; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan, ROC.
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15
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Singh S, Verma S. Letter: Protective Effects of Obstructive Sleep Apnea on Outcomes After Subarachnoid Hemorrhage: A Nationwide Analysis. Neurosurgery 2021; 88:E486-E487. [PMID: 33611571 DOI: 10.1093/neuros/nyab047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Simranjeet Singh
- Neurosurgery All India Institute of Medical Sciences New Delhi, India
| | - Satish Verma
- Neurosurgery All India Institute of Medical Sciences New Delhi, India
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16
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Merkler AE, Diaz I, Wu X, Murthy SB, Gialdini G, Navi BB, Yaghi S, Weinsaft JW, Okin PM, Safford MM, Iadecola C, Kamel H. Duration of Heightened Ischemic Stroke Risk After Acute Myocardial Infarction. J Am Heart Assoc 2019; 7:e010782. [PMID: 30571491 PMCID: PMC6404432 DOI: 10.1161/jaha.118.010782] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background The duration of heightened stroke risk after acute myocardial infarction (MI) remains uncertain. Methods and Results We performed a retrospective cohort study using claims between 2008 and 2015 from a nationally representative 5% sample of Medicare beneficiaries aged ≥66 years. Both acute MI and ischemic stroke were ascertained using previously validated International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM), diagnosis codes. To exclude periprocedural strokes from percutaneous coronary intervention, we did not count strokes occurring during an acute MI hospitalization. Patients were censored at the time of ischemic stroke, death, end of Medicare coverage, or September 30, 2015. We fit Cox regression models separately for the groups with and without acute MI to examine its association with ischemic stroke after adjustment for demographics, stroke risk factors, and Charlson comorbidities. We used the corresponding survival probabilities to compute the hazard ratio in each 4‐week interval after discharge. Confidence intervals were computed using the nonparametric bootstrap method. Among 1 746 476 eligible beneficiaries, 46 182 were hospitalized for acute MI and 80 466 for ischemic stroke. After adjustment for demographics, stroke risk factors, and Charlson comorbidities, the risk of ischemic stroke was highest in the first 4 weeks after discharge from the MI hospitalization (hazard ratio: 2.7; 95% confidence interval, 2.3–3.2), remained elevated during weeks 5 to 8 (hazard ratio: 2.0; 95% confidence interval, 1.6–2.4) and weeks 9 to 12 (hazard ratio: 1.6; 95% confidence interval, 1.3–2.0), and was no longer significantly elevated afterward. Conclusions Acute MI is associated with an elevated risk of ischemic stroke that appears to extend beyond the 1‐month window that is currently considered the at‐risk period.
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Affiliation(s)
- Alexander E Merkler
- 1 Clinical and Translational Neuroscience Unit Feil Family Brain and Mind Research Institute Weill Cornell Medical College New York NY.,2 Department of Neurology Weill Cornell Medical College New York NY
| | - Ivan Diaz
- 2 Department of Neurology Weill Cornell Medical College New York NY.,3 Department of Healthcare Policy and Research Weill Cornell Medical College New York NY
| | - Xian Wu
- 2 Department of Neurology Weill Cornell Medical College New York NY.,3 Department of Healthcare Policy and Research Weill Cornell Medical College New York NY
| | - Santosh B Murthy
- 1 Clinical and Translational Neuroscience Unit Feil Family Brain and Mind Research Institute Weill Cornell Medical College New York NY.,2 Department of Neurology Weill Cornell Medical College New York NY
| | - Gino Gialdini
- 2 Department of Neurology Weill Cornell Medical College New York NY
| | - Babak B Navi
- 1 Clinical and Translational Neuroscience Unit Feil Family Brain and Mind Research Institute Weill Cornell Medical College New York NY.,2 Department of Neurology Weill Cornell Medical College New York NY
| | - Shadi Yaghi
- 4 Department of Neurology Warren Alpert Medical School of Brown University Providence RI
| | | | - Peter M Okin
- 5 Department of Medicine Weill Cornell Medical College New York NY
| | - Monika M Safford
- 5 Department of Medicine Weill Cornell Medical College New York NY
| | - Costantino Iadecola
- 1 Clinical and Translational Neuroscience Unit Feil Family Brain and Mind Research Institute Weill Cornell Medical College New York NY.,2 Department of Neurology Weill Cornell Medical College New York NY
| | - Hooman Kamel
- 1 Clinical and Translational Neuroscience Unit Feil Family Brain and Mind Research Institute Weill Cornell Medical College New York NY.,2 Department of Neurology Weill Cornell Medical College New York NY
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17
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Evaluation of Cardiac Complications Following Hemorrhagic Stroke Using 5-Year Centers for Disease Control and Prevention (CDC) Database. J Clin Med 2018; 7:jcm7120519. [PMID: 30563186 PMCID: PMC6307079 DOI: 10.3390/jcm7120519] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 11/28/2018] [Accepted: 12/03/2018] [Indexed: 01/13/2023] Open
Abstract
Literature regarding cardiac deaths in hemorrhagic stroke patients is few. The aim of this study was to investigate the incidence and risk factors of cardiac death in hemorrhagic stroke patients. We used the multiple causes of death database from the Centers for Disease Control and Prevention Wide-ranging Online Data of the United States. We identified death certificates from 2006 to 2010 with hemorrhagic stroke (International Classification of Disease, Tenth Revision (ICD-10) code I60-62), or ischemic stroke (ICD-10 code I63), and evaluated the frequency and risk factors of reporting MI (ICD-10 code I20-25) or arrhythmias (ICD-10 code I44-45, I47-49) as the main cause of death in these populations. Over the five-year period, 224,359 death certificates that mentioned hemorrhagic stroke were identified, and the cause of death was MI in 8.95% and arrhythmia in 7.28% patients. With autopsy confirmation, the incidences of MI and arrhythmias in the hemorrhagic stroke group were still lower than the ischemic group. The odds ratio of reporting arrhythmias as a cause of death in hospitalized population was higher. A substantial percentage of hemorrhagic stroke patients had cardiac death. Greater efforts are needed to closely monitor high-risk groups such as females and the elderly.
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18
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Higher Risk of Vascular Dementia in Myocardial Infarction Survivors. Circulation 2018; 137:567-577. [DOI: 10.1161/circulationaha.117.029127] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 09/25/2017] [Indexed: 12/27/2022]
Abstract
Background:
Increased risk of dementia after myocardial infarction (MI) may be mediated by shared risk factors (eg, atherosclerosis) and post-MI stroke. We examined risk of dementia in 1-year survivors of MI.
Methods:
Using Danish medical registries, we conducted a nationwide population-based cohort study of all patients with first-time MI and a sex-, birth year–, and calendar year–matched general population comparison cohort without MI (1980–2012). Cox regression analysis was used to compute 1- to 35-year adjusted hazard ratios (aHRs) for dementia, controlled for matching factors and adjusted for comorbidities and socioeconomic status.
Results:
We identified 314 911 patients with MI and 1 573 193 matched comparison cohort members randomly sampled from the general population (median age, 70 years; 63% male). After 35 years of follow-up, the cumulative incidence of all-cause dementia in the MI cohort was 9% (2.8% for Alzheimer disease, 1.6% for vascular dementia, and 4.5% for other dementias). Compared with the general population cohort, MI was not associated with all-cause dementia (aHR, 1.01; 95% confidence interval [CI], 0.98–1.03). Risk of Alzheimer disease (aHR, 0.92; 95% CI, 0.88–0.95) and other dementias (aHR, 0.98; 95% CI, 0.95–1.01) also approximated unity. However, MI was associated with higher risk of vascular dementia (aHR, 1.35; 95% CI, 1.28–1.43), which was substantially strengthened for patients experiencing stroke after MI (aHR, 4.48; 95% CI, 3.29–6.12).
Conclusions:
MI was associated with higher risk of vascular dementia throughout follow-up, and this association was stronger in patients with stroke. The risk of Alzheimer disease and other dementias was not higher in patients with MI.
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