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Ozcan S, Donmez E, Coban E, Korkut E, Ziyrek M, Sahin I, Okuyan E. Role of Cardiac Risk Scores in Clinical Use to Predict Outcomes of Acute Ischemic Stroke. Neurol India 2023; 71:1197-1204. [PMID: 38174458 DOI: 10.4103/0028-3886.391383] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Introduction Acute coronary syndromes and ischemic stroke have similar risk factors. Risk scores help to identify disease severity in both diseases. We aimed to evaluate if HEART (History, ECG, Age, Risk factors, and Troponin) score could predict re-hospitalization, recurrent cardiac/cerebrovascular events risk, and mortality within 1-year follow-up in patients presenting with acute ischemic stroke. Methods Patients hospitalized with a diagnosis of acute ischemic stroke in our tertiary center between 2019 and 2021 were included in this retrospective study. CHA2DS2-VASc and HEART scores on admission were calculated. In-hospital, 1-month, and 1-year mortalities, as well as re-hospitalization due to recurrent ischemic (cardiac/cerebral), were defined as major adverse cardiac and cerebrovascular events (MACCE), and occurrence of MACCE was accepted as the primary endpoint of the study. Comparative statistical and regression analyses were obtained. Results A total of 297 patients were included. The mortality rate for 30 days was 7.4% and 1 year was 20.5%. HEART and CHA2DS2-VASc scores were found independent risk factors associated with the occurrence of MACCE. Patients who experienced MACCE had higher HEART and CHA2DS2-VASc scores. Meanwhile, HEART score had better prognostic accuracy than CHA2DS2-VASc score when a cutoff value of 3.5 was set, which is associated with 84.7% sensitivity and 75.2% specificity in the prediction of MACCE. Conclusion HEART score is effective in determining re-hospitalization and recurrent cerebral ischemic event risk as well as mortality within 30 days and 1 year in patients presenting with acute ischemic stroke. Thus, concomitant use of HEART and CHA2DS2-VASc scores may provide better characterization of worse prognosis in ischemic stroke patients with high sensitivity and specificity.
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Affiliation(s)
- Sevgi Ozcan
- Department of Cardiology, Bağcılar Training and Research Hospital, Bağcılar - İstanbul, Turkey
| | - Esra Donmez
- Department of Cardiology, Bağcılar Training and Research Hospital, Bağcılar - İstanbul, Turkey
| | - Eda Coban
- Department of Neurology, Bağcılar Training and Research Hospital, Bağcılar - İstanbul, Turkey
| | - Elif Korkut
- Department of Neurology, Bağcılar Training and Research Hospital, Bağcılar - İstanbul, Turkey
| | - Murat Ziyrek
- Department of Cardiology, Bağcılar Training and Research Hospital, Bağcılar - İstanbul, Turkey
| | - Irfan Sahin
- Department of Cardiology, Bağcılar Training and Research Hospital, Bağcılar - İstanbul, Turkey
| | - Ertuğrul Okuyan
- Department of Cardiology, Bağcılar Training and Research Hospital, Bağcılar - İstanbul, Turkey
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3
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Sundström J, Söderholm M, Söderberg S, Alfredsson L, Andersson M, Bellocco R, Björck M, Broberg P, Eriksson M, Eriksson M, Forsberg B, Fransson EI, Giedraitis V, Theorell-Haglöw J, Hallqvist J, Hansson PO, Heller S, Håkansson N, Ingelsson M, Janson C, Järvholm B, Khalili P, Knutsson A, Lager A, Lagerros YT, Larsson SC, Leander K, Leppert J, Lind L, Lindberg E, Magnusson C, Magnusson PKE, Malfert M, Michaëlsson K, Nilsson P, Olsson H, Pedersen NL, Pennlert J, Rosenblad A, Rosengren A, Torén K, Wanhainen A, Wolk A, Engström G, Svennblad B, Wiberg B. Risk factors for subarachnoid haemorrhage: a nationwide cohort of 950 000 adults. Int J Epidemiol 2020; 48:2018-2025. [PMID: 31363756 DOI: 10.1093/ije/dyz163] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/11/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Subarachnoid haemorrhage (SAH) is a devastating disease, with high mortality rate and substantial disability among survivors. Its causes are poorly understood. We aimed to investigate risk factors for SAH using a novel nationwide cohort consortium. METHODS We obtained individual participant data of 949 683 persons (330 334 women) between 25 and 90 years old, with no history of SAH at baseline, from 21 population-based cohorts. Outcomes were obtained from the Swedish Patient and Causes of Death Registries. RESULTS During 13 704 959 person-years of follow-up, 2659 cases of first-ever fatal or non-fatal SAH occurred, with an age-standardized incidence rate of 9.0 [95% confidence interval (CI) (7.4-10.6)/100 000 person-years] in men and 13.8 [(11.4-16.2)/100 000 person-years] in women. The incidence rate increased exponentially with higher age. In multivariable-adjusted Poisson models, marked sex interactions for current smoking and body mass index (BMI) were observed. Current smoking conferred a rate ratio (RR) of 2.24 (95% CI 1.95-2.57) in women and 1.62 (1.47-1.79) in men. One standard deviation higher BMI was associated with an RR of 0.86 (0.81-0.92) in women and 1.02 (0.96-1.08) in men. Higher blood pressure and lower education level were also associated with higher risk of SAH. CONCLUSIONS The risk of SAH is 45% higher in women than in men, with substantial sex differences in risk factor strengths. In particular, a markedly stronger adverse effect of smoking in women may motivate targeted public health initiatives.
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Affiliation(s)
- Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden.,George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | | | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine, Cardiovascular Epidemiology, Karolinska Institutet, Stockholm, Sweden
| | - Martin Andersson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Rino Bellocco
- Department of Statistics and Quantitative Methods, University of Milano-Biocca, Milan, Italy.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Martin Björck
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Per Broberg
- Department of Clinical Sciences, Cancer Epidemiology, Lund University, Lund, Sweden
| | - Maria Eriksson
- Department of Neurosurgery, Umeå University, Umeå, Sweden
| | - Marie Eriksson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.,Department of Statistics, Umeå University, Umeå, Sweden
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Eleonor I Fransson
- Department of Natural Science and Biomedicine, School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | | | - Johan Hallqvist
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Per-Olof Hansson
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy/ Sahlgrenska University Hospital, University of Gothenburg, Gothenburg, Sweden
| | - Susanne Heller
- Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Niclas Håkansson
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Christer Janson
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Bengt Järvholm
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Payam Khalili
- Department of Cardiology and Acute Internal Medicine, Central Hospital, Karlstad, Sweden
| | - Anders Knutsson
- Department of Health Sciences, Mid Sweden University, Ostersund, Sweden
| | - Anton Lager
- Centre for Epidemiology and Community Medicine, Stockholm County Council, Stockholm, Sweden.,Department of Public Health Sciences, Stockholm, Sweden
| | - Ylva Trolle Lagerros
- Clinical Epidemiology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Medicine, Karolinska University Hospital, Huddinge, Stockholm, Sweden
| | - Susanna C Larsson
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Cardiovascular Epidemiology, Karolinska Institutet, Stockholm, Sweden
| | - Jerzy Leppert
- Centre for Clinical Research Västerås, Västmanland Region, and Uppsala University, Västerås, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Eva Lindberg
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Cecilia Magnusson
- Centre for Epidemiology and Community Medicine, Stockholm County Council, Stockholm, Sweden.,Department of Public Health Sciences, Stockholm, Sweden
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mauricio Malfert
- Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Karl Michaëlsson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Peter Nilsson
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Håkan Olsson
- Department of Clinical Sciences, Cancer Epidemiology, Lund University, Lund, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Johanna Pennlert
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Andreas Rosenblad
- Centre for Clinical Research Västerås, Västmanland Region, and Uppsala University, Västerås, Sweden
| | - Annika Rosengren
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy/ Sahlgrenska University Hospital, University of Gothenburg, Gothenburg, Sweden
| | - Kjell Torén
- Section of Occupational and Environmental Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anders Wanhainen
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Alicja Wolk
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Bodil Svennblad
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Bernice Wiberg
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
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Lind L, Sundström J, Ärnlöv J, Lampa E. Impact of Aging on the Strength of Cardiovascular Risk Factors: A Longitudinal Study Over 40 Years. J Am Heart Assoc 2018; 7:JAHA.117.007061. [PMID: 29306895 PMCID: PMC5778963 DOI: 10.1161/jaha.117.007061] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Background The knowledge of the impact of cardiovascular risk factors at different ages has mainly been based on different studies performed at different ages. This study aimed to investigate the change in impact of traditional cardiovascular risk factors over the aging process in subjects followed for 4 decades. Methods and Results In the ULSAM (Uppsala Longitudinal Study of Adult Men) study, 2322 men originally investigated in 1970 to 1974 have been followed regarding cardiovascular diseases until the end of 2013. This cohort has been investigated physically at ages 50, 60, 70, 77, and 82 years regarding body mass index, low‐density lipoprotein‐ and high‐density lipoprotein‐cholesterol, triglycerides, systolic blood pressure and diastolic blood pressure, fasting glucose, and smoking. These data were used to model the interactions between risk factors and age regarding incident myocardial infarction (n=540), ischemic stroke (n=343), or heart failure (n=397). Significant interactions were observed between age and the set of traditional risk factors regarding all 3 outcomes (P<0.05 for all). Generally, a decline in the rate ratios was seen with aging for most risk factors, being most pronounced for body mass index regarding myocardial infarction and for systolic blood pressure regarding ischemic stroke and heart failure. However, low‐density lipoprotein‐cholesterol was significantly related to incident myocardial infarction, whereas both body mass index and fasting glucose were significantly related to incident heart failure also at a high age. Conclusions Using a longitudinal design in middle‐aged men spanning 4 decades showed that the impact of traditional cardiovascular risk factors generally declined with aging. However, some of the risk factors remained significantly associated with incident cardiovascular disease also at old age.
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Affiliation(s)
- Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden.,Uppsala Clinical Research Centre (UCR), Uppsala University, Uppsala, Sweden
| | - Johan Ärnlöv
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Erik Lampa
- Uppsala Clinical Research Centre (UCR), Uppsala University, Uppsala, Sweden
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Jiang B, Han X, Wang L, Dong Q. Prognosis of Early-Stage Continuous Electrocardiogram Abnormalities on Patients with Acute Ischemic Stroke. J Stroke Cerebrovasc Dis 2015; 24:1761-7. [PMID: 25939863 DOI: 10.1016/j.jstrokecerebrovasdis.2015.03.043] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2015] [Revised: 03/24/2015] [Accepted: 03/30/2015] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND To explore the effects of onset time of electrocardiogram (ECG) abnormalities at an early stage of acute ischemic stroke on patient prognosis. Cardiac dysfunction after stroke is a challenge for clinicians. This is a retrospective study of patients in the neurology departments of 23 hospitals in Shanghai and Wuhan, China. METHODS The medical records of 351 patients were compared. Chi-square, Kruskal-Wallis, Mann-Whitney U tests, and stratification compared subgroups. Logistic regressions analyzed factors associated with modified Rankin Scale (mRS) score. RESULTS ECG abnormalities occurred in 70.1% of patients at an early stage (most were within 48 hours of disease onset) at least once, whereas 45.9% of the patients had ECG abnormalities within 48 hours of onset and at 7 days after onset. The incidence of poor prognosis (mRS >1) was significantly higher in the patients with ECG abnormalities for both time points than that in those with normal ECGs (56.3% versus 32%, odds ratio = 2.166). Most patients demonstrated 1 to 2 ECG abnormalities, and very few patients had 3 or more. Increasing number of ECG abnormalities was mirrored by poorer prognosis. ECG abnormalities occurred within 48 hours and at the seventh day after onset of acute ischemic stroke; the abnormalities that appeared within 48 hours and were still found on the seventh day after onset of the disease were independent predictors of poor patient prognosis. CONCLUSIONS The incidence of abnormal ECGs was high in the patients with acute ischemic stroke, and the abnormal ECGs could appear at any stage of the disease.
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Affiliation(s)
- Beisi Jiang
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Xiang Han
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Liang Wang
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China.
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Affiliation(s)
- John M. Worthington
- From Northern Beaches Stroke Service and Department of Neurology, Liverpool Health Service, Liverpool, Sydney, Australia (J.M.W.); Department of Cardiology, Liverpool Health Service, Liverpool, Sydney, Australia (D.Y.L.); Centre for Research, Evidence Management and Surveillance, Division of Population Health, Sydney South West Area Health Service, NSW, Australia (M.G.); The University of New South Wales, Sydney, Australia (J.M.W., M.G., D.Y.L.)
| | - Melina Gattellari
- From Northern Beaches Stroke Service and Department of Neurology, Liverpool Health Service, Liverpool, Sydney, Australia (J.M.W.); Department of Cardiology, Liverpool Health Service, Liverpool, Sydney, Australia (D.Y.L.); Centre for Research, Evidence Management and Surveillance, Division of Population Health, Sydney South West Area Health Service, NSW, Australia (M.G.); The University of New South Wales, Sydney, Australia (J.M.W., M.G., D.Y.L.)
| | - Dominic Y. Leung
- From Northern Beaches Stroke Service and Department of Neurology, Liverpool Health Service, Liverpool, Sydney, Australia (J.M.W.); Department of Cardiology, Liverpool Health Service, Liverpool, Sydney, Australia (D.Y.L.); Centre for Research, Evidence Management and Surveillance, Division of Population Health, Sydney South West Area Health Service, NSW, Australia (M.G.); The University of New South Wales, Sydney, Australia (J.M.W., M.G., D.Y.L.)
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