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Section 2 - Clinical Epidemiology and Risk Factors

Published online by Cambridge University Press:  16 May 2019

Michael Brainin
Affiliation:
Donau-Universität Krems, Austria
Wolf-Dieter Heiss
Affiliation:
Universität zu Köln
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Publisher: Cambridge University Press
Print publication year: 2019

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References

References

MONICA Manual, Part 4, Section 2: Stroke event registration data component. 1999. https://thl.fi/publications/monica/manual/part4/iv-2.htm. Accessed June 23, 2018.Google Scholar
Feigin, VL, Lawes, CMM, Bennett, DA, Barker-Collo, SL, Parag, V. Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review. Lancet Neurol 2009; 8: 355–69.Google Scholar
Sacco, RL, Kasner, SE, Broderick, JP, et al. An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2013; 44: 2064–89.CrossRefGoogle ScholarPubMed
Bamford, J, Sandercock, P, Dennis, M, Burn, J, Warlow, C. Classification and natural history of clinically identifiable subtypes of cerebral infarction. Lancet 1991; 337: 1521–6.CrossRefGoogle ScholarPubMed
Adams, HP, Bendixen, BH, Kappelle, LJ, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke 1993; 24: 3541.CrossRefGoogle Scholar
GBD 2016. Causes of death collaborators. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1151–210.Google Scholar
Strong, K, Mathers, C, Bonita, R. Preventing stroke: saving lives around the world. Lancet Neurol 2007; 6: 182–7.Google Scholar
Beaglehole, R, Ebrahim, S, Reddy, S, et al. Prevention of chronic diseases: a call to action. Lancet 2007; 370: 2152–7.Google Scholar
Feigin, VL, Lawes, CMM, Bennett, DA, Anderson, CS. Stroke epidemiology: a review of population-based studies of incidence, prevalence, and case-fatality in the late 20th century. Lancet Neurol 2003; 2: 4353.Google Scholar
Johnston, SC, Mendis, S, Mathers, CD. Global variation in stroke burden and mortality: estimates from monitoring, surveillance, and modelling. Lancet Neurol 2009; 8: 345–54.Google Scholar
Feigin, VL, Norrving, B, Mensah, GA. Global burden of stroke. Circ Res 2017; 120: 439–48.Google Scholar
Global Burden of Disease Study 2016. DALYs and HALE collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1260–344.Google Scholar
Mathers, C, Fat, DM, Boerma, JT. The Global Burden of Disease: 2004 Update. Geneva: World Health Organization; 2008.Google Scholar
Feigin, VL, Krishnamurthi, RV, Parmar, P, et al. Update on the global burden of ischemic and hemorrhagic stroke in 1990–2013: the GBD 2013 Study. Neuroepidemiology 2015; 45: 161–76.Google Scholar
Sarti, C, Rastenyte, D, Cepaitis, Z, Tuomilehto, J. International trends in mortality from stroke, 1968 to 1994. Stroke 2000; 31: 1588–601.Google Scholar
Mirzaei, M, Truswell, AS, Arnett, K, et al. Cerebrovascular disease in 48 countries: secular trends in mortality 1950–2005. J Neurol Neurosurg Psychiatry 2012; 83: 138–45.Google Scholar
Sivenius, J, Tuomilehto, J, Immonen-Räihä, P, et al. Continuous 15-year decrease in incidence and mortality of stroke in Finland: the FINSTROKE study. Stroke 2004; 35: 420–5.Google Scholar
Meretoja, A, Kaste, M, Roine, RO, et al. Trends in treatment and outcome of stroke patients in Finland from 1999 to 2007. PERFECT Stroke, a nationwide register study. Ann Med 2011; 43(Suppl 1): S22–30.CrossRefGoogle ScholarPubMed
Liu, L, Ikeda, K, Yamori, Y. Changes in stroke mortality rates for 1950 to 1997: a great slowdown of decline trend in Japan. Stroke 2001; 32: 1745–9.Google Scholar
Feigin, VL, Mensah, GA, Norrving, B, Murray, CJL, Roth, GA, GBD 2013 Stroke Panel Experts Group. Atlas of the Global Burden of Stroke (1990–2013): the GBD 2013 Study. Neuroepidemiology 2015; 45: 230–6.Google Scholar
Global Burden of Disease Study 2013. Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015; 386: 743800.Google Scholar
Bonita, R, Broad, JB, Beaglehole, R. Changes in stroke incidence and case-fatality in Auckland, New Zealand, 1981–91. Lancet 1993; 342: 1470–3.Google Scholar
Derby, CA, Lapane, KL, Feldman, HA, Carleton, RA. Trends in validated cases of fatal and nonfatal stroke, stroke classification, and risk factors in southeastern New England, 1980 to 1991: data from the Pawtucket Heart Health Program. Stroke 2000; 31: 875–81.Google Scholar
Truelsen, T, Prescott, E, Grønbaek, M, Schnohr, P, Boysen, G. Trends in stroke incidence. The Copenhagen City Heart Study. Stroke 1997; 28: 1903–7.Google Scholar
Thorvaldsen, P, Asplund, K, Kuulasmaa, K, Rajakangas, AM, Schroll, M. Stroke incidence, case fatality, and mortality in the WHO MONICA project. World Health Organization monitoring trends and determinants in cardiovascular disease. Stroke 1995; 26: 361–7.Google Scholar
Feigin, VL, Wiebers, DO, Whisnant, JP, O'Fallon, WM. Stroke incidence and 30-day case-fatality rates in Novosibirsk, Russia, 1982 through 1992. Stroke 1995; 26: 924–9.Google Scholar
Kôrv, J, Roose, M, Kaasik, AE. Changed incidence and case-fatality rates of first-ever stroke between 1970 and 1993 in Tartu, Estonia. Stroke 1996; 27: 199203.Google Scholar
Hong, Y, Bots, ML, Pan, X, et al. Stroke incidence and mortality in rural and urban Shanghai from 1984 through 1991. Findings from a community-based registry. Stroke 1994; 25: 1165–9.Google Scholar
Budincevic, H, Tiu, C, Bereczki, D, et al. Management of ischemic stroke in Central and Eastern Europe. Int J Stroke 2015; 10(Suppl A100): 125–7.Google Scholar
Tsivgoulis, G, Patousi, A, Pikilidou, M, et al. Stroke incidence and outcomes in Northeastern Greece: the Evros Stroke Registry. Stroke 2018; 49: 288–95.Google Scholar
Powles, J, Kirov, P, Feschieva, N, Stanoev, M, Atanasova, V. Stroke in urban and rural populations in north-east Bulgaria: incidence and case fatality findings from a “hot pursuit” study. BMC Public Health 2002; 2: 24.CrossRefGoogle Scholar
Krishnamurthi, RV, Moran, AE, Feigin, VL, et al. Stroke prevalence, mortality and disability-adjusted life years in adults aged 20–64 years in 1990–2013: data from the Global Burden of Disease 2013 Study. Neuroepidemiology 2015; 45: 190202.Google Scholar
Langhorne, P, O'Donnell, MJ, Chin, SL, et al. Practice patterns and outcomes after stroke across countries at different economic levels (INTERSTROKE): an international observational study. Lancet 2018; 391: 2019–27.Google Scholar
Sarti, C, Stegmayr, B, Tolonen, H, et al. Are changes in mortality from stroke caused by changes in stroke event rates or case fatality? Results from the WHO MONICA Project. Stroke 2003; 34: 1833–40.Google Scholar
Asplund, K, Hulter Åsberg, K, Appelros, P, et al. The Riks-Stroke story: building a sustainable national register for quality assessment of stroke care. Int J Stroke 2011; 6: 99108.CrossRefGoogle ScholarPubMed
Tu, JV, Nardi, L, Fang, J, et al. National trends in rates of death and hospital admissions related to acute myocardial infarction, heart failure and stroke, 1994–2004. CMAJ 2009; 180: E118–25.CrossRefGoogle ScholarPubMed
Cadilhac, DA, Lannin, NA, Anderson, CS, et al. Protocol and pilot data for establishing the Australian Stroke Clinical Registry. Int J Stroke 2010; 5: 217–26.Google Scholar
Lannin, NA, Anderson, CS, Kim, J, et al. Treatment and outcomes of working aged adults with stroke: results from a national prospective registry. Neuroepidemiology 2017; 49: 113–20.Google Scholar
Kelly, PJ, Crispino, G, Sheehan, O, et al. Incidence, event rates, and early outcome of stroke in Dublin, Ireland: the North Dublin population stroke study. Stroke 2012; 43: 2042–7.Google Scholar
Rothwell, PM, Coull, AJ, Giles, MF, et al. Change in stroke incidence, mortality, case-fatality, severity, and risk factors in Oxfordshire, UK from 1981 to 2004 (Oxford Vascular Study). Lancet 2004; 363: 1925–33.Google Scholar
Heuschmann, PU, Grieve, AP, Toschke, AM, Rudd, AG, Wolfe, CDA. Ethnic group disparities in 10-year trends in stroke incidence and vascular risk factors: the South London Stroke Register (SLSR). Stroke 2008; 39: 2204–10.Google Scholar
Kulesh, SD, Filina, NA, Frantava, NM, et al. Incidence and case-fatality of stroke on the East border of the European Union: the Grodno Stroke Study. Stroke 2010; 41: 2726–30.Google Scholar
Guéniat, J, Brenière, C, Graber, M, et al. Increasing burden of stroke: the Dijon Stroke Registry (1987–2012). Neuroepidemiology 2018; 50: 4756.Google Scholar
Goldstein, LB, Adams, R, Alberts, MJ, et al. Primary prevention of ischemic stroke: a guideline from the American Heart Association/American Stroke Association Stroke Council: cosponsored by the Atherosclerotic Peripheral Vascular Disease Interdisciplinary Working Group; Cardiovascular Nursing Council; Clinical Cardiology Council; Nutrition, Physical Activity, and Metabolism Council; and the Quality of Care and Outcomes Research Interdisciplinary Working Group. Circulation 2006; 113: e873–923.Google Scholar
O'Donnell, MJ, Chin, SL, Rangarajan, S, et al. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study. Lancet 2016; 388: 761–75.Google Scholar
Price, AJ, Wright, FL, Green, J, et al. Differences in risk factors for 3 types of stroke: UK prospective study and meta-analyses. Neurology 2018; 90: e298–306.Google Scholar
Brown, RD, Whisnant, JP, Sicks, JD, O'Fallon, WM, Wiebers, DO. Stroke incidence, prevalence, and survival: secular trends in Rochester, Minnesota, through 1989. Stroke 1996; 27: 373–80.Google Scholar
Wolf, PA, D'Agostino, RB, O'Neal, MA, et al. Secular trends in stroke incidence and mortality. The Framingham Study. Stroke 1992; 23: 1551–5.Google Scholar
Barker-Collo, S, Bennett, DA, Krishnamurthi, RV, et al. Sex differences in stroke incidence, prevalence, mortality and disability-adjusted life years: results from the Global Burden of Disease Study 2013. Neuroepidemiology 2015; 45: 203–14.Google Scholar
Sacco, RL, Boden-Albala, B, Gan, R, et al. Stroke incidence among white, black, and Hispanic residents of an urban community: the Northern Manhattan Stroke Study. Am J Epidemiol 1998; 147: 259–68.Google Scholar
Reeves, MJ, Bushnell, CD, Howard, G, et al. Sex differences in stroke: epidemiology, clinical presentation, medical care, and outcomes. Lancet Neurol 2008; 7: 915–26.Google Scholar
Broderick, J, Brott, T, Kothari, R, et al. The Greater Cincinnati/Northern Kentucky Stroke Study: preliminary first-ever and total incidence rates of stroke among blacks. Stroke 1998; 29: 415–21.Google Scholar
Gorelick, PB. Cerebrovascular disease in African Americans. Stroke 1998; 29: 2656–64.Google Scholar
Howard, G, Anderson, R, Sorlie, P, et al. Ethnic differences in stroke mortality between non-Hispanic whites, Hispanic whites, and blacks. The National Longitudinal Mortality Study. Stroke 1994; 25: 2120–5.Google Scholar
Rosamond, WD, Folsom, AR, Chambless, LE, et al. Stroke incidence and survival among middle-aged adults: 9-year follow-up of the Atherosclerosis Risk in Communities (ARIC) cohort. Stroke 1999; 30: 736–43.Google Scholar
Ingall, T, Asplund, K, Mähönen, M, Bonita, R. A multinational comparison of subarachnoid hemorrhage epidemiology in the WHO MONICA stroke study. Stroke 2000; 31: 1054–61.Google Scholar
Welin, L, Svärdsudd, K, Wilhelmsen, L, Larsson, B, Tibblin, G. Analysis of risk factors for stroke in a cohort of men born in 1913. N Engl J Med 1987; 317: 521–6.Google Scholar
Kiely, DK, Wolf, PA, Cupples, LA, Beiser, AS, Myers, RH. Familial aggregation of stroke. The Framingham Study. Stroke 1993; 24: 1366–71.CrossRefGoogle ScholarPubMed
Jousilahti, P, Rastenyte, D, Tuomilehto, J, Sarti, C, Vartiainen, E. Parental history of cardiovascular disease and risk of stroke. A prospective follow-up of 14371 middle-aged men and women in Finland. Stroke 1997; 28: 1361–6.Google Scholar
Liao, D, Myers, R, Hunt, S, et al. Familial history of stroke and stroke risk. The Family Heart Study. Stroke 1997; 28: 1908–12.Google Scholar
Barker, DJP, Lackland, DT. Prenatal influences on stroke mortality in England and Wales. Stroke 2003; 34: 1598–602.Google Scholar
Eriksson, JG, Forsén, T, Tuomilehto, J, Osmond, C, Barker, DJ. Early growth, adult income, and risk of stroke. Stroke 2000; 31: 869–74.Google Scholar
Kulshreshtha, A, Vaccarino, V, Goyal, A, et al. Family history of stroke and cardiovascular health in a national cohort. J Stroke Cerebrovasc Dis 2015; 24: 447–54.Google Scholar
Tolonen, H, Mähönen, M, Asplund, K, et al. Do trends in population levels of blood pressure and other cardiovascular risk factors explain trends in stroke event rates? Comparisons of 15 populations in 9 countries within the WHO MONICA Stroke Project. World Health Organization monitoring of trends and determinants in cardiovascular disease. Stroke 2002; 33: 2367–75.Google Scholar
Rothwell, PM, Warlow, CP. Timing of TIAs preceding stroke: time window for prevention is very short. Neurology 2005; 64: 817–20.Google Scholar
Easton, JD, Saver, JL, Albers, GW, et al. Definition and evaluation of transient ischemic attack: a scientific statement for healthcare professionals from the American Heart Association/American Stroke Association Stroke Council; Council on Cardiovascular Surgery and Anesthesia; Council on Cardiovascular Radiology and Intervention; Council on Cardiovascular Nursing; and the Interdisciplinary Council on Peripheral Vascular Disease. The American Academy of Neurology affirms the value of this statement as an educational tool for neurologists. Stroke 2009; 40: 2276–93.Google Scholar
Coull, AJ, Rothwell, PM. Underestimation of the early risk of recurrent stroke: evidence of the need for a standard definition. Stroke 2004; 35: 1925–9.CrossRefGoogle ScholarPubMed
Rothwell, PM. Incidence, risk factors and prognosis of stroke and TIA: the need for high-quality, large-scale epidemiological studies and meta-analyses. Cerebrovasc Dis Basel Switz 2003; 16(Suppl 3): 210.Google Scholar
Johnston, SC, Gress, DR, Browner, WS, Sidney, S. Short-term prognosis after emergency department diagnosis of TIA. JAMA 2000; 284: 2901–6.Google Scholar
Lovett, JK, Dennis, MS, Sandercock, PAG, et al. Very early risk of stroke after a first transient ischemic attack. Stroke 2003; 34: e138–40.Google Scholar
Coull, AJ, Lovett, JK, Rothwell, PM, Oxford Vascular Study. Population based study of early risk of stroke after transient ischaemic attack or minor stroke: implications for public education and organisation of services. BMJ 2004; 328: 326.Google Scholar
Hill, MD, Yiannakoulias, N, Jeerakathil, T, et al. The high risk of stroke immediately after transient ischemic attack: a population-based study. Neurology 2004; 62: 2015–20.Google Scholar
Lisabeth, LD, Ireland, JK, Risser, JMH, et al. Stroke risk after transient ischemic attack in a population-based setting. Stroke 2004; 35: 1842–6.Google Scholar
Hankey, GJ, Slattery, JM, Warlow, CP. Transient ischaemic attacks: which patients are at high (and low) risk of serious vascular events? J Neurol Neurosurg Psychiatry 1992; 55: 640–52.Google Scholar
Amarenco, P, Lavallée, PC, Monteiro Tavares, L, et al. Five-year risk of stroke after TIA or minor ischemic stroke. N Engl J Med 2018; 378: 2182–90.Google Scholar
Hankey, GJ. Potential new risk factors for ischemic stroke: what is their potential? Stroke 2006; 37: 2181–8.Google Scholar
Kernan, WN, Viscoli, CM, Brass, LM, et al. The stroke prognosis instrument II (SPI-II): a clinical prediction instrument for patients with transient ischemia and nondisabling ischemic stroke. Stroke 2000; 31: 456–62.Google Scholar
Rothwell, PM, Mehta, Z, Howard, SC, Gutnikov, SA, Warlow, CP. Treating individuals 3: from subgroups to individuals: general principles and the example of carotid endarterectomy. Lancet 2005; 365: 256–65.Google Scholar
Rothwell, PM, Giles, MF, Flossmann, E, et al. A simple score (ABCD) to identify individuals at high early risk of stroke after transient ischaemic attack. Lancet 2005; 366: 2936.Google Scholar
Johnston, SC, Rothwell, PM, Nguyen-Huynh, MN, et al. Validation and refinement of scores to predict very early stroke risk after transient ischaemic attack. Lancet 2007; 369: 283–92.Google Scholar
Wardlaw, JM, Brazzelli, M, Chappell, FM, et al. ABCD2 score and secondary stroke prevention: meta-analysis and effect per 1,000 patients triaged. Neurology 2015; 85: 373–80.Google Scholar
Kelly, PJ, Albers, GW, Chatzikonstantinou, A, et al. Validation and comparison of imaging-based scores for prediction of early stroke risk after transient ischaemic attack: a pooled analysis of individual-patient data from cohort studies. Lancet Neurol 2016; 15: 1238–47.Google Scholar
Engelter, ST, Amort, M, Jax, F, et al. Optimizing the risk estimation after a transient ischaemic attack – the ABCDE⊕ score. Eur J Neurol 2012; 19: 5561.Google Scholar
Mayer, L, Ferrari, J, Krebs, S, et al. ABCD3-I score and the risk of early or 3-month stroke recurrence in tissue- and time-based definitions of TIA and minor stroke. J Neurol 2018; 265: 530–4.Google Scholar
Meschia, JF, Bushnell, C, Boden-Albala, B, et al. Guidelines for the primary prevention of stroke: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2014; 45: 3754–832.Google Scholar
National Institute for Health and Care Excellence (NICE). Cardiovascular disease: risk assessment and reduction, including lipid modification. www.nice.org.uk/guidance/cg181. Publication date: July 2014, last updated September 2016. Accessed November 5, 2018.Google Scholar
Karmali, KN, Persell, SD, Perel, P, et al. Risk scoring for the primary prevention of cardiovascular disease. Cochrane Database Syst Rev 2017; 3: CD006887.Google Scholar
Grover, SA, Lowensteyn, I, Esrey, KL, et al. Do doctors accurately assess coronary risk in their patients? Preliminary results of the coronary health assessment study. BMJ 1995; 310: 975–8.Google Scholar
Montgomery, AA, Fahey, T, MacKintosh, C, Sharp, DJ, Peters, TJ. Estimation of cardiovascular risk in hypertensive patients in primary care. Br J Gen Pract 2000; 50: 127–8.Google Scholar
Zhao, D, Liu, J, Xie, W, Qi, Y. Cardiovascular risk assessment: a global perspective. Nat Rev Cardiol 2015; 12: 301–11.CrossRefGoogle ScholarPubMed
Zhou, X-H, Wang, X, Duncan, A, Hu, G, Zheng, J. Statistical evaluation of adding multiple risk factors improves Framingham stroke risk score. BMC Med Res Methodol 2017; 17: 58.Google Scholar
Beswick, AD, Brindle, P, Fahey, T, Ebrahim, S. A systematic review of risk scoring methods and clinical decision aids used in the primary prevention of coronary heart disease (supplement). London: Royal College of General Practitioners (UK). www.ncbi.nlm.nih.gov/books/NBK55818. May 2008. Accessed June 23, 2018.Google Scholar
Wolf, PA, D'Agostino, RB, Belanger, AJ, Kannel, WB. Probability of stroke: a risk profile from the Framingham Study. Stroke 1991; 22: 312–18.Google Scholar
D'Agostino, RB, Wolf, PA, Belanger, AJ, Kannel, WB. Stroke risk profile: adjustment for antihypertensive medication. The Framingham Study. Stroke 1994; 25: 40–3.Google Scholar
Wang, TJ, Massaro, JM, Levy, D, et al. A risk score for predicting stroke or death in individuals with new-onset atrial fibrillation in the community: the Framingham Heart Study. JAMA 2003; 290: 1049–56.Google Scholar
Zhang, X-F, Attia, J, D'Este, C, Yu, X-H, Wu, X-G. A risk score predicted coronary heart disease and stroke in a Chinese cohort. J Clin Epidemiol 2005; 58: 951–8.Google Scholar
Lumley, T, Kronmal, RA, Cushman, M, Manolio, TA, Goldstein, S. A stroke prediction score in the elderly: validation and web-based application. J Clin Epidemiol 2002; 55: 129–36.Google Scholar
Gordon, WJ, Polansky, JM, Boscardin, WJ, Fung, KZ, Steinman, MA. Coronary risk assessment by point-based vs. equation-based Framingham models: significant implications for clinical care. J Gen Intern Med 2010; 25: 1145–51.Google Scholar
Flueckiger, P, Longstreth, W, Herrington, D, Yeboah, J. Revised Framingham stroke risk score, nontraditional risk markers, and incident stroke in a multiethnic cohort. Stroke 2018; 49: 363–9.Google Scholar
Framingham Risk of CHD. www.zunis.org/Framingham%20Risk%20of%20CHD2.htm. Accessed June 23, 2018.Google Scholar
QStroke. https://qstroke.org. Accessed June 23, 2018.Google Scholar
Parmar, P, Krishnamurthi, R, Ikram, MA, et al. The Stroke Riskometer(TM) App: validation of a data collection tool and stroke risk predictor. Int J Stroke 2015; 10: 231–44.Google Scholar
Feigin, VL, Norrving, B, Mensah, GA. Primary prevention of cardiovascular disease through population-wide motivational strategies: insights from using smartphones in stroke prevention. BMJ Glob Health 2016; 2: e000306.Google Scholar
Saaristo, T, Peltonen, M, Lindström, J, et al. Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify undetected type 2 diabetes, abnormal glucose tolerance and metabolic syndrome. Diab Vasc Dis Res 2005; 2: 6772.Google Scholar
Richards, A, Cheng, EM. Stroke risk calculators in the era of electronic health records linked to administrative databases. Stroke 2013; 44: 564–9.Google Scholar
Fang, MC, Go, AS, Chang, Y, et al. A new risk scheme to predict warfarin-associated hemorrhage: the ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) Study. J Am Coll Cardiol 2011; 58: 395401.Google Scholar
Whisnant, JP. Modeling of risk factors for ischemic stroke. The Willis Lecture. Stroke 1997; 28: 1840–4.Google Scholar
Casas, JP, Hingorani, AD, Bautista, LE, Sharma, P. Meta-analysis of genetic studies in ischemic stroke: thirty-two genes involving approximately 18,000 cases and 58,000 controls. Arch Neurol 2004; 61: 1652–61.Google Scholar
Markus, HS. Stroke genetics: prospects for personalized medicine. BMC Med 2012; 10: 11.Google Scholar

References

O'Donnell, MJ, Chin, SL, Rangarajan, S, et al. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study. Lancet 2016; 388: 761–75.CrossRefGoogle ScholarPubMed
Feigin, VL, Roth, GA, Naghavi, M, et al. Global burden of stroke and risk factors in 188 countries, during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet Neurol 2016; 15: 913–24.Google Scholar
Kurth, T, Moore, S, Gaziano, J, et al. Healthy lifestyle and the risk of stroke in women. Arch Intern Med 2006; 166: 1403–9.Google Scholar
Chiuve, SE, Rexrode, KM, Spiegelman, D, et al. Primary prevention of stroke by healthy lifestyle. Circulation 2008; 118: 947–54.Google Scholar
Zhang, Y, Tuomilehto, J, Jousilahti, P, et al. Lifestyle factors on the risks of ischemic and hemorrhagic stroke. Arch Intern Med 2011; 171: 1811–18.Google Scholar
Lv, J, Yu, C, Guo, Y, et al. Adherence to healthy lifestyle and cardiovascular diseases in the Chinese population. J Am Coll Cardiol 2017; 69: 1116–25.Google Scholar
Larsson, SC, Akesson, A, Wolk, A. Healthy diet and lifestyle and risk of stroke in a prospective cohort of women. Neurology 2014; 83: 1699–704.Google Scholar
Larsson, SC, Åkesson, A, Wolk, A. Primary prevention of stroke by a healthy lifestyle in a high-risk group. Neurology 2015; 84: 2224–8.Google Scholar
Feigin, VL, Norrving, B, Mensah, GA. Primary prevention of cardiovascular disease through population-wide motivational strategies: insights from using smartphones in stroke prevention. BMJ Glob Health 2017; 2: e000306.Google Scholar
Rogers, MA, Lemmen, K, Kramer, R, Mann, J, Chopra, V. Internet-delivered health interventions that work: systematic review of meta-analyses and evaluation of website availability. J Med Internet Res 2017; 19: e90.Google Scholar
Wolf, PA, D'Agostino, RB, Kannel, WB, Bonita, R, Belanger, AJ. Cigarette smoking as a risk factor for stroke. The Framingham Study. JAMA 1988; 259: 1025–9.Google Scholar
Kawachi, I, Colditz, GA, Stampfer, MJ, et al. Smoking cessation and decreased risk of stroke in women. JAMA 1993; 269: 232–6.Google Scholar
Honjo, K, Iso, H, Tsugane, S, et al. The effects of smoking and smoking cessation on mortality from cardiovascular disease among Japanese: pooled analysis of three large-scale cohort studies in Japan. Tob Control 2010; 19: 50–7.Google Scholar
Mons, U, Müezzinler, A, Gellert, C, et al. Impact of smoking and smoking cessation on cardiovascular events and mortality among older adults: meta-analysis of individual participant data from prospective cohort studies of the CHANCES consortium. BMJ 2015; 350: h1551.Google Scholar
Shinton, R, Beevers, G. Meta-analysis of relation between cigarette smoking and stroke. BMJ 1989; 298: 789–94.Google Scholar
Teunissen, LL, Rinkel, GJ, Algra, A, van Gijn, J. Risk factors for subarachnoid hemorrhage: a systematic review. Stroke 1996; 27: 544–9.Google Scholar
Ariesen, MJ, Claus, SP, Rinkel, GJ, Algra, A. Risk factors for intracerebral hemorrhage in the general population: a systematic review. Stroke 2003; 34: 2060–5.Google Scholar
Price, AJ, Wright, FL, Green, J, et al. Differences in risk factors for 3 types of stroke: UK prospective study and meta-analyses. Neurology 2018; 90: e298–306.Google Scholar
Howard, G, Wagenknecht, LE, Burke, GL, et al. Cigarette smoking and progression of atherosclerosis: the Atherosclerosis Risk in Communities (ARIC) Study. JAMA 1998; 279: 119–24.Google Scholar
Lee, PN, Forey, BA. Environmental tobacco smoke exposure and risk of stroke in nonsmokers: a review with meta-analysis. J Stroke Cerebrovasc Dis 2006; 15: 190201.Google Scholar
Håheim, LL, Holme, I, Hjermann, I, Leren, P. Smoking habits and risk of fatal stroke: 18 years follow up of the Oslo Study. J Epidemiol Community Health 1996; 50: 621–4.Google Scholar
WHO Collaborative Study of Cardiovascular Disease and Steroid Hormone Contraception. Ischemic stroke and combined oral contraceptives: results of an international, multicentre, case-control study. Lancet 1996; 348: 498505.Google Scholar
Stead, LF, Perera, R, Bullen, C, et al. Nicotine replacement therapy for smoking cessation. Cochrane Database Syst Rev 2012; 11: CD000146.Google Scholar
Hughes, JR, Stead, LF, Hartmann-Boyce, J, Cahill, K, Lancaster, T. Antidepressants for smoking cessation. Cochrane Database Syst Rev 2014; 1: CD000031.Google Scholar
Cahill, K, Lindson-Hawley, N, Thomas, KH, Fanshawe, TR, Lancaster, T. Nicotine receptor partial agonists for smoking cessation. Cochrane Database Sys Rev 2016; 5: CD006103.Google Scholar
Barth, J, Critchley, J, Bengel, J. Psychosocial interventions for smoking cessation in patients with coronary heart disease. Cochrane Database Syst Rev 2008; 1: CD006886.Google Scholar
Whittaker, R, McRobbie, H, Bullen, C, Rodgers, A, Gu, Y. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev 2016; 4: CD006611.Google Scholar
Taylor, GMJ, Dalili, MN, Semwal, M, et al. Internet-based interventions for smoking cessation. Cochrane Database Syst Rev 2017; 9: CD007078.Google Scholar
Larsson, SC, Wallin, A, Wolk, A, Markus, HS. Differing association of alcohol consumption with different stroke types: a systematic review and meta-analysis. BMC Med 2016; 14: 178.Google Scholar
de Lange, DW, Hijmering, ML, Lorsheyd, A, et al. Rapid intake of alcohol (binge drinking) inhibits platelet adhesion to fibrinogen under flow. Alcohol Clin Exp Res 2004; 28: 1562–8.Google Scholar
Truelsen, T, Gronbaek, M, Schnohr, P, Boysen, G. Intake of beer, wine, and spirits and risk of stroke: the Copenhagen city heart study. Stroke 1998; 29: 2467–72.Google Scholar
Hillbom, M, Numminen, H, Juvela, S. Recent heavy drinking of alcohol and embolic stroke. Stroke 1999; 30: 2307–12.Google Scholar
Guiraud, V, Amor, MB, Mas, JL, Touzé, E. Triggers of ischemic stroke: a systematic review. Stroke 2010; 41: 2669–77.Google Scholar
Wannamethee, SG, Shaper, AG. Patterns of alcohol intake and risk of stroke in middle-aged British men. Stroke 1996; 27: 1033–9.Google Scholar
Kiyohara, Y, Kato, I, Iwamoto, H, Nakayama, K, Fujishima, M. The impact of alcohol and hypertension on stroke incidence in a general Japanese population. The Hisayama Study. Stroke 1995; 26: 368–72.Google Scholar
Roerecke, M, Kaczorowski, J, Tobe, SW, et al. The effect of a reduction in alcohol consumption on blood pressure: a systematic review and meta-analysis. Lancet Public Health 2017; 2: e108–20.Google Scholar
Djoussé, L, Levy, D, Benjamin, EJ, et al. Long-term alcohol consumption and the risk of atrial fibrillation in the Framingham Study. Am J Cardiol 2004; 93: 710–13.Google Scholar
Kurth, T, Gaziano, J, Berger, K, et al. Body mass index and the risk of stroke in men. Arch Intern Med 2002; 162: 2557–62.Google Scholar
Jood, K, Jern, C, Wilhelmsen, L, Rosengren, A. Body mass index in mid-life is associated with a first stroke in men: a prospective population study over 28 years. Stroke 2004; 35: 2764–9.Google Scholar
Kurth, T, Gaziano, J, Rexrode, K, et al. Prospective study of body mass index and risk of stroke in apparently healthy women. Circulation 2005; 111: 1992–8.Google Scholar
Kroll, ME, Green, J, Beral, V, et al. Adiposity and ischemic and hemorrhagic stroke: prospective study in women and meta-analysis. Neurology 2016; 87: 1473–81.Google Scholar
Hu, G, Tuomilehto, J, Silventoinen, K, et al. Body mass index, waist circumference, and waist-hip ratio on the risk of total and type-specific stroke. Arch Intern Med 2007; 167: 1420–7.Google Scholar
Song, YM, Sung, J, Davey Smith, G, Ebrahim, S. Body mass index and ischemic and hemorrhagic stroke: a prospective study in Korean men. Stroke 2004; 35: 831–6.Google Scholar
Emerging Risk Factors Collaboration, Wormser, D, Kaptoge, S, et al. Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies. Lancet 2011; 377: 1085–95.Google Scholar
Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects), Lu, Y, Hajifathalian, K, et al. Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1·8 million participants. Lancet 2014; 383: 970–83.Google Scholar
Neter, J, Stam, B, Kok, F, Grobbee, D, Geleijnse, J. Influence of weight reduction on blood pressure a meta-analysis of randomized controlled trials. Hypertension 2003; 42: 878–84.Google Scholar
Look AHEAD Research Group. Prospective association of a genetic risk score and lifestyle intervention with cardiovascular morbidity and mortality among individuals with type 2 diabetes: the Look AHEAD randomised controlled trial. Diabetologia 2015; 58: 1803–13.Google Scholar
Shaw, K, Gennat, H, O'Rourke, P, Del Mar, C. Exercise for overweight or obesity. Cochrane Database Syst Rev 2006; 4: CD003817.Google Scholar
Li, J, Siegrist, J. Physical activity and risk of cardiovascular disease – a meta-analysis of prospective cohort studies. Int J Environ Res Public Health 2012; 9: 391407.Google Scholar
Wahid, A, Manek, N, Nichols, M, et al. Quantifying the association between physical activity and cardiovascular disease and diabetes: a systematic review and meta-analysis. J Am Heart Assoc 2016; 5: e002495.Google Scholar
Kyu, HH, Bachman, VF, Alexander, LT, et al. Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013. BMJ 2016; 354: i3857.Google Scholar
Lee, C, Folsom, A, Blair, S. Physical activity and stroke risk: a meta-analysis. Stroke 2003; 34: 2475–81.Google Scholar
Kubota, Y, Iso, H, Yamagishi, K, et al. Daily total physical activity and incident stroke: the Japan Public Health Center-Based Prospective Study. Stroke 2017; 48: 1730–6.Google Scholar
Bennett, DA, Du, H, Clarke, R, et al. Association of physical activity with risk of major cardiovascular diseases in Chinese men and women. JAMA Cardiol 2017; 2: 1349–58.Google Scholar
Wendel-Vos, GC, Schuit, AJ, Feskens, EJ, et al. Physical activity and stroke: a meta-analysis of observational data. Int J Epidemiol 2004; 33: 787–98.Google Scholar
Hu, G, Sarti, C, Jousilahti, P, et al. Leisure time, occupational, and commuting physical activity and the risk of stroke. Stroke 2005; 36: 1994–9.Google Scholar
Gong, J, Xu, Y, Chen, X, et al. Persistent effect at 30-month post intervention of a community-based randomized trial of KM2H(2) in reducing stroke and heart attack among senior hypertensive patients. Int J Behav Nutr Phys Act 2018; 15: 1.Google Scholar
Arija, V, Villalobos, F, Pedret, R, et al. Effectiveness of a physical activity program on cardiovascular disease risk in adult primary health-care users: the “Pas-a-Pas” community intervention trial. BMC Public Health 2017; 17: 576.Google Scholar
Newman, AB, Dodson, JA, Church, TS, et al. Cardiovascular events in a physical activity intervention compared with a successful aging intervention: the LIFE Study Randomized Trial. JAMA Cardiol 2016; 1: 568–74.Google Scholar
Jørgensen, T, Jacobsen, RK, Toft, U, et al. Effect of screening and lifestyle counselling on incidence of ischaemic heart disease in general population: Inter99 randomised trial. BMJ 2014; 348: g3617.Google Scholar
Cornelissen, VA, Smart, NA. Exercise training for blood pressure: a systematic review and meta-analysis. J Am Heart Assoc 2013; 2: e004473.Google Scholar
Carlsson, AC, Ärnlöv, J, Sundström, J, et al. Physical activity, obesity and risk of cardiovascular disease in middle-aged men during a median of 30 years of follow-up. Eur J Prev Cardiol 2016; 23: 359–65.Google Scholar
Ding, EL, Mozaffarian, D. Optimal dietary habits for the prevention of stroke. Semin Neurol 2006; 26: 1123.Google Scholar
Hankey, GJ. The role of nutrition in the risk and burden of stroke: an update of the evidence. Stroke 2017; 48: 3168–74.Google Scholar
Aune, D, Giovannucci, E, Boffetta, P, et al. Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality – a systematic review and dose-response meta-analysis of prospective studies. Int J Epidemiol 2017; 46: 1029–56.Google Scholar
Miller, V, Mente, A, Dehghan, M, et al. Fruit, vegetable, and legume intake, and cardiovascular disease and deaths in 18 countries (PURE): a prospective cohort study. Lancet 2017; 390: 2037–49.Google Scholar
Aune, D, Keum, N, Giovannucci, E, et al. Whole grain consumption and risk of cardiovascular disease, cancer, and all cause and cause specific mortality: systematic review and dose-response meta-analysis of prospective studies. BMJ 2016; 353: i2716.Google Scholar
Chowdhury, R, Stevens, S, Gorman, D, et al. Association between fish consumption, long chain omega 3 fatty acids, and risk of cerebrovascular disease: systematic review and meta-analysis. BMJ 2012; 345: e6698.Google Scholar
Mozaffarian, D, Rimm, EB. Fish intake, contaminants, and human health: evaluating the risks and the benefits. JAMA 2006; 296: 1885–99.Google Scholar
Aburto, NJ, Ziolkovska, A, Hooper, L, et al. Effect of lower sodium intake on health: systematic review and meta-analyses. BMJ 2013; 346: f1326.Google Scholar
Adler, AJ, Taylor, F, Martin, N, et al. Reduced dietary salt for the prevention of cardiovascular disease. Cochrane Database Syst Rev 2014; 12: CD009217.Google Scholar
Graudal, NA, Hubeck-Graudal, T, Jurgens, G. Effects of low sodium diet versus high sodium diet on blood pressure, renin, aldosterone, catecholamines, cholesterol, and triglyceride. Cochrane Database Syst Rev 2017; 4: CD004022.Google Scholar
Sacks, FM, Svetkey, LP, Vollmer, WM, et al. Effects on blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. DASH-Sodium Collaborative Research Group. N Engl J Med 2001; 344: 310.Google Scholar
Vinceti, M, Filippini, T, Crippa, A, et al. Meta-analysis of potassium intake and the risk of stroke. J Am Heart Assoc 2016; 5: e004210.Google Scholar
Aburto, NJ, Hanson, S, Gutierrez, H, et al. Effect of increased potassium intake on cardiovascular risk factors and disease: systematic review and meta-analyses. BMJ 2013; 346: f1378.Google Scholar
Tian, DY, Tian, J, Shi, CH, et al. Calcium intake and the risk of stroke: an updated meta-analysis of prospective studies. Asia Pac J Clin Nutr 2015; 24: 245–52.Google Scholar
Larsson, SC, Orsini, N, Wolk, A. Dietary magnesium intake and risk of stroke: a meta-analysis of prospective studies. Am J Clin Nutr 2012; 95: 362–6.Google Scholar
Ding, M, Bhupathiraju, SN, Satija, A, van Dam, RM, Hu, FB. Long-term coffee consumption and risk of cardiovascular disease: a systematic review and a dose-response meta-analysis of prospective cohort studies. Circulation 2014; 129: 643–59.Google Scholar
Zhang, C, Qin, YY, Wei, X, et al. Tea consumption and risk of cardiovascular outcomes and total mortality: a systematic review and meta-analysis of prospective observational studies. Eur J Epidemiol 2015; 30: 103–13.Google Scholar
Yuan, S, Li, X, Jin, Y, Lu, J. Chocolate consumption and risk of coronary heart disease, stroke, and diabetes: a meta-analysis of prospective studies. Nutrients 2017; 9: e688.Google Scholar
Salehi-Abargouei, A, Maghsoudi, Z, Shirani, F, Azadbakht, L. Effects of Dietary Approaches to Stop Hypertension (DASH)-style diet on fatal or nonfatal cardiovascular diseases – incidence: a systematic review and meta-analysis on observational prospective studies. Nutrition 2013; 29: 611–18.Google Scholar
Rosato, V, Temple, NJ, La Vecchia, C, et al. Mediterranean diet and cardiovascular disease: a systematic review and meta-analysis of observational studies. Eur J Nutr 2017 (published online ahead of print November 25, 2017). https://link.springer.com/article/10.1007%2Fs00394-017-1582-0. Accessed February 3, 2018.Google Scholar
Liyanage, T, Ninomiya, T, Wang, A, et al. Effects of the Mediterranean diet on cardiovascular outcomes – a systematic review and meta-analysis. PLoS One 2016; 11: e0159252.Google Scholar
Estruch, R, Ros, E, Salas-Salvadó, J, et al. Primary prevention of cardiovascular disease with a Mediterranean diet. N Engl J Med 2013; 368: 1279–90.Google Scholar
Howard, B, Van Horn, L, Hsia, J, et al. Low-fat dietary pattern and risk of cardiovascular disease: the women's health initiative randomized controlled dietary modification trial. JAMA 2006; 295: 655–66.Google Scholar
Lisabeth, L, Bushnell, C. Stroke risk in women: the role of menopause and hormone therapy. Lancet Neurol 2012; 11: 8291.Google Scholar
Wassertheil-Smoller, S, Hendrix, SL, Limacher, M, et al. Effect of estrogen plus progestin on stroke in postmenopausal women: the Women's Health Initiative: a randomized trial. JAMA 2003; 289: 2673–84.Google Scholar
Gartlehner, G, Patel, SV, Feltner, C, et al. Hormone therapy for the primary prevention of chronic conditions in postmenopausal women: evidence report and systematic review for the US Preventive Services Task Force. JAMA 2017; 318: 2234–49.Google Scholar
Marjoribanks, J, Farquhar, C, Roberts, H, Lethaby, A, Lee, J. Long term hormone therapy for perimenopausal and postmenopausal women. Cochrane Database Syst Rev 2017; 1: CD004143.Google Scholar
Cuzick, J, Sestak, I, Bonanni, B, et al. Selective oestrogen receptor modulators in prevention of breast cancers: an updated meta-analysis of individual participant data. Lancet 2013; 381: 1827–34.Google Scholar
Barrett-Connor, E, Mosca, L, Collins, P, et al. Raloxifene Use for The Heart (RUTH) Trial Investigators. Effects of raloxifene on cardiovascular events and breast cancer in postmenopausal women. N Engl J Med 2006; 355: 125–37.Google Scholar
Bushnell, CD, Goldstein, LB. Risk of ischemic stroke with tamoxifen treatment for breast cancer: a meta-analysis. Neurology 2004; 63: 1230–3.Google Scholar
Cummings, SR, Ensrud, K, Delmas, PD, et al. Lasofoxifene in postmenopausal women with osteoporosis. N Engl J Med 2010; 362: 686–96.Google Scholar
Lewington, S, Clarke, R, Qizilbash, N, Peto, R, Collins, R. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet 2002; 360: 1903–13.Google Scholar
Lawes, CM, Bennett, DA, Feigin, VL, Rodgers, A. Blood pressure and stroke: an overview of published reviews. Stroke 2004; 35: 1024.Google Scholar
Ettehad, D, Emdin, CA, Kiran, A, et al. Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis. Lancet 2016; 387: 957–67.Google Scholar
Reboussin, DM, Allen, NB, Griswold, ME, et al. Systematic Review for the 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2017; 71: e116–35.Google Scholar
Lonn, EM, Bosch, J, López-Jaramillo, P, et al. Blood-pressure lowering in intermediate-risk persons without cardiovascular disease. N Engl J Med 2016; 374: 2009–20.Google Scholar
Whelton, PK, Carey, RM, Aronow, WS, et al. ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2017; 71: e127–248.Google Scholar
Staessen, J, Fagard, R, Thijs, L, et al. Randomised double-blind comparison of placebo and active treatment for older patients with isolated systolic hypertension. The systolic hypertension in Europe (syst-eur) trial investigators. Lancet 1997; 350: 757–64.Google Scholar
Weiss, J, Freeman, M, Low, A, et al. Benefits and harms of intensive blood pressure treatment in adults aged 60 years or older: a systematic review and meta-analysis. Ann Intern Med 2017; 166: 419–29.Google Scholar
Beckett, NS, Peters, R, Fletcher, AE, et al. Treatment of hypertension in patients 80 years of age or older. N Engl J Med 2008; 358: 1887–98.Google Scholar
Emerging Risk Factors Collaboration, Sarwar, N, Gao, P, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet 2010; 375: 2215–22.Google Scholar
Zhang, C, Zhou, YH, Xu, CL, Chi, FL, Ju, HN. Efficacy of intensive control of glucose in stroke prevention: a meta-analysis of data from 59,197 participants in 9 randomized controlled trials. PLoS One 2013; 8: e54465.Google Scholar
Griffin, SJ, Leaver, JK, Irving, GJ. Impact of metformin on cardiovascular disease: a meta-analysis of randomised trials among people with type 2 diabetes. Diabetologia 2017; 60: 1620–9.Google Scholar
Castilla-Guerra, L, Fernandez-Moreno, MDC, Leon-Jimenez, D, Carmona-Nimo, E. Antidiabetic drugs and stroke risk. Current evidence. Eur J Intern Med 2018; 48: 15.Google Scholar
Newman, JD, Schwartzbard, AZ, Weintraub, HS, Goldberg, IJ, Berger, JS. Primary prevention of cardiovascular disease in diabetes mellitus. J Am Coll Cardiol 2017; 70: 883–93.Google Scholar
Look AHEAD Research Group, Wing, RR, Bolin, P, et al. Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes. N Engl J Med 2013; 369: 145–54.Google Scholar
UK Prospective Diabetes Study 27. Plasma lipids and lipoproteins at diagnosis of NIDDM by age and sex. Diabetes Care 1997; 20: 1683–7.Google Scholar
de Vries, FM, Denig, P, Pouwels, KB, Postma, MJ, Hak, E. Primary prevention of major cardiovascular and cerebrovascular events with statins in diabetic patients: a meta-analysis. Drugs 2012; 72: 2365–73.Google Scholar
Prospective studies collaboration. Cholesterol, diastolic blood pressure, and stroke: 13,000 strokes in 450,000 people in 45 prospective cohorts. Lancet 1995; 346: 1647–53.Google Scholar
Yaghi, S, Elkind, MS. Lipids and cerebrovascular disease: research and practice. Stroke 2015; 46: 3322–8.Google Scholar
Wang, X, Dong, Y, Qi, X, Huang, C, Hou, L. Cholesterol levels and risk of hemorrhagic stroke: a systematic review and meta-analysis. Stroke 2013; 44: 1833–9.Google Scholar
Prospective Studies Collaboration, Lewington, S, Whitlock, G, et al. Blood cholesterol and vascular mortality by age, sex, and blood pressure: a meta-analysis of individual data from 61 prospective studies with 55,000 vascular deaths. Lancet 2007; 370: 1829–39.Google Scholar
Collins, R, Reith, C, Emberson, J, et al. Interpretation of the evidence for the efficacy and safety of statin therapy. Lancet 2016; 388: 2532–61.Google Scholar
Chou, R, Dana, T, Blazina, I, Daeges, M, Jeanne, TL. Statins for prevention of cardiovascular disease in adults: evidence report and systematic review for the US Preventive Services Task Force. JAMA 2016; 316: 2008–24.Google Scholar
McKinney, JS, Kostis, WJ. Statin therapy and the risk of intracerebral hemorrhage: a meta-analysis of 31 randomized controlled trials. Stroke 2012; 43: 2149–56.Google Scholar
Mammen, AL, Amato, AA. Statin myopathy: a review of recent progress. Curr Opin Rheumatol 2010; 22: 644–50.Google Scholar
Mills, EJ, O'Regan, C, Eyawo, O, et al. Intensive statin therapy compared with moderate dosing for prevention of cardiovascular events: a meta-analysis of >40 000 patients. Eur Heart J 2011; 32: 1409–15.Google Scholar
Jakob, T, Nordmann, AJ, Schandelmaier, S, Ferreira-González, I, Briel, M. Fibrates for primary prevention of cardiovascular disease events. Cochrane Database Syst Rev 2016; 11: CD009753.Google Scholar
Schandelmaier, S, Briel, M, Saccilotto, R, et al. Niacin for primary and secondary prevention of cardiovascular events. Cochrane Database Syst Rev 2017; 6: CD009744.Google Scholar
Karatasakis, A, Danek, BA, Karacsonyi, J, et al. Effect of PCSK9 inhibitors on clinical outcomes in patients with hypercholesterolemia: a meta-analysis of 35 randomized controlled trials. J Am Heart Assoc 2017; 6: pii: e006910.Google Scholar
HPS3/TIMI55–REVEAL Collaborative Group, Bowman, L, Hopewell, JC, et al. Effects of anacetrapib in patients with atherosclerotic vascular disease. N Engl J Med 2017; 377: 1217–27.Google Scholar
Wolf, PA, Abbott, RD, Kannel, WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke 1991; 22: 983–8.Google Scholar
Go, AS, Hylek, EM, Phillips, KA, et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. JAMA 2001; 285: 2370–5.Google Scholar
Lamassa, M, Di Carlo, A, Pracucci, G, et al. Characteristics, outcome, and care of stroke associated with atrial fibrillation in Europe: data from a multicenter multinational hospital-based registry (The European Community Stroke Project). Stroke 2001; 32: 392–8.Google Scholar
Stroke Risk in Atrial Fibrillation Working Group. Independent predictors of stroke in patients with atrial fibrillation: a systematic review. Neurology 2007; 69: 546–54.Google Scholar
Stroke Risk in Atrial Fibrillation Working Group. Comparison of 12 risk stratification schemes to predict stroke in patients with nonvalvular atrial fibrillation. Stroke 2008; 39: 1901–10.Google Scholar
Kirchhof, P, Benussi, S, Kotecha, D, et al. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Eur Heart J 2016; 37: 2893–962.Google Scholar
Hart, RG, Pearce, LA, Aguilar, MI. Meta-analysis: antithrombotic therapy to prevent stroke in patients who have nonvalvular atrial fibrillation. Ann Intern Med 2007; 146: 857–67.Google Scholar
Connolly, SJ, Ezekowitz, MD, Yusuf, S, et al. Dabigatran versus warfarin in patients with atrial fibrillation. N Engl J Med 2009; 361: 1139–51.Google Scholar
Granger, CB, Alexander, JH, McMurray, JJ, et al. Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med 2011; 365: 981–92.Google Scholar
Patel, MR, Mahaffey, KW, Garg, J, et al. Rivaroxaban versus warfarin in nonvalvular atrial fibrillation. N Engl J Med 2011; 365: 883–91.Google Scholar
Giugliano, RP, Ruff, CT, Braunwald, E, et al. Edoxaban versus warfarin in patients with atrial fibrillation. N Engl J Med 2013; 369: 2093–104.Google Scholar
Ruff, CT, Giugliano, RP, Braunwald, E, et al. Comparison of the efficacy and safety of new oral anticoagulants with warfarin in patients with atrial fibrillation: a meta-analysis of randomised trials. Lancet 2014; 383: 955–62.Google Scholar
Rasmussen, LH, Larsen, TB, Graungaard, T, Skjøth, F, Lip, GY. Primary and secondary prevention with new oral anticoagulant drugs for stroke prevention in atrial fibrillation: indirect comparison analysis. BMJ 2012; 345: e7097.Google Scholar
Pollack, CV, Jr., Reilly, PA, Eikelboom, J, et al. Idarucizumab for dabigatran reversal. N Engl J Med 2015; 373: 511–20.Google Scholar
Connolly, SJ, Milling, TJ, Jr., Eikelboom, JW, et al. Andexanet alfa for acute major bleeding associated with factor Xa inhibitors. N Engl J Med 2016; 375: 1131–41.Google Scholar
Loke, YK, Brown, JW, Kwok, CS, Niruban, A, Myint, PK. Association of obstructive sleep apnea with risk of serious cardiovascular events: a systematic review and meta-analysis. Circ Cardiovasc Qual Outcomes 2012; 5: 720–8.Google Scholar
Somers, VK, White, DP, Amin, R, et al. Sleep apnea and cardiovascular disease: an American Heart Association/American College of Cardiology Foundation Scientific Statement from the American Heart Association Council for High Blood Pressure Research Professional Education Committee, Council on Clinical Cardiology, Stroke Council, and Council on Cardiovascular Nursing. In collaboration with the National Heart, Lung, and Blood Institute National Center on Sleep Disorders Research (National Institutes of Health). Circulation 2008; 118: 1080–111.Google Scholar
Pamidi, S, Tasali, E. Obstructive sleep apnea and type 2 diabetes: is there a link? Front Neurol 2012; 3: 126.Google Scholar
Thomasouli, MA, Brady, EM, Davies, MJ, Hall, AP, Khunti, K, Morris, DH, et al. The impact of diet and lifestyle management strategies for obstructive sleep apnoea in adults: a systematic review and meta-analysis of randomised controlled trials. Sleep Breath 2013; 17: 925–35.Google Scholar
Montesi, SB, Edwards, BA, Malhotra, A, Bakker, JP. The effect of continuous positive airway pressure treatment on blood pressure: a systematic review and meta-analysis of randomized controlled trials. J Clin Sleep Med 2012; 8: 587–96.Google Scholar
Abuzaid, AS, Al Ashry, HS, Elbadawi, A, et al. Meta-analysis of cardiovascular outcomes with continuous positive airway pressure therapy in patients with obstructive sleep apnea. Am J Cardiol 2017; 120: 693–9.Google Scholar
Lee, KK, Miller, MR, Shah, ASV. Air pollution and stroke. J Stroke 2018; 20: 211.Google Scholar
Solenkova, NV, Newman, JD, Berger, JS, et al. Metal pollutants and cardiovascular disease: mechanisms and consequences of exposure. Am Heart J 2014; 168: 812–22.Google Scholar
Shah, AS, Lee, KK, McAllister, DA, et al. Short term exposure to air pollution and stroke: systematic review and meta-analysis. BMJ 2015; 350: h1295.Google Scholar
Ljungman, PL, Mittleman, MA. Ambient air pollution and stroke. Stroke 2014; 45: 3734–41.Google Scholar
Noubiap, JJ, Essouma, M, Bigna, JJ. Targeting household air pollution for curbing the cardiovascular disease burden: a health priority in Sub-Saharan Africa. J Clin Hypertens (Greenwich) 2015; 17: 825–9.Google Scholar
Kim, C, Seow, WJ, Shu, XO, et al. Cooking coal use and all-cause and cause-specific mortality in a prospective cohort study of women in Shanghai, China. Environ Health Perspect 2016; 124: 1384–9.Google Scholar
Quansah, R, Semple, S, Ochieng, CA, et al. Effectiveness of interventions to reduce household air pollution and/or improve health in homes using solid fuel in low-and-middle income countries: a systematic review and meta-analysis. Environ Int 2017; 103: 7390.Google Scholar
Pope, D, Bruce, N, Dherani, M, Jagoe, K, Rehfuess, E. Real-life effectiveness of “improved” stoves and clean fuels in reducing PM(2.5) and CO: systematic review and meta-analysis. Environ Int 2017; 101: 718.Google Scholar
Elias, MF, Sullivan, LM, D'Agostino, RB, et al. Framingham stroke risk profile and lowered cognitive performance. Stroke 2004; 35: 404–9.Google Scholar
Joosten, H, van Eersel, MEA, Gansevoort, RT, et al. Cardiovascular risk profile and cognitive function in young, middle-aged, and elderly subjects. Stroke 2013; 44: 1543–9.Google Scholar

References

Krijthe, BP, Kunst, A, Benjamin, EJ, et al. Projections on the number of individuals with atrial fibrillation in the European Union, from 2000 to 2060. Eur Heart J 2013; 34: 2746–51.Google Scholar
Steger, C, Pratter, A, Martinek-Bregel, M, et al. Stroke patients with atrial fibrillation have a worse prognosis than patients without: data from the Austrian Stroke registry. Eur Heart J 2004; 25: 1734–40.Google Scholar
Sposato, LA, Cipriano, LE, Saposnik, G, et al. Diagnosis of atrial fibrillation after stroke and transient ischaemic attack: a systematic review and meta-analysis. Lancet Neurol 2015; 14: 377–87.Google Scholar
McIntyre, WF, Connolly, SJ, Healey, JS. Atrial fibrillation occurring transiently with stress. Curr Opin Cardiol 2017; 33: 5865.Google Scholar
Healey, JS, Alings, M, Ha, A, et al. Subclinical atrial fibrillation in older patients. Circulation 2017; 136: 1276–83.Google Scholar
Cerasuolo, JO, Cipriano, LE, Sposato, LA. The complexity of atrial fibrillation newly diagnosed after ischemic stroke and transient ischemic attack: advances and uncertainties. Curr Opin Neurol 2017; 30: 2837.Google Scholar
González Toledo, ME, Klein, FR, Riccio, PM, et al. Atrial fibrillation detected after acute ischemic stroke: evidence supporting the neurogenic hypothesis. J Stroke Cerebrovasc Dis 2013; 22: e48691.Google Scholar
Ruff, CT, Giugliano, RP, Braunwald, E, et al. Comparison of the efficacy and safety of new oral anticoagulants with warfarin in patients with atrial fibrillation: a meta-analysis of randomised trials. Lancet 2014; 383: 955–62.Google Scholar
Stöllberger, C. Drug interactions with new oral anticoagulants in elderly patients. Expert Rev Clin Pharmacol 2017; 10: 1191–202.Google Scholar
Stöllberger, C, Brooks, R, Finsterer, J, et al. Use of direct-acting oral anticoagulants in nonagenarians: a call for more data. Drugs Aging 2016; 33: 315–20.Google Scholar
Tzikas, A, Holmes, DR, Jr., Gafoor, S, et al. Percutaneous left atrial appendage occlusion: the Munich consensus document on definitions, endpoints and data collection requirements for clinical studies. EuroIntervention 2016; 12: 103–11.Google Scholar
Stöllberger, C, Chnupa, P, Kronik, G, et al. Transesophageal echocardiography to assess embolic risk in patients with atrial fibrillation. Ann Intern Med 1998; 128: 630–8.Google Scholar
Stöllberger, C, Schneider, B. Concerns about left atrial appendage occlusion. EuroIntervention 2017; 13: 1003–4.Google Scholar
Melkonian, M, Jarzebowski, W, Pautas, E, et al. Bleeding risk of antiplatelet drugs compared with oral anticoagulants in older patients with atrial fibrillation: a systematic review and meta-analysis. J Thromb Haemost 2017; 15: 1500–10.Google Scholar
Kapur, S, Barbhaiya, C, Deneke, T, et al. Esophageal injury and atrioesophageal fistula caused by ablation for atrial fibrillation. Circulation 2017; 136: 1247–55.Google Scholar
Arbelo, E, Brugada, J, Blomström-Lundqvist, C, et al. Contemporary management of patients undergoing atrial fibrillation ablation: in-hospital and 1-year follow-up findings from the ESC-EHRA atrial fibrillation ablation long-term registry. Eur Heart J 2017; 38: 1303–16.Google Scholar
Winkle, RA, Jarman, JW, Mead, RH, et al. Predicting atrial fibrillation ablation outcome: the CAAP-AF score. Heart Rhythm 2016; 13: 2119–25.Google Scholar
Hindricks, G, Piorkowski, C, Tanner, H, et al. Perception of atrial fibrillation before and after radiofrequency catheter ablation: relevance of asymptomatic arrhythmia recurrence. Circulation 2005; 112: 307–13.Google Scholar
Davies, A, Gunaruwan, P, Collins, N, et al. Persistent iatrogenic atrial septal defects after pulmonary vein isolation: long-term follow-up with contrast transesophageal echocardiography. J Interv Card Electrophysiol 2017; 48: 99103.Google Scholar
Hromádka, M, Seidlerová, J, Rohan, V, et al. Prolonged corrected QT interval as a predictor of clinical outcome in acute ischemic stroke. J Stroke Cerebrovasc Dis 2016; 25: 2911–17.Google Scholar
Hardie, K, Hankey, GJ, Jamrozik, K, et al. Ten-year survival after first-ever stroke in the Perth community stroke study. Stroke 2003; 34: 1842–6.Google Scholar
Jensen, JK, Kristensen, SR, Bak, S, et al. Frequency and significance of troponin T elevation in acute ischemic stroke. Am J Cardiol 2007; 99: 108–12.Google Scholar
Finsterer, J, Stöllberger, C, Krugluger, W. Cardiac and noncardiac, particularly neuromuscular, disease with troponin-T positivity. Neth J Med 2007; 65: 289–95.Google Scholar
Meurin, P, Brandao Carreira, V, Dumaine, R, et al. Incidence, diagnostic methods, and evolution of left ventricular thrombus in patients with anterior myocardial infarction and low left ventricular ejection fraction: a prospective multicenter study. Am Heart J 2015; 170: 256–62.Google Scholar
Silver, B, Behrouz, R, Silliman, S. Bacterial endocarditis and cerebrovascular disease. Curr Neurol Neurosci Rep 2016; 16: 104.Google Scholar
Knudsen, JB, Fuursted, K, Petersen, E, et al. Infective endocarditis: a continuous challenge. The recent experience of a European tertiary center. J Heart Valve Dis 2009; 18: 386–94.Google Scholar
Habib, G, Lancellotti, P, Antunes, MJ, et al. ESC Guidelines for the management of infective endocarditis: the Task Force for the Management of Infective Endocarditis of the European Society of Cardiology (ESC). Eur Heart J 2015; 36: 3075–128.Google Scholar
Ruel, M, Masters, RG, Rubens, FD, et al. Late incidence and determinants of stroke after aortic and mitral valve replacement. Ann Thorac Surg 2004; 78: 7784.Google Scholar
Russo, A, Grigioni, F, Avierinos, JF, et al. Thromboembolic complications after surgical correction of mitral regurgitation. J Am Coll Cardiol 2008; 51: 1203–11.Google Scholar
Cabanes, L, Coste, J, Derumeaux, G, et al. Interobserver and intraobserver variability in detection of patent foramen ovale and atrial septal aneurysm with transesophageal echocardiography. J Am Soc Echocardiogr 2002; 15: 441–6.Google Scholar
Stöllberger, C, Finsterer, J, Slany, J. Why is venous thrombosis only rarely detected in patients with suspected paradoxical embolism? Thromb Res 2002; 105: 189–91.Google Scholar
Di Tullio, MR, Sacco, RL, Sciacca, RR, et al. Patent foramen ovale and the risk of ischemic stroke in a multiethnic population. J Am Coll Cardiol 2007; 49: 797802.Google Scholar
Meissner, I, Khandheria, BK, Heit, JA, et al. Patent foramen ovale: innocent or guilty? Evidence from a prospective population-based study. J Am Coll Cardiol 2006; 47: 440–5.Google Scholar
Saver, JL, Carroll, JD, Thaler, DE, et al. Long-term outcomes of patent foramen ovale closure or medical therapy after stroke. N Engl J Med 2017; 377: 1022–32.Google Scholar
Søndergaard, L, Kasner, SE, Rhodes, JF, et al. Patent foramen ovale closure or antiplatelet therapy for cryptogenic stroke. N Engl J Med 2017; 377: 1033–42.Google Scholar
Mas, JL, Derumeaux, G, Guillon, B, et al. Patent foramen ovale closure or anticoagulation vs. antiplatelets after stroke. N Engl J Med 2017; 377: 1011–21.Google Scholar
Kodankandath, TV, Mishra, S, Libman, RB, et al. Recurrent stroke due to patent foramen ovale closure device thrombus eight years after implantation. J Stroke Cerebrovasc Dis 2016; 25: e1612.Google Scholar
Pinto, YM, Elliott, PM, Arbustini, E, et al. Proposal for a revised definition of dilated cardiomyopathy, hypokinetic non-dilated cardiomyopathy, and its implications for clinical practice: a position statement of the ESC working group on myocardial and pericardial diseases. Eur Heart J 2016; 37: 1850–8.Google Scholar
Homma, S, Thompson, JL, Pullicino, PM, et al. Warfarin and aspirin in patients with heart failure and sinus rhythm. N Engl J Med 2012; 366: 1859–69.Google Scholar
Stöllberger, C, Finsterer, J. Extracardiac medical and neuromuscular implications in restrictive cardiomyopathy. Clin Cardiol 2007; 30: 375–80.Google Scholar
Pelliccia, F, Kaski, JC, Crea, F, et al. Pathophysiology of Takotsubo syndrome. Circulation 2017; 135: 2426–41.Google Scholar
Finsterer, J, Wahbi, K. CNS disease triggering Takotsubo stress cardiomyopathy. Int J Cardiol 2014; 177: 322–9.Google Scholar
El-Battrawy, I, Borggrefe, M, Akin, I. Takotsubo syndrome and embolic events. Heart Fail Clin 2016; 12: 543–50.Google Scholar
Finsterer, J, Stöllberger, C, Towbin, JA. Left ventricular noncompaction cardiomyopathy: cardiac, neuromuscular, and genetic factors. Nat Rev Cardiol 2017; 14: 224–37.Google Scholar
Stöllberger, C, Blazek, G, Gessner, M, et al. Neuromuscular comorbidity, heart failure, and atrial fibrillation as prognostic factors in left ventricular hypertrabeculation/noncompaction. Herz 2015; 40: 906–11.Google Scholar
Stöllberger, C, Blazek, G, Dobias, C, et al. Frequency of stroke and embolism in left ventricular hypertrabeculation/noncompaction. Am J Cardiol 2011; 108: 1021–3.Google Scholar
Bukhman, G, Ziegler, J, Parry, E. Endomyocardial fibrosis: still a mystery after 60 years. PLoS Negl Trop Dis 2008; 2: e97.Google Scholar
Gupta, PN, Kunju, SM, Vishwanathan, S, et al. An uncommon picture of endomyocardial fibrosis: no embolism yet. Heart Asia 2013; 5: 71–3.Google Scholar
Rajani, AR, Hussain, K, Baslaib, FO, Mirza, SJ. Endomyocardial fibrosis causing stroke in a young man. BMJ Case Rep 2012; pii: bcr2012006635; doi: 10.1136/bdr-2012-006635.Google Scholar

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