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As many as 60–80% of ischemic stroke events can be attributed to high blood pressure, dyslipidemia, smoking, and diabetes, and also to atrial fibrillation and valvular heart disease (cardiogenic and embolic ischemic stroke) [78]. A review indicated that about 10–20% of atherosclerotic ischemic strokes can prob-ably be attributed to recently established, probprob-ably causal risk factors for ischemic heart disease: raised ApoB/ApoA1 ratio, obesity, physical inactivity, psy-chosocial stress, and low fruit and vegetable intake [79]. However, their causal role remains to be proven.

While the importance of genes predisposing to stroke cannot be denied [80, 81], the contribution of any single gene towards ischemic stroke is likely to be modest and to apply in selected patients only and in combination with environmental factors or via other epistatic (gene–gene or gene–environmental) effects.

Hankey proposed, based on the well-known Brad-ford Hill criteria on causality, a practical way to consider the causal significance of a risk factor for ischemic stroke [79]:

 Is there evidence from experiments in humans?

 Is the association between exposure to the risk factor and ischemic stroke shown by means of multiple variable regression analysis to be

independent of other risk factors that may interact with the risk factor or be a confounding risk factor?

 Is the association strong?

 Is the association consistent from study to study?

 Is the temporal relation correct (exposure to the risk factor occurred before the stroke)?

 Is there a dose–response relation (increasing risk or severity of stroke associated with increasing dose or duration of exposure to the risk factor)?

 Is the association biologically plausible?

 Is the association epidemiologically plausible?

 Is there evidence that reducing exposure to the risk factor (e.g. by randomized controlled trials or large observational prospective studies) leads to a reduction in the risk of stroke?

It needs to be pointed out that certain issues such as smoking and alcohol drinking, and many other diet-ary factors, can never be properly tested in real life using a controlled trial design, and if such experi-ments would appear, they can only be considered as cross-sectional in a particular population. Therefore, it is very important to understand the inferences that can be drawn from various studies. Techniques such as meta-analysis will help, but only if the original studies were done properly and were comparable.

Therefore, resources should not be allocated dis-proportionately to emerging novel risk factors that may account for up to only 20% of all strokes at the expense of researching the determinants of the rela-tively few established causal factors that account for up to 80% of all strokes. The evidence is strong to suggest that the control of the established risk factors for stroke will result in prevention of a very large number of stroke events and premature deaths.

Chapter summary

On a global scale, stroke is the second most frequent cause of mortality worldwide and a leading cause of disability. It is especially prevalent in low- and middle-income countries. The WHO Monitoring of Trends and Determinants in Cardiovascular Disease (MONICA) Stroke Study compared the stroke inci-dence (or more precisely attack rate), mortality, and case fatality in 14 populations aged 35–64 years in the 1980–1990s. The study confirmed the large geo-graphical variation in stroke incidence and mortality, and also in case fatality. More recently, a few coun-tries have systematically collected population-based incidence data for stroke. The relative frequency of different subtypes of stroke varies among popula-tions, and in particular among different ethnic groups. This variation may be in part due to genetic differences or due to differences in risk-factor pro-files. In most populations, changes in stroke mortal-ity, whether declining or increasing, have been principally attributable to changes in case fatality rather than changes in event rates. In many epidemi-ological studies strokes have been defined without

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confirmation by neuroimaging. Definitions by clinical means alone can be imprecise and sometimes mis-leading. In general, stroke mortality rates have declined over recent decades. The overall case fatal-ity (the proportion of deaths among all strokes) is roughly 20% within the first month, and subse-quently increases around 5% per year. Large vari-ations occur between countries both in stroke incidence, mortality, and case fatality. Mortality rates were 3.5-fold higher in low-income countries than in middle-income and high-income countries.

Stroke has a multifactorial origin and a plethora of putative and confirmed risk factors have been listed and tested in various types of studies. Well-known modifiable risk factors for stroke are virtually the same as those for cardiovascular disease in gen-eral: hypertension, smoking, dyslipidemia, diabetes, etc. Among non-modifiable risk factors old age, racial or ethnic factors, low birth weight, and genetic sus-ceptibility play a role. In individuals with non-modifiable risk factors prevention focused on the modifiable ones is particularly important. Several prospective studies have shown that up to 70–80%

of stroke events may be preventable, if people

sim-ultaneously adhere to several healthy lifestyle habits.

Stroke risk assessment and prevention rely on risk profiles in a population. The Framingham Stroke Profile is widely used but hitherto has not been validated in many populations, but many other stroke risk scores have been developed in various populations.

A recent review indicated that about 10–20% of atherosclerotic ischemic strokes can probably be attributed to more recently established, probably causal risk factors for ischemic heart disease: raised ApoB/ApoA1 ratio, obesity, physical inactivity, psy-chosocial stress, and low fruit and vegetable intake.

However, their causal role remains to be proven.

While the importance of genes predisposing to stroke cannot be denied, the contribution of any single gene towards ischemic stroke is likely to be modest and apply in selected patients only and in combination with environmental factors or via other epistatic (gene–gene or gene–environmental) effects. The evidence is strong to state that the con-trol of the established risk factors for stroke will result in prevention of a very large number of stroke events and premature deaths.

References

1. MONICA Manual, Part IV:Event Registration. Section 2: Stroke event registration data component. Office of

Cardiovascular Diseases, World Health Organization; 1999 [cited 16 Oct 2008]. Available from:

http://www.ktl.fi/publications/

monica/manual/part4/iv-2.htm.

2. Feigin VL, Lawes CMM, Bennet DA, Parag V. Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review.

Lancet Neurol 2009;

8:355–69.

3. Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data.

Lancet 2006; 367(9524):1747–57.

4. Strong K, Mathers C, Bonita R.

Preventing stroke: saving lives around the world. Lancet Neurol 2007; 6(2):182–7.

5. Beaglehole R, Ebrahim S, Reddy S, Voute J, Leeder S. Prevention of chronic diseases: a call to action.

Lancet 2007; 370(9605):2152–7.

6. Feigin VL, Lawes CM, 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(1):43–53.

7. Johnston SC, Mendis S, Mathers CD. Global variation in stroke burden and mortality: estimates from monitoring, surveillance, and modeling. Lancet Neurol 2009; 8:345–54.

8. Mathers C, Fat DM, Boerma JT.

The Global Burden of Disease:

2004 Update. Geneva, Switzerland: World Health Organization; 2008.

9. 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(7):2064–89.

10. Sarti C, Rastenyte D, Cepaitis Z, Tuomilehto J. International trends in mortality from stroke, 1968 to 1994. Stroke 2000;

31(7):1588–601.

11. 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(2):138–45.

12. Sivenius J, Tuomilehto J, Immonen-Raiha P, et al.

Continuous 15-year decrease in incidence and mortality of stroke in Finland: the FINSTROKE study. Stroke 2004; 35(2):420–5.

13. 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.

115

14. 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.

15. Bonita R, Broad JB, Beaglehole R. Changes in stroke incidence and case-fatality in Auckland, New Zealand, 1981–91. Lancet 1993; 342(8885):1470–3.

16. 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(4):875–81.

17. Truelsen T, Prescott E, Gronbaek M, Schnohr P, Boysen G. Trends in stroke incidence. The Copenhagen City Heart Study.

Stroke 1997; 28(10):1903–7.

18. Thorvaldsen P, Asplund K, Kuulasmaa K, et al. Stroke incidence, case fatality, and mortality in the WHO MONICA Project. Stroke 1995;

26:361–7.

19. 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(6):924–9.

20. Korv 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(2):199–203.

21. 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(6):1165–9.

22. 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(8):1833–40.

23. 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(2):99–108.

24. 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(13):E120–7.

25. 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.

26. 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(9425):1925–33.

27. Heuschmann PU, Grieve A, Toschke AM, Rudd A, Wolfe CD.

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.

28. 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.

29. Goldstein LB, Adams R, Alberts MJ, et al.; American Heart Association; American Stroke Association Stroke Council.

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(24):e873–923.

30. 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(3):373–80.

31. Wolf PA, D’Agostino RB, O’Neal MA, et al. Secular trends in stroke incidence and mortality. The Framingham Study. Stroke 1992;

23(11):1551–5.

32. 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(3):259–68.

33. Immonen-Raiha P, Sarti C, Tuomilehto J, et al. Eleven-year trends of stroke in Turku, Finland.

Neuroepidemiology 2003;

22(3):196–203.

34. Reeves MJ, Bushnell CD, Howard G, et al. Sex differences in stroke:

epidemiology, clinical

presentation, medical care, and outcomes. Lancet Neurol 2008;

7(10):915–26.

35. 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(2):415–21.

36. Gorelick PB. Cerebrovascular disease in African Americans.

Stroke 1998; 29(12):2656–64.

37. 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(11):2120–5.

116

38. 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(4):736–43.

39. Ingall T, Asplund K, Mahonen M, Bonita R. A multinational comparison of subarachnoid hemorrhage epidemiology in the WHO MONICA stroke study.

Stroke 2000; 31(5):1054–61.

40. Welin L, Svardsudd 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(9):521–6.

41. Kiely DK, Wolf PA, Cupples LA, Beiser AS, Myers RH. Familial aggregation of stroke. The Framingham Study. Stroke 1993;

24(9):1366–71.

42. 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(7):1361–6.

43. Liao D, Myers R, Hunt S, et al.

Familial history of stroke and stroke risk. The Family Heart Study. Stroke 1997;

28(10):1908–12.

44. Barker DJ, Lackland DT. Prenatal influences on stroke mortality in England and Wales. Stroke 2003;

34(7):1598–602.

45. Eriksson JG, Forsen T,

Tuomilehto J, Osmond C, Barker DJ. Early growth, adult income, and risk of stroke. Stroke 2000;

31(4):869–74.

46. Chiuve SE, Rexrode KM, Spiegelman D, et al. Primary prevention of stroke by healthy lifestyle. Circulation 2008;

118(9):947–54.

47. Kurth T, Moore SC, Gaziano JM, et al. Healthy lifestyle and the risk

of stroke in women. Arch Intern Med 2006; 166(13):1403–9.

48. Weikert C, Berger K, Heidemann C, et al. Joint effects of risk factors for stroke and transient ischemic attack in a German population:

the EPIC Potsdam Study. J Neurol 2007; 254(3):315–21.

49. Stamler J, Stamler R, Neaton JD, et al. Low risk-factor profile and long-term cardiovascular and noncardiovascular mortality and life expectancy: findings for 5 large cohorts of young adult and middle-aged men and women.

JAMA 1999; 282(21):2012–18.

50. 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.

51. Tolonen H, Mahonen 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(10):2367–75.

52. Rothwell PM, Warlow CP. Timing of TIAs preceding stroke: time window for prevention is very short. Neurology 2005;

64(5):817–20.

53. Coull AJ, Rothwell PM.

Underestimation of the early risk of recurrent stroke: evidence of the need for a standard definition.

Stroke 2004; 35(8):1925–9.

54. 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 2003;

16(Suppl 3):2–10.

55. Johnston SC, Gress DR, Browner WS, Sidney S. Short-term prognosis after emergency

department diagnosis of TIA.

JAMA 2000; 284(22):2901–6.

56. Lovett JK, Dennis MS, Sandercock PA, et al. Very early risk of stroke after a first transient ischemic attack. Stroke 2003;

34(8):e138–40.

57. Coull AJ, Lovett JK, Rothwell PM.

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(7435):326.

58. 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(11):2015–20.

59. Lisabeth LD, Ireland JK, Risser JM, et al. Stroke risk after transient ischemic attack in a population-based setting. Stroke 2004; 35(8):1842–6.

60. 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(8):640–52.

61. 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(2):456–62.

62. 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(9455):256–65.

63. 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(9479):29–36.

64. Grover SA, Lowensteyn I, Esrey

KL, et al. Do doctors accurately

117

assess coronary risk in their patients? Preliminary results of the coronary health assessment study. BMJ 1995; 310:975–8.

65. 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.

66. 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. London: Royal College of General Practitioners (UK) National Institute for Health and Clinical Excellence: Guidance;

2008.

67. Wolf PA, D’Agostino RB, Belanger AJ, Kannel WB.

Probability of stroke: a risk profile from the Framingham Study.

Stroke 1991; 22(3):312–18.

68. D’Agostino RB, Wolf PA, Belanger AJ, Kannel WB. Stroke risk profile: adjustment for antihypertensive medication. The Framingham Study. Stroke 1994;

25(1):40–3.

69. 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(8):1049–56.

70. Zhang XF, Attia J, D’Este C, Yu XH, Wu XG. A risk score predicted coronary heart disease and stroke in a Chinese cohort.

J Clin Epidemiol 2005;

58(9):951–8.

71. 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(2):129–36.

72. 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.

73. Saaristo T, Peltonen M, Lindstrom 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(2):67–72.

74. Kivipelto M, Ngandu T,

Laatikainen T, et al. Risk score for the prediction of dementia risk in 20 years among middle aged people: a longitudinal, population-based study. Lancet Neurol 2006; 5(9):735–41.

75. Silventoinen K, Pankow J, Lindstrom J, et al. The validity of

the Finnish Diabetes Risk Score for the prediction of the incidence of coronary heart disease and stroke, and total mortality. Eur J Cardiovasc Prev Rehabil 2005;

12(5):451–8.

76. Richards A, Eric M. Cheng EM.

Stroke risk calculators in the era of electronic health records linked to administrative databases. Stroke 2013; 44(2):564–9.

77. 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;

58:395–401.

78. Whisnant JP. Modeling of risk factors for ischemic stroke. The Willis Lecture. Stroke 1997;

28(9):1840–4.

79. Hankey GJ. Potential new risk factors for ischemic stroke: what is their potential? Stroke 2006;

37(8):2181–8.

80. 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(11):1652–61.

81. Markus HS. Stroke genetics:

prospects for personalized medicine. BMC Med 2012;

10:113.

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