Assessment of cerebral small vessel disease predicts individual stroke risk

Journal of Neurology, Neurosurgery and Psychiatry

Volumn 83, Issue 12, 2012, Pages 1174-1179

  Poels, Mariëlle M F ^a   Steyerberg, Ewout W ^a   Wieberdink, Renske G ^a   Hofman, Albert ^a   Koudstaal, Peter J ^a   Ikram, M Arfan ^a   Breteler, Monique M B ^a,b  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b GERMAN CENTER FOR NEURODEGENERATIVE DISEASES DZNE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ARTICLE; BRAIN INFARCTION; CEREBROVASCULAR ACCIDENT; CEREBROVASCULAR DISEASE; FEMALE; FOLLOW UP; HIGH RISK POPULATION; HUMAN; MAJOR CLINICAL STUDY; MALE; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR; WHITE MATTER LESION;

EID: 84869239748     PISSN: 00223050     EISSN: 1468330X     Source Type: Journal    
DOI: 10.1136/jnnp-2012-302381     Document Type: Article

References (31)

1. Lloyd-Jones D, Adams RJ, Brown TM, et al American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics-2010 update: a report from the American Heart Association. Circulation 2010;121:e46-215.
2. Haynes RB, McDonald HP, Garg AX. Helping patients follow prescribed treatment: clinical applications. JAMA 2002;288:2880-3. (Pubitemid 35425074)
3. 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. (Pubitemid 44313581)
4. Wolf PA, D'Agostino RB, Belanger AJ, et al. Probability of stroke: a risk profile from the Framingham Study. Stroke 1991;22:312-18.
5. Fowkes FG, Murray GD, Butcher I, et al Ankle Brachial Index Collaboration. Ankle brachial index combined with Framingham Risk Score to predict cardiovascular events and mortality: a meta-analysis. JAMA 2008;300:197-208. (Pubitemid 351969304)
6. Prati P, Tosetto A, Vanuzzo D, et al. Carotid intima media thickness and plaques can predict the occurrence of ischemic cerebrovascular events. Stroke 2008;39:2470-6.
7. Ridker PM, Cook N. Clinical usefulness of very high and very low levels of C-reactive protein across the full range of Framingham Risk Scores. Circulation 2004;109:1955-9. (Pubitemid 38544485)
8. Sacco RL, Khatri M, Rundek T, et al. Improving global vascular risk prediction with behavioral and anthropometric factors. The multiethnic NOMAS (Northern Manhattan Cohort Study). J Am Coll Cardiol 2009;54:2303-11.
9. Wilson PW, Bozeman SR, Burton TM, et al. Prediction of first events of coronary heart disease and stroke with consideration of adiposity. Circulation 2008;118:124-30.
10. Wald NJ, Hackshaw AK, Frost CD. When can a risk factor be used as a worthwhile screening test? BMJ 1999;319:1562-5.
11. Bernick C, Kuller L, Dulberg C, et al. Silent MRI infarcts and the risk of future stroke: the cardiovascular health study. Neurology 2001;57:1222-9. (Pubitemid 32947380)
12. Vermeer SE, Hollander M, van Dijk EJ, et al. Silent brain infarcts and white matter lesions increase stroke risk in the general population: the Rotterdam Scan Study. Stroke 2003;34:1126-9. (Pubitemid 36547501)
13. de Leeuw FE, de Groot JC, Achten E, et al. Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam Scan Study. J Neurol Neurosurg Psychiatry 2001;70:9-14. (Pubitemid 32096113)
14. Ikram MA, van der Lugt A, Niessen WJ, et al. The Rotterdam scan study: design and update up to 2012. Eur J Epidemiol 2011;26:811-24.
15. Hofman A, van Laar A, Klein F, et al. Coffee and cholesterol. N Engl J Med 1983;309:1248-50.
16. Hofman A, Grobbee DE, de Jong PT, et al. Determinants of disease and disability in the elderly: the Rotterdam elderly study. Eur J Epidemiol 1991;7:403-22.
17. Hofman A, van Duijn CM, Franco OH, et al. The Rotterdam Study: 2012 objectives and design update. Eur J Epidemiol 2011;26:657-86.
18. Vermeer SE, Koudstaal PJ, Oudkerk M, et al. Prevalence and risk factors of silent brain infarcts in the population-based Rotterdam Scan Study. Stroke 2002;33:21-5. (Pubitemid 34052178)
19. de Bruyne MC, Kors JA, Hoes AW, et al. Diagnostic interpretation of electrocardiograms in population-based research: computer program research physicians, or cardiologists? J Clin Epidemiol 1997;50:947-52. (Pubitemid 27423525)
20. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, et al. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157-72; discussion 207-12.
21. Harrel FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy and measuring and reducing errors. Stat Med 1996;15:361-87. (Pubitemid 26072233)
22. Voko Z, Hollander M, Koudstaal PJ, et al. How do American stroke risk functions perform in a Western European population? Neuroepidemiology 2004;23:247-53. (Pubitemid 39179155)
23. Steyerberg E. Clinical Prediction Models - A Practical Approach to Development, Validation and Updating. 1st edn. New York: Springer, 2008.
24. Assmann G, Schulte H, Cullen P, et al. Assessing risk of myocardial infarction and stroke: new data from the Prospective Cardiovascular Munster (PROCAM) study. Eur J Clin Invest 2007;37:925-32. (Pubitemid 350151189)
25. Bineau S, Dufouil C, Helmer C, et al. Framingham stroke risk function in a large population-based cohort of elderly people: the 3C study. Stroke 2009;40:1564-70.
26. Lumley T, Kronmal RA, Cushman A, et al. A stroke prediction score in the elderly: validation and Web-based application. J Clin Epidemiol 2002;55:129-36. (Pubitemid 34065279)
27. DeCarli C, Fletcher E, Ramey V, et al. Anatomical mapping of white matter hyperintensities (WMH): exploring the relationships between periventricular WMH, deep WMH and total WMH burden. Stroke 2005;36:50-5. (Pubitemid 40054174)
28. Kuller LH, Longstreth WT Jr, Arnold AM, et al. White matter hyperintensity on cranial magnetic resonance imaging: a predictor of stroke. Stroke 2004;35:1821-5. (Pubitemid 38971858)
29. Vermeer SE, Longstreth WT Jr, Koudstaal PJ. Silent brain infarcts: a systematic review. Lancet Neurol 2007;6:611-19. (Pubitemid 46921055)
30. Ikram MA, Vrooman HA, Vernooij MW, et al. Brain tissue volumes in the general elderly population. The Rotterdam Scan Study. Neurobiol Aging 2008;29:882-90. (Pubitemid 351601893)
31. Ikram MA, Vernooij MW, Vrooman HA, et al. Brain tissue volumes and small vessel disease in relation to the risk of mortaliy. Neurobiol Aging 2009;30:450-6.