The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Risk Factors, Stroke Prevention Treatments, and Prevalence of Cerebral Microbleeds in the Framingham Heart Study
Open accessAbstract
Background and Purpose—: Cerebral microbleeds (CMBs) are associated with increased risk of stroke and poor cognition. Vascular risk factors and medications used for stroke prevention may increase the risk of CMB. We examined the prevalence of CMB and the association of these risk factors with CMB, postulating that risk factors for cerebral amyloid angiopathy would be associated with lobar CMB and markers of hypertensive vasculopathy with deep CMB. Methods —: We include 1965 Framingham Original and Offspring participants (age, 66.5±11.0 years; 54% women) and evaluated the age- and sex-specific prevalence of CMB. We related various vascular and genetic (apolipoprotein E [ APOE ]) risk factors and medication use to the presence of CMB overall and stratified by brain location (deep, lobar, or mixed). Results —: CMBs were observed in 8.8% of participants, being mostly lobar (63%). CMB prevalence increased with age ( P <0.0001) and was higher in men ( P <0.001). Hypertension increased risk of any CMB, and in deep and mixed locations ( P <0.05), and low total cholesterol and APOE ε4 increased risk of lobar CMB ( P <0.05). Statin use increased risk of lobar and mixed location CMB ( P <0.05). The latter association was not affected by adjustment for cholesterol levels or concomitant medication use. Conclusions —: We observed the expected association of hypertension with deep CMB and low cholesterol and APOE ε4 with lobar CMB. In addition, statin use was independently associated with CMB risk. This potential adverse effect of statin use needs to be examined in other cohorts.
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Citations
Cites
Cerebral microbleeds: a guide to detection and interpretation
Greenberg, S. M., Vernooij, M. W., Cordonnier, C., Viswanathan, A., Al-Shahi Salman, R., Warach, S., Launer, L. J., Van Buchem, M. A., & Breteler, M. M. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70013-4 · Cited by 1,798
Self-citationSperling, R., Salloway, S., Brooks, D. J., Tampieri, D., Barakos, J., Fox, N. C., Raskind, M., Sabbagh, M., Honig, L. S., Porsteinsson, A. P., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70015-7 · Cited by 512
Jeerakathil, T., Wolf, P. A., Beiser, A., Hald, J. K., Au, R., Kase, C. S., Massaro, J. M., & DeCarli, C. (2004) · Stroke · doi:10.1161/01.str.0000131809.35202.1b · Cited by 319
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Cited by
Iadecola, C., Yaffe, K., Biller, J., Bratzke, L. C., Faraci, F. M., Gorelick, P. B., Gulati, M., Kamel, H., Knopman, D. S., Launer, L. J., et al. (2016) · Hypertension · doi:10.1161/hyp.0000000000000053 · Cited by 746
Self-citationSmith, E. E., Saposnik, G., Biessels, G. J., Doubal, F. N., Fornage, M., Gorelick, P. B., Greenberg, S. M., Higashida, R. T., Kasner, S. E., & Seshadri, S. (2017) · Stroke · doi:10.1161/str.0000000000000116 · Cited by 404
Self-citationCerebral Microbleeds: Imaging and Clinical Significance
Haller, S., Vernooij, M. W., Kuijer, J. P. A., Larsson, E.-M., Jäger, H. R., & Barkhof, F. (2018) · Radiology · doi:10.1148/radiol.2018170803 · Cited by 308
Toth, P., Tarantini, S., Springo, Z., Tucsek, Z., Gautam, T., Giles, C. B., Wren, J. D., Koller, A., Sonntag, W. E., Csiszar, A., et al. (2015) · Aging Cell · doi:10.1111/acel.12315 · Cited by 163
Shams, S., Martola, J., Granberg, T., Li, X., Shams, M., Fereshtehnejad, S. M., Cavallin, L., Aspelin, P., Kristoffersen-Wiberg, M., & Wahlund, L. O. (2015) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4176 · Cited by 132
Association of common genetic variants with brain microbleeds: a genome-wide association study
Knol, M. J., Lu, D., Traylor, M., Adams, H. H. H., Romero, J. R. J., Smith, A. V., Fornage, M., Hofer, E., Liu, J., Hostettler, I. C., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000010852 · Cited by 94
Self-citationCsiszar, A., Tarantini, S., Fülöp, G. A., Kiss, T., Valcarcel-Ares, M. N., Galvan, V., Ungvari, Z., & Yabluchanskiy, A. (2017) · GeroScience · doi:10.1007/s11357-017-9991-9 · Cited by 93
Metadata
- Authors
- Romero, J. R., Preis, S. R., Beiser, A., DeCarli, C., Viswanathan, A., Martinez-Ramirez, S., Kase, C. S., Wolf, P. A., & Seshadri, S.
- Venue
- Stroke
- Published
- 2014-05
- Volume
- 45
- Issue
- 5
- Pages
- 1492-1494
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W2165651751
- Cited by
- 252
- References
- 3
- FWCI
- 15.13
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
