1 Feigin, V. L., Norrving, B. & Mensah, G. A. Global Burden of Stroke. Circ Res 120, 439-448, doi:10.1161/CIRCRESAHA.116.308413 (2017).
2 Mozaffarian, D. et al. Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association. Circulation 133, e38-e360, doi:10.1161/CIR.0000000000000350 (2016).
3 Feigin, V. L. et al. Global and regional burden of stroke during 1990-2010: findings from the Global Burden of Disease Study 2010. Lancet 383, 245-254 (2014).
4 Easton, J. D. 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 40, 2276-2293, doi:10.1161/strokeaha.108.192218 (2009).
5 Ahmad, O., Wardlaw, J. & Whiteley, W. N. Correlation of levels of neuronal and glial markers with radiological measures of infarct volume in ischaemic stroke: a systematic review. Cerebrovasc Dis 33, 47-54, doi:10.1159/000332810 (2012).
6 Purroy, F. et al. The determination of copeptin levels helps management decisions among transient ischaemic attack patients. Acta Neurol Scand, doi:10.1111/ane.12523 (2015).
7 Purroy, F. et al. N-terminal pro-brain natriuretic peptide level determined at different times identifies transient ischaemic attack patients with atrial fibrillation. European journal of neurology 21, 679-683, doi:10.1111/ene.12222 (2014).
8 Ye, H. et al. Serum S100B levels may be associated with cerebral infarction: a meta-analysis. J Neurol Sci 348, 81-88, doi:10.1016/j.jns.2014.11.010 (2015).
9 Selcuk, O. et al. The Relationship of Serum S100B Levels with Infarction Size and Clinical Outcome in Acute Ischemic Stroke Patients. Noro Psikiyatr Ars 51, 395-400, doi:10.5152/npa.2014.7213 (2014).
10 Brea, D. et al. Temporal profile and clinical significance of serum neuron-specific enolase and S100 in ischemic and hemorrhagic stroke. Clin Chem Lab Med 47, 1513-1518, doi:10.1515/CCLM.2009.337 (2009).
11 Zurek, J. & Fedora, M. The usefulness of S100B, NSE, GFAP, NF-H, secretagogin and Hsp70 as a predictive biomarker of outcome in children with traumatic brain injury. Acta Neurochir (Wien) 154, 93-103; discussion 103, doi:10.1007/s00701-011-1175-2 (2012).
12 Bustamante, A. et al. Prognostic value of plasma chitotriosidase activity in acute stroke patients. Int J Stroke 9, 910-916, doi:10.1111/ijs.12160 (2014).
13 Bustamante, A. et al. Prognostic value of blood interleukin-6 in the prediction of functional outcome after stroke: a systematic review and meta-analysis. Journal of neuroimmunology 274, 215-224, doi:10.1016/j.jneuroim.2014.07.015 (2014).
14 Smith, C. J. et al. Peak plasma interleukin-6 and other peripheral markers of inflammation in the first week of ischaemic stroke correlate with brain infarct volume, stroke severity and long-term outcome. BMC Neurol 4, 2, doi:10.1186/1471-2377-4-2 (2004).
15 Wartenberg, K. E. et al. Infection after acute ischemic stroke: risk factors, biomarkers, and outcome. Stroke Res Treat 2011, 830614, doi:10.4061/2011/830614 (2011).
16 Purroy, F. et al. Age- and Sex-Specific Risk Profiles and In-Hospital Mortality in 13,932 Spanish Stroke Patients. Cerebrovascular diseases (2019).
17 Ferro, J. M. Cardioembolic stroke: an update. Lancet Neurol 2, 177-188 (2003).
18 Wegener, S. et al. Transient ischemic attacks before ischemic stroke: preconditioning the human brain? A multicenter magnetic resonance imaging study. Stroke 35, 616-621, doi:10.1161/01.STR.0000115767.17923.6A01.STR.0000115767.17923.6A [pii] (2004).
19 Iadecola, C. & Anrather, J. Stroke research at a crossroad: asking the brain for directions. Nat Neurosci 14, 1363-1368, doi:10.1038/nn.2953 (2011).
20 Bamford, J., Sandercock, P., Dennis, M., Burn, J. & Warlow, C. Classification and natural history of clinically identifiable subtypes of cerebral infarction. Lancet 337, 1521-1526, doi:10.1016/0140-6736(91)93206-o (1991).
21 Rosset, A., Spadola, L. & Ratib, O. OsiriX: an open-source software for navigating in multidimensional DICOM images. Journal of digital imaging 17, 205-216, doi:10.1007/s10278-004-1014-6 (2004).