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Awareness of risk factors and warning signs of stroke among nursing students: Results from questionnaire.

Nigerian journal of clinical practice

Kankaya H, Yesilbalkan OU.
PMID: 34018983
Niger J Clin Pract. 2021 May;24(5):729-734. doi: 10.4103/njcp.njcp_181_19.

BACKGROUND: It is important to inform nursing students about stroke and improve their role in the clinic.AIMS: We aimed to assess the awareness/knowledge of stroke risk factors and warning signs among nursing students. Therefore, we aimed to assess the...

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Kankaya H, Yesilbalkan OU. Awareness of risk factors and warning signs of stroke among nursing students: Results from questionnaire. Niger J Clin Pract. 2021;24(5):729-734doi: 10.4103/njcp.njcp_181_19.
Kankaya, H., & Yesilbalkan, O. U. (2021). Awareness of risk factors and warning signs of stroke among nursing students: Results from questionnaire. Nigerian journal of clinical practice, 24(5), 729-734. https://doi.org/10.4103/njcp.njcp_181_19
Kankaya, H, and Yesilbalkan, O Usta. "Awareness of risk factors and warning signs of stroke among nursing students: Results from questionnaire." Nigerian journal of clinical practice vol. 24,5 (2021): 729-734. doi: https://doi.org/10.4103/njcp.njcp_181_19
Kankaya H, Yesilbalkan OU. Awareness of risk factors and warning signs of stroke among nursing students: Results from questionnaire. Niger J Clin Pract. 2021 May;24(5):729-734. doi: 10.4103/njcp.njcp_181_19. PMID: 34018983.
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Reorganizing stroke and neurological intensive care during the COVID-19 pandemic in Germany.

Acta bio-medica : Atenei Parmensis

Kämpfer NA, Naldi A, Bragazzi NL, Fassbender K, Lesmeister M, Lochner P.
PMID: 34738586
Acta Biomed. 2021 Nov 03;92(5):e2021266. doi: 10.23750/abm.v92i5.10418.

The outbreak of coronavirus disease 19 (COVID-19) has dramatically imposed healthcare systems to reorganize their departments, including neurological wards. We aimed to describe the rearrangements made by stroke units (SU) and neurological intensive care units (ICU) in several German...

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Kämpfer NA, Naldi A, Bragazzi NL, et al. Reorganizing stroke and neurological intensive care during the COVID-19 pandemic in Germany. Acta Biomed. 2021;92(5):e2021266doi: 10.23750/abm.v92i5.10418.
Kämpfer, N. A., Naldi, A., Bragazzi, N. L., Fassbender, K., Lesmeister, M., & Lochner, P. (2021). Reorganizing stroke and neurological intensive care during the COVID-19 pandemic in Germany. Acta bio-medica : Atenei Parmensis, 92(5), e2021266. https://doi.org/10.23750/abm.v92i5.10418
Kämpfer, Niklas Alexander, et al. "Reorganizing stroke and neurological intensive care during the COVID-19 pandemic in Germany." Acta bio-medica : Atenei Parmensis vol. 92,5 (2021): e2021266. doi: https://doi.org/10.23750/abm.v92i5.10418
Kämpfer NA, Naldi A, Bragazzi NL, Fassbender K, Lesmeister M, Lochner P. Reorganizing stroke and neurological intensive care during the COVID-19 pandemic in Germany. Acta Biomed. 2021 Nov 03;92(5):e2021266. doi: 10.23750/abm.v92i5.10418. PMID: 34738586; PMCID: PMC8689326.
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Could the occurrence of neuropsychiatric disorders affect the incidence of stroke and its long-term effects?.

International psychogeriatrics

Filipska K.
PMID: 34423751
Int Psychogeriatr. 2021 Aug;33(8):763-765. doi: 10.1017/S1041610220004184.

No abstract available.

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Filipska K. Could the occurrence of neuropsychiatric disorders affect the incidence of stroke and its long-term effects?. Int Psychogeriatr. 2021;33(8):763-765doi: 10.1017/S1041610220004184.
Filipska, K. (2021). Could the occurrence of neuropsychiatric disorders affect the incidence of stroke and its long-term effects?. International psychogeriatrics, 33(8), 763-765. https://doi.org/10.1017/S1041610220004184
Filipska, Karolina. "Could the occurrence of neuropsychiatric disorders affect the incidence of stroke and its long-term effects?." International psychogeriatrics vol. 33,8 (2021): 763-765. doi: https://doi.org/10.1017/S1041610220004184
Filipska K. Could the occurrence of neuropsychiatric disorders affect the incidence of stroke and its long-term effects?. Int Psychogeriatr. 2021 Aug;33(8):763-765. doi: 10.1017/S1041610220004184. PMID: 34423751.
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Depression and routinization following stroke.

Revue neurologique

Villain M, Sibon I, Renou P, Poli M, Swendsen J.
PMID: 34215428
Rev Neurol (Paris). 2021 Oct;177(8):964-968. doi: 10.1016/j.neurol.2020.08.012. Epub 2021 Jun 29.

OBJECTIVE: Post-stroke depression is a frequent complication of stroke that has detrimental consequences for quality of life and functional outcomes. Daily life routines may increase feelings of security for some individuals confronted with age-related health concerns, but little information...

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Villain M, Sibon I, Renou P, et al. Depression and routinization following stroke. Rev Neurol (Paris). 2021;177(8):964-968doi: 10.1016/j.neurol.2020.08.012.
Villain, M., Sibon, I., Renou, P., Poli, M., & Swendsen, J. (2021). Depression and routinization following stroke. Revue neurologique, 177(8), 964-968. https://doi.org/10.1016/j.neurol.2020.08.012
Villain, M, et al. "Depression and routinization following stroke." Revue neurologique vol. 177,8 (2021): 964-968. doi: https://doi.org/10.1016/j.neurol.2020.08.012
Villain M, Sibon I, Renou P, Poli M, Swendsen J. Depression and routinization following stroke. Rev Neurol (Paris). 2021 Oct;177(8):964-968. doi: 10.1016/j.neurol.2020.08.012. Epub 2021 Jun 29. PMID: 34215428.
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Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach.

Epilepsy & behavior : E&B

Kostev K, Wu T, Wang Y, Chaudhuri K, Tanislav C.
PMID: 34325155
Epilepsy Behav. 2021 Sep;122:108211. doi: 10.1016/j.yebeh.2021.108211. Epub 2021 Jul 26.

BACKGROUND: The goal of this cohort study was to estimate the predictors for ischemic stroke in patients with epilepsy in a large database containing data from general practitioners in Germany using machine learning methods.METHODS: This retrospective cohort study included...

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Kostev K, Wu T, Wang Y, et al. Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach. Epilepsy Behav. 2021;122:108211doi: 10.1016/j.yebeh.2021.108211.
Kostev, K., Wu, T., Wang, Y., Chaudhuri, K., & Tanislav, C. (2021). Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach. Epilepsy & behavior : E&B, 122108211. https://doi.org/10.1016/j.yebeh.2021.108211
Kostev, Karel, et al. "Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach." Epilepsy & behavior : E&B vol. 122 (2021): 108211. doi: https://doi.org/10.1016/j.yebeh.2021.108211
Kostev K, Wu T, Wang Y, Chaudhuri K, Tanislav C. Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach. Epilepsy Behav. 2021 Sep;122:108211. doi: 10.1016/j.yebeh.2021.108211. Epub 2021 Jul 26. PMID: 34325155.
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Maternal risk factors for neonatal ischaemic stroke.

Developmental medicine and child neurology

Grunt S, Steinlin M.
PMID: 23067371
Dev Med Child Neurol. 2013 Jan;55(1):8-9. doi: 10.1111/j.1469-8749.2012.04417.x. Epub 2012 Oct 16.

No abstract available.

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Grunt S, Steinlin M. Maternal risk factors for neonatal ischaemic stroke. Dev Med Child Neurol. 2012;55(1):8-9doi: 10.1111/j.1469-8749.2012.04417.x.
Grunt, S., & Steinlin, M. (2013). Maternal risk factors for neonatal ischaemic stroke. Developmental medicine and child neurology, 55(1), 8-9. https://doi.org/10.1111/j.1469-8749.2012.04417.x
Grunt, Sebastian, and Steinlin, Maja. "Maternal risk factors for neonatal ischaemic stroke." Developmental medicine and child neurology vol. 55,1 (2013): 8-9. doi: https://doi.org/10.1111/j.1469-8749.2012.04417.x
Grunt S, Steinlin M. Maternal risk factors for neonatal ischaemic stroke. Dev Med Child Neurol. 2013 Jan;55(1):8-9. doi: 10.1111/j.1469-8749.2012.04417.x. Epub 2012 Oct 16. PMID: 23067371.
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Stroke epidemiology and COVID-19 pandemic.

Current opinion in neurology

Logroscino G, Beghi E.
PMID: 33278139
Curr Opin Neurol. 2021 Feb 01;34(1):3-10. doi: 10.1097/WCO.0000000000000879.

PURPOSE OF REVIEW: The aim of this study was to describe the impact of the COVID-19 outbreak on the epidemiology, cause and clinical characteristics of incident stroke in different settings and populations.RECENT FINDINGS: Several studies have shown that there...

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Logroscino G, Beghi E. Stroke epidemiology and COVID-19 pandemic. Curr Opin Neurol. 2021;34(1):3-10doi: 10.1097/WCO.0000000000000879.
Logroscino, G., & Beghi, E. (2021). Stroke epidemiology and COVID-19 pandemic. Current opinion in neurology, 34(1), 3-10. https://doi.org/10.1097/WCO.0000000000000879
Logroscino, Giancarlo, and Beghi, Ettore. "Stroke epidemiology and COVID-19 pandemic." Current opinion in neurology vol. 34,1 (2021): 3-10. doi: https://doi.org/10.1097/WCO.0000000000000879
Logroscino G, Beghi E. Stroke epidemiology and COVID-19 pandemic. Curr Opin Neurol. 2021 Feb 01;34(1):3-10. doi: 10.1097/WCO.0000000000000879. PMID: 33278139.
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