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Khayrullin A.T.

Dyurtyuli Central District Hospital

Kutlubaev M.A.

Bashkir State Medical University

Rakhmatullin A.R.

Bashkir State Medical University

CT-predictors of unfavorable outcome in hemorrhagic stroke

Authors:

Khayrullin A.T., Kutlubaev M.A., Rakhmatullin A.R.

More about the authors

Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(3‑2): 37‑41

DOI: 10.17116/jnevro202412403237

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Table of contents

CT-PREDICTORS OF UNFAVORABLE OUTCOME IN HEMORRHAGIC STROKE
CT-PREDICTORS OF UNFAVORABLE OUTCOME IN HEMORRHAGIC STROKE

To cite this article:

Khayrullin AT, Kutlubaev MA, Rakhmatullin AR. CT-predictors of unfavorable outcome in hemorrhagic stroke. S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(3‑2):37‑41. (In Russ.)
https://doi.org/10.17116/jnevro202412403237

Подписка 2026 Журнал неврологии и психиатрии им. С.С. Корсакова. Спецвыпуски (S.S. Korsakov Journal of Neurology and Psychiatry (special issues))
 
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Abstract:

OBJECTIVE

To analyze the relationship between the changes on non-contrast CT of the head in patients with acute hemorrhagic stroke and its unfavorable outcome within 90 days.

MATERIAL AND METHODS

The retrospective analysis of the clinical, demographic parameters and results of CT of the head of all patients admitted to the stroke unit of the district hospital between January 2015 and December 2021 was performed. The data of 131 patients were included in the work (52% males), average age was 65.75±14.1.

RESULTS

Fatal outcomes were recorded in 13.7% of cases. The age of the patient, severity of neurological deficit and CT-signs predicting hematoma expansion were independent predictors of unfavorable outcomes of hemorrhagic stroke within 90 days.

CONCLUSION

Detection of the sings predicting hematoma enlargement on CT scans improves prognostication of the outcomes of hemorrhagic stroke.

Keywords:

cerebrovascular disease
computer tomography
hematoma
hemorrhagic stroke
outcome

Authors:

Khayrullin A.T.

Dyurtyuli Central District Hospital

Kutlubaev M.A.

Bashkir State Medical University

Rakhmatullin A.R.

Bashkir State Medical University

Received:

20.01.2022

Accepted:

25.01.2022

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References:

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  2. Morotti A, Boulouis G, Dowlatshahi D, et al. Standards for Detecting, Interpreting, and Reporting Noncontrast Computed Tomographic Markers of Intracerebral Hemorrhage Expansion. Ann Neurol. 2019;86(4):480-492. Epub 2019 Aug 24.  https://doi.org/10.1002/ana.25563
  3. Hatano S. Experience from a multicenter stroke register: a preliminary report. Bull World Health Organ. 1976;54(5):541-553. 
  4. Divani AA, Majidi S, Luo X, et al. The ABCs of accurate volumetric measurement of cerebral hematoma. Stroke. 2011;42(6):1569-1574. Epub 2011 May 12.  https://doi.org/10.1161/STROKEAHA.110.607861
  5. Zhang D, Chen J, Xue Q, et al. Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis. Biomed Res Int. 2018;2018:6038193. https://doi.org/10.1155/2018/6038193
  6. van Swieten JC, Hijdra A, Koudstaal PJ, van Gijn J. Grading white matter lesions on CT and MRI: a simple scale. J Neurol Neurosurg Psychiatry. 1990;53(12):1080-1083. https://doi.org/10.1136/jnnp.53.12.1080
  7. Kutlubaev MA, Shenkin SD, Farrall AJ, et al. CT and Clinical Predictors of Fatigue at One Month after Stroke. Cerebrovasc Dis Extra. 2013;3(1):26-34.  https://doi.org/10.1159/000347113
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  9. Spilker J, Kongable G, Barch C, et al. Using the NIH Stroke Scale to assess stroke patients. The NINDS rt-PA Stroke Study Group. J Neurosci Nurs. 1997;29(6):384-392.  https://doi.org/10.1097/01376517-199712000-00008
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  11. Morotti A, Arba F, Boulouis G, Charidimou A. Noncontrast CT markers of intracerebral hemorrhage expansion and poor outcome: A meta-analysis. Neurology. 2020;95(14):632-643.  https://doi.org/10.1212/WNL.0000000000010660
  12. Gladstone DJ, Aviv RI, Demchuk AM, et al. Effect of Recombinant Activated Coagulation Factor VII on Hemorrhage Expansion Among Patients With Spot Sign-Positive Acute Intracerebral Hemorrhage: The SPOTLIGHT and STOP-IT Randomized Clinical Trials. JAMA Neurol. 2019;76(12):1493-1501. https://doi.org/10.1001/jamaneurol.2019.2636
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