Predictors of late post-stroke asthenia
https://doi.org/10.30629/2658-7947-2026-31-2-23-28
Abstract
The objective of the study was to analyze the clinical and laboratory factors in the acute period of ischemic stroke (IS) that predispose to the development of various manifestations of asthenia (pathological fatigue) 6 months later.
Material and methods. The data of 98 patients recruited in the acute period of IS and who agreed to a telephone interview 6 months later were analyzed. Post-stroke asthenia (PSA) was assessed using the subjective scale for assessing fatigue (MFI-20)). The severity of stroke (National Institutes of Health Stroke Scale (NIHSS), Rankin Scale, Rivermead Mobility Index), cognitive impairment, apathy, depression, anxiety, and laboratory and instrumental data obtained in acute period of stroke were registered. Linear regression analysis was performed to identify predictors of the severity of various manifestations of late-onset PSA.
Results. Cognitive decline was an independent predictor of the severity of general fatigue. The severity of stroke was a significant predictor of reduced activity and physical fatigue. Mobility impairment on the Rivermead scale was a predictor of decreased motivation. The severity of mental fatigue was associated with increased anxiety.
Conclusion. The data obtained demonstrate the clinical and pathogenetic heterogeneity of various manifestations of late PSA. This determines the need to develop differentiated approaches to the prevention of PSA.
About the Authors
A. I. AkhmetovaRussian Federation
Ufa
M. A. Kutlubaev
Russian Federation
Ufa
References
1. English C, Simpson DB, Billinger SA, Churilov L, Coupland KG, Drummond A, Kuppuswamy A, Kutlubaev MA, Lerdal A, Mahmood A, Moseley GL, Pittman QJ, Riley EA, Sutherland BA, Wong CH, Corbett D, Mead G. A roadmap for research in post-stroke fatigue: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable. Neurorehabil Neural Repair. 2024 Jan;38(1):7–18. doi: 10.1177/15459683231209170
2. Akhmetova AI, Kutlubaev MA. Asthenia in the acute period of ischemic stroke . S.S. Korsakov Journal of Neurology and Psychiatry. 2025;125(3 vyp 2):5–10. (In Russ.). https://doi.org/10.17116/jnevro20251250325
3. Etoom M, Battat MA, Hanafi I, Manocchio N, Foti C, Alghwiri A. Post stroke fatigue: Analysis of subtypes and associated factors. J Clin Neurosci. 2025 Sep;139:111418. doi: 10.1016/j.jocn.2025.111418. Epub 2025 Jun 23. PMID: 40555007
4. Adams HP Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, Marsh EE 3rd. Classifi cation of subtype of acute ischemic stroke. Defi nitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke. 1993 Jan;24(1):35–41. doi: 10.1161/01.str.24.1.35. PMID: 7678184
5. Larsen K, Jæger HS, Hov MR, Thorsen K, Solyga V, Lund CG, Bache KG. Streamlining Acute Stroke Care by Introducing National Institutes of Health Stroke Scale in the Emergency Medical Services: A Prospective Cohort Study. Stroke. 2022 Mar 16:STROKEAHA121036084. doi: 10.1161/STROKEAHA.121.036084
6. McGill K, Sackley C, Godwin J, Gavaghan D, Ali M, Ballester BR, Brady MC; VISTA-Rehabilitation collaborators. Using the Barthel Index and modifi ed Rankin Scale as Outcome Measures for Stroke Rehabilitation Trials; A Comparison of Minimum SampleSize Requirements. J Stroke Cerebrovasc Dis. 2022 Feb;31(2):106229. doi: 10.1016/j.jstrokecerebrovasdis.2021.106229
7. Rådman L, Forsberg A, Nilsagård Y. Modifi ed Rivermead Mobility Index: a reliable measure in people within 14 days poststroke. Physiother Theory Pract. 2015Feb;31(2):126–9. doi: 10.3109/09593985.2014.960055
8. Smets EM, Garssen B, Bonke B, De Haes JC. The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res. 1995 Apr;39(3):315–25. doi: 10.1016/0022-3999(94)00125-o. PMID: 7636775
9. Beck At, Ward Ch, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561– 571. https://doi.org/10.1001/archpsyc.1961.01710120031004
10. Khanin YuL. Brief manual on use of Spilberger's state anxiety and trait anxiety scale. L.: LNI-ITEK. 1976;40. (In Russ.).
11. Kutlubaev M, Akhmetova A, Radakovic R. Apathy subtypes in acute stroke: validation of the Russian self-rated Dimensional Apathy Scale. Egypt J Neurol Psychiatry Neurosurg. 2025;61:106 https://doi.org/10.1186/s41983-025-01037-5
12. Shi D, Chen X, Li Z. Diagnostic test accuracy of the Montreal Cognitive Assessment in the detection of post-stroke cognitive impairment under diff erent stages and cutoff s: a systematic review and meta-analysis. Neurol Sci. 2018;39(4):705–716. https://doi.org/10.1007/s10072-018-3254-0
13. Radman N, Staub F, Aboulafi a-Brakha T, Berney A, Bogousslavsky J, Annoni JM. Poststroke fatigue following minor infarcts: a prospective study. Neurology. 2012 Oct 2;79(14):1422– 7. doi: 10.1212/WNL.0b013e31826d5f3a. Epub 2012 Sep 5. PMID: 22955128.
14. Kutlubaev MA, Akhmetova AI. Poststroke Asthenic Disorder. Annals of Clinical and Experimental Neurology. 2023;17(4):64–71. (In Russ.). doi: https://doi.org/10.54101/ACEN.2023.4.8
15. Zhang S, Cheng S, Zhang Z, Wang C, Wang A, Zhu W. Related risk factors associated with post-stroke fatigue: a systematic review and meta-analysis. Neurol. Sci. 2021;42(4):1463–1471. doi: 10.1007/s10072-020-04633-w
Review
For citations:
Akhmetova A.I., Kutlubaev M.A. Predictors of late post-stroke asthenia. Russian neurological journal. 2026;31(2):23-28. (In Russ.) https://doi.org/10.30629/2658-7947-2026-31-2-23-28
JATS XML
























