Early Post-stroke Cognition: In-hospital Predictors and the Association With Functional Outcome

Richa Sharma, Dania Mallick, Rafael H Llinas, Elisabeth B Marsh, Richa Sharma, Dania Mallick, Rafael H Llinas, Elisabeth B Marsh

Abstract

Purpose: To characterize and predict early post-stroke cognitive impairment by describing cognitive changes in stroke patients 4-8 weeks post-infarct, determining the relationship between cognitive ability and functional status at this early time point, and identifying the in-hospital risk factors associated with early dysfunction. Materials and Methods: Data were collected for 214 patients with ischemic stroke and 39 non-stroke controls. Montreal Cognitive Assessment (MoCA) exams were administered at post-hospitalization clinic visits approximately 4-8 weeks after infarct. MoCA scores were compared for patients with: no stroke, minor stroke [NIH Stroke Scale (NIHSS) < 5], and major stroke. Ordinal logistic regression was performed to assess the relationship between MoCA score and functional status [modified Rankin Scale score (mRS)] at follow-up. Predictors of MoCA < 26 and < 19 (cutoffs for mild and severe cognitive impairment, respectively) at follow-up were identified by multivariable logistic regression using variables available during hospitalization. Results: Post stroke cognitive impairment was common, with 66.8% of patients scoring < 26 on the MoCA and 22.9% < 19. The average total MoCA score at follow-up was 18.7 (SD 7.0) among major strokes, 23.6 (SD 4.8) among minor strokes, and 27.2 (SD 13.0) among non-strokes (p = <0.0001). The follow-up MoCA score was associated with the follow-up mRS in adjusted analysis (OR 0.69; 95% C.I. 0.59-0.82). Among patients with no prior cognitive impairment (N = 201), a lack of pre-stroke employment, admission NIHSS > 6, and left-sided infarct predicted a follow-up MoCA < 26 (c-statistic 0.75); while admission NIHSS > 6 and infarct volume > 17 cc predicted a MoCA < 19 (c-statistic 0.75) at follow-up. Conclusion: Many patients experience early post-stroke cognitive dysfunction that significantly impacts function during a critical time period for decision-making regarding return to work and future independence. Dysfunction measured at 4-8 weeks can be predicted during the inpatient hospitalization. These high-risk individuals should be identified for targeted rehabilitation and counseling to improve longer-term post-stroke outcomes.

Keywords: cognition; outcomes; recovery; rehabilitation; stroke.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2020 Sharma, Mallick, Llinas and Marsh.

Figures

Figure 1
Figure 1
MoCA scores by cognitive domain in subgroups of patients with no infarct (N = 39), minor stroke (N = 141), and major stroke (N = 73).

References

    1. Prencipe M, Ferretti C, Casini AR, Santini M, Giubilei F, Culasso F. Stroke, disability, and dementia: results of a population survey. Stroke. (1997) 28:531–6. 10.1161/01.STR.28.3.531
    1. Nys GM, van Zandvoort MJ, de Kort PL, Jansen BP, de Haan EH, Kappelle LJ. Cognitive disorders in acute stroke: prevalence and clinical determinants. Cerebrovasc Dis. (2007) 23:408–16. 10.1159/000101464
    1. Jaillard A, Naegele B, Trabucco-Miguel S, LeBas JF, Hommel M. Hidden dysfunctioning in subacute stroke. Stroke. (2009) 40:2473–9. 10.1161/STROKEAHA.108.541144
    1. MacKenzie G, Gould L, Ireland S, LeBlanc K, Sahlas D. Detecting cognitive impairment in clients with mild stroke or transient ischemic attack attending a stroke prevention clinic. Can J Neurosci Nurs. (2011) 33:47–50.
    1. Jokinen H, Melkas S, Ylikoski R, Pohjasvaara T, Kaste M, Erkinjuntti T, et al. . Post-stroke cognitive impairment is common even after successful clinical recovery. Eur J Neurol. (2015) 22:1288–94. 10.1111/ene.12743
    1. Lim KB, Kim J, Lee HJ, Yoo J, You EC, Kang J. Correlation between montreal cognitive assessment and functional outcome in subacute stroke patients with cognitive dysfunction. Ann Rehabil Med. (2018) 42:26–34. 10.5535/arm.2018.42.1.26
    1. Salvadori E, Pasi M, Poggesi A, Chiti G, Inzitari D, Pantoni L. Predictive value of MoCA in the acute phase of stroke on the diagnosis of mid-term cognitive impairment. J Neurol. (2013) 260:2220–7. 10.1007/s00415-013-6962-7
    1. Chen X, Duan L, Han Y, Tian L, Dai Q, Wang S, et al. . Predictors for vascular cognitive impairment in stroke patients. BMC Neurol. (2016) 16:115. 10.1186/s12883-016-0638-8
    1. Horstmann S, Rizos T, Rauch G, Arden C, Veltkamp R. Feasibility of the montreal cognitive assessment in acute stroke patients. Eur J Neurol. (2014) 21:1387–93. 10.1111/ene.12505
    1. Dong Y, Venketasubramanian N, Chan BP, Sharma VK, Slavin MJ, Collinson SL, et al. . Brief screening tests during acute admission in patients with mild stroke are predictive of vascular cognitive impairment 3-6 months after stroke. J Neurol Neurosurg Psychiatry. (2012) 83:580–5. 10.1136/jnnp-2011-302070
    1. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. (2005) 53:695–9. 10.1111/j.1532-5415.2005.53221.x
    1. Trzepacz PT, Hochstetler H, Wang S, Walker B, Saykin AJ, Alzheimer's Disease Neuroimaging Initiative . Relationship between the montreal cognitive assessment and mini-mental state examination for assessment of mild cognitive impairment in older adults. BMC Geriatr. (2015) 15:107. 10.1186/s12877-015-0103-3
    1. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. (1987) 40:373–83. 10.1016/0021-9681(87)90171-8
    1. Broderick JP, Brott TG, Duldner JE, Tomsick T, Huster G. Volume of intracerebral hemorrhage. A powerful and easy-to-use predictor of 30-day mortality. Stroke. (1993) 24:987–93. 10.1161/01.STR.24.7.987
    1. Manolio TA, Kronmal RA, Burke GL, Poirier V, O'Leary DH, Gardin JM, et al. . Magnetic resonance abnormalities and cardiovascular disease in older adults. The Cardiovascular Health Study. Stroke. (1994) 25:318–27. 10.1161/01.STR.25.2.318
    1. Yue NC, Arnold AM, Longstreth WT, Jr, Elster AD, Jungreis CA, O'Leary DH, et al. . Sulcal, ventricular, and white matter changes at MR imaging in the aging brain: data from the cardiovascular health study. Radiology. (1997) 202:33–9. 10.1148/radiology.202.1.8988189
    1. Sudre CH, Anson BG, Davagnanam I, Schmitt A, Mendelson AF, Prados F, et al. . Bullseye's representation of cerebral white matter hyperintensities. J Neuroradiol. (2018) 45:114–22. 10.1016/j.neurad.2017.10.001
    1. Adams HP, Davis PH, Leira EC, Chang KC, Bendixen BH, Clarke WR, et al. . Baseline NIH Stroke Scale score strongly predicts outcome after stroke: a report of the Trial of Org 10172 in Acute Stroke Treatment (TOAST). Neurology. (1999) 53:126–31. 10.1212/WNL.53.1.126
    1. Mijajlović MD, Pavlović A, Brainin M, Heiss WD, Quinn TJ, Ihle-Hansen HB, et al. . Post-stroke dementia - a comprehensive review. BMC Med. (2017) 15:11. 10.1186/s12916-017-0779-7
    1. Mellon L, Brewer L, Hall P, Horgan F, Williams D, Hickey A, et al. . Cognitive impairment six months after ischaemic stroke: a profile from the ASPIRE-S study. BMC Neurol. (2015) 15:31. 10.1186/s12883-015-0288-2
    1. Nijsse B, Visser-Meily JM, van Mierlo ML, Post MW, de Kort PL, van Heugten MC. Temporal evolution of poststroke cognitive impairment using the montreal cognitive assessment. Stroke. (2017) 48:98–104. 10.1161/STROKEAHA.116.014168
    1. Chaurasia RN, Sharma J, Pathak A, Mishra VN, Joshi D. Poststroke cognitive decline: a longitudinal study from a tertiary care center. J Neurosci Rural Pract. (2019) 10:459–64. 10.1055/s-0039-1697872
    1. Saver JL, Altman H. Relationship between neurologic deficit severity and final functional outcome shifts and strengthens during first hours after onset. Stroke. (2012) 43:1537–41. 10.1161/STROKEAHA.111.636928
    1. Dong Y, Slavin MJ, Chan BP, Venketasubramanian N, Sharma VK, Crawford JD, et al. . Cognitive screening improves the predictive value of stroke severity scores for functional outcome 3-6 months after mild stroke and transient ischaemic attack: an observational study. BMJ Open. (2013) 3:e003105. 10.1136/bmjopen-2013-003105
    1. Duering M, Righart R, Csanadi E, Jouvent E, Hervé D, Chabriat H, et al. . Incident subcortical infarcts induce focal thinning in connected cortical regions. Neurology. (2012) 79:2025–8. 10.1212/WNL.0b013e3182749f39
    1. Sachdev PS, Brodaty H, Valenzuela MJ, Lorentz L, Looi JC, Berman K, et al. . Clinical determinants of dementia and mild cognitive impairment following ischaemic stroke: the Sydney Stroke Study. Dement Geriatr Cogn Disord. (2006) 21:275–83. 10.1159/000091434
    1. Te M, Zhao E, Zheng X, Sun Q, Qu C. Leukoaraiosis with mild cognitive impairment. Neurol Res. (2015) 37:410–4. 10.1179/1743132815Y.0000000028
    1. Chander RJ, Lam BY, Lin X, Ng AY, Wong AP, Mok VC, et al. . Development and validation of a risk score (CHANGE) for cognitive impairment after ischemic stroke. Sci Rep. (2017) 7:12441. 10.1038/s41598-017-12755-z
    1. Béjot Y, Aboa-Eboulé C, Durier J, Rouaud O, Jacquin A, Ponavoy E, et al. . Prevalence of early dementia after first-ever stroke: a 24-year population-based study. Stroke. (2011) 42:607–12. 10.1161/STROKEAHA.110.595553

Source: PubMed

3
Sottoscrivi