Skip to main content

Advertisement

Log in

Factors predicting the Montreal cognitive assessment (MoCA) applicability and performances in a stroke unit

  • Original Communication
  • Published:
Journal of Neurology Aims and scope Submit manuscript

Abstract

The evaluation of cognitive status is not routine in the acute stroke setting. We aimed to investigate feasibility, applicability, and performances of the Montreal cognitive assessment (MoCA) in acute stroke patients. Consecutive stroke patients (ischemic or hemorrhagic) admitted to one stroke unit were evaluated 5–9 days after stroke with MoCA (score range: 0–30; higher scores indicate better cognitive performance). Pre-morbid functional and cognitive status was assessed by a structured interview to caregivers. Neuroimaging data regarding index stroke and pre-existing lesions were collected. From December 2009 to December 2010, out of 207 patients with stroke, 137 (66 %) were enrolled [mean age 69.2 ± 14.8 years; males 62 %; mean National Institute of Health and Stroke Scale (NIHSS) score 5.9 ± 7.9]. The most common reason for non-enrolment was unfitting the time window inclusion criteria. MoCA was entirely applicable to 113/137 (82.5 %) patients and the mean score was 17.8 ± 7.1. Multivariate analyses showed that non-applicability was associated with higher NIHSS scores [OR (95 % CI) = 1.4 (1.2–1.7) for each point], left sided lesions [OR (95 % CI) = 18.8 (2.3–155.2)], and worse pre-morbid functional status [OR (95 % CI) = 0.7 (0.6–0.9) for each point of the instrumental activity of daily living scale]. Factors influencing MoCA performance were low education (β = 0.264, p < 0.01), higher NIHSS scores (β = −0.277, p < 0.01) and worse pre-morbid functional status (β = 0.504, p < 0.001). MoCA administration is feasible in acute patients with mild-to-moderate stroke, with lesion location, stroke severity, and pre-morbid functional status as major determinants of its applicability and performance. MoCA seems to reveal some degree of cognitive deficit even in patients with mild stroke.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. De Ronchi D, Palmer K, Pioggiosi P, Atti AR, Berardi D, Ferrari B, Dalmonte E, Fratiglioni L (2007) The combined effect of age, education, and stroke on dementia and cognitive impairment no dementia in the elderly. Dement Geriatr Cogn Disord 24:266–273

    Article  PubMed  Google Scholar 

  2. Pendlebury ST, Rothwell PM (2009) Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: a systematic review and meta-analysis. Lancet Neurol 8:1006–1018

    Article  PubMed  Google Scholar 

  3. Pasquier F, Leys D (1997) Why are stroke patients prone to develop dementia? J Neurol 244:135–142

    Article  PubMed  CAS  Google Scholar 

  4. Leys D, Hénon H, Mackowiak-Cordoliani MA, Pasquier F (2005) Poststroke dementia. Lancet Neurol 4:752–759

    Article  PubMed  Google Scholar 

  5. Hénon H, Pasquier F, Leys D (2006) Poststroke dementia. Cerebrovasc Dis 22:61–70

    Article  PubMed  Google Scholar 

  6. Rasquin SM, Lodder J, Ponds RW, Winkens I, Jolles J, Verhey FR (2004) Cognitive functioning after stroke: a one-year follow-up study. Dement Geriatr Cogn Disord 18:138–144

    Article  PubMed  Google Scholar 

  7. Tham W, Auchus AP, Thong M, Goh ML, Chang HM, Wong MC, Chen CP (2002) Progression of cognitive impairment after stroke: one year results from a longitudinal study of Singaporean stroke patients. J Neurol Sci 203–204:49–52

    Article  PubMed  Google Scholar 

  8. Serrano S, Domingo J, Rodríguez-Garcia E, Castro MD, del Ser T (2007) Frequency of cognitive impairment without dementia in patients with stroke: a two-year follow-up study. Stroke 38:105–110

    Article  PubMed  Google Scholar 

  9. Duncan PW, Zorowitz R, Bates B, Choi JY, Glasberg JJ, Graham GD, Katz RC, Lamberty K, Reker D (2005) Management of adult stroke rehabilitation care: a clinical practice guideline. Stroke 36:100–143

    Article  Google Scholar 

  10. Miller EL, Murray L, Richards L, Zorowitz RD, Bakas T, Clark P, Billinger SA (2010) American heart association council on cardiovascular nursing and the stroke council. Comprehensive overview of nursing and interdisciplinary rehabilitation care of the stroke patient: a scientific statement from the American heart association. Stroke 41:2402–2448

    Article  PubMed  Google Scholar 

  11. Hachinski V, Iadecola C, Petersen RC, Breteler MM, Nyenhuis DL, Black SE, Powers WJ, DeCarli C, Merino JG, Kalaria RN, Vinters HV, Holtzman DM, Rosenberg GA, Wallin A, Dichgans M, Marler JR, Leblanc GG (2006) National institute of neurological disorders and stroke-Canadian stroke network vascular cognitive impairment harmonization standards. Stroke 37:2220–2241

    Article  PubMed  Google Scholar 

  12. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H (2005) The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 53:695–699

    Article  PubMed  Google Scholar 

  13. Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW (1963) Studies of illness in the aged. The index of ADL: a standardized measure of biological and psychosocial function. JAMA 185:914–919

    Article  PubMed  CAS  Google Scholar 

  14. Lawton MP, Brody EM (1969) Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9:179–186

    Article  PubMed  CAS  Google Scholar 

  15. Pantoni L, Basile AM, Pracucci G, Asplund K, Bogousslavsky J, Chabriat H, Erkinjuntti T, Fazekas F, Ferro JM, Hennerici M, O’brien J, Scheltens P, Visser MC, Wahlund LO, Waldemar G, Wallin A, Inzitari D (2005) Impact of age-related cerebral white matter changes on the transition to disability—the LADIS study: rationale, design and methodology. Neuroepidemiology 24:51–62

    Article  PubMed  Google Scholar 

  16. Jorm AF, Jacomb PA (1989) The informant questionnaire on cognitive decline in the elderly (IQCODE): socio-demographic correlates, reliability, validity and some norms. Psychol Med 19:1015–1022

    Article  PubMed  CAS  Google Scholar 

  17. Brott T, Adams HP Jr, Olinger CP, Marler JR, Barsan WG, Biller J, Spilker J, Holleran R, Eberle R, Hertzberg V et al (1989) Measurements of acute cerebral infarction: a clinical examination scale. Stroke 20:864–870

    Article  PubMed  CAS  Google Scholar 

  18. Teasdale G, Jennett B (1974) Assessment of coma and impaired consciousness. A practical scale. Lancet 2:81–84

    Article  PubMed  CAS  Google Scholar 

  19. Amarenco P, Bogousslavsky J, Caplan LR, Donnan GA, Hennerici MG (2009) New approach to stroke subtyping: the A-S-C-O (phenotypic) classification of stroke. Cerebrovasc Dis 27:502–508

    Article  PubMed  CAS  Google Scholar 

  20. van Swieten JC, Hijdra A, Koudstaal PJ, van Gijn J (1990) Grading white matter lesions on CT and MRI: a simple scale. J Neurol Neurosurg Psychiatry 53:1080–1083

    Article  PubMed  Google Scholar 

  21. de Leon MJ, Ferris SH, Blau I, George AE, Reisberg B, Kricheff II, Gershon S (1979) Correlations between computerised tomographic changes and behavioural deficits in senile dementia. Lancet 2:859–860

    Article  PubMed  Google Scholar 

  22. Micieli G, Bottini G, Cerri C et al. (2012) Complicanze psico-cognitive dell’ictus. In: SPREAD stroke prevention and educational awareness diffusion. Ictus cerebrale: linee guida italiane di prevenzione e trattamento.7th (ed) Pierrel Research Italy SpA, Milano, pp 100–111

  23. Pendlebury ST, Cuthbertson FC, Welch SJ, Mehta Z, Rothwell PM (2010) Underestimation of cognitive impairment by mini-mental state examination versus the Montreal cognitive assessment in patients with transient ischemic attack and stroke: a population-based study. Stroke 41:1290–1293

    Article  PubMed  Google Scholar 

  24. Godefroy O, Fickl A, Roussel M, Auribault C, Bugnicourt JM, Lamy C, Canaple S, Petitnicolas G (2011) Is the Montreal cognitive assessment superior to the mini-mental state examination to detect post-stroke cognitive impairment? A study with neuropsychological evaluation. Stroke 42:1712–1716

    Article  PubMed  Google Scholar 

  25. Dong Y, Sharma VK, Chan BP, Venketasubramanian N, Teoh HL, Seet RC, Tanicala S, Chan YH, Chen C (2010) The Montreal cognitive assessment (MoCA) is superior to the mini-mental state examination (MMSE) for the detection of vascular cognitive impairment after acute stroke. J Neurol Sci 299:15–18

    Article  PubMed  Google Scholar 

  26. Hajek VE, Rutman DL, Scher H (1989) Brief assessment of cognitive impairment in patients with stroke. Arch Phys Med Rehabil 70:114–117

    PubMed  CAS  Google Scholar 

  27. de Koning I, Dippel DW, van Kooten F (2000) A short screening instrument for post-stroke dementia: the R-CAMCOG. Stroke 31:1502–1508

    Article  PubMed  Google Scholar 

  28. Rossetti HC, Lacritz LH, Cullum CM, Weiner MF (2011) Normative data for the Montreal cognitive assessment (MoCA) in a population-based sample. Neurology 27:1272–1275

    Article  Google Scholar 

  29. MacKenzie G, Gould L, Ireland S, LeBlanc K, Sahlas S (2011) Detecting cognitive impairment in clients with mild stroke or transient ischemic attack attending a stroke prevention clinic. Can J Neurosci Nurs 33:47–50

    PubMed  Google Scholar 

  30. Toglia J, Fitzgerald KA, O’Dell MW, Mastrogiovanni AR, Lin DC (2011) The mini-mental state examination and Montreal cognitive assessment in persons with mild subacute stroke: relationship to functional outcome. Arch Phys Med Rehabil 92:792–798

    Article  PubMed  Google Scholar 

  31. Blackburn DJ, Bafadhel L, Randall M, Harkness AK (2012) Cognitive screening in the acute stroke setting. Age Ageing. doi:10.1093/ageing/afs116

    PubMed  Google Scholar 

  32. Nys GM, van Zandvoort MJ, de Kort PL, Jansen BPW, de Haan EH, Kappelle LJ (2007) Cognitive disorders in acute stroke: prevalence and clinical determinants. Cerebrovasc Dis 23:408–416

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

This study did not receive any corporate, governmental or institutional funding.

Conflicts of interest

All authors declare no conflict of interest.

Ethical standard agreement

This study was approved by the local ethics committee.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Leonardo Pantoni.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pasi, M., Salvadori, E., Poggesi, A. et al. Factors predicting the Montreal cognitive assessment (MoCA) applicability and performances in a stroke unit. J Neurol 260, 1518–1526 (2013). https://doi.org/10.1007/s00415-012-6819-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00415-012-6819-5

Keywords