Skip to main content

Transient cognitive impairment in the acute phase of stroke – prevalence, risk factors and influence on long-term prognosis in population of patients with stroke (research study – part of the PROPOLIS study)

Abstract

Background

Cognitive impairment is a common complication of the acute phase of stroke, which can be transient and resolve while still in the hospital. This study evaluated the prevalence and risk factors for transient cognitive impairment and their impact on long-term prognosis in a population of acute-phase stroke patients.

Methods

Consecutive patients admitted to a stroke unit with acute stroke or transient ischemic attack were screened twice for cognitive impairment using the parallel version of Montreal Cognitive Assessment: the first time between the first and third day and the second time between the fourth and seventh day of hospitalization. If the second test score increased by two or more points, transient cognitive impairment was diagnosed. Patients were scheduled for follow-up visits three and 12 months after stroke. Outcome assessment included place of discharge, current functional status, dementia, or death.

Results

Four hundred forty-seven patients were included in the study, 234 (52.35%) were diagnosed with transient cognitive impairment. Delirium was the only independent risk factor for transient cognitive impairment (OR 2.417, 95%CI 1.096–5.333, p = 0.029). In the analysis of effects on three- and twelve-month prognosis, patients with transient cognitive impairment had a lower risk of hospital or institution stay 3 months after stroke compared with patients with permanent cognitive impairment (OR 0.396, 95%CI 0.217–0.723, p = 0.003). There was no significant effect on mortality, disability or risk of dementia.

Conclusions

Transient cognitive impairment, which often occurs in the acute phase of stroke, does not increase the risk of long-term complications.

Peer Review reports

Background

Cognitive impairment (CI) is a common complication of stroke, leading to increased risk of mortality, disability and institutionalization [1,2,3]. Cognitive deficits often develop in the acute phase of stroke and affect between 59 and 88% of stroke survivors [4,5,6]. CI identified early after stroke has been shown to predict functional outcomes and subsequent cognitive deficits in the long-term [6, 7]. In acute stroke survivors, CI may be transient and resolve during hospitalization [8].

Delirium, a transient condition of impaired attention and consciousness, is one of the most common complication of acute hospital admissions, leading to increased post-discharge mortality and institutionalization [9]. Post-stroke delirium occurs in about a fourth of acute stroke patients [10], and is similarly associated with worse outcomes, increasing the risk of death, functional disability and nursing home placement [11, 12]. Delirium and transient CI seem to be distinct disease entities, but their symptoms may overlap being difficult to differentiate in the clinical practice. Post-stroke delirium has been extensively described in the literature, but so far, the prevalence and impact of transient CI, which occurs and resolves during hospitalization, on subsequent prognosis of stroke patients has not been studied.

Therefore, the aim of this study was to evaluate the prevalence and factors associated with transient CI that occurs and resolves during the acute phase of stroke, and to investigate the impact of these transient cognitive deficits on three-month and one-year prognosis.

Methods

This study was part of a large single-center PRospective Observational POLIsh Study on post-stroke delirium (“PROPOLIS”) conducted at Jagiellonian University Medical College in Kraków, Poland [13]. All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments. Informed written consent was provided by each participant or a caregiver. The study protocol was approved by the Bioethics Committee of Jagiellonian University (KBET/63/B/2014).

Consecutive patients with acute stroke or transient ischemic attack (TIA) admitted to the Stroke Unit of the University Hospital in Kraków, fulfilling the inclusion criteria (patients > 18 years of age, admitted within 48 hours of the first stroke symptoms, Polish-speaking), and in whom cognitive performance could be assessed twice during the hospital stay were included in the study. Patients with coma, brain tumor, alcohol withdrawal delirium, cerebral venous thrombosis, subarachnoid hemorrhage, trauma, disease with life expectancy < 12 months and those who were not able to be evaluated with MoCA, or did not consent for the cognitive examination in hospital were excluded from the study. Cognitive status was assessed using two parallel versions of the Montreal Cognitive Assessment (MoCA) [14]; the first time between the first and third day and the second time between the fourth and seventh day after stroke. The time between the two assessments was three to four days in each case. A trained psychologist was responsible for cognitive assessment, and the senior neurologist/neuropsychologist evaluated all data.

Two MoCA test scores were compared in each case. If the second test score increased by two or more points, transient CI was diagnosed. When the second cognitive assessment showed a score two or more points lower, patients were defined “cognitively impaired”. If the score did not change or the MoCA score difference was less than two points, patients were classified as “cognitively stable”.

Data were also collected regarding socio-demographic factors (age, gender, education), medical history (comorbidities, medications, infections, biochemical disturbances), and stroke-related features (type of stroke, severity, stroke symptoms). The Cumulative Illness Rating Scale (CIRS) was used as a general indicator of health status [15]. On admission, information was obtained from a spouse or a caregiver regarding pre-stroke cognitive functioning on the Polish version of Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) [16, 17]. Disability prior to admission was assessed by the modified Rankin Scale (mRS) [18].

All patients had neuroimaging (computed tomography/magnetic resonance) performed during admission. The severity of clinical deficit was graded by the National Institutes of Health Stroke Scale (NIHSS) [19], upon admission. Furthermore, the subtype of ischemic stroke was evaluated using the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classification [20]. Data regarding aphasia, neglect or vision deficits were also collected.

Every day, from admission to the seventh day of hospitalization, patients were tested for delirium using the abbreviated version of Confusion Assessment Method (bCAM). In patients with motor aphasia or in those who could not communicate for other reasons, the Intensive Care Unit version (CAM-ICU) was used [21, 22].

All patients discharged from the hospital were scheduled for follow-up visits three and 12 months after stroke with a tolerance of up to 4 days each way. If any patient failed to show up for an appointment, they were contacted the same day and interviewed by telephone. In cases where patients could not be interviewed, the patient’s caregiver was contacted and interviewed. Outcome assessment included place of discharge (home, rehabilitation hospital, or long-term institution), current functional status (mRS), or death. Mortality data were collected when a researcher was reliably informed of the participant’s death, usually by a close informant from the participant’s household. At follow-up outpatient visits, patients underwent neuropsychological testing. The details of cognitive evaluation were described elsewhere [23]. Adverse prognosis was defined as the occurrence of any of the following: death, increase in mRS score by ≥1 (between pre-hospital and follow-up visit), hospital or institution stay, and dementia.

Statistical analysis was performed using Statistica 13.3 software (StatSoft®, Poland). Qualitative variables were compared using the chi-squared test with or without Yates’ correction, while quantitative variables were compared with the Mann-Whitney U test, or in case of more than two groups with Kruskal–Wallis H test (one-way ANOVA on ranks), due to non-normal data distribution. In search of independent risk factors for the incidence of transient CI compared to ‘cognitively stable’ cases, univariate logistic regression models including considerable demographic and clinical factors, and then a multivariate logistic regression model, adjusted for age, gender, years of education, CIRS score, NIHSS score and other relevant variables at P-value < 0.01, were performed. To analyze the influence of transient CI on further prognosis, its predictive values on death, increase in mRS score of ≥1, hospital or institution stay, and dementia were calculated. Patients with transient CI were separately compared to cases with stable and decreasing MoCA score. Each outcome analysis included first multivariate logistic regression model adjusted for age, gender, years of education, CIRS score and NIHSS score, and the second – adjusted also for the incidence of in-hospital delirium. Continuous values were presented as medians with interquartile ranges (IQRs), and predictive values – as odds ratios (ORs) with 95% confidence intervals (CIs). P-values < 0.05 were considered statistically significant.

Results

Of the 750 consecutive stroke patients initially enrolled in the study, 447 (59.60%) were eventually included, having both MoCAs performed in hospital. Differences in socio-demographic, medical and stroke-related factors between included and excluded cases are presented in Table 1. There were more men in the included group, patients were younger and with longer education. The etiology of stroke was more often cardioembolic and less often small vessel occlusion in the included patients compared to excluded cases. Stroke affected the right hemisphere of the brain or posterior vasculature more often than the left hemisphere in the included patients. Patients included in the study also had lower CIRS, NIHSS, pre-hospital mRS and IQCODE scores and lower CRP levels. Subjects included in the study were less likely to be diagnosed with aphasia, visual impairment and delirium during their hospital stay. Finally, there was a lower in-hospital mortality in the group included in the study.

Table 1 Comparison of socio-demographic, medical and stroke-related factors between included and excluded patients into the study

Of the 447 patients, we classified 234 (52.35%) as having transient CI, 135 (30.20%) as “cognitively stable” and 78 (17.45%) as “cognitively impaired”. Comparison in socio-demographic, medical and stroke-related factors between these three groups is presented in Table S1 in the supplementary material. The patients differed in terms of age, length of education, frequency of atrial fibrillation, CIRS, neglect and vision deficits in hospital, pre-hospital mRS and CRP level. Patients cognitively impaired were older, less educated, more often had higher CIRS score and pre-hospital, mRS, atrial fibrillation, vision deficits, neglect, higher CRP levels and delirium at the hospital,

Significant predictors of transient CI after stroke compared to stable cognitive status in the univariate logistic regression analysis are shown in Table 2. Older and less educated patients and patients with in-hospital delirium had a higher risk of transient CI. In the multivariate logistic regression model, only delirium remained an independent risk factor for transient CI (OR 2.417, 95%CI 1.096–5.333, p = 0.029).

Table 2 Analysis of risk factors for post-stroke transient cognitive impairment (CI) compared to patients with stable MoCA score in the univariate logistic regression model

Out of the 447 patients at the three-month follow-up, 297 attended face-to-face visits, 106 were interviewed by telephone or the interviews were collected from the caregivers, 23 died and there was no contact to 21 cases. Then, out of the 424 remaining patients at the twelve-month follow-up, 213 attended face-to-face visits, 157 were interviewed by telephone or the interviews were collected from the caregivers, 23 died and there was no contact to 31 cases.

The effect of transient CI on further prognosis 3 months and 1 year after stroke was compared separately for “cognitively stable” and “cognitively impaired” cases. The results are presented in Tables 3, 4, 5 and 6. Patients with transient CI had a lower risk for hospital or institution stay 3 months after stroke compared to “cognitively impaired” (OR 0.396, 95%CI 0.217–0.723, p = 0.003) and this was the only significant association in the multivariate regression models adjusted for age, gender, years of education, CIRS score and NIHSS score. Adjusting for the incidence of in-hospital delirium did not influence the results.

Table 3 Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively stable’ patients on three-month prognosis
Table 4 Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively impaired’ patients on three-month prognosis
Table 5 Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively stable’ patients on one-year prognosis
Table 6 Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively impaired’ patients on one-year prognosis

We also performed a post-hoc analysis, where the effect of transient CI on prognosis was calculated after excluding cases with delirium. The results are presented in the supplementary material (Tables S2, S3, S4, S5). Similarly, the only significant association in multivariate regression models was a lower risk of hospital or nursing home stay in patients with transient CI 3 months after stroke compared to “cognitively impaired” individuals (OR 0.473, 95%CI 0.232–0.946, p = 0.039).

In the second post-hoc analysis, our study population was divided into two subgroups based on the first MoCA score with a cut-off point between 23 and 24. The influence of transient CI on prognosis is shown in the supplementary material (Tables S6, S7, S8, S9, S10, S11, S12 and S13). We did not observe many differences in the results comparing to the main analysis. Based on the multivariate regression model, in the subgroup of cases with first MoCA score ≥ 24 patients with transient CI had a lower risk for the worse outcome 3 months after stroke compared to “cognitively impaired” (OR 0.279, 95%CI 0.082–0.948, p = 0.041), while in the subgroup of cases with first MoCA score < 24 patients with transient CI had a lower risk for the worse outcome 3 months after stroke compared to “cognitively stable” (OR 0.151, 95%CI 0.034–0.659, p = 0.012).

Discussion

The results of the study showed that transient CI was a common complication in the acute phase of stroke, affecting about half of the patients studied. Transient CI was significantly associated with the occurrence of delirium. The presence of transient CI had no negative impact on long-term prognosis in both the overall analysis and additional analyses with cognitive impairment severity (≥24 vs < 24 points in MoCA). Patients with transient CI were less likely to require nursing home placement at 3 months after stroke than patients with permanent cognitive impairment.

The prevalence of transient CI in our study was 52.35%. In the only study published to date on transient CI after stroke, Pendlebury et al. assessed the prevalence of transient CI after stroke, defining transient CI as a baseline Mini-Mental State Examination (MMSE) score ≥ 2 points lower than at follow-up 1 month later [8]. The prevalence of transient CI was 38.9 and 19% depending on the time at which the baseline assessment was performed: within the first 7 days and 7 days after the event, respectively. Patients were included in this study after TIA or minor stroke. We decided to use the MoCA as a more appropriate test for assessing cognitive deficits in patients with vascular cognitive impairment than MMSE, and to evaluate patients for transient CI only in the acute phase of stroke. Currently, there is no established definition of transient CI after stroke. However, the problem appears to be frequent and relevant in clinical practice, and efforts should be made to develop one.

Our study showed no effect of transient CI in the acute phase of stroke on one-year prognosis compared to patients with stable cognition. Compared to “cognitively impaired” patients, those with transient CI had a lower risk of hospital or institution stay 3 months after stroke. No other significant associations were found, including mortality, disability and dementia risk. Pendlebury et al. showed that transient CI after TIA or minor stroke was associated with subsequent cognitive long-term cognitive decline. The correlation between transient CI and mortality, disability or institutionalization was not assessed in this study [8].

In our study, only the change in MoCA score during the hospital stay was considered, regardless of the patient’s cognitive status. However, cognitive deficits have been shown to affect poorer prognosis [24]. Patients with transient CI and stable during hospitalization did not differ in IQCODE questionnaire scores at admission. To get a better look at the possible effect of cognitive performance level on prognosis, we divided patients into subgroups according to their first MoCA score. Patients with a higher MoCA score (≥ 24) and transient CI had a better prognosis compared to those with declining cognition, while patients with a lower MoCA (< 24) score and transient CI had a better prognosis compared to those with stable cognition. No significant differences were found when considering mortality, disability, institutionalization and incidence of long-term dementia separately.

Cognitive decline early after stroke adversely affects prognosis. Zietemann et al. confirmed that decreased MoCA score during first 7 days after stroke correlated with an increased risk of three-year mortality, functional impairment and cognitive impairment [25], whereas Li et al. found that cognitive impairment diagnosed within 7 days after stroke was associated with higher risk of disability and poor activity of daily living in six-month follow-up [5]. These observations suggest that transient CI in the acute phase of stroke may not be as detrimental as persistent cognitive impairment and that the prognosis for patients with transient CI is more similar to those without cognitive deficits after stroke. Transient CI probably reflects a transient disturbance of brain homeostasis after stroke, rather than a trigger mechanism of the dementing process. This issue requires further research.

The relationship between delirium and transient CI has not been studied to date. Delirium is a complex condition that most commonly affects older patients in acute hospital settings. The definition of delirium includes transient and fluctuating symptoms of impaired attention and consciousness, as well as CI such as memory or language deficits [26]. In our study delirium was diagnosed in only 17.52% of patients with transient CI, and it was found to be an independent risk factor for transient CI in the acute phase of stroke. Also Pendlebury et al. described a possible role of delirium in the development of transient CI [8]. Patients with transient CI and patients with delirium have different long-term prognosis. Unlike patients with transient CI, patients with delirium in the acute phase of stroke have negative prognosis [12]. Although some features of delirium and transient CI may overlap, delirium and transient CI are two different disease entities, and although there appears to be an association between delirium and transient CI, the mechanism and underlying factors remain unclear and require further study.

Recent studies link the MoCA to the length of education time [27]. Polish patients are generally characterized by a long duration of education in the community. Patients included in the study had an average history of 11–12 years of education, which may explain the relatively high MoCA score in this population and confirm previous observations.

The results of our study may constitute the base for further research. The problem of transient CI after stroke cannot be overlooked in the clinical practice, as its prevalence seems to be high. However, there is still no accurate definition of transient CI. The use of cognitive assessment screening scales, should be extended with full neuropsychological examination. Prospective studies might find most effective method for transient CI diagnosis. Furthermore, more emphasis should be put on the differentiation between transient CI, delirium and permanent cognitive deficits. These three conditions seem to have separate underlying mechanism, and have different influence for further patient’s condition and prognosis.

Our study has several advantages including large baseline study population, prospective design and complex evaluation of neurocognitive status in hospital. The same trained psychologist was responsible for all cognitive assessments making the bias of interobserver variation minimal. Moreover, the examination was supervised and all data were evaluated by the senior neurologist/neuropsychologist. To determine CI before stroke, information on cognitive status was obtained from caregivers on admission using the IQCODE. Scores on this scale did not differ between patients with fluctuating CI and others, nor was it a risk factor for transient CI during hospital stay. Presence of delirium was carefully evaluated every day.

We can find limitations in this research. First, we had to excluded approximately 40% of patients from the original pre-qualified group. The predominant reasons for exclusion from the study were factors preventing MoCA testing, such as aphasia, visual impairment or in-hospital death. Second, we listed a few differences between included and excluded cases that could influence the results and constituted bias. Third, although we used MoCA, two parallel versions to asses change in cognitive functioning, the difference of 2 points between two measurements and the time of measurement were arbitrarily agreed upon. Also, most of the study participants were not under constant neurologic care in our center after hospital discharge, so the study population could differ in the level of post-stroke rehabilitation plan, secondary prevention and treatment of stroke complication when examined at the follow-up time points.

Conclusions

In conclusion, transient CI, which often occurs in the acute phase of stroke, does not increase the risk of long-term complications, regardless of the level of cognitive functioning in the acute stage of stroke. Differentiation between transient CI, delirium and permanent cognitive deficits seems important in clinical practice for proper assessment of long-term prognosis.

Availability of data and materials

The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.

References

  1. Barba R, M del M M, Cemillán C, Delgado C, Domingo J, Del Ser T. Previous and incident dementia as risk factors for mortality in stroke patients. Stroke. 2002;33(8):1993–8.

    Article  PubMed  Google Scholar 

  2. Cumming TB, Brodtmann A, Darby D, Bernhardt J. The importance of cognition to quality of life after stroke. J Psychosom Res. 2014;77(5):374–9.

    Article  PubMed  Google Scholar 

  3. Pasquini M, Leys D, Rousseaux M, Pasquier F, Hénon H. Influence of cognitive impairment on the institutionalisation rate 3 years after a stroke. J Neurol Neurosurg Psychiatry. 2007;78(1):56–9.

    Article  CAS  PubMed  Google Scholar 

  4. Nys GMS, van Zandvoort MJE, de Kort PLM, Jansen BPW, de Haan EHF, Kappelle LJ. Cognitive disorders in acute stroke: prevalence and clinical determinants. Cerebrovasc Dis. 2007;23(5–6):408–16.

    Article  CAS  PubMed  Google Scholar 

  5. Li J, Wang J, Wu B, Xu H, Wu X, Zhou L, et al. Association between early cognitive impairment and midterm functional outcomes among Chinese acute ischemic stroke patients: a longitudinal study. Front Neurol. 2020;11:20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. 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 Sep;260(9):2220–7.

    Article  CAS  PubMed  Google Scholar 

  7. Wagle J, Farner L, Flekkoy K, Bruun Wyller T, Sandvik L, Fure B, et al. Early post-stroke cognition in stroke rehabilitation patients predicts functional outcome at 13 months. Dement Geriatr Cogn Disord. 2011;31(5):379–87.

    Article  PubMed  Google Scholar 

  8. Pendlebury ST, Wadling S, Silver LE, Mehta Z, Rothwell PM. Transient cognitive impairment in TIA and minor stroke. Stroke. 2011;42(11):3116–21.

    Article  PubMed  Google Scholar 

  9. Witlox J, Eurelings LSM, de Jonghe JFM, Kalisvaart KJ, Eikelenboom P, van Gool WA. Delirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: a meta-analysis. JAMA. 2010;304(4):443–51.

    Article  CAS  PubMed  Google Scholar 

  10. Pasińska P, Kowalska K, Klimiec E, Szyper-Maciejowska A, Wilk A, Klimkowicz-Mrowiec A. Frequency and predictors of post-stroke delirium in PRospective observational POLIsh study (PROPOLIS). J Neurol. 2018;265(4):863–70.

    Article  PubMed  Google Scholar 

  11. Dostovic Z, Smajlovic D, Ibrahimagic OC, Dostovic A. Mortality and functional disability of Poststroke delirium. Mater Sociomed. 2018;30(2):95–7.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Pasińska P, Wilk A, Kowalska K, Szyper-Maciejowska A, Klimkowicz-Mrowiec A. The long-term prognosis of patients with delirium in the acute phase of stroke: PRospective observational POLIsh study (PROPOLIS). J Neurol. 2019;266(11):2710–7.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Klimiec E, Dziedzic T, Kowalska K, Szyper A, Pera J, Potoczek P, et al. PRospective observational POLIsh study on post-stroke delirium (PROPOLIS): methodology of hospital-based cohort study on delirium prevalence, predictors and diagnostic tools. BMC Neurol. 2015;15:94.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nasreddine ZS, Phillips NA, Bedirian 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(4):696–9.

    Article  Google Scholar 

  15. de Groot V, Beckerman H, Lankhorst GJ, Bouter LM. How to measure comorbidity. A critical review of available methods. J Clin Epidemiol. 2003;56(3):221–9.

    Article  PubMed  Google Scholar 

  16. Jorm AF, Jacomb PA. The informant questionnaire on cognitive decline in the elderly (IQCODE): socio-demographic correlates, reliability, validity and some norms. Psychol Med. 1989;19(4):1015–22.

    Article  CAS  PubMed  Google Scholar 

  17. Klimkowicz A, Dziedzic T, Slowik A, Szczudlik A. Incidence of pre- and Poststroke dementia: Cracow stroke registry. Dement Geriatr Cogn Disord. 2002;14(3):137–40.

    Article  PubMed  Google Scholar 

  18. van Swieten JC, Koudstaal PJ, Visser MC, Schouten HJ, van Gijn J. Interobserver agreement for the assessment of handicap in stroke patients. Stroke. 1988;19(5):604–7.

    Article  PubMed  Google Scholar 

  19. Brott T, Adams HPJ, Olinger CP, Marler JR, Barsan WG, Biller J, et al. Measurements of acute cerebral infarction: a clinical examination scale. Stroke. 1989;20(7):864–70.

    Article  CAS  PubMed  Google Scholar 

  20. Adams HPJ, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of org 10172 in acute stroke treatment. Stroke. 1993;24(1):35–41.

    Article  PubMed  Google Scholar 

  21. Inouye SK, van Dyck CH, Alessi CA, Balkin S, Siegal AP, Horwitz RI. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med. 1990;113(12):941–8.

    Article  CAS  PubMed  Google Scholar 

  22. Ely EW, Inouye SK, Bernard GR, Gordon S, Francis J, May L, et al. Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU). JAMA. 2001;286(21):2703–10.

    Article  CAS  PubMed  Google Scholar 

  23. Droś J, Kowalska K, Pasińska P, Szyper-Maciejowska A, Gorzkowska A, Klimkowicz-Mrowiec A. Delirium post-stroke-influence on post-stroke dementia (research study-part of the PROPOLIS study). J Clin Med. 2020;9(7):2165.

  24. Barba R, Castro MD, del Mar MM, Rodriguez-Romero R, Rodríguez-García E, Cantón R, et al. Prestroke dementia. Cerebrovasc Dis. 2001;11(3):216–24.

    Article  CAS  PubMed  Google Scholar 

  25. Zietemann V, Georgakis MK, Dondaine T, Muller C, Mendyk A-M, Kopczak A, et al. Early MoCA predicts long-term cognitive and functional outcome and mortality after stroke. Neurology. 2018;91(20):e1838–50.

    Article  PubMed  Google Scholar 

  26. Klimiec E, Dziedzic T, Kowalska K, Slowik A, Klimkowicz-Mrowiec A. Knowns and unknowns about delirium in stroke: a review. Cogn Behav Neurol. 2016;29(4):174–89.

    Article  PubMed  Google Scholar 

  27. Borda MG, Reyes-Ortiz C, Pérez-Zepeda MU, Patino-Hernandez D, Gómez-Arteaga C, Cano-Gutiérrez CA. Educational level and its association with the domains of the Montreal cognitive assessment test. Aging Ment Health. 2019;23(10):1300–6.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

No funds.

Author information

Authors and Affiliations

Authors

Contributions

JD and AKM designed the study. JD, KK and PP collected the data. JD analysed the data. JD, KK and PP wrote the manuscript. AKM critically revied the manuscript. All authors revied and discussed the results, and commented on the manuscript. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Aleksandra Klimkowicz-Mrowiec.

Ethics declarations

Ethics approval and consent to participate

All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments. The study protocol was approved by the Bioethics Committee of Jagiellonian University (KBET/63/B/2014). Informed written consent was provided by each participant or a caregiver.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Table S1.

Comparison of patients with transient cognitive impairment (CI), stable MoCA score and cognitively impaired. Table S2. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively stable’ patients on three-month prognosis. Patients with delirium are excluded from the analysis. Table S3. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively impaired’ patients on three-month prognosis. Patients with delirium are excluded from the analysis. Table S4. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively stable’ patients on one-year prognosis. Patients with delirium are excluded from the analysis. Table S5. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively impaired’ patients on one-year prognosis. Patients with delirium are excluded from the analysis. Table S6. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively stable’ patients on three-month prognosis. Only patients with first MoCA score ≥ 24 are included. Table S7. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively impaired’ patients on three-month prognosis. Only patients with first MoCA score ≥ 24 are included. Table S8. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively stable’ patients on one-year prognosis. Only patients with first MoCA score ≥ 24 are included. Table S9. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively impaired’ patients on one-year prognosis. Only patients with first MoCA score ≥ 24 are included. Table S10. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively stable’ patients on three-month prognosis. Only patients with first MoCA score < 23 are included. Table S11. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively impaired’ patients on three-month prognosis. Only patients with first MoCA score < 23 are included. Table S12. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively stable’ patients on one-year prognosis. Only patients with first MoCA score < 23 are included. Table S13. Influence of post-stroke transient cognitive impairment (CI) compared to ‘cognitively impaired’ patients on one-year prognosis. Only patients with first MoCA score < 23 are included.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Droś, J., Kowalska, K., Pasińska, P. et al. Transient cognitive impairment in the acute phase of stroke – prevalence, risk factors and influence on long-term prognosis in population of patients with stroke (research study – part of the PROPOLIS study). BMC Neurol 23, 75 (2023). https://doi.org/10.1186/s12883-023-03120-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12883-023-03120-x

Keywords