| Literature DB >> 28095900 |
Milija D Mijajlović1, Aleksandra Pavlović2, Michael Brainin3, Wolf-Dieter Heiss4, Terence J Quinn5, Hege B Ihle-Hansen6, Dirk M Hermann7, Einor Ben Assayag8,9, Edo Richard10, Alexander Thiel11, Efrat Kliper8,9, Yong-Il Shin12, Yun-Hee Kim13, SeongHye Choi14, San Jung15, Yeong-Bae Lee16, Osman Sinanović17, Deborah A Levine18, Ilana Schlesinger19,20, Gillian Mead21, Vuk Milošević22, Didier Leys23, Guri Hagberg6, Marie Helene Ursin6, Yvonne Teuschl3, Semyon Prokopenko24, Elena Mozheyko24, Anna Bezdenezhnykh24, Karl Matz3, Vuk Aleksić25, DafinFior Muresanu26, Amos D Korczyn27, Natan M Bornstein8,9.
Abstract
Post-stroke dementia (PSD) or post-stroke cognitive impairment (PSCI) may affect up to one third of stroke survivors. Various definitions of PSCI and PSD have been described. We propose PSD as a label for any dementia following stroke in temporal relation. Various tools are available to screen and assess cognition, with few PSD-specific instruments. Choice will depend on purpose of assessment, with differing instruments needed for brief screening (e.g., Montreal Cognitive Assessment) or diagnostic formulation (e.g., NINDS VCI battery). A comprehensive evaluation should include assessment of pre-stroke cognition (e.g., using Informant Questionnaire for Cognitive Decline in the Elderly), mood (e.g., using Hospital Anxiety and Depression Scale), and functional consequences of cognitive impairments (e.g., using modified Rankin Scale). A large number of biomarkers for PSD, including indicators for genetic polymorphisms, biomarkers in the cerebrospinal fluid and in the serum, inflammatory mediators, and peripheral microRNA profiles have been proposed. Currently, no specific biomarkers have been proven to robustly discriminate vulnerable patients ('at risk brains') from those with better prognosis or to discriminate Alzheimer's disease dementia from PSD. Further, neuroimaging is an important diagnostic tool in PSD. The role of computerized tomography is limited to demonstrating type and location of the underlying primary lesion and indicating atrophy and severe white matter changes. Magnetic resonance imaging is the key neuroimaging modality and has high sensitivity and specificity for detecting pathological changes, including small vessel disease. Advanced multi-modal imaging includes diffusion tensor imaging for fiber tracking, by which changes in networks can be detected. Quantitative imaging of cerebral blood flow and metabolism by positron emission tomography can differentiate between vascular dementia and degenerative dementia and show the interaction between vascular and metabolic changes. Additionally, inflammatory changes after ischemia in the brain can be detected, which may play a role together with amyloid deposition in the development of PSD. Prevention of PSD can be achieved by prevention of stroke. As treatment strategies to inhibit the development and mitigate the course of PSD, lowering of blood pressure, statins, neuroprotective drugs, and anti-inflammatory agents have all been studied without convincing evidence of efficacy. Lifestyle interventions, physical activity, and cognitive training have been recently tested, but large controlled trials are still missing.Entities:
Keywords: Biomarkers; Cognitive impairment; Definitions and classification; Dementia; Diagnosis; Interventions; Neuroimaging; Stroke
Mesh:
Substances:
Year: 2017 PMID: 28095900 PMCID: PMC5241961 DOI: 10.1186/s12916-017-0779-7
Source DB: PubMed Journal: BMC Med ISSN: 1741-7015 Impact factor: 8.775
Fig. 1Venn diagram illustrating the overlap of constructs used to define cognitive states relevant to stroke. CI cognitive impairment, PSD post-stroke dementia, VaD vascular dementia, VCI vascular cognitive impairment
Properties of selected post-stoke dementia assessment scales
| Test | Sensitivity | Specificity | Free to use | Time to administer (min) | Validated in stroke | Suitable for aphasia |
|---|---|---|---|---|---|---|
| ACE-R | 0.96 | 0.70 | Yes | 20 | Yes | No |
| IQCODEa | 0.81 | 0.83 | Yes | 5 | Partial | Yes |
| MMSE | 0.72 | 0.82 | No | 5 | Yes | No |
| MoCA (<26/30) | 0.95 | 0.45 | Yes | 10 | Yes | No |
| MoCA (<22/30) | 0.85 | 0.76 | Yes | 10 | Yes | No |
| R-CAMCOG | 0.81 | 0.92 | No | 15 | Yes | No |
Test properties are from meta-analyses and describe accuracy at conventional thresholds unless otherwise stated
ACE-R Addenbrookes Cognitive Evaluation Revised, MMSE Mini-Mental State Examination, MoCA Montreal Cognitive Assessment, R-CAMCOG Rotterdam CAMCOG
aAccuracy of IQCODE for assessment of PSD in the longer term after stroke
Risk factors for PSD [30, 31]
| Demographic factors | Age (over 65 years) |
| Lower educational level | |
| Female sex | |
| Non-Caucasian origin | |
| Pre-stroke factors | Physical impairment |
| Cognitive decline | |
| Index stroke factors | Hemorrhagic stroke |
| Supratentorial stroke location | |
| Dominant hemisphere stroke | |
| Recurrent strokes | |
| Post-stroke factors | Infection |
| Delirium | |
| Early seizures | |
| Neuroimaging factors | Cerebral small-vessel disease |
| Cortical atrophy | |
| Medial temporal lobe atrophy |
Fig. 2Cognitive “trajectory” in stroke. a A traditional view of post-stroke cognitive decline where, following a stroke, some have a degree of fixed cognitive decline causing a dementia that can be detected using a cognitive screening tool. b The “real world”, where there are various degrees of pre-stroke cognitive decline and various post-stroke various cognitive trajectories. This complexity requires differing approaches to assessment at various time-points