Determinants of prestroke cognitive impairment in stroke associated with small vessel disease

Prestroke Cognitive Impairment: Frequency and Association With Premorbid Neuropsychiatric, Functional, and Neuroimaging Features

BACKGROUND

Some patients with stroke have prestroke cognitive impairment (pre-SCI), but its etiology is not clear. The aim of this cross-sectional study was to assess the frequency of pre-SCI and its association with premorbid neuropsychiatric, functional, and neuroimaging features.

METHODS

Patients hospitalized in stroke unit with an informant who could complete IQCODE (Informant Questionnaire for Cognitive Decline in the Elderly) were included. Pre-SCI was diagnosed if the IQCODE score was >3.3. Prestroke assessment also included NPI-Q (Neuropsychiatric Inventory Questionnaire), the basic Activities of Daily Living and Instrumental Activities of Daily Living scales, and the Clinical Dementia Rating scale. A multivariate logistic regression model was used to evaluate the association of pre-SCI with age, sex, education, arterial hypertension, atrial fibrillation, white matter lesions, cerebral microbleeds, and pathological medial temporal lobe atrophy.

RESULTS

IQCODE was available in 474 of 520 patients (91.2%; 45% women; mean age 75.5±13.3 years). Pre-SCI had a prevalence of 32.5% and was associated with prestroke NPI-Q (pre-SCI absent versus present, 1.7±2.3 versus 5.5±4.9; P<0.001), Activities of Daily Living scale (0.3±0.8 versus 1.8±1.9; P<0.001), Instrumental Activities of Daily Living scale (0.6±1.3 versus 3.8±4.0; P<0.001), and Clinical Dementia Rating scale score (0.7±1.7 versus 7.2±6.2; P<0.001). In the 271 patients with a magnetic resonance imaging available, the multivariate logistic regression showed that age (odds ratio [OR], 1.05 [95% CI, 1.62-9.73]), white matter lesions (OR, 1.26 [95% CI, 1.003-1.58]), and a pathological medial temporal lobe atrophy score (OR, 3.97 [95% CI, 1.62-9.73]) were independently associated with pre-SCI. In the 218 patients with ischemic stroke, white matter lesions (OR, 1.34 [95% CI, 1.04-1.72]) and medial temporal lobe atrophy (OR, 3.56 [95% CI, 1.38-9.19]), but not age, were associated with pre-SCI.

CONCLUSIONS

One-third of patients admitted to a stroke unit have pre-SCI that is associated with preexisting neuropsychiatric symptoms and functional performance. White matter lesions and medial temporal lobe atrophy are associated with pre-SCI, suggesting that both small vessel disease and neurodegeneration might be involved in its etiology.

Advances in the Role of Endothelial Cells in Cerebral Small Vessel Disease

Cerebral small vessel disease (CSVD) poses a serious socio-economic burden due to its high prevalence and severe impact on the quality of life of elderly patients. Pathological changes in CSVD mainly influence small cerebral arteries, microarteries, capillaries, and small veins, which are usually caused by multiple vascular risk factors. CSVD is often identified on brain magnetic resonance imaging (MRI) by recent small subcortical infarcts, white matter hyperintensities, lacune, cerebral microbleeds (CMBs), enlarged perivascular spaces (ePVSs), and brain atrophy. Endothelial cell (EC) dysfunction is earlier than clinical symptoms. Immune activation, inflammation, and oxidative stress may be potential mechanisms of EC injury. ECs of the blood–brain–barrier (BBB) are the most important part of the neurovascular unit (NVU) that ensures constant blood flow to the brain. Impaired cerebral vascular autoregulation and disrupted BBB cause cumulative brain damage. This review will focus on the role of EC injury in CSVD. Furthermore, several specific biomarkers will be discussed, which may be useful for us to assess the endothelial dysfunction and explore new therapeutic directions.

Pre-stroke cognitive impairment is associated with vascular imaging pathology: a prospective observational study

BACKGROUND

Chronic brain pathology and pre-stroke cognitive impairment (PCI) is predictive of post-stroke dementia. The aim of the current study was to measure pre-stroke neurodegenerative and vascular disease burden found on brain MRI and to assess the association between pre-stroke imaging pathology and PCI, whilst also looking for potential sex differences.

METHODS

This prospective brain MRI cohort is part of the multicentre Norwegian cognitive impairment after stroke (Nor-COAST) study. Patients hospitalized with acute ischemic or hemorrhagic stroke were included from five participating stroke units. Visual rating scales were used to categorize baseline MRIs (N = 410) as vascular, neurodegenerative, mixed, or normal, based on the presence of pathological imaging findings. Pre-stroke cognition was assessed by interviews of patients or caregivers using the Global Deterioration Scale (GDS). Stroke severity was assessed with the National Institute of Health Stroke Scale (NIHSS). Univariate and multiple logistic regression analyses were performed to investigate the association between imaging markers, PCI, and sex.

RESULTS

Patients' (N = 410) mean (SD) age was 73.6 (±11) years; 182 (44%) participants were female, the mean (SD) NIHSS at admittance was 4.1 (±5). In 68% of the participants, at least one pathological imaging marker was found. Medial temporal lobe atrophy (MTA) was present in 30% of patients, white matter hyperintensities (WMH) in 38% of patients and lacunes in 35% of patients. PCI was found in 30% of the patients. PCI was associated with cerebrovascular pathology (OR 2.5; CI = 1.4 to 4.5, p = 0.001) and mixed pathology (OR 3.4; CI = 1.9 to 6.1, p = 0.001) but was not associated with neurodegeneration (OR 1.0; CI = 0.5 to 2.2; p = 0.973). Pathological MRI markers, including MTA and lacunes, were more prevalent among men, as was a history of clinical stroke prior to the index stroke. The OR of PCI for women was not significantly increased (OR 1.2; CI = 0.8 to 1.9; p = 0.3).

CONCLUSIONS

Pre-stroke chronic brain pathology is common in stroke patients, with a higher prevalence in men. Vascular pathology and mixed pathology are associated with PCI. There were no significant sex differences for the risk of PCI.

TRIAL REGISTRATION

NCT02650531 , date of registration: 08.01.2016.

Biomarkers Related to Endothelial Dysfunction and Vascular Cognitive Impairment: A Systematic Review

INTRODUCTION

The damage in the endothelium and the neurovascular unit appears to play a key role in the pathogenesis of vascular cognitive impairment (VCI). Although there have been many advances in understanding the physiopathology of this disease, several questions remain unanswered. The association with other degenerative diseases and the heterogeneity of its clinical spectrum establish a diagnostic problem, compromising a better comprehension of the pathology and halting the development of effective treatments. The investigation of biomarkers is an important movement to the development of novel explicative models and treatment targets involved in VCI.

METHODS

We searched MEDLINE considering the original research based on VCI biomarkers in the past 20 years, following prespecified selection criteria, data extraction, and qualitative synthesis.

RESULTS

We reviewed 42 articles: 16 investigated plasma markers, 17 analyzed neuropathological markers, 4 studied CSF markers, 4 evaluated neuroimaging markers (ultrasound and MRI), and 1 used peripheral Doppler perfusion imaging.

CONCLUSIONS

The biomarkers in these studies suggest an intrinsic relationship between endothelial dysfunction and VCI. Nonetheless, there is still a need for identification of a distinctive set of markers that can integrate the clinical approach of VCI, improve diagnostic accuracy, and support the discovery of alternative therapies.

Pre-stroke cognitive impairment in acute ischemic stroke patients predicts poor functional outcome after mechanical thrombectomy

OBJECTIVE

Several studies have investigated the predictors of functional outcome in patients with ischemic stroke after mechanical thrombectomy (MT). However, it is not clear whether pre-stroke cognitive (PSC) impairment is associated with the functional outcome of patients treated with MT.

METHODS

We enrolled 113 patients treated with MT from December 2016 to November 2018. PSC was evaluated using the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Poor outcome was defined as a modified Rankin Scale score of 3-6. We compared the clinical characteristics between the groups with poor outcome (n = 61) and good outcome (n = 52) to determine if PSC could be a predictor of poor outcome.

RESULTS

IQCODE was significantly higher in the group with poor outcome than good outcome (3.34 vs. 3.13, P = 0.017). Moreover, the following metrics differed between those two groups: age (75.9 vs. 71.6 years old, P = 0.010), the percentage of females (39.9% vs. 17.3%, P = 0.009), the percentage with hypertension (72.1% vs. 44.2%, P = 0.003), National Institutes of Health Stroke Scale (NIHSS) score on admission (20 vs. 11, P < 0.001), and no successful recanalization (24.5% vs. 7.7%; P = 0.025). Multivariable logistic regression analysis demonstrated that PSC (OR: 5.59; 95% CI: 1.55-23.47), history of hypertension (OR: 3.33; 95% CI: 1.29-9.11), no successful recanalization (OR: 5.51; 95% CI: 1.49-25.03), and NIHSS score on admission (OR: 1.14; 95% CI: 1.07-1.22) were associated with poor outcome 3 months after stroke onset.

CONCLUSIONS

PSC was significantly and independently associated with poor functional outcome in patients treated with MT.

Cognitive Impairment Before Atrial Fibrillation-Related Ischemic Events: Neuroimaging and Prognostic Associations

Background

It is likely that a proportion of poststroke cognitive impairment is sometimes attributable to unidentified prestroke decline; prestroke cognitive function is also clinically relevant because it is associated with poor functional outcomes, including death. We investigated the radiological and prognostic associations of preexisting cognitive impairment in patients with ischemic stroke or transient ischemic attack associated with atrial fibrillation.

Methods and Results

We included 1102 patients from the prospective multicenter observational CROMIS‐2 (Clinical Relevance of Microbleeds in Stroke 2) atrial fibrillation study. Preexisting cognitive impairment was identified using the 16‐item Informant Questionnaire for Cognitive Decline in the Elderly. Functional outcome was measured using the modified Rankin scale. Preexisting cognitive impairment was common (n=271; 24.6%). The presence of lacunes (odds ratio [OR], 1.50; 95% CI, 1.03–1.05; P=0.034), increasing periventricular white matter hyperintensity grade (per grade increase, OR, 1.38; 95% CI, 1.17–1.63; P<0.0001), deep white matter hyperintensity grade (per grade increase, OR, 1.26; 95% CI, 1.05–1.51; P=0.011), and medial temporal atrophy grade (per grade increase, OR, 1.61; 95% CI, 1.34–1.95; P<0.0001) were independently associated with preexisting cognitive impairment. Preexisting cognitive impairment was associated with poorer functional outcome at 24 months (mRS >2; adjusted OR, 2.43; 95% CI, 1.42–4.20; P=0.001).

Conclusions

Preexisting cognitive impairment in patients with atrial fibrillation–associated ischemic stroke or transient ischemic attack is common, and associated with imaging markers of cerebral small vessel disease and neurodegeneration, as well as with longer‐term functional outcome.

Clinical Trial Registration

URL: http://www.clinicaltrials.gov. Unique identifier: NCT02513316.

What Kind of Brain Structural Connectivity Remodeling Can Relate to Residual Motor Function After Stroke?

Recent findings showed that brain networks far away from a lesion could be altered to adapt changes after stroke. This study examined 13 chronic stroke patients with moderate to severe motor impairment and 13 age-comparable healthy controls using diffusion tensor imaging to investigate the stroke impact on the reorganization of structural connectivity. Each subject's brain was segmented into 68 cortical and 12 subcortical regions of interest (ROIs), and connectivity measures including fractional anisotropy (FA), regional FA (rFA), connection weight (CW) and connection strength (CS) were adopted to compare two subject groups. Correlations between these measures and clinical scores of motor functions (Action Research Arm Test and Fugl-Meyer Assessment for upper extremity) were done. Network-based statistic (NBS) was conducted to identify the connectivity differences between patients and controls from the perspective of whole-brain network. The results showed that both rFAs and CSs demonstrated significant differences between patients and controls in the ipsilesional sensory-motor areas and subcortical network, and bilateral attention and default mode networks. Significant positive correlations were found between the paretic motor functions and the rFAs/CSs of the contralesional medial orbitofrontal cortex (mOFC) and rostral anterior cingulate cortex (rACC), and remained significant even after removing the effect of the ipsilesional corticospinal tract. Additionally, all the connections linked with the contralesional mOFC and rACC showed significantly higher FA/CW values in the stroke patients compared to the healthy controls from the NBS results. These findings indicated that these contralesional prefrontal areas exhibited stronger connections after stroke and strongly related to the residual motor function of the stroke patients.

Abnormal organization of white matter network in patients with no dementia after ischemic stroke

Structural changes after ischemic stroke could affect information communication extensively in the brain network. It is likely that the defects in the white matter (WM) network play a key role in information interchange. In this study, we used graph theoretical analysis to examine potential organization alteration in the WM network architecture derived from diffusion tensor images from subjects with no dementia and experienced stroke in the past 5.4-14.8 months (N = 47, Mini-Mental Screening Examination, MMSE range 18-30), compared with a normal control group with 44 age and gender-matched healthy volunteers (MMSE range 26-30). Region-wise connectivity was derived from fiber connection density of 90 different cortical and subcortical parcellations across the whole brain. Both normal controls and patients with chronic stroke exhibited efficient small-world properties in their WM structural networks. Compared with normal controls, topological efficiency was basically unaltered in the patients with chronic stroke, as reflected by unchanged local and global clustering coefficient, characteristic path length, and regional efficiency. No significant difference in hub distribution was found between normal control and patient groups. Patients with chronic stroke, however, were found to have reduced betweenness centrality and predominantly located in the orbitofrontal cortex, whereas increased betweenness centrality and vulnerability were observed in parietal-occipital cortex. The National Institutes of Health Stroke Scale (NIHSS) score of patient is correlated with the betweenness centrality of right pallidum and local clustering coefficient of left superior occipital gyrus. Our findings suggest that patients with chronic stroke still exhibit efficient small-world organization and unaltered topological efficiency, with altered topology at orbitofrontal cortex and parietal-occipital cortex in the overall structural network. Findings from this study could help in understanding the mechanism of cognitive impairment and functional compensation occurred in patients with chronic stroke.

Cognitive and functional impairments in ischemic stroke patients with concurrent small vessel and large artery disease

BACKGROUND AND PURPOSE

Concurrent small vessel, intracranial and extracranial large artery disease (SLAD) is common in Asian but its impact on cognitive and functional outcomes is unclear. We aimed to evaluate the clinical, cognitive and functional outcomes in ischemic stroke patients with SLAD.

METHODS

Chinese ischemic stroke patients with diffuse white matter lesions (WMLs) were recruited as part of the VITATOPS Trial. They were studied with MRI and MRA of brain. Various neuropsychiatric batteries were used to assess the cognitive functions.

RESULTS

Totally 97 patients with acute ischemic stroke and diffuse WMLs were included, of whom 44 (45%) had SLAD. Patients with SLAD had lower Mini Mental State Examination (MMSE) when compared with the patients without SLAD. They had more behavioral symptoms and caused more stress in caregivers as assessed by the Neuropsychiatric Inventory (NPI). Multivariate regression analysis showed SLAD contributed significantly to MMSE, NPI Patient (NPI P) and NPI Care Giver (NPI CG). Among 44 patients with SLAD, 30 (68%) had severe cognitive impairment. They were older and less educated. They had more diabetes and poorer performance in neuropsychiatric tests including Mattis Dementia Rating Scale Initiation/Perseveration subset (MDRS I/P) and Clinical Dementia Rating (CDR). They also had poorer functional outcomes as assessed by Barthel Index (BI) and Instrumental activities of daily living (IADL).

CONCLUSIONS

This was the first MRA-based study to take into consideration the clinical, cognitive and functional outcomes in ischemic stroke patients with SLAD. Patients with SLAD had poorer cognitive and functional outcomes when compared to patients without SLAD.

Predictors and assessment of cognitive dysfunction resulting from ischaemic stroke

Stroke remains a primary cause of morbidity throughout the world mainly because of its effect on cognition. Individuals can recover from physical disability resulting from stroke, but might be unable to return to their previous occupations or independent life because of cognitive impairments. Cognitive dysfunction ranges from focal deficits, resulting directly from an area of infarction or from hypoperfusion in adjacent tissue, to more global cognitive dysfunction. Global dysfunction is likely to be related to other underlying subclinical cerebrovascular disease, such as white-matter disease or subclinical infarcts. Study of cognitive dysfunction after stroke is complicated by varying definitions and lack of measurement of cognition before stroke. Additionally, stroke can affect white-matter connectivity, so newer imaging techniques, such as diffusion-tensor imaging and magnetisation transfer imaging, that can be used to assess this subclinical injury are important tools in the assessment of cognitive dysfunction after stroke. As research is increasingly focused on the role of preventable risk factors in the development of dementia, the role of stroke in the development of cognitive impairment and dementia could be another target for prevention.

Frontal lobe atrophy is associated with small vessel disease in ischemic stroke patients

BACKGROUND

The pathogenesis of frontal lobe atrophy (FLA) in stroke patients is unclear. We aimed to ascertain whether subcortical ischemic changes were more associated with FLA than with parietal lobe atrophy (PLA) and temporal lobe atrophy (TLA).

METHODS

Brain magnetic resonance images (MRIs) from 471 Chinese ischemic stroke patients were analyzed. Lobar atrophy was defined by a widely used visual rating scale. All patients were divided into non-severe, mild-moderate, and severe atrophy of the frontal, parietal, and temporal lobe groups. The severity of white matter lesions (WMLs) was rated with the Fazekas' scale. Clinical and radiological features were compared among the groups. Subsequent logistic regressions were performed to determine the risk factors of atrophy and severe atrophy of the frontal, parietal and temporal lobes.

RESULTS

The frequency of FLA in our cohort was 36.9% (174/471). Severe FLA occurred in 30 (6.4%) patients. Age, previous stroke, and periventricular hyperintensities (PVH) (odds ratio (OR)=1.640, p=0.039) were independent risk factors of FLA. Age and deep white matter hyperintensities (DWMH) (OR=3.634, p=0.002) were independent risk factors of severe FLA. PVH and DWMH were not independent risk factors of PLA and TLA.

CONCLUSION

Frontal lobe atrophy in ischemic stroke patients may be associated with small vessel disease. The association between WMLs and FLA was predominant over atrophy of the parietal and temporal lobes, which suggests that the frontal lobe may be vulnerable to subcortical ischemic changes.