| Literature DB >> 29260027 |
Satoshi Kimura1, Toshiyasu Ogata1, Junko Watanabe1, Tooru Inoue1, Yoshio Tsuboi1.
Abstract
PURPOSE: Although many patients with cerebral large-artery disease (CLAD) show impaired cognitive performance, the risk factors remain unclear in this population. The objective of this study was to evaluate cognitive impairment and its risk factors in patients with CLAD.Entities:
Keywords: Atherosclerosis; Cerebral large-artery disease; Cognitive impairment; Montreal cognitive assessment (MoCA)
Year: 2017 PMID: 29260027 PMCID: PMC5730908 DOI: 10.1016/j.ensci.2017.06.003
Source DB: PubMed Journal: eNeurologicalSci ISSN: 2405-6502
Patient characteristics and imaging findings in the CoI + and CoI − groups.
| CoI + ( | CoI– ( | P | |
|---|---|---|---|
| Age (years) | 72 (67–78) | 66 (58–71) | < 0.001* |
| Sex (man %) | 106(78%) | 30(75%) | 0.399 |
| Hypertension | 114(84%) | 29(73%) | 0.107 |
| Diabetes mellitus | 52(38%) | 15(38%) | 0.933 |
| Dyslipidemia | 89(65%) | 26(65%) | 1 |
| Smoking habit | 38(28%) | 10(25%) | 0.714 |
| Drinking habit | 43(32%) | 4(10%) | 0.007 |
| Years of education | 12 (9–14) | 12 (12–16) | 0.005* |
| Neurological deficits within 120 days | 51(38%) | 20(50%) | 0.157 |
| Tandem lesion | 15(11%) | 3(8%) | 0.576 |
| Opposite lesion | 50(37%) | 16(40%) | 0.709 |
| Lesion of CA or MCA | – | – | 0.001 |
| MCA | 15(11%) | 14(35%) | |
| CA | 98(88%) | 18(60%) | |
| Tandem lesion | 1(0.7%) | 1(2.5%) | |
| Side of the stenosis | – | – | 0.841 |
| Right | 59(43%) | 18(45%) | |
| Left | 54(40%) | 14(35%) | |
| Bilateral | 23(17%) | 8(20%) | |
| Cerebral perfusion (ml/min/100 g) | 34.3 (31.5–37.9) | 37.7 (34.9–44.6) | < 0.001* |
| Degree of ICA stenosis (%) | 80.0 (62.8–95.0) | 73.5 (56.0–100) | 0.692* |
| PVH | 1.0 (0–1) | 0.0 (0–0) | < 0.001* |
| DSWMH | 2.0 (1–3) | 2.0 (1–2) | 0.014* |
Data are median (range) or no. (%) of patients. * indicates that the Mann-Whitney U test was used. MCA; middle cerebral artery, CA; carotid artery, PVH; periventricular hyperintensity, DSWMH; deep subcortical white matter hyperintensity.
Logistic regression analysis for the risk factors associated with cognitive impairment.
| OR | CI | P | |
|---|---|---|---|
| Age | 1.09 | 1.02–1.16 | 0.011 |
| Sex | 0.77 | 0.23–2.63 | 0.68 |
| Hypertension | 1.03 | 0.31–3.40 | 0.96 |
| Duration of education | 0.85 | 0.71–1.03 | 0.107 |
| Current drinking habit | 7.15 | 1.93–26.46 | 0.003 |
| Neurological deficits within 120 days | 0.48 | 0.18–1.28 | 0.15 |
| Lesion (ICA) | 1.27 | 0.45–3.55 | 0.65 |
| Lesion side | 1.15 | 0.62–2.15 | 0.66 |
| PVH | 3.46 | 1.53–7.85 | 0.003 |
| DSWMH | 0.64 | 0.33–1.25 | 0.19 |
| Cerebral perfusion (ml/100 g/min) | 0.897 | 0.83–0.97 | 0.007 |
OR; odds ratio, CI; confidential interval.
Fig. 1MoCA subscores by age category. Attention, memory, and orientation scores were significantly lower in the older than the younger age group.
Fig. 3MoCA subscores by severity of PVH. Visuospatial, attention, memory, and orientation scores were significantly lower in patients with severe PVH.
Fig. 2MoCA subscores by cerebral perfusion category. Visuospatial, executive function, attention, memory, and orientation scores were significantly lower in patients with cerebral hypoperfusion.
Fig. 4MoCA subscores by drinking habit. None of the scores significantly differed between patients who did and did not drink alcohol.