Correlation between cerebral microbleeds and cognitive impairment in patients with lacunar infarction and/or leukoaraiosis: a retrospective case series study
Notice bibliographique
Résumé
Objective To detect the distribution of cerebral microbleeds (CMBs) in patients with lacunar infarction (LI) and/or leukoaraiosis (LA) and to analyze the correlation between the CMB related risk factors and cognitive impairment. Methods Thirty-eight patients with LI and/or LA were divided into either a CMB group or a non-CMB group according to the findings of susceptibility weighted imaging. The number of CMB lesions was recorded. Mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA) were used to conduct cognitive function tests, and the patients were also divided into a cognitive impairment group and a non-cognitive impairment group according to the MoCA scores. The demographic and clinical data in each group were compared. The independent risk factors for CMBs and cognitive impairment were identified. Results Thirteen patients had 58 CMBs in the CMB group. Their distributions were as follows: 36 CMBs in basal ganglia and thalamus, 14 in cortical and subcortical regions, 3 in brain stem, and 5 in cerebellum. There were 25 patients in the non-CBM group, 26 in the cognitive impairment group, and 12 in the non-cognitive impairment group. There were significant differences in age and the proportions of hypertension, taking antithrombotic drugs and the patients with LA between the CMB group and the non-CMB group (all P<0.05). Multivariable logistic regression analysis showed that only age was an independent risk factor for CMBs (odds ratio 1.103, 95% confidence interval 1.034-1.454; P=0.045). MMSE (26.92±2.87 vs. 29.00±1.44; t=2.452, P=0.027) and MoCA (21.62±3.36 vs. 25.04±2.59; t= -3.493, P=0.001) scores in the CMB group were significantly lower than those in the non-CMB group. There was only significant difference in the number of CMBs between the cognitive impairment group and the non-cognitive impairment group (2.08±3.64 vs. 0.33±0.78; t= -1.629, P=0.010). Multivariate logistic regression analysis showed that only the number of CMBs was an independent risk factor for cognitive impairment (odds ratio, 1.534, 95% confidence interval 1.100-2.576; P=0.046). Spearman rank correlation analysis showed that the number of CMBs was significantly negatively correlated with the MoCA language (r= -0.229, P=0.003) and the delayed recall (r=-0.332, P=0.042) scores. Conclusions In patients with LI and/or LA, CMBs were correlated with age. Their existence and number were associated with cognitive impairment. Key words: Cerebral Hemorrhage; Cognition Disorders; Stroke, Lacunar; Leukoaraiosis; Cerebral Small Vessel Diseases; Risk Factors
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».