Sleep structure and cognitive function in stoke combined with obstructive sleep apnea hypopnea syndrome
Notice bibliographique
Résumé
Objective To explore characteristics of sleep structure and the correlation with cognitive function in cerebral infarction combined with obstructive sleep apnea hypopnea syndrome (CI-OSAHS). Methods The patients with CI-OSAHS and OSAHS in Department of Neurology and Breathing Sleep Monitoring Room of Tianjin Medical University General Hospital from December 2009 till March 2011 were collected. All the patients completed polysomography（PSG）. Sixty patients were selected and divided into 3 groups based on PSG. These 3 groups were combined group 20 persons (CI-OSAHS), OSAHS group 20 persons (OSAHS) and control group 20 persons (without cerebral infarction obstructive sleep apnea hypopnea syndrome). All the patients completed image examinations (CT and MRI) evaluation of the cognitive function by Mini-Mental State Examination（MMSE）and Montreal Cognitive Assessment（MoCA）. Results Sleep structure: the awake time, non-rapid eye movement sleep （NREM ）1, NREM 2 and NREM periods in combined group and OSAHS group were significantly longer, the NREM3+4 and rapid eye movement（REM） periods were shorter than the control group. The NREM and NREM 1 periods in combined group were longer, the NREM 3+4 and REM periods were shorter than the OSAHS group. The correlation analysis of cognitive function and breathing disorders and low oxygen related index: there was negative correlation between the total scores of cognitive function（MMSE and MoCA）and apnea hyponea index, oxygen desaturation index (ODI) (MMSE r=-0.450, -0.671, MoCA r=-0.486, -0.494, all P<0.05) while, was positive correlation between them and noctumal average hypoxemia and minimum hypoxemia (MMSE r=0.477, 0.485, MoCA r=0.507, 0.482, all P<0.05) in the OSAHS group. There was negative correlation between ODI, arousal index and the total scores of MoCA in the combined group (MoCA r=-0.463, 0.480, both P<0.05), there was correlation between the total scores of MMSE and the other sleep parameters, but，there was no difference in statistics. The correlation analysis of cognitive function and sleep stages: There was positive correlation between the total scores of cognitive function（MMSE and MoCA）and the NREM 3+4 periods （r=0.521，0.474，both P<0.05）while, there was negative correlation between the total scores of MMSE and the NREM 1+2 periods（r=-0.458, P<0.05） in the OSAHS group. There was positive correlation between the REM period and the total scores of MoCA （r=0.472，P<0.05）. There was correlation between the total scores of MMSE and the sleep structure, but,there was no difference in statistics in combined group. Conclusions Patients with OSAHS have obvious sleep structure disorder. The awake time and light sleep periods are significantly longer than the control group, while, the deep sleep and REM periods are significantly shorter than the control group. The NREM 1 of the patients with CI-OSAHS is longer than the patients with OSAHS. The higher the AHI, the lower the night blood oxygen, the more obvious cognitive dysfunction. The longer the awake time, the longer the light sleep, the shorter the deep sleep and REM periods, the more serious cognitive dysfunction.The correlation between the cognitive impairment and low oxygen is more apparent than sleep structure. There is apparent correlation among the total scores of MoCA, the degree of hypoxia and sleep structure in the patients with CI-OSAHS. The total scores of MoCA are more sensitivity than MMSE in mild vascular cognitive impairment. Key words: Sleep apnea; obstructive; Brain infarction; Cognition disorders; Sleep disorders; Polysomnography
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».