Impact of obstructive sleep apnea on cognition, mood, and fatigue: an MRI-based study
Notice bibliographique
Résumé
Abstract Background Obstructive sleep apnea disrupts the normal sleep cycle and is associated with many adverse consequences such as cardiovascular disease, DM, psychological problems, depression, decreased cognitive function, reduced quality of life, structural brain changes, and fatigue. Purpose This work aimed to study the MRI structural brain changes and to assess the neurocognitive function, depression, and fatigue using multiple questionnaires (MoCA score, BDI-П, and FSS, respectively) in OSA patients. Methods We enrolled 30 patients > 18 years with moderate (severity groups І), severe (severity groups П), very severe or extremely severe OSA (severity groups Ш), and 10 control subjects that were matched. All patients and control subjects underwent full-night PSG. Patients underwent neuropsychological tests including the Montreal Cognitive Assessment, Beck’s Depression Inventory-II, and Fatigue Severity Scale (FSS) in addition to an MRI brain without contrast. Results The mean AHI among patients (56.7% were females and 43.3% were males) was 39.97 ± 20.26 event/h. Severity groups І (40% of studied patients), П (46.7%), and Ш (13.3%). Abnormal MRI findings (WMCs) were detected in 18 patients (60%), versus 4 subjects (40%) in the control group, showing no statistically significant difference, p = 0.300. Among different severity groups, the prevalence of abnormal MRI findings was 4 (33.3%), 11 (78.6%), and 3 (75%) patients in severity groups І, П, and Ш, respectively. There was a statistically significant difference between patients and control regarding affection of subcortical and corpus callosal regions, p = 0.007 and 0.38, respectively, but not periventricular or deep white matter hyperintensities. Montreal Cognitive Assessment, Beck’s Depression Inventory-II score, and Fatigue Severity Scale, all showed statistically significant differences between patient and control groups. There was a significant negative correlation between AHI and MoCA score and a significant positive correlation between AHI and BDI-П, and also between AHI and FSS, p = 0.005, 0.016, and 0.008, respectively. The Frontal lobe was the most affected lobe among our patients followed by the parietal lobe. The mean value of AHI in the group of patients with abnormal MRI findings was statistically significantly higher than that in the group with normal MRI findings (45.42 ± 19.29 versus 32.06 ± 19.82 event/h, respectively), p = 0.010. Comparing both groups showed: that the mean value of MoCA score in the group of patients with abnormal MRI findings was significantly lower than that in the group with normal MRI findings (17.89 ± 3.64 versus 24.08 ± 4.44, respectively), p < 0.001. Regarding both BDI-П and FSS, it was noted that the mean value in the group of patients with abnormal MRI findings was higher than that in the group with normal MRI findings (33.83 ± 7.94 versus 32 ± 7.39, and (58.39 ± 4.82 versus 55.17 ± 7.12 respectively), but this difference was not statistically significant, p = 0.529, p = 1.000, respectively. Conclusion There was no significant difference between patients and the control group regarding WMCs in general, but there was a significant difference regarding the presence of subcortical and corpus callosal white matter hyperintensities. The Frontal lobe was the most affected. Neurocognitive function, depression, and fatigue were significantly affected in OSA patients in comparison to the control group. OSA patients with WMCs had a significantly higher AHI and a significantly lower MoCA score.
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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 | 0,000 |
| 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 ».