Evaluation of cognitive impairment in long-severe COVID patients
Notice bibliographique
Résumé
Background: “Long Covid” is an expression for describing the syndrome with signs and symptoms that emerge or continue after a Covid-19 acute infection. These symptoms must persist for over 12 weeks and are not explained by an alternative diagnosis. Persistent symptoms include breathing difficulty, fatigue, mental health disorders and cognitive impairment. Objective: To measure and characterize the cognitive impairment and psychiatric disorders related to Covid-19 infection. Methods: This is a cross-sectional study, approved by our institution’s ethics committee (CEP:6.123.125), in a population-based cohort. Two hundred patients admitted to the ICU of a hospital in Porto Alegre due to severe Covid-19 infection and who were discharged from 01/15/2021 to 03/30/2021 were assessed for eligibility. Data regarding cognitive function (Montreal Cognitive Assessment [MoCA] and Addenbrooke’s Cognitive Examination [ACE-III]), psychiatric comorbidities (Hamilton scales) and quality of life (Short Form Health Survey [SF-36]) were collected. Results: A total of 46 patients were enrolled, regardless of their cognitive status, with an average age of 52.2 years (DP 12.1). Twenty-four (54,3%) were male. The vast majority (95.6%) was not experiencing social isolation and had at least eleven years of education (91.3%). We found that many patients suffered from executive and visuospatial dysfunction, performing similarly in MoCA and ACE-III, with a median score of 3.87 (maximum score of 5; DP 1.29; P=0.099) and 14 (maximum score of 16; DP 1.08), respectively. Language was also impaired in our patients, with average scores of 2.52 (maximum score of 3; DP 0.72; P=0.380) and 24.82 (maximum score of 26; DP 1.82) in MoCa and ACE-III, respectively. Regarding memory, MoCA had an average score of 2.7 (maximum score of 5; DP 1.48), while ACE-III showed a score of 18.7 (maximum score of 26; DP 1.5). Unexpectedly, memory performance in both tests was significantly worse even in patients with more than 14 years of formal education. Of all patients, 30,5% (n=14) had normal cognition, 13.04% (n=6) had physical deficit without cognitive impairment, 34.78% (n=16) had mild cognitive impairment (MCI) and 21.73% (n=10) had dementia. The median scores in MoCA were 27.36 (DP±1,216), 27.67 (DP±0,816), 22.75 (DP±2,543) and 22.30 (DP±3,129) in each group, respectively. The median scores in ACE-III were 87.79 (DP±5,820), 92.33 (DP±5,502), 83.81 (DP±8,101) and 80.2 (DP±7,642), respectively. Conclusion: This study provides evidence for a protracted cognitive impairment years after severe Covid-19 infection, showing a combination of executive, visuospatial, language and memory impairments. Although other factors, such as prolonged ICU stay, may have had a role, our findings support that even relatively heathy patients suffer from Covid-19 cognitive dysfunction, which was displayed even more prominently in highly educated patients.
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 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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 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 ».