Existence de différents profils de patients Covid Long ayant des plaintes cognitives
Notice bibliographique
Résumé
Objectives. Following an infection with covid-19, a large number of patients experiences difficulties in the domains of memory, attentional and executive functioning (1). The origin of those cognitive complaints in long COVID patients is likely multifactorial and may be explained by an objective decline in cognitive performance but also by psychological or somatic factors. Furthermore, subgroups of patients have been identified in the literature (2). We aim to characterize long COVID patients according to their cognitive performance and perception of difficulties in daily life. Therefore, we seek first to determine whether there are different profiles of long COVID patients based on their cognitive performance, and second if each group is associated with specific difficulties in daily life. Methods. Data are from an ongoing randomized controlled trial (3). 123 patients (aged 47 ± 10 [range 21-66]; 39 males; time since infection: 20 months ± 8 [range 4-39]) with cognitive complaints following one or more Covid-19 infections were tested. A neuropsychological assessment was carried out to investigate global cognitive performance (MOCA), verbal and visuo-spatial long-term memory (RBANS, BVMT-R), processing speed, selective attention (D2-R, TAP), divided attention (TAP), inhibition (STROOP), verbal fluidity, flexibility (TAP) and working memory (BROWN-PETERSON, TAP). Factorial analysis was conducted on objective performance and latent profile analysis (LPA) allowed us to identify different profiles. Then, we examined whether these profiles differ on self-reported questionnaires addressing executive functioning (BRIEF-A), memory (MMQ), and difficulties in everyday life (fatigue (MFIS), quality of sleep (PSQI), psychological distress (OQ-45), quality of life (ISQV) and reduction in work and activity (WPAI)). Results. Factorial analysis revealed only two composite factors (an aspecific processing speed factor and an attentional selectivity factor), as well as three variables that were not related to these two factors (updating, BROWN-PETERSON and RBANS) which were converted into standardised values. An LPA analyses with these two factors and these three variables showed 3 profiles of long covid patients: a profile with severe impairment in all cognitive domains, a profile with milder impairment, and a profile with specific memory impairment. Boostrap version on one-way robust ANOVAs revealed that the severely impacted profile has higher complaints about their executive functioning and memory capacities, and also reports higher cognitive and physical fatigue. Remarkably, the profile with specific memory impairment has the lowest complaints, including on the memory questionnaire. All participants, regardless of their profile, have a low self-reported quality of live, high psychological distress and a strong overall impact on their daily activities. Conclusions. These exploratory results suggest that there are different profiles of individuals reporting cognitive symptoms after a Covid-19 infection. Accordingly, the public health response to long COVID condition should be adapted and focused on their specific difficulties (i.e., memory-related or diffuse). As decrease in well-being and quality of life seems to affect all long COVID patients, an integrative approach that focuses on both cognitive and affective aspects should be favoured in rehabilitation programs. We also highlight the critical issue of oversimplifying the disease and the long COVID patients. REFERENCES (1) Jaywant et al. 2021 Neuropsychopharmacology (2) Voruz et al. 2022 Brain Communications (3) Willems et al. 2023 BMC neurology
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».