PO.1.14 Evaluation of cognitive impairment in SLE – a comparison of two assessment tools
Notice bibliographique
Résumé
Background, aims Cognitive impairment is estimated to occur in 10–30% of systemic lupus erythematosus (SLE) patients. Its screening and early recognition is not well established in routine clinical care. Assessment tools for common types of dementia are insufficient to detect early signs of cognitive dysfunction, furthermore, few tests have been studied specifically in SLE patients to screen and follow cognitive functions. The aim of this study was to evaluate the efficacy of Quick mild cognitive impairment screen (Qmci) and the Montreal Cognitive Assessment (MoCA) to find a brief screening tool for the everyday practice. Furthermore, our aim was to analyse which cognitive functions are mostly affected in SLE patients compared to healthy controls to detect mild cognitive impairment early, before it progresses to dementia. Methods We enrolled consecutive SLE patients aged < 65 years who met the Systemic Lupus International Collaborating Clinics (SLICC) 2012 classification criteria. Disease activity was measured by SLEDAI-2K. We evaluated the patients’ cognitive function with the MoCA and Qmci tests. We recorded the patients’ demographic, clinical, immunoserological parameters and data about education, social and health habits. We also used this study to validate the Hungarian translation of the Qmci test in SLE patients. Results Eighty-seven patients (mean age: 44.97/range: 20–64/), of whom 75 were women (86.2%) and 12 were men (13.8%) were studied. 32 patients (36.8%) had < 12 years of education, 32 patients had grammar school or college educational level (36.8%) and 23 had university degree. Regarding MoCA, the participants’ test score was in the range between 17 and 30 points (maximum score in the MoCA test is 30), with mean score of 26.28 (SD = 3.08), which is considered as normal cognition with the 24 cut-off score of the MoCa test. Patients scored a mean of 3.64 point (SD = 1.32) from the maximal 5 points on the delayed recall scale. The Qmci scores were in the range between 49 and 94 points (mean: 80.68/SD = 10.10/), which is classified as normal cognition using the 62 cut-off score (potential maximum for Qmci is 100). Highest deviations from the maximum were observed in the delayed recall domain (13,79, SD = 5.58) and the verbal fluency task (mean 11.78, SD = 2.96 out of the maximal 20 points). With MoCA we detected 16 patients (18,4%) with cognitive impairment, whereas Qmci classified 4 participants (4,6%) with this. Conclusions Cognitive impairment is present in a considerable proportion of SLE patients under 65 years of age, but the rate is dependent on the tool used. MoCA was a more sensitive test in this cohort, it therefore seems more useful for screening. Although Qmci has a less stringent numerical range to detect mild cognitive impairment, furthermore, it is a quick instrument, it classified less patients with cognitive impairment in our cohort. Analysis of subsets of cognitive function in the tests could help to better delineate the character of cognitive impairment developing in SLE. Further research is required in larger clinical and healthy sample to examine the diagnostic and follow-up value of the tests.
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 | 0,004 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».