Effects of COVID-19 Infection on Symptom Severity and Disability in Multiple Sclerosis
Notice bibliographique
Résumé
BACKGROUND AND OBJECTIVES: Infections, including infection with SARS-CoV-2 (COVID-19), could alter the course of multiple sclerosis (MS). Previous studies assessing the effects of COVID-19 on MS outcomes were small and had discordant findings. The study objective was to evaluate the association of COVID-19 infection with changes in the trajectory of MS symptoms and disability. METHODS: We used a controlled interrupted time series (ITS), a quasiexperimental study design using longitudinal data from the North American Research Committee on Multiple Sclerosis Registry. Participants who completed at least 3 surveys before and after their index survey were identified. Exposure of interest was COVID-19 infection based on confirmed diagnosis using an at-home or laboratory test, as reported by the participant. Symptoms were measured using the SymptoMScreen (SMSS), a self-report measure of symptom severity across 12 domains common in MS. Disability was measured using PDDS. Segmented regression was used to compare changes in outcomes over time between cohorts, before and after the exposure (COVID-19 infection). RESULTS: The spring 2023 survey response rate was 67.3%, and 4,787 participants completed the COVID-19 questions. Of those participants, 2,106 (44.0%) reported ever having confirmed COVID-19. The COVID-19 infection cohort included 796 participants with ≥3 surveys both before and after index survey. The uninfected cohort included 1,534 participants (32.0%) who reported never having COVID-19 nor other infections in the previous 6 months, of whom 1,336 had the requisite number of presurveys and postsurveys. After adjusting for participant characteristics, the SMSS score increased nominally over time in the COVID-19 and uninfected cohorts and this change over time did not differ between cohorts either before (0.005, 95% CI -0.025 to 0.035) or after (-0.0002, 95% CI -0.014 to 0.014) COVID-19 infection. The immediate effect of COVID-19 infection on the SMSS total score was minimal within the COVID-19 cohort and did not differ between cohorts (0.41, 95% CI -0.13 to 0.94). Findings were similar for disability. DISCUSSION: Our study using an ITS design found that COVID-19 infection was not associated with immediate changes in symptom severity or disability, nor did it change the trajectories of these outcomes over a median follow-up of 18 months. Although results may not generalize to younger people with MS, these findings enhance our general understanding of the consequences of infection in people with MS.
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 | 0,007 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 | 0,001 | 0,001 |
| 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 ».