Trajectories of Physical Disabilities Over 6 Months in Patients With Long COVID
Notice bibliographique
Résumé
IMPORTANCE: Understanding the long-term impact of long COVID on physical function and health-related quality of life (HRQoL) is essential to guide clinical care and rehabilitation. OBJECTIVE: The objective of this study was to compare physical capacity over time among adults in 3 groups: those without COVID-19 (control group [CG]), those who recovered from COVID without persistent symptoms (short COVID group [SCG]), and those with long COVID (long COVID group [LCG]). A secondary objective was to identify baseline predictors of 6-month HRQoL in the LCG. DESIGN: This study was a prospective longitudinal cohort study. SETTING: In-laboratory assessments were conducted at baseline, 3 months, and 6 months, at either the Center for Interdisciplinary Research in Rehabilitation and Social Integration (Quebec City) or the Orthopedic Clinical Research Unit (Montreal). PARTICIPANTS: A total of 360 age- and sex-matched adults (n = 120 per group), including individuals without a history of COVID-19 (CG), those with short COVID (symptom resolution within 4 weeks, SCG), and those with persistent symptoms ≥12 weeks (LCG) participated in the study. INTERVENTION/EXPOSURE: Participants were categorized based on their COVID-19 history and symptom duration and no intervention or exposure was applied. MAIN OUTCOMES AND MEASURES: Self-reported outcomes measuring HRQoL, comorbidities, sleep quality, pain, and fatigue, along with objective measures such as grip strength, Short Physical Performance Battery (SPPB), 6-min walk test (6MWT), and perceived exertion (Modified Borg Scale) during the 6MWT, were collected. Daily averages for resting heart rate, step count, and minutes of intensive activity were recorded over 7 days using a fitness tracker watch. Generalized estimating equations were used for longitudinal comparisons, and recursive partitioning analysis for predicting HRQoL factors. RESULTS: Significant time × group interactions were observed for HRQoL, sleep quality, pain, fatigue, SPPB, and 6MWT. Although the LCG showed significant improvements across these outcomes, only the reduction in fatigue reached a clinically meaningful level, whereas the other groups remained stable. A group effect was detected for all outcomes, except for heart rate and minutes of intensive activity, with the LCG consistently showing lower scores across all follow-ups. Recursive partitioning analysis identified 2 baseline predictors of HRQoL at 6 months in the LCG: self-reported fatigue and daily step count. CONCLUSIONS AND RELEVANCE: These findings highlight the persistent impairments in adults with long COVID and emphasize early HRQoL predictor identification to anticipate long-term needs and adjust treatment plans accordingly.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 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) | 0,000 | 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 tête enseignante, 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 ».