Long COVID risk and severity after COVID-19 infections and reinfections in Quebec healthcare workers
Notice bibliographique
Résumé
ABSTRACT Importance Long COVID, a chronic condition following SARS-CoV-2 infection, affects millions of people worldwide and can lead to significant functional impairment. Estimates of long COVID risk after a first COVID-19 infection vary, and data on risk following reinfections remain lacking. Objective To estimate and compare long COVID risk and severity with first COVID-19 infection versus reinfections among healthcare workers (HCWs). Design Retrospective cohort study based on an electronic survey among Quebec HCWs conducted between May 16 and June 15, 2023. A short telephone survey among randomly selected non-respondents further assessed potential response bias. Setting Population-based study in Quebec, Canada. Participants 397 222 HCWs were invited to participate in the electronic survey and 10 500 in the telephone survey. Main outcomes and measures We defined long COVID cases as HCWs self-reporting COVID-19-attributed symptoms lasting ≥12 weeks, classified as mild, moderate, or severe based on perceived symptom intensity. We compared self-reported symptoms and functional limitations of cases to COVID controls (infected participants without long COVID) and non-COVID controls (uninfected participants). Risk and prevalence were estimated by number of infections, likely infecting variant and perceived acute COVID-19 severity. We conducted symptom clustering analyses using unsupervised learning techniques. Results Estimated long COVID risk following any COVID-19 infection was similar among 22 496 online survey participants (17.0% [95%CI, 16.3%–17.6%] and 3 978 telephone survey participants (15.9% [14.6%–17.2%]. The cumulative risk increased with the number of infections, but reinfections were associated with three times lower risk of long COVID than first infections. Pre-Omicron infections and severe acute COVID-19 episodes correlated with higher long COVID risk and severity. Among prevalent long COVID cases, 43% were moderate and 33% severe. Compared to controls, dyspnea, neurocognitive symptoms, post-exertional malaise and smell/taste disturbances were most strongly associated with long COVID. Cluster analysis identified seven symptom groups with systemic, neurocognitive, pulmonary, and mood-related clusters being the most prevalent. Severe long COVID cases exhibited multiple symptom clusters and greater functional limitations. Conclusions Long COVID is a common and disabling condition among HCWs. Societal and healthcare burden remains important and will continue to accrue given ongoing SARS-CoV-2 transmission and long COVID risk with reinfections. KEY POINTS Question Does the risk and severity of long COVID differ for first COVID-19 infections versus reinfections among healthcare workers in Quebec, Canada? Findings The risk of long COVID was ∼15% with first COVID-19 infection, but three-fold lower with reinfections. Risk was higher with COVID-19 infections due to ancestral strains and with more severe acute episodes. Long COVID risk and severity compromised self-rated health, physical capacity and cognitive function. Meaning Long COVID is a common and disabling condition among workers. Societal and healthcare burden remains important and will continue to accrue given ongoing SARS-CoV-2 transmission and long COVID risk with reinfections.
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 | 0,003 |
| 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 | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».