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Enregistrement W4416310038 · doi:10.3389/fneur.2025.1731001

Editorial: Exploring neurotological health concerns post-COVID-19 infection

2025· editorial· en· W4416310038 sur OpenAlexaff
Alexandra E. Quimby

Notice bibliographique

RevueFrontiers in Neurology · 2025
Typeeditorial
Langueen
DomaineNeuroscience
ThématiqueVestibular and auditory disorders
Établissements canadiensDalhousie University
Organismes subventionnairesnon disponible
Mots-clésCausality (physics)DiseaseObservational studyPublic healthDenialPopulationCornerstonePresentation (obstetrics)

Résumé

récupéré en direct d'OpenAlex

Determining causality as to the effects of SARS-CoV-2 infection is a challenge met in the study of any infectious disease agent. In the face of an inability to gather evidence from well-controlled interventional studies, multiple complimentary lines of evidence are necessary to attribute health effects directly to microbial infection. Causal inference frameworks are drawn upon; mechanistic evidence that harkens back to Koch's postulates is necessary; and large, well-controlled observational study designs provide a primacy of evidence. Each of these modes of evidence has contributed to our understanding of COVID-19's neurotologic manifestations to date. Even in a post-pandemic reality, achieving a comprehensive understanding of the virus' effects and the mechanisms by which these are exerted is crucial from a public health standpoint. Our population has unprecedented vulnerability to global pandemics.A cornerstone of understanding the effects of SARS-CoV-2 infection on human health is precise characterization of disease presentation. A wide body of research ranging across medical specialty disciplines endeavors to do just this. Researchers studying the effects of the virus in the short-and long-term post-infection have elucidated nuances of its presentation and provided insight on how these can be measured and followed. Concerning the virus' neurotologic sequelae, Peron and colleagues provide important insights into the audiometric profile of SSNHL related to SARS-CoV-2 infection. Their prospective cohort study assessed patients presenting with SSNHL for COVID infection via PCR testing and symptomatology, and found a higher incidence of bilateral simultaneous SSNHL among patients with COVID infection and severe symptoms. These findings have important implications for the work-up of patients presenting with bilateral SSNHL, given that a proportion of these may represent COVID-infected individuals. From a vestibular standpoint, Campelo Corrêa et al. demonstrate the feasibility of assessing long-term balance impairment following viral infection using smartphone-based apps. They used smartphone inertial sensors to evaluate balance in patients with long COVID-19, finding greater postural instability on static balance tasks in these patients compared to controls. Though this approach is not specific to the assessment of patients with a history of SARS-CoV-2 infection, the study provides insights into its applicability in this population. These types of studies play a pivotal role in achieving a comprehensive understanding of the virus' effects. With large segments of the global population suffering long-term effects of SARS-CoV-2 infection, this knowledge is ever important.Complimentary and equally necessary to clinical, observational research are mechanistic studies. SARS-CoV-2 has been shown to exert its multi-system effects through a combination of mechanisms. These include but are not limited to direct viral entry in cells of target tissues, vascular endothelial injury driving inflammation and thrombosis -which may drive multi-organ ischemic injury -and immune dysregulation. The latter two effects have been long-theorized as accounting for certain presentations of non-infectious related audiovestibular dysfunction (for example, autoimmune or steroid-responsive inner ear disease, and possibly some cases of idiopathic sudden sensorineural hearing loss). Recent research studying inner ear cells collected from the vestibular end organs at the time of surgical labyrinthectomy have demonstrated that these cells express the membrane receptors necessary for SARS-CoV-2 infection. Additional work has demonstrated other possible mechanistic pathways for the neurotologic effects of the virus; for example, SARS-CoV-2 particles have been demonstrated in middle ear effusions following viral infection.Xinxin Li and colleagues explore this phenomenon in their study included as part of this Topic.Another class of negative health outcomes that emerged during the pandemic are those with possible links to COVID-19 vaccination, rather than to infection itself. The most consistently recognized serious adverse effects of the vaccine are thrombosis and thrombocytopenia, both of which are rare events. Though many practicing otolaryngologists have anecdotal reports of patients experiencing sudden sensorineural hearing loss or vertigo following COVID vaccination, these of course are unsubstantiated and represent the lowest quality of evidence The study "Comparison of the rates of emergent otologic adverse events following mRNA COVID-19 versus influenza vaccination: a matched cohort analysis" by Munjal et al rigorously addresses this potential association, with surprising results. This matched cohort study included a total of 42,859 individuals receiving the COVID-19 vaccine or any pre-pandemic influenza vaccine, and found no difference between the two groups in the odds of any hearing loss, sudden hearing loss, tinnitus, and otalgia. While the odds of aural fullness were significantly higher among the COVID vaccinated cohort compared to the influenza vaccinated cohort, the odds of vertigo were significantly lower among COVID-vaccinated individuals.To summarize: the neurotologic manifestations of SARS-CoV-2 infection and vaccination represent a still-rapidly evolving field at the intersection of clinical otology/neurotology and infectious diseases. Lessons from this and previous pandemics make it increasingly clear that both observational and mechanistic research are essential to delineate the pathways by which COVID-19 and its prevention strategies may affect human health, including the auditory and vestibular systems. Rigorous clinical and laboratory-based studies are key to distinguishing viral mechanisms of injury from coincidental associations. The contributions assembled in this Research Topic collectively advance our understanding of these complex relationships -ranging from clinical characterizations and diagnostic insights to explorations of underlying mechanisms -and highlight the importance of continued systematic inquiry to inform patient care and future public health preparedness.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,027
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,050

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,027
Méta-épidémiologie (sens strict)0,0050,001
Méta-épidémiologie (sens large)0,0040,004
Bibliométrie0,0030,001
Études des sciences et des technologies0,0030,004
Communication savante0,0070,006
Science ouverte0,0050,002
Intégrité de la recherche0,0220,026
Charge utile insuffisante (le modèle a refusé de juger)0,0150,011

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.

Tête enseignante Opus0,041
Tête enseignante GPT0,325
Écart entre enseignants0,284 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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