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Enregistrement W4403692269 · doi:10.3389/fpubh.2024.1483693

Editorial: On the cusp of the silent wave of the long COVID pandemic: why, what and how should we tackle this emerging syndrome in the clinic and population?

2024· editorial· en· W4403692269 sur OpenAlexaboutno aff
Francisco Westermeier, Nuno Sepúlveda

Notice bibliographique

RevueFrontiers in Public Health · 2024
Typeeditorial
Langueen
DomaineMedicine
ThématiqueLong-Term Effects of COVID-19
Établissements canadiensnon disponible
Organismes subventionnairesFundação para a Ciência e a Tecnologia
Mots-clésPandemicCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Cusp (singularity)PopulationMedicineVirologyHistoryOutbreakEnvironmental healthDiseasePathology

Résumé

récupéré en direct d'OpenAlex

There is an urgent public health problem due to the rising number of individuals who remain with their health and daily functions impaired for months and even years after a SARS-CoV-2 infection [1]. This impairment is encapsulated by a new medical condition known as post COVID-19 syndrome, post-acute COVID-19 syndrome, post-acute sequelae of SARS-CoV-2 infection, and persistent post-COVID-19 syndrome. The general public knows this condition as long COVID (LC), a coined termed by patients at the beginning of the pandemic [1].Individuals with LC report experiencing many symptoms, including fatigue, post-exertional malaise (PEM), and sleep disturbances [2]. Coincidently, these specific symptoms are the heart of the most consensual case definitions of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), a "older" disease often triggered by an infection (e.g., infectious mononucleosis) and also causing high levels of physical and mental distress [3]. It is then no surprise that individuals with LC can also receive an ME/CFS diagnosis [4,5]. This diagnostic overlap is the main reason for the growing interest in understanding the medical relationship between LC and ME/CFS in order to accelerate the development of efficacious pharmacological and non-pharmacological interventions for the benefit of the patients [6][7][8].The present Research Topic aimed then at gathering new data on the public health and medicine of LC and ME/CFS. The Research Topic compiled 11 papers of which 9 were original research. Seven papers concerned LC directly or indirectly. The remaining four papers focused on ME/CFS specifically or together with LC. Below the reader can find a brief account of the research conducted.Four large-scale studies on LC surveyed more than 1,000 individuals. These studies evaluated different health-related metrics after a SARS-CoV-2 infection using retrospective data or convenient cross-sectional surveys.From the United States of America, Sandoval et al reported a retrospective study on 91,007 adult patients from Southeast Texas. The study aimed at evaluating the chance of hospital readmission after a SARS-CoV-2 infection. The main finding is that 21% of the individuals were readmitted to the hospital within 90 days after infection. The chance of hospital admission seemed to be dependent on different factors, including a dose-response relationship with area deprivation index.From 16 countries in Latin America, with the special focus on Ecuador, Mexico, Argentina, Colombia, Peru, and Chile, Angarita-Fonseca et al estimated the prevalence of individuals with LC using an online survey of 2,466 people. In this survey, 1,178 individuals (47.8%) reported experiencing symptoms after 3 months of a SARS-CoV-2 infection. This survey also suggested several risk factors for LC, including a COVID-19 episode earlier in the pandemic, old age, no vaccination against SARS-CoV-2, and a high number of pre-existing co-morbidities.From Brazil, Tavares Malheiro et al conducted a telephone-based survey in the city of São Paulo on 291 hospitalized and 1,118 non-hospitalized patients with COVID-19. The study also aimed at estimating the prevalence of LC at least 3 months after infection and to determine the respective risk factors. The study estimated the LC prevalence at 47.1% and 49.5% for these two populations, respectively. These estimates were in almost perfect agreement with the ones reported by Angarita-Fonseca et al. Again, pre-existing co-morbidities such as hypertension are possible risk factors for LC manifestations.From Italy, Gagliotti et al estimated the incidence and determined the factors affecting the access to specific healthcare services up to a year after the acute phase of a SARS-CoV-2 infection. The study was conducted in a large number of healthy individuals (n=35,128 and 88,881 from Emilia-Romagna and Veneto, respectively). This study found that more than 20% of the surveyed individuals accessed a health service, mostly outpatient care more than drug prescription as follow-up of their SARS-CoV-2 infection. Whether this access was a direct cause of LC specifically remained an open question from this study.The three remaining studies on LC contemplated a moderate number of surveyed individuals. From Castellón in Spain, Pérez Catalán et al provided evidence that the quality of life of 486 Spanish patients tended to remain affected after one year of their COVID-19-related hospitalisation. This particular study was already criticised due to its reliance on telephone interviews [9]. From Vancouver in Canada, Magel et al followed up 88 patients previously hospitalised due to COVID-19 complications. This study focused on how the levels of fatigue evolved over time. The study that 67% (n=58) of individuals experienced fatigue at 3 months post-infection, but this percentage dropped to 60% (n=47) after 6 months. The same drop was observed in patients experiencing substantial fatigue (16% to 6% after 3 and 6 months after infection, respectively). Accordingly to other studies published in this Research Topic, the study also provided evidence for a positive association between the number of pre-existing comorbidities and fatigue. From Bari in Italy, Resta et al reported the single study conducted in a clinical setting. The study focused post-covid exertion dyspnoea in 318 patients at 3 months after SARS-CoV-2 infection. In this study, the study participants performed a 6-min walking test after which 59.7% showed evidence of dyspnoea. This finding showed that exertion dyspnea might be part of the PEM spectrum in LC.Four papers concentrated their attention on ME/CFS with possible implications to LC. For example, the new study of Hannestad et al provided evidence for an increase of IgG antibodies against human adenovirus after a SARS-CoV-2 infection in a Swedish cohort of patients with ME/CFS. This finding suggested that a SARS-CoV-2 infection could prompt the reactivation of the human adenovirus. Such a reactivation might explain the worsening of symptoms in some patients with ME/CFS after a SARS-CoV-2 infection, as suggested elsewhere [10]. Another example is the perspective paper of Scheibenbogen et al who compiled and discussed a list of candidate drugs that could treat both ME/ CFS and LC patients. This perspective paper also provided an important concept for developing clinical trial networks in this era of LC and ME/CFS. In turn, Grabowska et al discussed the concept of extending current large-scale prevalence studies of LC to ME/CFS, a disease whose incidence and prevalence remain largely elusive [11]. According to these authors, estimating ME/CFS prevalence comes at a minimal cost in such studies, but requires the recognition of PEM as one of the cardinal symptoms for ME/CFS diagnosis. The recognition of PEM in medical care is also important, as demonstrated by a new study of Wormgoor and Rodenburg on a cohort of Norwegian ME/CFS patients. However, data from this new study suggested that PEM remains a neglected symptom by specialised medical staff and healthcare providers.Most of the new contributions published in this Research Topic were based on the evaluation of simple metrics aiming at capturing different sequelae facets of a SARS-CoV-2 infection. These metrics are fundamental to understand the impact of the problem on public health and society, as reviewed elsewhere [1]. At the same time, the abundance of descriptive studies suggested that we are still at the early stage of addressing the LC problem. In this scenario, the great benefit of this Research Topic seemed to come from an integrated collection of papers where LC and ME/CFS are somehow put side-by-side. This is the case of Scheibenbogen et al who aimed at leveraging preexisting knowledge on ME/CFS pathogenesis and treatment with a potential impact on the healthcare of LC patients.All the original research articles published in this Research Topic had the curiosity of coming from studying European, North American, and South American populations. This illustrates the wide extension of the LC challenge across the world. However, no papers from Asia and Africa were published in this Research Topic. In the case of Asia, it was a simple coincidence with several papers being submitted, but subsequently rejected for one reason or another. This contrasted with Africa from which no submission was received. Interestingly, the current prevalence estimates of LC in Africa [12] are similar to the ones found by Tavares Malheiro et al in São Paulo Brazil and Angarita- Fonseca et al across Latin America. Given this statistical coincidence, we had the expectation to collect some research studies on LC from this continent. Does this mean that the interest on LC is fading away in Africa even if there is evidence for an accumulation of cases elsewhere? Perhaps this is the right time for revitalising the LC research in Africa to determine whether this continent is an exception in the global burden of this new condition post-pandemic.The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.FW and NS drafted, revised, and approved the final version of this editorial.NS was partially financed by national funds through FCT -Fundação para a Ciência e a Tecnologia under the project UIDB/00006/2020. DOI: 10.54499/UIDB/00006/2020 (https://doi.org/10.54499/ UIDB/00006/2020).7.

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)0,004
score de la tête « metaresearch » (Gemma)0,025
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 enseignants0,037
Score d'incertitude au seuil0,125

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,025
Méta-épidémiologie (sens strict)0,0030,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0030,001
Études des sciences et des technologies0,0020,003
Communication savante0,0060,006
Science ouverte0,0040,001
Intégrité de la recherche0,0130,014
Charge utile insuffisante (le modèle a refusé de juger)0,0370,028

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 Opus0,040
Tête enseignante GPT0,343
Écart entre enseignants0,304 · 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

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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