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Enregistrement W4285034413 · doi:10.1016/j.eclinm.2022.101552

Understanding chronic Covid-19

2022· article· en· W4285034413 sur OpenAlexaff
Thomas Milovac

Notice bibliographique

RevueEClinicalMedicine · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueLong-Term Effects of COVID-19
Établissements canadiensUniversity of Waterloo
Organismes subventionnairesnon disponible
Mots-clésMedicineCoronavirus disease 2019 (COVID-19)CognitionIncidence (geometry)ScopusPneumoniaCognitive declineCohortInternal medicineMEDLINEPsychiatryDementiaDisease

Résumé

récupéré en direct d'OpenAlex

In their timely study, Hampshire and colleagues show that chronic Covid-19 negatively effects cognitive ability, likening the decrease in ability to the age-related decline in cognition between 50 and 70 years of age.1Hampshire A. Chatfield D.A. Manktelow A. et al.Multivariate profile and acute-phase correlates of cognitive deficits in a COVID-19 hospitalised cohort.eClinicalMedicine. 2022; 47 ([cited 2022 May 10] Available from:): 1-10https://doi.org/10.1016/j.eclinm.2022.101417Summary Full Text Full Text PDF Scopus (7) Google Scholar However, additional information on participant characteristics and severity of medical treatments may help with contextualising the study results. For instance, approximately 59% of participants were female, and according to Townsend and colleagues2Townsend L. Dyer A.H. Jones K. et al.Persistent fatigue following SARS-CoV-2 infection is common and independent of severity of initial infection.PloS One. 2020; 15 ([cited 2022 May 10] Available from:)e0240784https://doi.org/10.1371/journal.pone.0240784Crossref Scopus (309) Google Scholar chronic fatigue following Covid-19 infection is more prevalent in females. Consequently, this may mean that cognitive decline may also be more prevalent in females or that cognitive decline may result from long-term fatigue following infection. Furthermore, about 35% of study participants were mechanically ventilated (MV) and this increases the risk of associated health concerns, especially in patients with comorbidities.3Udi J. Lang C.N. Zotzmann V. et al.Incidence of barotrauma in patients with COVID-19 pneumonia during prolonged invasive mechanical ventilation – a case-control study.J Intens Care Med. 2020; 36 ([cited 2022 May 10] Available from:): 477-483https://doi.org/10.1177/0885066620954364Crossref PubMed Scopus (30) Google Scholar Ibrahim and colleagues4Ibrahim G.S. Alkandari B.M. Shady I.A.A. Gupta V.K Abdelmohsen M.A. Invasive mechanical ventilation complications in COVID-19 patients.Egypt J Radiol Nucl Med. 2021; 52 (226, [cited 2022 May 10] Available from:): 1-13https://doi.org/10.1186/s43055-021-00609-8Crossref Scopus (2) Google Scholar found a prevalence of complications from invasive MV in Covid-19 patients, and that the risk of complications increased when patients had existing health concerns such as obesity, hypertension, chronic renal or cardiac disease. Additionally, MV in animal studies has shown a propensity toward inducing neuroinflammation, neuronal damage, and cognitive impairment, all of which presumably may extinguish cognitive abilities.5Giordano G. Pugliese F. Bilotta F. Neuroinflammation, neuronal damage or cognitive impairment associated with mechanical ventilation: A systematic review of evidence from animal studies.J Critic Care. 2021; 62 ([cited 2022 May 10] Available from:): 246-255https://doi.org/10.1016/j.jcrc.2020.12.017Crossref PubMed Scopus (3) Google Scholar Therefore, the cognitive decline observed by Hampshire and colleagues may have been due to participant characteristics and/or be iatrogenic and a causal association of Covid-19 with the observed decline requires more thorough investigation into these, and potentially other, confounding variables.ContributorsT.M. is the sole contributor.Funding SourcesNone to declare. In their timely study, Hampshire and colleagues show that chronic Covid-19 negatively effects cognitive ability, likening the decrease in ability to the age-related decline in cognition between 50 and 70 years of age.1Hampshire A. Chatfield D.A. Manktelow A. et al.Multivariate profile and acute-phase correlates of cognitive deficits in a COVID-19 hospitalised cohort.eClinicalMedicine. 2022; 47 ([cited 2022 May 10] Available from:): 1-10https://doi.org/10.1016/j.eclinm.2022.101417Summary Full Text Full Text PDF Scopus (7) Google Scholar However, additional information on participant characteristics and severity of medical treatments may help with contextualising the study results. For instance, approximately 59% of participants were female, and according to Townsend and colleagues2Townsend L. Dyer A.H. Jones K. et al.Persistent fatigue following SARS-CoV-2 infection is common and independent of severity of initial infection.PloS One. 2020; 15 ([cited 2022 May 10] Available from:)e0240784https://doi.org/10.1371/journal.pone.0240784Crossref Scopus (309) Google Scholar chronic fatigue following Covid-19 infection is more prevalent in females. Consequently, this may mean that cognitive decline may also be more prevalent in females or that cognitive decline may result from long-term fatigue following infection. Furthermore, about 35% of study participants were mechanically ventilated (MV) and this increases the risk of associated health concerns, especially in patients with comorbidities.3Udi J. Lang C.N. Zotzmann V. et al.Incidence of barotrauma in patients with COVID-19 pneumonia during prolonged invasive mechanical ventilation – a case-control study.J Intens Care Med. 2020; 36 ([cited 2022 May 10] Available from:): 477-483https://doi.org/10.1177/0885066620954364Crossref PubMed Scopus (30) Google Scholar Ibrahim and colleagues4Ibrahim G.S. Alkandari B.M. Shady I.A.A. Gupta V.K Abdelmohsen M.A. Invasive mechanical ventilation complications in COVID-19 patients.Egypt J Radiol Nucl Med. 2021; 52 (226, [cited 2022 May 10] Available from:): 1-13https://doi.org/10.1186/s43055-021-00609-8Crossref Scopus (2) Google Scholar found a prevalence of complications from invasive MV in Covid-19 patients, and that the risk of complications increased when patients had existing health concerns such as obesity, hypertension, chronic renal or cardiac disease. Additionally, MV in animal studies has shown a propensity toward inducing neuroinflammation, neuronal damage, and cognitive impairment, all of which presumably may extinguish cognitive abilities.5Giordano G. Pugliese F. Bilotta F. Neuroinflammation, neuronal damage or cognitive impairment associated with mechanical ventilation: A systematic review of evidence from animal studies.J Critic Care. 2021; 62 ([cited 2022 May 10] Available from:): 246-255https://doi.org/10.1016/j.jcrc.2020.12.017Crossref PubMed Scopus (3) Google Scholar Therefore, the cognitive decline observed by Hampshire and colleagues may have been due to participant characteristics and/or be iatrogenic and a causal association of Covid-19 with the observed decline requires more thorough investigation into these, and potentially other, confounding variables. ContributorsT.M. is the sole contributor. T.M. is the sole contributor. Funding SourcesNone to declare. None to declare.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,008
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,795
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0110,000

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.

Tête enseignante Opus0,155
Tête enseignante GPT0,415
Écart entre enseignants0,260 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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
Publié2022
Routes d'admission1
Résumé présentoui

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