MétaCan
Menu
Retour à la cohorte
Enregistrement W3030042359 · doi:10.1111/bjh.16888

Haemoglobin oxygen affinity in patients with severe COVID‐19 infection

2020· letter· en· W3030042359 sur OpenAlexfundno aff
Yvonne Daniel, Beverley J. Hunt, Andrew Retter, Katherine Henderson, Sarah M. Wilson, Claire C. Sharpe, Michael J. Shattock

Notice bibliographique

RevueBritish Journal of Haematology · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueCOVID-19 Clinical Research Studies
Établissements canadiensnon disponible
Organismes subventionnairesBritish Heart FoundationHeart and Stroke Foundation of British Columbia and Yukon
Mots-clésARDSHydroxychloroquineLungCoronavirusHypoxia (environmental)MedicinePandemicDocking (animal)ImmunologyReceptorCoronavirus disease 2019 (COVID-19)BiologyVirologyDiseasePathologyInternal medicineChemistryInfectious disease (medical specialty)Oxygen

Résumé

récupéré en direct d'OpenAlex

Severely ill COVID-19 patients have an atypical form of respiratory distress. Acute respiratory distress syndrome (ARDS), while heterogenous, classically presents with severe hypoxia and decreased lung compliance.1 In SARS-CoV-2 coronavirus infection (COVID-19) lung mechanics and compliance are relatively well conserved until late in the disease course. Despite early preservation of lung compliance, the hypoxaemia in COVID-19 is severe and is ultimately the primary mechanism of multiple organ failure and death.2 The underlying pathology is due to COVID-19 entering cells via the ACE2 receptor. This receptor is expressed on many cells including alveolar epithelial cells and vascular endothelium resulting in a profound immune response and widespread endothelial dysfunction.3 We were both interested and concerned to read the report by Liu and Li.4 This in silico study used homology modelling and molecular docking algorithms to predict theoretical interactions between COVID-19 and haemoglobin (Hb). COVID-19 expresses a variety of open reading frame proteins including orf1ab, ORF3a, ORF6, ORF7a, ORF10 and ORF8. Liu and Li4 predict that these ORF proteins can interact with haemoglobin to reduce both oxygen (O2) affinity and total haemoglobin content. They report specifically that their modelling predicts a theoretical interaction between orf1ab, ORF10 and ORF3a and the haem moiety of the beta chain while ORF8 and viral surface glycoproteins can directly target the porphyrin. They assert that their data support the use of chloroquine and hydroxychloroquine as therapeutic agents. However, the methods used by Lui and Li have very recently been criticised — not least of all because they are unsupported by experimental evidence.5 It is unclear what testable physiological consequences might arise from an interaction between viral proteins and Hb but these are presumed to include a generalised loss of Hb and/or a change in O2 affinity. While mild anaemia and decreased Hb content have been reported,6,7 to our knowledge the effect of COVID-19 on O2 affinity has not been investigated. Multiple studies and national guidelines strongly support restrictive transfusion practice in the critically ill as a basic standard of care.8 It is possible that if the haemoglobin molecule was adversely affected by COVID-19, and the O2 affinity curve right-shifted, restrictive transfusion could be potentially harmful. Given the very high mortality of these ventilated COVID-19 patients, we considered evaluation of any effect on the O2 affinity curve as urgent to inform our practice. Physicians caring for patients infected with COVID-19 ordered an Hb O2 affinity assessment in 14 patients (four newly admitted from the emergency department and 10 patients receiving mechanical ventilation in critical care) which we compared to 11 age- and sex-matched controls as part of an audit to assess the utility of this investigation in the management of patients with severe disease (Guys and St Thomas’ Hospital Audit No. 10855; Table I). No extra samples or blood tests were taken from patients — rather relevant samples were identified after a routine full blood count had been reported. O2 saturation curves from control and COVID-19-positive patients are shown in Fig 1. It is clear that there are no differences in O2 affinity or co-operativity between samples from COVID-19 and matched controls. The P50 and Hill Slope values are given in Table I. However, as is common in critically ill patients, there is a substantial anaemia and loss of total haemoglobin. In summary, while the total O2-carrying capacity will certainly be reduced by the anaemia and loss of total haemoglobin, we see no evidence, using standard clinical measures in a small cohort of patients, to suggest that COVID-19 alters haemoglobin O2 affinity and there is no requirement to change our transfusion practice. We are grateful for the help of the Special Haematology and Haematology laboratory staff at Viapath, Guy's & St Thomas's NHS Foundation Trust. MJS is supported by the British Heart Foundation (RG/12/4/29426). The help of Felix Torrance with the curve-fitting equations is gratefully acknowledged. CCS and MJS conceived and designed the study; BJH provided access to Viapath analytical labs and haematology expertise; RA and HK were responsible for patient care; YD and SW analysed blood samples and patient data; MJS analysed the data and wrote the first draft; all authors revised and approved the final submission.

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)0,001
score de la tête « metaresearch » (Gemma)0,038
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,174
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,038
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,006
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,035
Tête enseignante GPT0,346
Écart entre enseignants0,311 · 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
GenreCommentaire

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

En bref

Citations47
Publié2020
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBritish Journal of HaematologyMême sujetCOVID-19 Clinical Research StudiesTravaux en français237 207