MétaCan
Menu
Retour à la cohorte
Enregistrement W3094699515 · doi:10.1016/s2468-2667(20)30228-0

Frailty and mortality in patients with COVID-19

2020· letter· en· W3094699515 sur OpenAlexaffabout
Jai N. Darvall, Rinaldo Bellomo, Paul J. Young, Kenneth Rockwood, David Pilcher

Notice bibliographique

RevueThe Lancet Public Health · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueFrailty in Older Adults
Établissements canadiensNova Scotia Health AuthorityDalhousie University
Organismes subventionnairesnon disponible
Mots-clésMedicineGuidelineNiceIntensive care unitCohort studyCohortPopulationObservational studyGerontologyExcellenceMEDLINEHealth careIntensive careFamily medicineIntensive care medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

We read with interest the study by Jonathan Hewitt and colleagues,1Hewitt J Carter B Vilches-Moraga A et al.The effect of frailty on survival in patients with COVID-19 (COPE): a multicentre, European, observational cohort study.Lancet Public Health. 2020; 5: e444-e451Summary Full Text Full Text PDF PubMed Scopus (422) Google Scholar investigating the association of frailty with mortality in 1564 patients diagnosed with COVID-19. We are interested in how treatment varied between patients in different frailty categories. Although the outcomes were adjusted for baseline patient factors, including age and comorbidities, we note that neither illness severity nor important process measures after admission to hospital, such as intensive care unit admission or mechanical ventilation, were reported. Without these data, it is hard to say to what degree frailty per se is intrinsically associated with increased mortality in COVID-19, or whether the reported mortality is perhaps related to the combination of a more severe illness and less intensive treatment type offered to patients with advanced frailty, consistent with the guidance from the National Institute for Health and Care Excellence and earlier work, which show greater treatment limitations in older, frail cohorts.2National Institute for Health and Care ExcellenceCOVID-19 rapid guideline: critical care in adults. NICE guideline [NG159].https://www.nice.org.uk/guidance/ng159Date: March 20, 2020Date accessed: March 29, 2020Google Scholar, 3Darvall JN Bellomo R Paul E et al.Frailty in very old critically ill patients in Australia and New Zealand: a population-based cohort study.Med J Aust. 2019; 211: 318-323Crossref PubMed Scopus (57) Google Scholar The latest intensive care national audit & research centre report (published on June 19, 2020), incorporating 9949 critically ill UK patients with COVID-19, reports a median patient age of 60 years (vs 74 years in Hewitt and colleagues' cohort), with 90% of patients fully independent ("able to live without assistance in daily activities") before hospitalisation.4Intensive care national audit & research centreICNARC report on COVID-19 in critical care.https://www.icnarc.org/DataServices/Attachments/Download/da19fd54-70b2-ea11-9127-00505601089bDate: June 19, 2020Date accessed: July 3, 2020Google Scholar These numbers compare with 40% of this study's cohort being classified as having a Clinical Frailty Scale score of 6 or more (at least moderately frail); by definition requiring considerable assistance with daily activities.5Rockwood K Song X MacKnight C et al.A global clinical measure of fitness and frailty in elderly people.CMAJ. 2005; 173: 489-495Crossref PubMed Scopus (4951) Google Scholar Hewitt and colleagues'1Hewitt J Carter B Vilches-Moraga A et al.The effect of frailty on survival in patients with COVID-19 (COPE): a multicentre, European, observational cohort study.Lancet Public Health. 2020; 5: e444-e451Summary Full Text Full Text PDF PubMed Scopus (422) Google Scholar study cohort, then, is not typical of the COVID-19 population being managed in UK intensive care units. Without more detail on how patients in this study were treated, and what effect this had on mortality, we are concerned that the statement "these findings support the use of frailty as a trigger for specialist resource allocation" is not supported by the data presented. KR reports personal fees from Clinical Cardio Day-Cape Breton University, Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Jackson Lab (Bar Harbor, MA, USA), MouseAge (Rome, Italy), Lundbeck, Frontemporal Dementia Study Group, and SunLife Insurance (Japan); and is the President and Chief Science Officer of DGI Clinical, which in the last 5 years has contracts with pharmaceutical and device manufacturers (Baxter, Baxalta, Shire, Hollister, Nutricia, Roche, and Otsuka) on individualised outcome measurement; attended an advisory board meeting with Lundbeck in 2017; is the Associate Director of the Canadian Consortium on Neurodegeneration in Aging, which is funded by the Canadian Institutes of Health Research, and with additional funding from the Alzheimer Society of Canada and several other charities, as well as, in its first phase (2013-2018), from Pfizer Canada and Sanofi Canada; receives career support from the Dalhousie Medical Research Foundation as the Kathryn Allen Weldon Professor of Alzheimer Research, and research support from the Canadian Institutes of Health Research, the QEII Health Science Centre Foundation, the Capital Health Research Fund and the Fountain Family Innovation Fund of the QEII Health Science Centre Foundation. All other authors declare no competing interests. Frailty and mortality in patients with COVID-19The COVID-19 in Older People (COPE) study by Jonathan Hewitt and colleagues1 supports the use of the Clinical Frailty Scale (CFS) for prognostication. These findings support our recently published single-center experience.2 However, several aspects of this study deserve clarification. Full-Text PDF Open AccessFrailty and mortality in patients with COVID-19 – Authors' replyWe thank all the research teams who have submitted letters in response to our frailty and COVID-19 paper.1 This study has generated discussion in scientific journals, lay press, and social media. We welcome the opportunity to further discuss our methods and results. Full-Text PDF Open AccessThe effect of frailty on survival in patients with COVID-19 (COPE): a multicentre, European, observational cohort studyIn a large population of patients admitted to hospital with COVID-19, disease outcomes were better predicted by frailty than either age or comorbidity. Our results support the use of CFS to inform decision making about medical care in adult patients admitted to hospital with COVID-19. Full-Text PDF Open AccessFrailty and mortality in patients with COVID-19Jonathan Hewitt and colleagues1 found, in a multicentre cohort study, that frailty strongly predicts mortality in patients with COVID-19. We would like to further comment on their study. Full-Text PDF Open Access

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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité 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 enseignants0,058
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,003
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 Opus0,140
Tête enseignante GPT0,362
Écart entre enseignants0,222 · 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

Citations24
Publié2020
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueThe Lancet Public HealthMême sujetFrailty in Older AdultsTravaux en français237 207