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Evidence summary: What is the utility of lung sonography in COVID-19 pneumonia? [v1.0]

2020· other· en· W6991174502 sur OpenAlexaboutno aff

Notice bibliographique

RevueLenus, The Irish Health Repository (Dr Steevens Hospital Library) · 2020
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLungUltrasoundPneumothoraxEconomic shortageLung ultrasoundPneumoniaModalities
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The potential utility of lung ultrasound (LUS) in COVID-19 patients is the subject of extensive investigation and debate. There is emerging evidence that LUS may be a useful aid in the triage and monitoring of COVID-19 pneumonia as it has high sensitivity for detecting pleural thickening, subpleural consolidation, and ground-glass opacity. It has the advantages of portability, point-of-care evaluation, reduced healthcare worker exposure, and repeatability during follow-up. The lack of ionising radiation is of particular relevance when imaging pregnant women and children11. It also has limitations - e.g. it cannot discern the chronicity of a lesion - and other imaging modalities may be required. In an Irish context, the following should also be taken into consideration so as not to exaggerate the potential utility of LUS: 1. While early reports suggest that LUS may be useful, the role of lung ultrasound in the evaluation of COVID-19 has not been established.
\n2. Lung ultrasound is heavily operator dependant and there is currently a shortage of relevant expertise in Ireland. 3. Lung ultrasound cannot detect ground-glass opacification in the lungs which is one of the signs of COVID-19 on standard imaging modalities. The mainstay of imaging evaluation in COVID-19 is chest radiography, supplemented by CT in certain clinical circumstances. Lung findings on CXR and CT are better described, are more objective, and are more likely to provide useful information to referring clinicians who are managing patients with this COVID-19. Further studies are needed to determine the added value of lung ultrasound in the management of COVID-19. 4. Lung ultrasound involves close contact between the patient and the sonographer for periods often exceeding 15 minutes, which increases the risk of transmission of infection to staff.
\nThese comments are subject to change in the light of new evidence which may emerge in this rapidly evolving area. Distinction should be drawn between lung ultrasound and pleural ultrasound: NCPR recognises that there is a definite established role for the latter in the evaluation of pleural effusions. 2020 guidance from the Canadian Society of Thoracic Radiology/Canadian Association of Radiologists1 suggests that LUS should not be used to diagnose or exclude COVID-19 pneumonia: “Although there is a growing identification of LUS patterns in COVID-19 pneumonia, the overlap with other causes of respiratory distress is unknown. Small outcome studies have been performed in patients with other causes of acute respiratory distress but are insufficient to support the use of LUS to contribute to or supersede established prognostic tools.” Other guidance, such as that from the Italian Network for Safety in Healthcare4 and the Polish Association of Epidemiologists and Infectiologists7, recommends the use of LUS for suspected COVID-19 pneumonia under certain circumstances: the Italian guidance recommends that chest ultrasound may be used if competencies are available and if strict disinfection protocols are followed after each examination4. The National Institutes of Health in the United States9 comment that: “The optimal pulmonary imaging technique for people with COVID-19 is yet to be defined. Initial evaluation may include chest x-ray, ultrasound or, if indicated, CT. 
\nEvaluation of patients with severe illness or pneumonia should include pulmonary imaging [CXR, US or if, indicated, CT] and ECG, if indicated.” A number of studies 13-15 note the utility of LUS in paediatrics; however, patient numbers in these reports are low. One commentator cautions against its use: “[given that] few children have COVID-19 and, particularly in winter, the prevalence of illnesses is high [with co-infection with COVID-19 in 40%], the pre-test probability of COVID-19 in children is low. That, together with the normal lung ultrasound on the patient we present here, convince us that ultrasound, though useful in many other scenarios, is a poor screening tool for COVID-19 in children”16. LUS remains an emerging area of interest in the context of COVID-19. Many authors highlight the need for larger prospective studies to evaluate the diagnostic and prognostic values, relevant findings, and discriminating features of LUS in the diagnosis and management of COVID-19. A number of pertinent trials have been registered and related studies continue to be released in pre-print format.

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)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesMéta-épidémiologie (sens strict)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,427
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,002
Communication savante0,0010,003
Science ouverte0,0050,001
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,032
Tête enseignante GPT0,298
Écart entre enseignants0,266 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

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
Publié2020
Routes d'admission1
Résumé présentoui

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