Thoracic UltrasONOgraphy Reporting: The TUONO Study.

critical care lung point-of-care surveys and questionnaires ultrasound

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
30 Nov 2022
Historique:
received: 26 09 2022
revised: 14 11 2022
accepted: 28 11 2022
entrez: 11 12 2022
pubmed: 12 12 2022
medline: 12 12 2022
Statut: epublish

Résumé

Lung ultrasound (LUS) is a validated technique for the prompt diagnosis and bedside monitoring of critically ill patients due to its availability, safety profile, and cost-effectiveness. The aim of this work is to detect similarities and differences among LUS reports performed in ICUs and to provide a common ground for an integrated report form. We collected all LUS reports during an index week in 21 ICUs from the GiViTI network. First, we considered signs, chest areas, and terminology reported. Then, we compared different report structures and categorized them as structured reports (SRs), provided with a predefined model form, and free unstructured text reports (FTRs) that had no predetermined structure. We analyzed 171 reports from 21 ICUs, and 59 reports from 5 ICUs were structured. All the reports presented a qualitative description that mainly focused on the presence of B-lines, consolidations, and pleural effusion. Zones were defined in 66 reports (39%). In SRs, a complete examination of all the regions was more frequently achieved (96% vs. 74%), and a higher impact on therapeutic strategies was observed (17% vs. 6%). LUS reports vary significantly among different centers. Adopting an integrated SR seems to promote a systematic approach in scanning and reporting, with a potential impact on LUS clinical applications.

Identifiants

pubmed: 36498700
pii: jcm11237126
doi: 10.3390/jcm11237126
pmc: PMC9739733
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Italo Calamai (I)

Anesthesia and Intensive Care Unit AUsl Toscana Centro, Ospedale San Giuseppe, Viale Boccaccio 16/20, 50053 Empoli, Italy.

Massimiliano Greco (M)

Department of Biomedical Sciences, Humanitas University, 20090 Milan, Italy.
Department of Anesthesiology and Intensive Care, IRCCS Humanitas Research Hospital, 20100 Milan, Italy.

Stefano Finazzi (S)

Laboratory of Clinical Data Science, Mario Negri Institute of Pharmacological Research IRCCS, 24020 Ranica, Italy.

Marzia Savi (M)

Department of Biomedical Sciences, Humanitas University, 20090 Milan, Italy.
Department of Anesthesiology and Intensive Care, IRCCS Humanitas Research Hospital, 20100 Milan, Italy.

Gaia Vitiello (G)

Laboratory of Clinical Data Science, Mario Negri Institute of Pharmacological Research IRCCS, 24020 Ranica, Italy.

Elena Garbero (E)

Laboratory of Clinical Data Science, Mario Negri Institute of Pharmacological Research IRCCS, 24020 Ranica, Italy.

Rosario Spina (R)

Anesthesia and Intensive Care Unit AUsl Toscana Centro, Ospedale San Giuseppe, Viale Boccaccio 16/20, 50053 Empoli, Italy.

Andrea Montisci (A)

Division of Cardiothoracic Intensive Care, Cardiothoracic Department, ASST Spedali Civili, 25121 Brescia, Italy.

Silvia Mongodi (S)

Anaesthesia and Intensive Care, San Matteo Hospital, 27100 Pavia, Italy.

Guido Bertolini (G)

Laboratory of Clinical Epidemiology, Mario Negri Institute of Pharmacological Research IRCCS, 24020 Ranica, Italy.

Classifications MeSH