New International Guidelines and Consensus on the Use of Lung Ultrasound

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Abstract

Following the innovations and new discoveries of the last 10 years in the field of lung ultrasound (LUS), a multidisciplinary panel of international LUS experts from six countries and from different fields (clinical and technical) reviewed and updated the original international consensus for point‐of‐care LUS, dated 2012. As a result, a total of 20 statements have been produced. Each statement is complemented by guidelines and future developments proposals. The statements are furthermore classified based on their nature as technical (5), clinical (11), educational (3), and safety (1) statements.

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Most cited references 337

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Paul A. Harris, Robert Taylor, Robert Thielke … (2009)

Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.

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The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.

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Author and article information

Contributors

Libertario Demi:

ORCID: https://orcid.org/0000-0002-0635-2133

libertario.demi@unitn.it

Journal

Journal ID (nlm-ta): J Ultrasound Med

Journal ID (iso-abbrev): J Ultrasound Med

Journal ID (doi): 10.1002/(ISSN)1550-9613

Journal ID (publisher-id): JUM

Title: Journal of Ultrasound in Medicine

Publisher: John Wiley & Sons, Inc. (Hoboken, USA )

ISSN (Print): 0278-4297

ISSN (Electronic): 1550-9613

Publication date (Electronic): 22 August 2022

Publication date (Print): February 2023

Volume: 42

Issue: 2 ( doiID: 10.1002/jum.v42.2 )

Pages: 309-344

Affiliations

[ ¹ ] Department of Information Engineering and Computer Science University of Trento Trento Italy

[ ² ] Department of Thoracic and Vascular Surgery SRH Wald‐Klinikum Gera Gera Germany

[ ³ ] Unit of Clinical Epidemiology and Biostatistics Fondazione IRCCS Policlinico S. Matteo Pavia Italy

[ ⁴ ] Department of Mechanical and Aerospace Engineering North Carolina State University Raleigh North Carolina USA

[ ⁵ ] Department of Radiology Michigan Medicine Ann Arbor Michigan USA

[ ⁶ ] Department of Diagnostic Imaging Unit of Radiology of the Hospital of Ravenna, Ausl Romagna Ravenna Italy

[ ⁷ ] Department of Translational Medicine and for Romagna Università Degli Studi di Ferrara Ferrara Italy

[ ⁸ ] 3rd Department of Internal Medicine and Cardiology Medical University of Warsaw Warsaw Poland

[ ⁹ ] Department of Internal Medicine, Connective Tissue Disease and Geriatrics Medical University of Gdansk Gdansk Poland

[ ¹⁰ ] Geriatrics Department National Institute of Geriatrics, Rheumatology and Rehabilitation Warsaw Poland

[ ¹¹ ] Clinic of Pediatrics, Hematology and Oncology University Clinical Center Gdańsk Poland

[ ¹² ] Heart Center Freiburg University, Department of Cardiovascular Surgery, Faculty of Medicine University of Freiburg Freiburg Germany

[ ¹³ ] Department of Gerontology, Public Health and Didactics National Institute of Geriatrics, Rheumatology and Rehabilitation Warsaw Poland

[ ¹⁴ ] Departments of Critical Care Medicine and Surgery University of Calgary and the TeleMentored Ultrasound Supported Medical Interventions Research Group Calgary Canada

[ ¹⁵ ] FOM Hochschule für Oekonomie & Management gGmbH Department of Health and Social Essen Germany

[ ¹⁶ ] Emergency Ultrasound Austrian Society for Ultrasound in Medicine and Biology Vienna Austria

[ ¹⁷ ] Diagnostic and Interventional Ultrasound Unit Valledel Serchio General Hospital Lucca Italy

[ ¹⁸ ] Pulmonary Medicine Unit, Department of Medical and Surgical Sciences Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy

[ ¹⁹ ] Department of Internal Medicine, IRCCS San Matteo Hospital Foundation University of Pavia Pavia Italy

[ ²⁰ ] Emergency Department Humanitas Gavazzeni Bergamo Italy

Author notes

[*] [* ] Address correspondence to Libertario Demi, Head of Ultrasound Laboratory Trento, Department of Information Engineering and Computer Science, University of Trento, Trento (TN), Italy; Via Sommarive, 9 ‐ 38123 Povo (TN), Italy.

E‐mail: libertario.demi@ 123456unitn.it

Author information

Libertario Demi https://orcid.org/0000-0002-0635-2133

Marcin Wełnicki https://orcid.org/0000-0002-7454-521X

Natalia Buda https://orcid.org/0000-0002-9356-2736

Andrew W. Kirkpatrick https://orcid.org/0000-0002-1692-5919

Andrea Smargiassi https://orcid.org/0000-0003-0637-7282

Riccardo Inchingolo https://orcid.org/0000-0003-2843-9966

Tiziano Perrone https://orcid.org/0000-0001-8268-3121

Article

Publisher ID: JUM16088

DOI: 10.1002/jum.16088

PMC ID: 10086956

PubMed ID: 35993596

SO-VID: 288ef9b7-a731-41aa-b0bb-7c737f2703cf

License:

This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

History

Date revision received : 28 June 2022

Date received : 07 March 2022

Date accepted : 31 July 2022

Page count

Figures: 2, Tables: 1, Pages: 36, Words: 26955

Custom metadata

source-schema-version-number 2.0

cover-date February 2023

details-of-publishers-convertor Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:11.04.2023

Keywords: a‐lines,artificial intelligence,b‐lines,covid‐19,lung ultrasound,lung ultrasound protocols,lung ultrasound standardization,lus safety assurance,point of care ultrasound,post‐covid‐19,quantitative ultrasound,sars‐cov‐2,sonographic interstitial syndrome,vertical artifacts

Data availability:

Keywords: a‐lines, artificial intelligence, b‐lines, covid‐19, lung ultrasound, lung ultrasound protocols, lung ultrasound standardization, lus safety assurance, point of care ultrasound, post‐covid‐19, quantitative ultrasound, sars‐cov‐2, sonographic interstitial syndrome, vertical artifacts

New International Guidelines and Consensus on the Use of Lung Ultrasound

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Most cited references 337

Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

The REDCap consortium: Building an international community of software platform partners

The Delphi method as a research tool: an example, design considerations and applications

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