Literature DB >> 33155689

A New Lung Ultrasound Protocol Able to Predict Worsening in Patients Affected by Severe Acute Respiratory Syndrome Coronavirus 2 Pneumonia.

Tiziano Perrone1, Gino Soldati2, Lucia Padovini1, Anna Fiengo1, Gianluca Lettieri1, Umberto Sabatini1, Giulia Gori1, Federica Lepore1, Matteo Garolfi1, Ilaria Palumbo1, Riccardo Inchingolo3, Andrea Smargiassi3, Libertario Demi4, Elisa Eleonora Mossolani5, Francesco Tursi6, Catherine Klersy7, Antonio Di Sabatino1.   

Abstract

OBJECTIVES: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can generate severe pneumonia associated with high mortality. A bedside lung ultrasound (LUS) examination has been shown to have a potential role in this setting. The purpose of this study was to evaluate the potential prognostic value of a new LUS protocol (evaluation of 14 anatomic landmarks, with graded scores of 0-3) in patients with SARS-CoV-2 pneumonia and the association of LUS patterns with clinical or laboratory findings.
METHODS: A cohort of 52 consecutive patients with laboratory-confirmed SARS-CoV-2 underwent LUS examinations on admission in an internal medicine ward and before their discharge. A total LUS score as the sum of the scores at each explored area was computed. We investigated the association between the LUS score and clinical worsening, defined as a combination of high-flow oxygen support, intensive care unit admission, or 30-day mortality as the primary end point.
RESULTS: Twenty (39%) patients showed a worse outcome during the observation period; the mean LUS scores ± SDs were 20.4 ± 8.5 and 29.2 ± 7.3 in patients without and with worsening, respectively (P < .001). In a multivariable analysis, adjusted for comorbidities (>2), age (>65 years), sex (male), and body mass index (≥25 kg/m2 ), the association between the LUS score and worsening (odds ratio, 1.17; 95% confidence interval, 1.05 to 1.29; P = .003) was confirmed, with good discrimination of the model (area under the receiver operating characteristic curve, 0.82). A median LUS score higher than 24 was associated with an almost 6-fold increase in the odds of worsening (odds ratio, 5.67; 95% confidence interval, 1.29 to 24.8; P = .021).
CONCLUSIONS: Lung ultrasound can represent an effective tool for monitoring and stratifying the prognosis of patients with SARS-CoV-2 pulmonary involvement.
© 2020 American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  B-line; consolidations; lung ultrasound; severe acute respiratory syndrome coronavirus 2 pneumonia; vertical artifacts

Mesh:

Year:  2020        PMID: 33155689     DOI: 10.1002/jum.15548

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  20 in total

1.  Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images.

Authors:  Roshan Roshankhah; Yasamin Karbalaeisadegh; Hastings Greer; Federico Mento; Gino Soldati; Andrea Smargiassi; Riccardo Inchingolo; Elena Torri; Tiziano Perrone; Stephen Aylward; Libertario Demi; Marie Muller
Journal:  J Acoust Soc Am       Date:  2021-12       Impact factor: 2.482

2.  Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia.

Authors:  Nabeel Durrani; Damjan Vukovic; Jeroen van der Burgt; Maria Antico; Ruud J G van Sloun; David Canty; Marian Steffens; Andrew Wang; Alistair Royse; Colin Royse; Kavi Haji; Jason Dowling; Girija Chetty; Davide Fontanarosa
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

3.  Quantitative Analysis and Automated Lung Ultrasound Scoring for Evaluating COVID-19 Pneumonia With Neural Networks.

Authors:  Jiangang Chen; Chao He; Jintao Yin; Jiawei Li; Xiaoqian Duan; Yucheng Cao; Li Sun; Menghan Hu; Wenfang Li; Qingli Li
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-06-29       Impact factor: 2.725

4.  Lung Ultrasound Findings in COVID-19: A Descriptive Retrospective Study.

Authors:  Talib Omer; Collin Cousins; Taylor Lynch; Nhu-Nguyen Le; Dana Sajed; Thomas Mailhot
Journal:  Cureus       Date:  2022-03-21

5.  Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based Approach.

Authors:  Libertario Demi; Federico Mento; Antonio Di Sabatino; Anna Fiengo; Umberto Sabatini; Veronica Narvena Macioce; Marco Robol; Francesco Tursi; Carmelo Sofia; Chiara Di Cienzo; Andrea Smargiassi; Riccardo Inchingolo; Tiziano Perrone
Journal:  J Ultrasound Med       Date:  2021-12-03       Impact factor: 2.754

6.  Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19.

Authors:  Oz Frank; Nir Schipper; Mordehay Vaturi; Gino Soldati; Andrea Smargiassi; Riccardo Inchingolo; Elena Torri; Tiziano Perrone; Federico Mento; Libertario Demi; Meirav Galun; Yonina C Eldar; Shai Bagon
Journal:  IEEE Trans Med Imaging       Date:  2022-03-02       Impact factor: 11.037

Review 7.  The role of PoCUS in the assessment of COVID-19 patients.

Authors:  John Karp; Karina Burke; Sarah-Marie Daubaras; Cian McDermott
Journal:  J Ultrasound       Date:  2021-04-19

8.  Comparison of two different lung ultrasound imaging protocols in COVID-19 pneumonia.

Authors:  Korgün Ökmen; Durdu Kahraman Yildiz; Emel Soyaslan; İlkay Ceylan; Halil Erkan Sayan; Cihan Sedat Aytünür
Journal:  Ultrasonography       Date:  2021-07-13

Review 9.  Association of Lung Ultrasound Score with Mortality and Severity of COVID-19: A Meta-Analysis and Trial Sequential Analysis.

Authors:  Guang Song; Wei Qiao; Xin Wang; Xiaona Yu
Journal:  Int J Infect Dis       Date:  2021-06-17       Impact factor: 3.623

10.  Prevalence of exercise-induced oxygen desaturation after recovery from SARS-CoV-2 pneumonia and use of lung ultrasound to predict need for pulmonary rehabilitation.

Authors:  Annalisa Carlucci; Mara Paneroni; Margherita Carotenuto; Enrica Bertella; Serena Cirio; Alessandra Gandolfo; Carla Simonelli; Matteo Vigna; Cinzia Lastoria; Alberto Malovini; Barbara Fusar Poli; Michele Vitacca
Journal:  Pulmonology       Date:  2021-06-04
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