Can Lung Ultrasound Be the Ideal Monitoring Tool to Predict the Clinical Outcome of Mechanically Ventilated COVID-19 Patients? An Observational Study
Background: During the COVID-19 pandemic, lung ultrasound (LUS) has been widely used since it can be performed at the patient’s bedside, does not produce ionizing radiation, and is sufficiently accurate. The LUS score allows for quantifying lung involvement; however, its clinical prognostic role is...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
|
Series: | Healthcare |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9032/10/3/568 |
_version_ | 1797471165080403968 |
---|---|
author | Luigi Vetrugno Francesco Meroi Daniele Orso Natascia D’Andrea Matteo Marin Gianmaria Cammarota Lisa Mattuzzi Silvia Delrio Davide Furlan Jonathan Foschiani Francesca Valent Tiziana Bove |
author_facet | Luigi Vetrugno Francesco Meroi Daniele Orso Natascia D’Andrea Matteo Marin Gianmaria Cammarota Lisa Mattuzzi Silvia Delrio Davide Furlan Jonathan Foschiani Francesca Valent Tiziana Bove |
author_sort | Luigi Vetrugno |
collection | DOAJ |
description | Background: During the COVID-19 pandemic, lung ultrasound (LUS) has been widely used since it can be performed at the patient’s bedside, does not produce ionizing radiation, and is sufficiently accurate. The LUS score allows for quantifying lung involvement; however, its clinical prognostic role is still controversial. Methods: A retrospective observational study on 103 COVID-19 patients with respiratory failure that were assessed with an LUS score at intensive care unit (ICU) admission and discharge in a tertiary university COVID-19 referral center. Results: The deceased patients had a higher LUS score at admission than the survivors (25.7 vs. 23.5; <i>p</i>-value = 0.02; cut-off value of 25; Odds Ratio (OR) 1.1; Interquartile Range (IQR) 1.0−1.2). The predictive regression model shows that the value of LUSt0 (OR 1.1; IQR 1.0–1.3), age (OR 1.1; IQR 1.0−1.2), sex (OR 0.7; IQR 0.2−3.6), and days in spontaneous breathing (OR 0.2; IQR 0.1–0.5) predict the risk of death for COVID-19 patients (Area under the Curve (AUC) 0.92). Furthermore, the surviving patients showed a significantly lower difference between LUS scores at admission and discharge (mean difference of 1.75, <i>p</i>-value = 0.03). Conclusion: Upon entry into the ICU, the LUS score may play a prognostic role in COVID-19 patients with ARDS. Furthermore, employing the LUS score as a monitoring tool allows for evaluating the patients with a higher probability of survival. |
first_indexed | 2024-03-09T19:46:26Z |
format | Article |
id | doaj.art-7a593a69708540ec9e544bbd9612b037 |
institution | Directory Open Access Journal |
issn | 2227-9032 |
language | English |
last_indexed | 2024-03-09T19:46:26Z |
publishDate | 2022-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Healthcare |
spelling | doaj.art-7a593a69708540ec9e544bbd9612b0372023-11-24T01:23:37ZengMDPI AGHealthcare2227-90322022-03-0110356810.3390/healthcare10030568Can Lung Ultrasound Be the Ideal Monitoring Tool to Predict the Clinical Outcome of Mechanically Ventilated COVID-19 Patients? An Observational StudyLuigi Vetrugno0Francesco Meroi1Daniele Orso2Natascia D’Andrea3Matteo Marin4Gianmaria Cammarota5Lisa Mattuzzi6Silvia Delrio7Davide Furlan8Jonathan Foschiani9Francesca Valent10Tiziana Bove11Dipartimento di Scienze, Orali e Biotecnologiche, Università degli Studi “G. d’Annunzio”, 66100 Chieti, ItalyAnesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, ItalyAnesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, ItalyAnesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, ItalyAnesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, ItalyDivision of Anesthesia, Analgesia and Intensive Care, Department of Medicine and Surgery, University of Perugia, 06123 Perugia, ItalyAnesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, ItalyAnesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, ItalyAnesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, ItalyAnesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, ItalyClinical and Evaluational Epidemiologic Service, Department of Governance, Local Health Authority, 38123 Trento, ItalyAnesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, ItalyBackground: During the COVID-19 pandemic, lung ultrasound (LUS) has been widely used since it can be performed at the patient’s bedside, does not produce ionizing radiation, and is sufficiently accurate. The LUS score allows for quantifying lung involvement; however, its clinical prognostic role is still controversial. Methods: A retrospective observational study on 103 COVID-19 patients with respiratory failure that were assessed with an LUS score at intensive care unit (ICU) admission and discharge in a tertiary university COVID-19 referral center. Results: The deceased patients had a higher LUS score at admission than the survivors (25.7 vs. 23.5; <i>p</i>-value = 0.02; cut-off value of 25; Odds Ratio (OR) 1.1; Interquartile Range (IQR) 1.0−1.2). The predictive regression model shows that the value of LUSt0 (OR 1.1; IQR 1.0–1.3), age (OR 1.1; IQR 1.0−1.2), sex (OR 0.7; IQR 0.2−3.6), and days in spontaneous breathing (OR 0.2; IQR 0.1–0.5) predict the risk of death for COVID-19 patients (Area under the Curve (AUC) 0.92). Furthermore, the surviving patients showed a significantly lower difference between LUS scores at admission and discharge (mean difference of 1.75, <i>p</i>-value = 0.03). Conclusion: Upon entry into the ICU, the LUS score may play a prognostic role in COVID-19 patients with ARDS. Furthermore, employing the LUS score as a monitoring tool allows for evaluating the patients with a higher probability of survival.https://www.mdpi.com/2227-9032/10/3/568COVID-19critical carelung ultrasoundlung ultrasound scoreacute respiratory distress syndrome |
spellingShingle | Luigi Vetrugno Francesco Meroi Daniele Orso Natascia D’Andrea Matteo Marin Gianmaria Cammarota Lisa Mattuzzi Silvia Delrio Davide Furlan Jonathan Foschiani Francesca Valent Tiziana Bove Can Lung Ultrasound Be the Ideal Monitoring Tool to Predict the Clinical Outcome of Mechanically Ventilated COVID-19 Patients? An Observational Study Healthcare COVID-19 critical care lung ultrasound lung ultrasound score acute respiratory distress syndrome |
title | Can Lung Ultrasound Be the Ideal Monitoring Tool to Predict the Clinical Outcome of Mechanically Ventilated COVID-19 Patients? An Observational Study |
title_full | Can Lung Ultrasound Be the Ideal Monitoring Tool to Predict the Clinical Outcome of Mechanically Ventilated COVID-19 Patients? An Observational Study |
title_fullStr | Can Lung Ultrasound Be the Ideal Monitoring Tool to Predict the Clinical Outcome of Mechanically Ventilated COVID-19 Patients? An Observational Study |
title_full_unstemmed | Can Lung Ultrasound Be the Ideal Monitoring Tool to Predict the Clinical Outcome of Mechanically Ventilated COVID-19 Patients? An Observational Study |
title_short | Can Lung Ultrasound Be the Ideal Monitoring Tool to Predict the Clinical Outcome of Mechanically Ventilated COVID-19 Patients? An Observational Study |
title_sort | can lung ultrasound be the ideal monitoring tool to predict the clinical outcome of mechanically ventilated covid 19 patients an observational study |
topic | COVID-19 critical care lung ultrasound lung ultrasound score acute respiratory distress syndrome |
url | https://www.mdpi.com/2227-9032/10/3/568 |
work_keys_str_mv | AT luigivetrugno canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT francescomeroi canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT danieleorso canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT natasciadandrea canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT matteomarin canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT gianmariacammarota canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT lisamattuzzi canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT silviadelrio canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT davidefurlan canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT jonathanfoschiani canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT francescavalent canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy AT tizianabove canlungultrasoundbetheidealmonitoringtooltopredicttheclinicaloutcomeofmechanicallyventilatedcovid19patientsanobservationalstudy |