"Correlation Between PaO2/FiO2 and Lung Ultrasound Score in Patients Admitted to an Intensive Care Unit With Interstitial Syndrome"
Study Details
Study Description
Brief Summary
The goal of this physiological interventional prospective study is to evaluate the improvement of the previously demonstrated correlation between PaO2/ FiO2 and Lung Ultrasound score (LUSS) in patients admitted in the ICU with an intesrtitial syndrom (IS) on the ultrasound of all aetiologies at inclusion and at twenty four and forty eight hours.
The main question it aims to answer is if the LUSS is a valid tool to evaluate the severity of the IS Participants will initially have an arterial blood gas to evaluate the PaO2/FiO2 and in the ten minutes a lung ultrasound to evaluate the LUSS. This will be repeated at twenty four and forty eight hours.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
|
N/A |
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Experimental: Patient Population All patients included in the study, meaning patients in the ICU presenting an interstitial syndrom no matter the aetiology |
Other: Lung Ultrasound
Evaluation of the Lung Ultrasound Score in patients presenting an interstitial syndrom on the lung ultrasound and to compare it with PaO2/FiO2
|
Outcome Measures
Primary Outcome Measures
- Correlation PaO2/FiO2 and LUSS [At inclusion]
To assess the correlation between the PaO2/FiO2 and the LUSS in patients admitted in an ICU with IS.
Secondary Outcome Measures
- Evolution [Twenty four and forty eight hours]
To assess the evolution of the correlation between the PaO2/FiO2 and the LUSS at inclusion, twenty-four hours, and forty-eight hours after inclusion in patients admitted in an ICU with IS.
- Lung Ultrasound Score and SOFA score [Inclusion,twenty four and forty eight hours]
to assess the presence of a correlation between LUSS and the SOFA score at inclusion, twenty-four et forty-eight hours of inclusion in patient admitted to an ICU with IS.
- Influence SOFA on the correlation between PaO2/FiO2 and LUSS [Inclusion,twenty four and forty eight hours]
To determine the influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS.
- Pleural Effusions [Inclusion, twenty four and forty eight hours]
To to determine the influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS.
- Correlation PaO2/FiO2 and the LUSS according to IS diagnosis [Inclusion]
To assess the correlation between the PaO2/FiO2 and the LUSS in patients admitted in an ICU with IS According to the aetiologic diagnosis attributed to the IS (pulmonary oedema, bacterial or viral infection, post operative reactionary hypoventilation) The end point of this secondary outcome considers the null hypothesis to be an improvement of 0,214 of the correlation between PaO2/FiO2 and LUSS
- Correlation between the PaO2/FiO2 and the LUSS admission diagnosis [Inclusion]
To assess the correlation between the PaO2/FiO2 and the LUSS in patients admitted in an ICU with IS according to admission diagnosis (cardiogenic shock, sepsis, infection, post operative)
- Correlation between the PaO2/FiO2 and the LUSS according to the LUSS value [Inclusion]
To assess the correlation between the PaO2/FiO2 and the LUSS in patients admitted in an ICU with IS according to LUSS value (between two and six and between seven and thirty-six) The end point of this secondary outcome considers a negative linear distribution for PaO2/FiO2 and LUSS values
- Correlation between the PaO2/FiO2 and LUSS according to hypoxemia [Inclusion]
To assess the correlation between the PaO2/FiO2 and the LUSS in patients admitted in an ICU with IS acordiing on hypoxemia severity based on PaO2/FiO2 as defined for ARDS3 (mild hypoxemia with PaO2/FiO2 between three hundred and two hundred, moderate hypoxemia with PaO2/FiO2 between one hundred and two hundred and severe hypoxemia with a PaO2/FiO2 of less than one hundred)
- Correlation between the PaO2/FiO2 and LUSS according to the RR at admission [Inclusion]
To assess the correlation between the PaO2/FiO2 and the LUSS in patients admitted in an ICU with IS according to Respiratory Rate (RR) (low RR of less than twelve per minute, normal RR between twelve and twenty and elevated RR of more than twenty)
- Evolution of the correlation between the PaO2/FiO2 and the LUSS according to IS diagnosis [Twenty four and forty eight hours]
To assess the evolution of the correlation between the PaO2/FiO2 and the LUSS at inclusion, twenty-four hours, and forty-eight hours after inclusion in patients admitted in an ICU with IS According to the aetiologic diagnosis attributed to the IS (pulmonary oedema, bacterial or viral infection, post operative reactionary hypoventilation) a negative linear distribution for PaO2/FiO2 and LUSS values
- Evolution of the correlation between the PaO2/FiO2 and the LUSS according to admission diagnosis [Twenty four and forty eight hours]
To assess the evolution of the correlation between the PaO2/FiO2 and the LUSS at inclusion, twenty-four hours, and forty-eight hours after inclusion in patients admitted in an ICU with IS according to admission diagnosis (cardiogenic shock, sepsis, infection, post operative)
- Evolution of the correlation between the PaO2/FiO2 and the LUSS according to LUSS value [Twenty four and forty eight hours]
To assess the evolution of the correlation between the PaO2/FiO2 and the LUSS at inclusion, twenty-four hours, and forty-eight hours after inclusion in patients admitted in an ICU with IS according to LUSS value (between two and six and between seven and thirty-six)
- Evolution of the correlation between the PaO2/FiO2 and the LUSS according to hypoxemia severity [Twenty four and forty eight hours]
To assess the evolution of the correlation between the PaO2/FiO2 and the LUSS at inclusion, twenty-four hours, and forty-eight hours after inclusion in patients admitted in an ICU with IS acordiing on hypoxemia severity based on PaO2/FiO2 as defined for ARDS3 (mild hypoxemia with PaO2/FiO2 between three hundred and two hundred, moderate hypoxemia with PaO2/FiO2 between one hundred and two hundred and severe hypoxemia with a PaO2/FiO2 of less than one hundred)
- Evolution of the correlation between the PaO2/FiO2 and the LUSS according RR [Twenty four and forty eight hours]
To assess the evolution of the correlation between the PaO2/FiO2 and the LUSS at inclusion, twenty-four hours, and forty-eight hours after inclusion in patients admitted in an ICU with IS according to Respiratory Rate (RR) (low RR of less than twelve per minute, normal RR between twelve and twenty and elevated RR of more than twenty)
- Correlation between LUSS and the SOFA score at inclusion according to the diagnosis of the IS [Inclusion,twenty four and forty eight hours]
To assess the presence of a correlation between LUSS and the SOFA score at inclusion, twenty-four et forty-eight hours of inclusion in patient admitted to an ICU with IS According to the aetiologic diagnosis attributed to the IS (pulmonary oedema, bacterial or viral infection, post operative reactionary hypoventilation) The end point of this secondary outcome considers a positive linear correlation between LUSS and SOFA score and a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the SOFA score
- Correlation between LUSS and the SOFA score at inclusion according to admission diagnosis [Inclusion,twenty four and forty eight hours]
to assess the presence of a correlation between LUSS and the SOFA score at inclusion, twenty-four et forty-eight hours of inclusion in patient admitted to an ICU with IS according to admission diagnosis (cardiogenic shock, sepsis, infection, post operative) The end point of this secondary outcome considers a positive linear correlation between LUSS and SOFA score and a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the SOFA score
- Correlation between LUSS and the SOFA score according to the LUSS value [Inclusion,twenty four and forty eight hours]
to assess the presence of a correlation between LUSS and the SOFA score at inclusion, twenty-four et forty-eight hours of inclusion in patient admitted to an ICU with IS according to LUSS value (between two and six and between seven and thirty-six) The end point of this secondary outcome considers a positive linear correlation between LUSS and SOFA score and a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the SOFA score
- Correlation between LUSS and the SOFA score according to hypoxemia severity [Inclusion,twenty four and forty eight hours]
to assess the presence of a correlation between LUSS and the SOFA score at inclusion, twenty-four et forty-eight hours of inclusion in patient admitted to an ICU with IS acordiing on hypoxemia severity based on PaO2/FiO2 as defined for ARDS3 (mild hypoxemia with PaO2/FiO2 between three hundred and two hundred, moderate hypoxemia with PaO2/FiO2 between one hundred and two hundred and severe hypoxemia with a PaO2/FiO2 of less than one hundred) The end point of this secondary outcome considers a positive linear correlation between LUSS and SOFA score and a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the SOFA score
- Correlation between LUSS and the SOFA score according to the RR [Inclusion,twenty four and forty eight hours]
to assess the presence of a correlation between LUSS and the SOFA score at inclusion, twenty-four et forty-eight hours of inclusion in patient admitted to an ICU with IS according to Respiratory Rate (RR) (low RR of less than twelve per minute, normal RR between twelve and twenty and elevated RR of more than twenty) The end point of this secondary outcome considers a positive linear correlation between LUSS and SOFA score and a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the SOFA score
- Influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS according to IS diagnosis [Inclusion,twenty four and forty eight hours]
To determine the influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS According to the aetiologic diagnosis attributed to the IS (pulmonary oedema, bacterial or viral infection, post operative reactionary hypoventilation) The end point of this secondary outcome considers a positive linear correlation between LUSS and SOFA score and a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the SOFA score
- Influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS according to admission diagnosis [Inclusion,twenty four and forty eight hours]
To determine the influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with ISaccording to admission diagnosis (cardiogenic shock, sepsis, infection, post operative) The end point of this secondary outcome considers a positive linear correlation between LUSS and SOFA score and a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the SOFA score
- Influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS according to LUSS value [Inclusion,twenty four and forty eight hours]
To determine the influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS according to LUSS value (between two and six and between seven and thirty-six) The end point of this secondary outcome considers a positive linear correlation between LUSS and SOFA score and a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the SOFA score
- Influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS according to hypoxemia severity [Inclusion,twenty four and forty eight hours]
To determine the influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS acordiing on hypoxemia severity based on PaO2/FiO2 as defined for ARDS3 (mild hypoxemia with PaO2/FiO2 between three hundred and two hundred, moderate hypoxemia with PaO2/FiO2 between one hundred and two hundred and severe hypoxemia with a PaO2/FiO2 of less than one hundred) The end point of this secondary outcome considers a positive linear correlation between LUSS and SOFA score and a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the SOFA score
- Influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS according to RR [Inclusion,twenty four and forty eight hours]
To determine the influence of the SOFA score on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS.according to Respiratory Rate (RR) (low RR of less than twelve per minute, normal RR between twelve and twenty and elevated RR of more than twenty) The end point of this secondary outcome considers a positive linear correlation between LUSS and SOFA score and a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the SOFA score
- Influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS according to IS diagnosis [Inclusion,twenty four and forty eight hours]
To determine the influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS According to the aetiologic diagnosis attributed to the IS (pulmonary oedema, bacterial or viral infection, post operative reactionary hypoventilation) The end point of this secondary outcome considers a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the presence of pleural effusions and pleural effusions' size.
- Influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS according to admission diagnosis [Inclusion,twenty four and forty eight hours]
To determine the influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS according to admission diagnosis (cardiogenic shock, sepsis, infection, post operative) The end point of this secondary outcome considers a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the presence of pleural effusions and pleural effusions' size.
- Influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS according to LUSS value [Inclusion,twenty four and forty eight hours]
To determine the influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS according to LUSS value (between two and six and between seven and thirty-six) The end point of this secondary outcome considers a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the presence of pleural effusions and pleural effusions' size.
- Influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS according to hypoxemia severity [Inclusion,twenty four and forty eight hours]
To determine the influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS acordiing to hypoxemia severity based on PaO2/FiO2 as defined for ARDS3 (mild hypoxemia with PaO2/FiO2 between three hundred and two hundred, moderate hypoxemia with PaO2/FiO2 between one hundred and two hundred and severe hypoxemia with a PaO2/FiO2 of less than one hundred) The end point of this secondary outcome considers a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the presence of pleural effusions and pleural effusions' size.
- Influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS according to RR [Inclusion,twenty four and forty eight hours]
To the influence of the presence and size of pleural effusions on the correlation between PaO2/FiO2 and LUSS at inclusion, twenty-four et forty-eight hours of inclusion in patients admitted to an ICU with IS according to Respiratory Rate (RR) (low RR of less than twelve per minute, normal RR between twelve and twenty and elevated RR of more than twenty) The end point of this secondary outcome considers a negative linear distribution for the correlation between PaO2/FiO2 and LUSS corrected by the presence of pleural effusions and pleural effusions' size.
Eligibility Criteria
Criteria
Inclusion Criteria:
- consent
->17 years old
Exclusion Criteria:
- LUSS < 2
Non Inclusion Criteria:
-
Patient with pathologies leading to chronic IS
-
Chronic Obstructive Pulmonary Disease (COPD) or active asthma
-
Patients under veino-veinous or veino-arterial " Extracorporeal Membrane Oxygenation " (ECMO)
-
Severe trauma patients
-
Less than twenty-four hours post operative patients
-
LUS not feasible: prone position, pneumonectomy history, severe obesity
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Centres Hospitaliers de Jolimont | Haine-Saint-Paul | Hainaut | Belgium | 7100 |
| 2 | Cliniques universitaires saint luc | Brussel | Belgium | 1200 |
Sponsors and Collaborators
- Cliniques universitaires Saint-Luc- Université Catholique de Louvain
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
- 28 Vasseur E, Moureau G, Fasseaux A et al, Correlation between Correlation between hypoxaemia and lung ultrasound score in patients presenting to an emergency department with interstitial syndrome: a prospective physiological study. Crit Care Resusc 2022; 24 (3): 233-4
- Agricola E, Bove T, Oppizzi M, Marino G, Zangrillo A, Margonato A, Picano E. "Ultrasound comet-tail images": a marker of pulmonary edema: a comparative study with wedge pressure and extravascular lung water. Chest. 2005 May;127(5):1690-5. doi: 10.1378/chest.127.5.1690.
- ARDS Definition Task Force; Ranieri VM, Rubenfeld GD, Thompson BT, Ferguson ND, Caldwell E, Fan E, Camporota L, Slutsky AS. Acute respiratory distress syndrome: the Berlin Definition. JAMA. 2012 Jun 20;307(23):2526-33. doi: 10.1001/jama.2012.5669.
- Balik M, Plasil P, Waldauf P, Pazout J, Fric M, Otahal M, Pachl J. Ultrasound estimation of volume of pleural fluid in mechanically ventilated patients. Intensive Care Med. 2006 Feb;32(2):318. doi: 10.1007/s00134-005-0024-2. Epub 2006 Jan 24.
- Bouhemad B, Brisson H, Le-Guen M, Arbelot C, Lu Q, Rouby JJ. Bedside ultrasound assessment of positive end-expiratory pressure-induced lung recruitment. Am J Respir Crit Care Med. 2011 Feb 1;183(3):341-7. doi: 10.1164/rccm.201003-0369OC. Epub 2010 Sep 17.
- Bouhemad B, Liu ZH, Arbelot C, Zhang M, Ferarri F, Le-Guen M, Girard M, Lu Q, Rouby JJ. Ultrasound assessment of antibiotic-induced pulmonary reaeration in ventilator-associated pneumonia. Crit Care Med. 2010 Jan;38(1):84-92. doi: 10.1097/CCM.0b013e3181b08cdb.
- Brogi E, Bignami E, Sidoti A, Shawar M, Gargani L, Vetrugno L, Volpicelli G, Forfori F. Could the use of bedside lung ultrasound reduce the number of chest x-rays in the intensive care unit? Cardiovasc Ultrasound. 2017 Sep 13;15(1):23. doi: 10.1186/s12947-017-0113-8.
- Brogi E, Gargani L, Bignami E, Barbariol F, Marra A, Forfori F, Vetrugno L. Thoracic ultrasound for pleural effusion in the intensive care unit: a narrative review from diagnosis to treatment. Crit Care. 2017 Dec 28;21(1):325. doi: 10.1186/s13054-017-1897-5.
- Fan E, Brodie D, Slutsky AS. Acute Respiratory Distress Syndrome: Advances in Diagnosis and Treatment. JAMA. 2018 Feb 20;319(7):698-710. doi: 10.1001/jama.2017.21907.
- Gupta B, Jain G, Chandrakar S, Gupta N, Agarwal A. Arterial Blood Gas as a Predictor of Mortality in COVID Pneumonia Patients Initiated on Noninvasive Mechanical Ventilation: A Retrospective Analysis. Indian J Crit Care Med. 2021 Aug;25(8):866-871. doi: 10.5005/jp-journals-10071-23917.
- Jambrik Z, Monti S, Coppola V, Agricola E, Mottola G, Miniati M, Picano E. Usefulness of ultrasound lung comets as a nonradiologic sign of extravascular lung water. Am J Cardiol. 2004 May 15;93(10):1265-70. doi: 10.1016/j.amjcard.2004.02.012.
- Lambden S, Laterre PF, Levy MM, Francois B. The SOFA score-development, utility and challenges of accurate assessment in clinical trials. Crit Care. 2019 Nov 27;23(1):374. doi: 10.1186/s13054-019-2663-7.
- Li L, Yang Q, Li L, Guan J, Liu Z, Han J, Chao Y, Wang Z, Yu X. [The value of lung ultrasound score on evaluating clinical severity and prognosis in patients with acute respiratory distress syndrome]. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2015 Jul;27(7):579-84. doi: 10.3760/cma.j.issn.2095-4352.2015.07.008. Chinese.
- Li L, Yao Y, Liu S. The Value of Pulmonary Bedside Ultrasound System in the Evaluation of Severity and Prognosis of Acute Lung Injury. Comput Math Methods Med. 2022 Jan 27;2022:6471437. doi: 10.1155/2022/6471437. eCollection 2022.
- Lichtenstein D, Goldstein I, Mourgeon E, Cluzel P, Grenier P, Rouby JJ. Comparative diagnostic performances of auscultation, chest radiography, and lung ultrasonography in acute respiratory distress syndrome. Anesthesiology. 2004 Jan;100(1):9-15. doi: 10.1097/00000542-200401000-00006.
- Lichtenstein D, Meziere G, Biderman P, Gepner A, Barre O. The comet-tail artifact. An ultrasound sign of alveolar-interstitial syndrome. Am J Respir Crit Care Med. 1997 Nov;156(5):1640-6. doi: 10.1164/ajrccm.156.5.96-07096.
- Minana G, Nunez J, Banuls P, Sanchis J, Nunez E, Robles R, Mascarell B, Palau P, Chorro FJ, Llacer A. Prognostic implications of arterial blood gases in acute decompensated heart failure. Eur J Intern Med. 2011 Oct;22(5):489-94. doi: 10.1016/j.ejim.2011.01.014. Epub 2011 Feb 25.
- Mojoli F, Bouhemad B, Mongodi S, Lichtenstein D. Lung Ultrasound for Critically Ill Patients. Am J Respir Crit Care Med. 2019 Mar 15;199(6):701-714. doi: 10.1164/rccm.201802-0236CI. Erratum In: Am J Respir Crit Care Med. 2020 Apr 15;201(8):1015. Am J Respir Crit Care Med. 2020 Jun 1;201(11):1454.
- Peach RJ, Day WA, Ellingsen PJ, McGiven AR. Ultrastructural localization of Tamm-Horsfall protein in human kidney using immunogold electron microscopy. Histochem J. 1988 Mar;20(3):156-64. doi: 10.1007/BF01746679.
- Pisani L, Vercesi V, van Tongeren PSI, Lagrand WK, Leopold SJ, Huson MAM, Henwood PC, Walden A, Smit MR, Riviello ED, Pelosi P, Dondorp AM, Schultz MJ; Lung Ultrasound Consortium. The diagnostic accuracy for ARDS of global versus regional lung ultrasound scores - a post hoc analysis of an observational study in invasively ventilated ICU patients. Intensive Care Med Exp. 2019 Jul 25;7(Suppl 1):44. doi: 10.1186/s40635-019-0241-6.
- Remerand F, Dellamonica J, Mao Z, Ferrari F, Bouhemad B, Jianxin Y, Arbelot C, Lu Q, Ichai C, Rouby JJ. Multiplane ultrasound approach to quantify pleural effusion at the bedside. Intensive Care Med. 2010 Apr;36(4):656-64. doi: 10.1007/s00134-010-1769-9. Epub 2010 Feb 6.
- Roch A, Bojan M, Michelet P, Romain F, Bregeon F, Papazian L, Auffray JP. Usefulness of ultrasonography in predicting pleural effusions > 500 mL in patients receiving mechanical ventilation. Chest. 2005 Jan;127(1):224-32. doi: 10.1378/chest.127.1.224.
- Soldati G, Copetti R, Sher S. Sonographic interstitial syndrome: the sound of lung water. J Ultrasound Med. 2009 Feb;28(2):163-74. doi: 10.7863/jum.2009.28.2.163.
- Song G, Qiao W, Wang X, Yu X. Association of Lung Ultrasound Score with Mortality and Severity of COVID-19: A Meta-Analysis and Trial Sequential Analysis. Int J Infect Dis. 2021 Jul;108:603-609. doi: 10.1016/j.ijid.2021.06.026. Epub 2021 Jun 17.
- Soummer A, Perbet S, Brisson H, Arbelot C, Constantin JM, Lu Q, Rouby JJ; Lung Ultrasound Study Group. Ultrasound assessment of lung aeration loss during a successful weaning trial predicts postextubation distress*. Crit Care Med. 2012 Jul;40(7):2064-72. doi: 10.1097/CCM.0b013e31824e68ae.
- Todur P; Souvik Chaudhuri FNB Critical Care; Vedaghosh Amara FNB Critical Care; Srikant N, Prakash P. Correlation of Oxygenation and Radiographic Assessment of Lung Edema (RALE) Score to Lung Ultrasound Score (LUS) in Acute Respiratory Distress Syndrome (ARDS) Patients in the Intensive Care Unit. Can J Respir Ther. 2021 May 19;57:53-59. doi: 10.29390/cjrt-2020-063. eCollection 2021.
- Via G, Lichtenstein D, Mojoli F, Rodi G, Neri L, Storti E, Klersy C, Iotti G, Braschi A. Whole lung lavage: a unique model for ultrasound assessment of lung aeration changes. Intensive Care Med. 2010 Jun;36(6):999-1007. doi: 10.1007/s00134-010-1834-4. Epub 2010 Mar 11.
- Vignon P, Chastagner C, Berkane V, Chardac E, Francois B, Normand S, Bonnivard M, Clavel M, Pichon N, Preux PM, Maubon A, Gastinne H. Quantitative assessment of pleural effusion in critically ill patients by means of ultrasonography. Crit Care Med. 2005 Aug;33(8):1757-63. doi: 10.1097/01.ccm.0000171532.02639.08.
- Volpicelli G, Elbarbary M, Blaivas M, Lichtenstein DA, Mathis G, Kirkpatrick AW, Melniker L, Gargani L, Noble VE, Via G, Dean A, Tsung JW, Soldati G, Copetti R, Bouhemad B, Reissig A, Agricola E, Rouby JJ, Arbelot C, Liteplo A, Sargsyan A, Silva F, Hoppmann R, Breitkreutz R, Seibel A, Neri L, Storti E, Petrovic T; International Liaison Committee on Lung Ultrasound (ILC-LUS) for International Consensus Conference on Lung Ultrasound (ICC-LUS). International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med. 2012 Apr;38(4):577-91. doi: 10.1007/s00134-012-2513-4. Epub 2012 Mar 6.
- Volpicelli G, Mussa A, Garofalo G, Cardinale L, Casoli G, Perotto F, Fava C, Frascisco M. Bedside lung ultrasound in the assessment of alveolar-interstitial syndrome. Am J Emerg Med. 2006 Oct;24(6):689-96. doi: 10.1016/j.ajem.2006.02.013.
- Yue Lee FC, Jenssen C, Dietrich CF. A common misunderstanding in lung ultrasound: the comet tail artefact. Med Ultrason. 2018 Aug 30;20(3):379-384. doi: 10.11152/mu-1573.
- Zhao Z, Jiang L, Xi X, Jiang Q, Zhu B, Wang M, Xing J, Zhang D. Prognostic value of extravascular lung water assessed with lung ultrasound score by chest sonography in patients with acute respiratory distress syndrome. BMC Pulm Med. 2015 Aug 23;15:98. doi: 10.1186/s12890-015-0091-2.
- Zieleskiewicz L, Cornesse A, Hammad E, Haddam M, Brun C, Vigne C, Meyssignac B, Remacle A, Chaumoitre K, Antonini F, Martin C, Leone M. Implementation of lung ultrasound in polyvalent intensive care unit: Impact on irradiation and medical cost. Anaesth Crit Care Pain Med. 2015 Feb;34(1):41-4. doi: 10.1016/j.accpm.2015.01.002. Epub 2015 Mar 5.
- Ziskin MC, Thickman DI, Goldenberg NJ, Lapayowker MS, Becker JM. The comet tail artifact. J Ultrasound Med. 1982 Jan-Feb;1(1):1-7. doi: 10.7863/jum.1982.1.1.1.
- O2LUSSICU