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Published in: Critical Care 1/2021

Open Access 01-12-2021 | Computed Tomography | Research

Lung ultrasound in a tertiary intensive care unit population: a diagnostic accuracy study

Authors: Jasper M. Smit, Mark E. Haaksma, Michiel H. Winkler, Micah L. A. Heldeweg, Luca Arts, Erik J. Lust, Paul W. G. Elbers, Lilian J. Meijboom, Armand R. J. Girbes, Leo M. A. Heunks, Pieter R. Tuinman

Published in: Critical Care | Issue 1/2021

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Abstract

Background

Evidence from previous studies comparing lung ultrasound to thoracic computed tomography (CT) in intensive care unit (ICU) patients is limited due to multiple methodologic weaknesses. While addressing methodologic weaknesses of previous studies, the primary aim of this study is to investigate the diagnostic accuracy of lung ultrasound in a tertiary ICU population.

Methods

This is a single-center, prospective diagnostic accuracy study conducted at a tertiary ICU in the Netherlands. Critically ill patients undergoing thoracic CT for any clinical indication were included. Patients were excluded if time between the index and reference test was over eight hours. Index test and reference test consisted of 6-zone lung ultrasound and thoracic CT, respectively. Hemithoraces were classified by the index and reference test as follows: consolidation, interstitial syndrome, pneumothorax and pleural effusion. Sensitivity, specificity, positive and negative likelihood ratio were estimated.

Results

In total, 87 patients were included of which eight exceeded the time limit and were subsequently excluded. In total, there were 147 respiratory conditions in 79 patients. The estimated sensitivity and specificity to detect consolidation were 0.76 (95%CI: 0.68 to 0.82) and 0.92 (0.87 to 0.96), respectively. For interstitial syndrome they were 0.60 (95%CI: 0.48 to 0.71) and 0.69 (95%CI: 0.58 to 0.79). For pneumothorax they were 0.59 (95%CI: 0.33 to 0.82) and 0.97 (95%CI: 0.93 to 0.99). For pleural effusion they were 0.85 (95%CI: 0.77 to 0.91) and 0.77 (95%CI: 0.62 to 0.88).

Conclusions

In conclusion, lung ultrasound is an adequate diagnostic modality in a tertiary ICU population to detect consolidations, interstitial syndrome, pneumothorax and pleural effusion. Moreover, one should be careful not to interpret lung ultrasound results in deterministic fashion as multiple respiratory conditions can be present in one patient.
Trial registration This study was retrospectively registered at Netherlands Trial Register on March 17, 2021, with registration number NL9344.
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Literature
1.
go back to reference Vincent JL, Sakr Y, Ranieri VM. Epidemiology and outcome of acute respiratory failure in intensive care unit patients. Crit Care Med. 2003;31(4 Suppl):S296–9.CrossRef Vincent JL, Sakr Y, Ranieri VM. Epidemiology and outcome of acute respiratory failure in intensive care unit patients. Crit Care Med. 2003;31(4 Suppl):S296–9.CrossRef
2.
go back to reference Khan AN, Al-Jahdali H, Al-Ghanem S, Gouda A. Reading chest radiographs in the critically ill (Part II): radiography of lung pathologies common in the ICU patient. Ann Thorac Med. 2009;4(3):149–57.CrossRef Khan AN, Al-Jahdali H, Al-Ghanem S, Gouda A. Reading chest radiographs in the critically ill (Part II): radiography of lung pathologies common in the ICU patient. Ann Thorac Med. 2009;4(3):149–57.CrossRef
3.
go back to reference Lichtenstein DA. Lung ultrasound in the critically ill. Ann Intensive Care. 2014;4(1):1.CrossRef Lichtenstein DA. Lung ultrasound in the critically ill. Ann Intensive Care. 2014;4(1):1.CrossRef
4.
go back to reference Touw HR, Tuinman PR, Gelissen HP, Lust E, Elbers PW. Lung ultrasound: routine practice for the next generation of internists. Neth J Med. 2015;73(3):100–7.PubMed Touw HR, Tuinman PR, Gelissen HP, Lust E, Elbers PW. Lung ultrasound: routine practice for the next generation of internists. Neth J Med. 2015;73(3):100–7.PubMed
5.
go back to reference Verschakelen JA, De Wever W. Computed tomography of the lung : a pattern approach. 2nd ed. Berlin: Springer; 2018.CrossRef Verschakelen JA, De Wever W. Computed tomography of the lung : a pattern approach. 2nd ed. Berlin: Springer; 2018.CrossRef
6.
go back to reference Reissig A, Copetti R, Kroegel C. Current role of emergency ultrasound of the chest. Crit Care Med. 2011;39(4):839–45.CrossRef Reissig A, Copetti R, Kroegel C. Current role of emergency ultrasound of the chest. Crit Care Med. 2011;39(4):839–45.CrossRef
7.
go back to reference Lichtenstein DA, Meziere GA. Relevance of lung ultrasound in the diagnosis of acute respiratory failure: the BLUE protocol. Chest. 2008;134(1):117–25.CrossRef Lichtenstein DA, Meziere GA. Relevance of lung ultrasound in the diagnosis of acute respiratory failure: the BLUE protocol. Chest. 2008;134(1):117–25.CrossRef
8.
go back to reference Xirouchaki N, Magkanas E, Vaporidi K, Kondili E, Plataki M, Patrianakos A, et al. Lung ultrasound in critically ill patients: comparison with bedside chest radiography. Intensive Care Med. 2011;37(9):1488–93.CrossRef Xirouchaki N, Magkanas E, Vaporidi K, Kondili E, Plataki M, Patrianakos A, et al. Lung ultrasound in critically ill patients: comparison with bedside chest radiography. Intensive Care Med. 2011;37(9):1488–93.CrossRef
9.
go back to reference Winkler MH, Touw HR, van de Ven PM, Twisk J, Tuinman PR. Diagnostic accuracy of chest radiograph, and when concomitantly studied lung ultrasound, in critically Ill patients with respiratory symptoms: a systematic review and meta-analysis. Crit Care Med. 2018;46(7):e707–14.CrossRef Winkler MH, Touw HR, van de Ven PM, Twisk J, Tuinman PR. Diagnostic accuracy of chest radiograph, and when concomitantly studied lung ultrasound, in critically Ill patients with respiratory symptoms: a systematic review and meta-analysis. Crit Care Med. 2018;46(7):e707–14.CrossRef
10.
go back to reference 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;100(1):9–15.CrossRef 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;100(1):9–15.CrossRef
11.
go back to reference Tierney DM, Huelster JS, Overgaard JD, Plunkett MB, Boland LL, St Hill CA, et al. Comparative performance of pulmonary ultrasound, chest radiograph, and CT among patients with acute respiratory failure. Crit Care Med. 2020;48(2):151–7.CrossRef Tierney DM, Huelster JS, Overgaard JD, Plunkett MB, Boland LL, St Hill CA, et al. Comparative performance of pulmonary ultrasound, chest radiograph, and CT among patients with acute respiratory failure. Crit Care Med. 2020;48(2):151–7.CrossRef
12.
go back to reference Chiumello D, Umbrello M, Sferrazza Papa GF, Angileri A, Gurgitano M, Formenti P, et al. Global and regional diagnostic accuracy of lung ultrasound compared to CT in patients with acute respiratory distress syndrome. Crit Care Med. 2019;47(11):1599–606.CrossRef Chiumello D, Umbrello M, Sferrazza Papa GF, Angileri A, Gurgitano M, Formenti P, et al. Global and regional diagnostic accuracy of lung ultrasound compared to CT in patients with acute respiratory distress syndrome. Crit Care Med. 2019;47(11):1599–606.CrossRef
14.
go back to reference Nazerian P, Volpicelli G, Vanni S, Gigli C, Betti L, Bartolucci M, et al. Accuracy of lung ultrasound for the diagnosis of consolidations when compared to chest computed tomography. Am J Emerg Med. 2015;33(5):620–5.CrossRef Nazerian P, Volpicelli G, Vanni S, Gigli C, Betti L, Bartolucci M, et al. Accuracy of lung ultrasound for the diagnosis of consolidations when compared to chest computed tomography. Am J Emerg Med. 2015;33(5):620–5.CrossRef
15.
go back to reference Man MA, Dantes E, Domokos Hancu B, Bondor CI, Ruscovan A, Parau A, et al. Correlation between transthoracic lung ultrasound score and HRCT features in patients with interstitial lung diseases. J Clin Med. 2019 Aug 11;8(8). Man MA, Dantes E, Domokos Hancu B, Bondor CI, Ruscovan A, Parau A, et al. Correlation between transthoracic lung ultrasound score and HRCT features in patients with interstitial lung diseases. J Clin Med. 2019 Aug 11;8(8).
16.
go back to reference Lichtenstein DA. BLUE-protocol and FALLS-protocol: two applications of lung ultrasound in the critically ill. Chest. 2015;147(6):1659–70.CrossRef Lichtenstein DA. BLUE-protocol and FALLS-protocol: two applications of lung ultrasound in the critically ill. Chest. 2015;147(6):1659–70.CrossRef
17.
go back to reference Korevaar DA, Cohen JF, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, et al. Updating standards for reporting diagnostic accuracy: the development of STARD 2015. Research Integrity and Peer Review [Internet]. 2016 Jun 7 [cited 2020 Mar 18];1(1):7. Available from: https://doi.org/10.1186/s41073-016-0014-7 Korevaar DA, Cohen JF, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, et al. Updating standards for reporting diagnostic accuracy: the development of STARD 2015. Research Integrity and Peer Review [Internet]. 2016 Jun 7 [cited 2020 Mar 18];1(1):7. Available from: https://​doi.​org/​10.​1186/​s41073-016-0014-7
18.
go back to reference Volpicelli G, Elbarbary M, Blaivas M, Lichtenstein DA, Mathis G, Kirkpatrick AW, et al. International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med. 2012;38(4):577–91.CrossRef Volpicelli G, Elbarbary M, Blaivas M, Lichtenstein DA, Mathis G, Kirkpatrick AW, et al. International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med. 2012;38(4):577–91.CrossRef
19.
go back to reference Mojoli F, Bouhemad B, Mongodi S, Lichtenstein D. Lung ultrasound for critically Ill patients. Am J Respir Crit Care Med. 2019;199(6):701–14.CrossRef Mojoli F, Bouhemad B, Mongodi S, Lichtenstein D. Lung ultrasound for critically Ill patients. Am J Respir Crit Care Med. 2019;199(6):701–14.CrossRef
20.
go back to reference Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J. Fleischner Society: glossary of terms for thoracic imaging. Radiology. 2008;246(3):697–722.CrossRef Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J. Fleischner Society: glossary of terms for thoracic imaging. Radiology. 2008;246(3):697–722.CrossRef
21.
go back to reference Buderer NM. Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med. 1996 Sep;3(9):895–900. Buderer NM. Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med. 1996 Sep;3(9):895–900.
22.
go back to reference Simel DL, Samsa GP, Matchar DB. Likelihood ratios with confidence: sample size estimation for diagnostic test studies. J Clin Epidemiol. 1991;44(8):763–70.CrossRef Simel DL, Samsa GP, Matchar DB. Likelihood ratios with confidence: sample size estimation for diagnostic test studies. J Clin Epidemiol. 1991;44(8):763–70.CrossRef
24.
go back to reference Haaksma ME, Smit JM, Heldeweg MLA, Pisani L, Elbers P, Tuinman PR. Lung ultrasound and B-lines: B careful! Intensive Care Med. 2020;46(3):544–5.CrossRef Haaksma ME, Smit JM, Heldeweg MLA, Pisani L, Elbers P, Tuinman PR. Lung ultrasound and B-lines: B careful! Intensive Care Med. 2020;46(3):544–5.CrossRef
26.
go back to reference Heldeweg MLA, Lopez Matta JE, Haaksma ME, Smit JM, Elzo Kraemer CV, de Grooth H-J, et al. Lung ultrasound and computed tomography to monitor COVID-19 pneumonia in critically ill patients: a two-center prospective cohort study. ICMx [Internet]. 2021 Jan 25 [cited 2021 Mar 16];9(1):1. Available from: https://doi.org/10.1186/s40635-020-00367-3 Heldeweg MLA, Lopez Matta JE, Haaksma ME, Smit JM, Elzo Kraemer CV, de Grooth H-J, et al. Lung ultrasound and computed tomography to monitor COVID-19 pneumonia in critically ill patients: a two-center prospective cohort study. ICMx [Internet]. 2021 Jan 25 [cited 2021 Mar 16];9(1):1. Available from: https://​doi.​org/​10.​1186/​s40635-020-00367-3
27.
go back to reference Heldeweg MLA, Lieveld AWE, de Grooth HJ, Heunks LMA, Tuinman PR, ALIFE study group. Determining the optimal number of lung ultrasound zones to monitor COVID-19 patients: can we keep it ultra-short and ultra-simple? Intensive Care Med. 2021 Jun 26; Heldeweg MLA, Lieveld AWE, de Grooth HJ, Heunks LMA, Tuinman PR, ALIFE study group. Determining the optimal number of lung ultrasound zones to monitor COVID-19 patients: can we keep it ultra-short and ultra-simple? Intensive Care Med. 2021 Jun 26;
29.
go back to reference Singh AK, Mayo PH, Koenig S, Talwar A, Narasimhan M. The use of M-mode ultrasonography to differentiate the causes of B lines. Chest. 2018;153(3):689–96.CrossRef Singh AK, Mayo PH, Koenig S, Talwar A, Narasimhan M. The use of M-mode ultrasonography to differentiate the causes of B lines. Chest. 2018;153(3):689–96.CrossRef
Metadata
Title
Lung ultrasound in a tertiary intensive care unit population: a diagnostic accuracy study
Authors
Jasper M. Smit
Mark E. Haaksma
Michiel H. Winkler
Micah L. A. Heldeweg
Luca Arts
Erik J. Lust
Paul W. G. Elbers
Lilian J. Meijboom
Armand R. J. Girbes
Leo M. A. Heunks
Pieter R. Tuinman
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Critical Care / Issue 1/2021
Electronic ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-021-03759-3

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