Relevance of lung ultrasound in the diagnostic algorithm of respiratory diseases in a real‐life setting: A multicentre prospective study

ABSTRACT Background and objective The aim of this study was to assess the role of lung ultrasound (LUS) in a diagnostic algorithm of respiratory diseases, and to establish the accuracy of LUS compared with chest radiography (CXR). Methods Over a period of 2 years, 509 consecutive patients admitted f...

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Published inRespirology (Carlton, Vic.) Vol. 25; no. 5; pp. 535 - 542
Main Authors Rinaldi, Luca, Milione, Stefania, Fascione, Maria Chiara, Pafundi, Pia Clara, Altruda, Concetta, Di Caterino, Mafalda, Monaco, Lucio, Reginelli, Alfonso, Perrotta, Fabio, Porta, Giovanni, Venafro, Mario, Acierno, Carlo, Mastrocinque, Davide, Giordano, Mauro, Bianco, Andrea, Sasso, Ferdinando Carlo, Adinolfi, Luigi Elio
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 01.05.2020
Wiley Subscription Services, Inc
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Online AccessGet full text
ISSN1323-7799
1440-1843
1440-1843
DOI10.1111/resp.13659

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Abstract ABSTRACT Background and objective The aim of this study was to assess the role of lung ultrasound (LUS) in a diagnostic algorithm of respiratory diseases, and to establish the accuracy of LUS compared with chest radiography (CXR). Methods Over a period of 2 years, 509 consecutive patients admitted for respiratory‐related symptoms to both emergency and general medicine wards were enrolled and evaluated using LUS and CXR. LUS was conducted by expert operators who were blinded to the medical history and laboratory data. Computed tomography (CT) of the chest was performed in case of discordance between the CXR and LUS, suspected lung cancer and an inconclusive diagnosis. Diagnosis made by CT was considered the gold standard. Results The difference in sensitivity and specificity between LUS and CXR as demonstrated by ROC curve analyses (LUS‐AUROC: 0.853; specificity: 81.6%; sensitivity: 93.9% vs CXR‐AUROC: 0.763; specificity: 57.4%; sensitivity: 96.3%) was significant (P = 0.001). Final diagnosis included 240 cases (47.2%) of pneumonia, 44 patients with cancer (8.6%), 20 patients with chronic obstructive pulmonary disease (COPD, 3.9%), 24 patients with heart failure (4.7%) and others (6.1%). In 108 patients (21.2%) with any lung pathology, a CT scan was performed with a positive diagnosis in 96 cases (88.9%); we found that CXR and LUS detected no abnormality in 24 (25%) and 5 (5.2%) cases, respectively. LUS was concordant with the final diagnosis (P < 0.0001), and in healthy patients, there was a low percentage of false positives (5.9%). Conclusion The results support the routine use of LUS in the clinical context. Lung ultrasound (LUS) provided a useful diagnostic workup of respiratory disease, either by directly identifying pathological findings or by detecting indirect signs of illness, as in lung cancer. Overall, LUS was not inferior to chest radiography and routine use in medical wards or in emergency department settings is beneficial. See related Editorial
AbstractList The aim of this study was to assess the role of lung ultrasound (LUS) in a diagnostic algorithm of respiratory diseases, and to establish the accuracy of LUS compared with chest radiography (CXR). Over a period of 2 years, 509 consecutive patients admitted for respiratory-related symptoms to both emergency and general medicine wards were enrolled and evaluated using LUS and CXR. LUS was conducted by expert operators who were blinded to the medical history and laboratory data. Computed tomography (CT) of the chest was performed in case of discordance between the CXR and LUS, suspected lung cancer and an inconclusive diagnosis. Diagnosis made by CT was considered the gold standard. The difference in sensitivity and specificity between LUS and CXR as demonstrated by ROC curve analyses (LUS-AUROC: 0.853; specificity: 81.6%; sensitivity: 93.9% vs CXR-AUROC: 0.763; specificity: 57.4%; sensitivity: 96.3%) was significant (P = 0.001). Final diagnosis included 240 cases (47.2%) of pneumonia, 44 patients with cancer (8.6%), 20 patients with chronic obstructive pulmonary disease (COPD, 3.9%), 24 patients with heart failure (4.7%) and others (6.1%). In 108 patients (21.2%) with any lung pathology, a CT scan was performed with a positive diagnosis in 96 cases (88.9%); we found that CXR and LUS detected no abnormality in 24 (25%) and 5 (5.2%) cases, respectively. LUS was concordant with the final diagnosis (P < 0.0001), and in healthy patients, there was a low percentage of false positives (5.9%). The results support the routine use of LUS in the clinical context.
The aim of this study was to assess the role of lung ultrasound (LUS) in a diagnostic algorithm of respiratory diseases, and to establish the accuracy of LUS compared with chest radiography (CXR).BACKGROUND AND OBJECTIVEThe aim of this study was to assess the role of lung ultrasound (LUS) in a diagnostic algorithm of respiratory diseases, and to establish the accuracy of LUS compared with chest radiography (CXR).Over a period of 2 years, 509 consecutive patients admitted for respiratory-related symptoms to both emergency and general medicine wards were enrolled and evaluated using LUS and CXR. LUS was conducted by expert operators who were blinded to the medical history and laboratory data. Computed tomography (CT) of the chest was performed in case of discordance between the CXR and LUS, suspected lung cancer and an inconclusive diagnosis. Diagnosis made by CT was considered the gold standard.METHODSOver a period of 2 years, 509 consecutive patients admitted for respiratory-related symptoms to both emergency and general medicine wards were enrolled and evaluated using LUS and CXR. LUS was conducted by expert operators who were blinded to the medical history and laboratory data. Computed tomography (CT) of the chest was performed in case of discordance between the CXR and LUS, suspected lung cancer and an inconclusive diagnosis. Diagnosis made by CT was considered the gold standard.The difference in sensitivity and specificity between LUS and CXR as demonstrated by ROC curve analyses (LUS-AUROC: 0.853; specificity: 81.6%; sensitivity: 93.9% vs CXR-AUROC: 0.763; specificity: 57.4%; sensitivity: 96.3%) was significant (P = 0.001). Final diagnosis included 240 cases (47.2%) of pneumonia, 44 patients with cancer (8.6%), 20 patients with chronic obstructive pulmonary disease (COPD, 3.9%), 24 patients with heart failure (4.7%) and others (6.1%). In 108 patients (21.2%) with any lung pathology, a CT scan was performed with a positive diagnosis in 96 cases (88.9%); we found that CXR and LUS detected no abnormality in 24 (25%) and 5 (5.2%) cases, respectively. LUS was concordant with the final diagnosis (P < 0.0001), and in healthy patients, there was a low percentage of false positives (5.9%).RESULTSThe difference in sensitivity and specificity between LUS and CXR as demonstrated by ROC curve analyses (LUS-AUROC: 0.853; specificity: 81.6%; sensitivity: 93.9% vs CXR-AUROC: 0.763; specificity: 57.4%; sensitivity: 96.3%) was significant (P = 0.001). Final diagnosis included 240 cases (47.2%) of pneumonia, 44 patients with cancer (8.6%), 20 patients with chronic obstructive pulmonary disease (COPD, 3.9%), 24 patients with heart failure (4.7%) and others (6.1%). In 108 patients (21.2%) with any lung pathology, a CT scan was performed with a positive diagnosis in 96 cases (88.9%); we found that CXR and LUS detected no abnormality in 24 (25%) and 5 (5.2%) cases, respectively. LUS was concordant with the final diagnosis (P < 0.0001), and in healthy patients, there was a low percentage of false positives (5.9%).The results support the routine use of LUS in the clinical context.CONCLUSIONThe results support the routine use of LUS in the clinical context.
Background and objectiveThe aim of this study was to assess the role of lung ultrasound (LUS) in a diagnostic algorithm of respiratory diseases, and to establish the accuracy of LUS compared with chest radiography (CXR).MethodsOver a period of 2 years, 509 consecutive patients admitted for respiratory‐related symptoms to both emergency and general medicine wards were enrolled and evaluated using LUS and CXR. LUS was conducted by expert operators who were blinded to the medical history and laboratory data. Computed tomography (CT) of the chest was performed in case of discordance between the CXR and LUS, suspected lung cancer and an inconclusive diagnosis. Diagnosis made by CT was considered the gold standard.ResultsThe difference in sensitivity and specificity between LUS and CXR as demonstrated by ROC curve analyses (LUS‐AUROC: 0.853; specificity: 81.6%; sensitivity: 93.9% vs CXR‐AUROC: 0.763; specificity: 57.4%; sensitivity: 96.3%) was significant (P = 0.001). Final diagnosis included 240 cases (47.2%) of pneumonia, 44 patients with cancer (8.6%), 20 patients with chronic obstructive pulmonary disease (COPD, 3.9%), 24 patients with heart failure (4.7%) and others (6.1%). In 108 patients (21.2%) with any lung pathology, a CT scan was performed with a positive diagnosis in 96 cases (88.9%); we found that CXR and LUS detected no abnormality in 24 (25%) and 5 (5.2%) cases, respectively. LUS was concordant with the final diagnosis (P < 0.0001), and in healthy patients, there was a low percentage of false positives (5.9%).ConclusionThe results support the routine use of LUS in the clinical context.
ABSTRACT Background and objective The aim of this study was to assess the role of lung ultrasound (LUS) in a diagnostic algorithm of respiratory diseases, and to establish the accuracy of LUS compared with chest radiography (CXR). Methods Over a period of 2 years, 509 consecutive patients admitted for respiratory‐related symptoms to both emergency and general medicine wards were enrolled and evaluated using LUS and CXR. LUS was conducted by expert operators who were blinded to the medical history and laboratory data. Computed tomography (CT) of the chest was performed in case of discordance between the CXR and LUS, suspected lung cancer and an inconclusive diagnosis. Diagnosis made by CT was considered the gold standard. Results The difference in sensitivity and specificity between LUS and CXR as demonstrated by ROC curve analyses (LUS‐AUROC: 0.853; specificity: 81.6%; sensitivity: 93.9% vs CXR‐AUROC: 0.763; specificity: 57.4%; sensitivity: 96.3%) was significant (P = 0.001). Final diagnosis included 240 cases (47.2%) of pneumonia, 44 patients with cancer (8.6%), 20 patients with chronic obstructive pulmonary disease (COPD, 3.9%), 24 patients with heart failure (4.7%) and others (6.1%). In 108 patients (21.2%) with any lung pathology, a CT scan was performed with a positive diagnosis in 96 cases (88.9%); we found that CXR and LUS detected no abnormality in 24 (25%) and 5 (5.2%) cases, respectively. LUS was concordant with the final diagnosis (P < 0.0001), and in healthy patients, there was a low percentage of false positives (5.9%). Conclusion The results support the routine use of LUS in the clinical context. Lung ultrasound (LUS) provided a useful diagnostic workup of respiratory disease, either by directly identifying pathological findings or by detecting indirect signs of illness, as in lung cancer. Overall, LUS was not inferior to chest radiography and routine use in medical wards or in emergency department settings is beneficial. See related Editorial
Author Adinolfi, Luigi Elio
Sasso, Ferdinando Carlo
Porta, Giovanni
Venafro, Mario
Altruda, Concetta
Di Caterino, Mafalda
Rinaldi, Luca
Pafundi, Pia Clara
Giordano, Mauro
Milione, Stefania
Perrotta, Fabio
Acierno, Carlo
Mastrocinque, Davide
Reginelli, Alfonso
Bianco, Andrea
Fascione, Maria Chiara
Monaco, Lucio
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pneumonia
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radiology and other imaging
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Snippet ABSTRACT Background and objective The aim of this study was to assess the role of lung ultrasound (LUS) in a diagnostic algorithm of respiratory diseases, and...
The aim of this study was to assess the role of lung ultrasound (LUS) in a diagnostic algorithm of respiratory diseases, and to establish the accuracy of LUS...
Background and objectiveThe aim of this study was to assess the role of lung ultrasound (LUS) in a diagnostic algorithm of respiratory diseases, and to...
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SubjectTerms Algorithms
Chest
Chronic obstructive pulmonary disease
clinic respiratory medicine
Computed tomography
Congestive heart failure
Diagnosis
Discordance
Lung cancer
Lung diseases
Obstructive lung disease
Patients
pneumonia
pulmonary embolism
Pulmonary embolisms
Radiography
radiology and other imaging
Respiratory diseases
Ultrasonic imaging
Ultrasound
Title Relevance of lung ultrasound in the diagnostic algorithm of respiratory diseases in a real‐life setting: A multicentre prospective study
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fresp.13659
https://www.ncbi.nlm.nih.gov/pubmed/31373748
https://www.proquest.com/docview/2389598078
https://www.proquest.com/docview/2268308727
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