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Sartini S, Ferrari L, Cutuli O, Castellani L, Cristina ML, Arboscello E, Sartini M. The Role of POCUS to Face COVID-19: A Narrative Review. J Clin Med 2024; 13:2756. [PMID: 38792298 PMCID: PMC11121862 DOI: 10.3390/jcm13102756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/03/2024] [Accepted: 05/06/2024] [Indexed: 05/26/2024] Open
Abstract
COVID-19 has been a challenging outbreak to face, with millions of deaths among the globe. Acute respiratory failure due to interstitial pneumonia was the leading cause of death other than prothrombotic activation and complications. Lung ultrasound (LUS) and point-of-care ultrasound (POCUS) are widely used not only to triage, to identify, and to monitor lungs involvement but also to assess hemodynamic status and thrombotic and hemorrhagic complications, mainly in critically ill patients. POCUS has gained growing consideration due to its bedside utilization, reliability, and reproducibility even in emergency settings especially in unstable patients. In this narrative review, we aim to describe LUS and POCUS utilization in COVID-19 infection based on the literature found on this topic. We reported the LUS patterns of COVID-19 pulmonary infection, the diagnostic accuracy with respect to CT lung scan, its prognostic value, the variety of scores and protocols proposed, and the utilization of POCUS to investigate the extra-lung complications.
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Affiliation(s)
- Stefano Sartini
- Emergency Medicine Department, IRCCS Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy; (O.C.); (L.C.); (E.A.)
| | - Lorenzo Ferrari
- Emergency Medicine Post-Graduate School, University of Genoa, Via Balbi 5, 16126 Genoa, Italy;
| | - Ombretta Cutuli
- Emergency Medicine Department, IRCCS Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy; (O.C.); (L.C.); (E.A.)
| | - Luca Castellani
- Emergency Medicine Department, IRCCS Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy; (O.C.); (L.C.); (E.A.)
| | - Maria Luisa Cristina
- Department of Health Sciences, University of Genoa, 16132 Genoa, Italy;
- Hospital Hygiene, E.O. Ospedali Galliera, Via Alessandro Volta 8, 16128 Genoa, Italy
| | - Eleonora Arboscello
- Emergency Medicine Department, IRCCS Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy; (O.C.); (L.C.); (E.A.)
| | - Marina Sartini
- Department of Health Sciences, University of Genoa, 16132 Genoa, Italy;
- Hospital Hygiene, E.O. Ospedali Galliera, Via Alessandro Volta 8, 16128 Genoa, Italy
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2
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Malík M, Dzian A, Števík M, Vetešková Š, Al Hakim A, Hliboký M, Magyar J, Kolárik M, Bundzel M, Babič F. Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?-Systematic Review. Diagnostics (Basel) 2023; 13:2995. [PMID: 37761362 PMCID: PMC10527627 DOI: 10.3390/diagnostics13182995] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/16/2023] [Accepted: 08/26/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Chest X-ray (CXR) remains the standard imaging modality in postoperative care after non-cardiac thoracic surgery. Lung ultrasound (LUS) showed promising results in CXR reduction. The aim of this review was to identify areas where the evaluation of LUS videos by artificial intelligence could improve the implementation of LUS in thoracic surgery. METHODS A literature review of the replacement of the CXR by LUS after thoracic surgery and the evaluation of LUS videos by artificial intelligence after thoracic surgery was conducted in Medline. RESULTS Here, eight out of 10 reviewed studies evaluating LUS in CXR reduction showed that LUS can reduce CXR without a negative impact on patient outcome after thoracic surgery. No studies on the evaluation of LUS signs by artificial intelligence after thoracic surgery were found. CONCLUSION LUS can reduce CXR after thoracic surgery. We presume that artificial intelligence could help increase the LUS accuracy, objectify the LUS findings, shorten the learning curve, and decrease the number of inconclusive results. To confirm this assumption, clinical trials are necessary. This research is funded by the Slovak Research and Development Agency, grant number APVV 20-0232.
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Affiliation(s)
- Marek Malík
- Department of Thoracic Surgery, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 4248/2, 036 59 Martin, Slovakia
| | - Anton Dzian
- Department of Thoracic Surgery, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 4248/2, 036 59 Martin, Slovakia
| | - Martin Števík
- Radiology Department, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 4248/2, 036 59 Martin, Slovakia
| | - Štefánia Vetešková
- Radiology Department, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 4248/2, 036 59 Martin, Slovakia
| | - Abdulla Al Hakim
- Department of Thoracic Surgery, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 4248/2, 036 59 Martin, Slovakia
| | - Maroš Hliboký
- Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 040 01 Košice, Slovakia
| | - Ján Magyar
- Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 040 01 Košice, Slovakia
| | - Michal Kolárik
- Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 040 01 Košice, Slovakia
| | - Marek Bundzel
- Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 040 01 Košice, Slovakia
| | - František Babič
- Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 040 01 Košice, Slovakia
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3
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Buonsenso D, Morello R, Mariani F, De Rose C, Cortese R, Vetrugno L, Valentini P. Role of Lung Ultrasound in the Follow-Up of Children with Previous SARS-CoV-2 Infection: A Case-Control Assessment of Children with Long COVID or Fully Recovered. J Clin Med 2023; 12:jcm12093342. [PMID: 37176782 PMCID: PMC10179159 DOI: 10.3390/jcm12093342] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 04/28/2023] [Accepted: 05/04/2023] [Indexed: 05/15/2023] Open
Abstract
Lung ultrasound (LUS) can detect lower respiratory tract involvement in children with acute SARS-CoV-2 infection. However, its role in follow-up assessments is still unclear. To describe LUS findings in children after SARS-CoV-2 infection, we conducted a prospective study in a population of pediatric patients referred to the post-COVID unit in a tertiary center during the study period from February 2021 to May 2022. Children were classified as recovered from acute infection or with persisting symptoms. LUS was performed in all children and a LUS score (ranging from 0 to 36 points) was calculated according to the Italian Academy of Thoracic Ultrasound. Six hundred forty-seven children (304 females, 47%) were enrolled. The median follow-up evaluation was two months. The median age was 7.9 (IQR: 6) years. At the follow-up evaluation, 251 patients (38.8%) had persistent symptoms, of whom 104 (16.1%) had at least one respiratory symptom. The median LUS level was 2 (IQR: 4). LUS findings and LUS scores did not differ in children with Long COVID compared to the group of children fully recovered from the initial infection. In conclusion, after SARS-CoV-2 infection, LUS was mostly normal or showed minimal artifacts in all groups of children.
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Affiliation(s)
- Danilo Buonsenso
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
- Global Health Center, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Rosa Morello
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Francesco Mariani
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Cristina De Rose
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Rossella Cortese
- School of Medicine, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Luigi Vetrugno
- Department of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, 66100 Chieti, Italy
| | - Piero Valentini
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
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4
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Bruno A, Ignesti G, Salvetti O, Moroni D, Martinelli M. Efficient Lung Ultrasound Classification. Bioengineering (Basel) 2023; 10:bioengineering10050555. [PMID: 37237625 DOI: 10.3390/bioengineering10050555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 04/28/2023] [Accepted: 05/02/2023] [Indexed: 05/28/2023] Open
Abstract
A machine learning method for classifying lung ultrasound is proposed here to provide a point of care tool for supporting a safe, fast, and accurate diagnosis that can also be useful during a pandemic such as SARS-CoV-2. Given the advantages (e.g., safety, speed, portability, cost-effectiveness) provided by the ultrasound technology over other examinations (e.g., X-ray, computer tomography, magnetic resonance imaging), our method was validated on the largest public lung ultrasound dataset. Focusing on both accuracy and efficiency, our solution is based on an efficient adaptive ensembling of two EfficientNet-b0 models reaching 100% of accuracy, which, to our knowledge, outperforms the previous state-of-the-art models by at least 5%. The complexity is restrained by adopting specific design choices: ensembling with an adaptive combination layer, ensembling performed on the deep features, and minimal ensemble using two weak models only. In this way, the number of parameters has the same order of magnitude of a single EfficientNet-b0 and the computational cost (FLOPs) is reduced at least by 20%, doubled by parallelization. Moreover, a visual analysis of the saliency maps on sample images of all the classes of the dataset reveals where an inaccurate weak model focuses its attention versus an accurate one.
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Affiliation(s)
- Antonio Bruno
- Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy
| | - Giacomo Ignesti
- Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy
| | - Ovidio Salvetti
- Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy
| | - Davide Moroni
- Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy
| | - Massimo Martinelli
- Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy
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5
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Barbieri G, Gargani L, Lepri V, Spinelli S, Romei C, De Liperi A, Chimera D, Pistelli F, Carrozzi L, Corradi F, Ghiadoni L. Long-term lung ultrasound follow-up in patients after COVID-19 pneumonia hospitalization: A prospective comparative study with chest computed tomography. Eur J Intern Med 2023; 110:29-34. [PMID: 36564240 PMCID: PMC9729593 DOI: 10.1016/j.ejim.2022.12.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 12/03/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022]
Abstract
During COVID-19 pandemic, lung ultrasound (LUS) proved to be of great value in the diagnosis and monitoring of patients with pneumonia. However, limited data exist regarding its use to assess aeration changes during follow-up (FU). Our study aims to prospectively evaluate 232 subjects who underwent a 3-month-FU program after hospitalization for COVID-19 at the University Hospital of Pisa. The goals were to assess the usefulness of standardized LUS compared with the gold standard chest computed tomography (CT) to evaluate aeration changes and to verify LUS and CT agreement at FU. Patients underwent in the same day a standardized 16-areas LUS and high-resolution chest CT reported by expert radiologists, assigning interpretative codes. Based on observations distribution, LUS score cut-offs of 3 and 7 were selected, corresponding to the 50th and 75th percentile, respectively. Patients with LUS scores above both these thresholds were older and with longer hospital stay. Patients with a LUS score ≥3 had more comorbidities. LUS and chest CT showed a high agreement in identifying residual pathological findings, using both cut-off scores of 3 (OR 14,7; CL 3,6-64,5, Sensitivity 91%, Specificity 49%) and 7 (OR 5,8; CL 2,3-14,3, Sensitivity 65%, Specificity 79%). Our data suggest that LUS is very sensitive in identifying pathological findings at FU after a hospitalization for COVID-19 pneumonia, compared to CT. Given its low cost and safety, LUS could replace CT in selected cases, such as in contexts with limited resources or it could be used as a gate-keeper examination before more advanced techniques.
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Affiliation(s)
- Greta Barbieri
- Emergency Medicine Department, Pisa University Hospital, Italy; Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Italy.
| | - Luna Gargani
- Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Italy
| | - Vittoria Lepri
- Emergency Medicine Department, Pisa University Hospital, Italy
| | | | - Chiara Romei
- 2nd Radiology Unit, Department of Radiology, Pisa University Hospital, Italy
| | - Annalisa De Liperi
- 2nd Radiology Unit, Department of Radiology, Pisa University Hospital, Italy
| | - Davide Chimera
- Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Italy; Pulmonary Unit, Cardiothoracic and Vascular Department, Pisa University Hospital, Italy
| | - Francesco Pistelli
- Pulmonary Unit, Cardiothoracic and Vascular Department, Pisa University Hospital, Italy
| | - Laura Carrozzi
- Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Italy; Pulmonary Unit, Cardiothoracic and Vascular Department, Pisa University Hospital, Italy
| | - Francesco Corradi
- Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Italy
| | - Lorenzo Ghiadoni
- Emergency Medicine Department, Pisa University Hospital, Italy; Department of Clinical and Experimental Medicine, University of Pisa, Italy
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Blazic I, Cogliati C, Flor N, Frija G, Kawooya M, Umbrello M, Ali S, Baranne ML, Cho YJ, Pitcher R, Vollmer I, van Deventer E, del Rosario Perez M. The use of lung ultrasound in COVID-19. ERJ Open Res 2023; 9:00196-2022. [PMID: 36628270 PMCID: PMC9548241 DOI: 10.1183/23120541.00196-2022] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 09/22/2022] [Indexed: 01/13/2023] Open
Abstract
This review article addresses the role of lung ultrasound in patients with coronavirus disease 2019 (COVID-19) for diagnosis and disease management. As a simple imaging procedure, lung ultrasound contributes to the early identification of patients with clinical conditions suggestive of COVID-19, supports decisions about hospital admission and informs therapeutic strategy. It can be performed in various clinical settings (primary care facilities, emergency departments, hospital wards, intensive care units), but also in outpatient settings using portable devices. The article describes typical lung ultrasound findings for COVID-19 pneumonia (interstitial pattern, pleural abnormalities and consolidations), as one component of COVID-19 diagnostic workup that otherwise includes clinical and laboratory evaluation. Advantages and limitations of lung ultrasound use in COVID-19 are described, along with equipment requirements and training needs. To infer on the use of lung ultrasound in different regions, a literature search was performed using key words "COVID-19", "lung ultrasound" and "imaging". Lung ultrasound is a noninvasive, rapid and reproducible procedure; can be performed at the point of care; requires simple sterilisation; and involves non-ionising radiation, allowing repeated exams on the same patient, with special benefit in children and pregnant women. However, physical proximity between the patient and the ultrasound operator is a limitation in the current pandemic context, emphasising the need to implement specific infection prevention and control measures. Availability of qualified staff adequately trained to perform lung ultrasound remains a major barrier to lung ultrasound utilisation. Training, advocacy and awareness rising can help build up capacities of local providers to facilitate lung ultrasound use for COVID-19 management, in particular in low- and middle-income countries.
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Affiliation(s)
- Ivana Blazic
- Radiology Department, Clinical Hospital Center Zemun, Belgrade, Serbia
| | - Chiara Cogliati
- Internal Medicine, L. Sacco Hospital, ASST Fatebenefratelli-Sacco, Milan, Italy,Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Nicola Flor
- Unità Operativa di Radiologia, Luigi Sacco University Hospital, Milan, Italy
| | - Guy Frija
- Université de Paris, International Society of Radiology, Paris, France
| | - Michael Kawooya
- Ernest Cook Ultrasound Research and Education Institute (ECUREI), Kampala, Uganda
| | - Michele Umbrello
- SC Anestesia e Rianimazione II, Ospedale San Carlo Borromeo, ASST Santi Paolo e Carlo – Polo Universitario, Milan, Italy
| | - Sam Ali
- ECUREI, Mengo Hospital, Kampala, Uganda
| | - Marie-Laure Baranne
- Assistance Publique – Hôpitaux de Paris, Paris Institute for Clinical Ultrasound, Paris, France
| | - Young-Jae Cho
- South Korea/Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea
| | - Richard Pitcher
- Division of Radiodiagnosis, Department of Medical Imaging and Clinical Oncology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
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Buonsenso D, Vetrugno L. Lung Ultrasound in Adults and Children with COVID-19: From First Discoveries to Recent Advances. J Clin Med 2022; 11:4340. [PMID: 35893430 PMCID: PMC9331199 DOI: 10.3390/jcm11154340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 07/24/2022] [Indexed: 02/04/2023] Open
Abstract
During this pandemic, the lung ultrasound (LUS) imaging modality has shown promising results as a diagnostic, prognostic and monitoring tool for COVID-19 patients [...].
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Affiliation(s)
- Danilo Buonsenso
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00120 Rome, Italy
- Centro di Salute Globale, Università Cattolica del Sacro Cuore, 00120 Rome, Italy
| | - Luigi Vetrugno
- Department of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, 66100 Chieti, Italy
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8
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Vetrugno L, De Marchi L, Bouhemad B. Editorial: Lung Ultrasound and COVID-19 Interstitial Pneumonia in Different Medical Care Settings. Front Med (Lausanne) 2022; 9:951706. [PMID: 35814757 PMCID: PMC9260420 DOI: 10.3389/fmed.2022.951706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 06/10/2022] [Indexed: 12/03/2022] Open
Affiliation(s)
- Luigi Vetrugno
- Department of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, Chieti, Italy
- Department of Anesthesiology, Critical Care Medicine and Emergency, SS. Annunziata Hospital, Chieti, Italy
- *Correspondence: Luigi Vetrugno ; orcid.org/0000-0003-3745-8368
| | - Lorenzo De Marchi
- Department of Anesthesiology, MedStar-Georgetown University Hospital, Washington, DC, United States
| | - Belaid Bouhemad
- Department of Anesthesiology and Intensive Care, C.H.U. Dijon, Dijon, France
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Dell'Aquila P, Raimondo P, Racanelli V, De Luca P, De Matteis S, Pistone A, Melodia R, Crudele L, Lomazzo D, Solimando AG, Moschetta A, Vacca A, Grasso S, Procacci V, Orso D, Vetrugno L. Integrated lung ultrasound score for early clinical decision-making in patients with COVID-19: results and implications. Ultrasound J 2022; 14:21. [PMID: 35648278 PMCID: PMC9156837 DOI: 10.1186/s13089-022-00264-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 03/29/2022] [Indexed: 12/15/2022] Open
Abstract
Background and objectives Lung Ultrasound Score (LUS) identifies and monitors pneumonia by assigning increasing scores. However, it does not include parameters, such as inferior vena cava (IVC) diameter and index of collapse, diaphragmatic excursions and search for pleural and pericardial effusions. Therefore, we propose a new improved scoring system, termed “integrated” lung ultrasound score (i-LUS) which incorporates previously mentioned parameters that can help in prediction of disease severity and survival, choice of oxygenation mode/ventilation and assignment to subsequent areas of care in patients with COVID-19 pneumonia. Methods Upon admission at the sub-intensive section of the emergency medical department (SEMD), 143 consecutively examined COVID-19 patients underwent i-LUS together with all other routine analysis. A database for anamnestic information, laboratory data, gas analysis and i-LUS parameters was created and analyzed. Results Of 143 enrolled patients, 59.4% were male (mean age 71 years) and 40.6% female. (mean age 79 years: p = 0.005). Patients that survived at 1 month had i-LUS score of 16, which was lower than that of non-survivors (median 20; p = 0.005). Survivors had a higher PaO2/FiO2 (median 321.5) compared to non-survivors (median 229, p < 0.001). There was a correlation between i-LUS and PaO2/FiO2 ratio (rho:-0.4452; p < 0.001), PaO2/FiO2 and survival status (rho:-0.3452; p < 0.001), as well as i-LUS score and disease outcome (rho:0.24; p = 0.005). In non-survivors, the serum values of different significant COVID indicators were severely expressed. The i-LUS score was higher (median 20) in patients who required non-invasive ventilation (NIV) than in those treated only by oxygen therapy (median 15.42; p = 0.003). The odds ratio for death outcome was 1.08 (confidence interval 1.02–1.15) for each point increased. At 1-month follow-up, 65 patients (45.5%) died and 78 (54.5%) survived. Patients admitted to the high critical ward had higher i-LUS score than those admitted to the low critical one (p < 0.003). Conclusions i-LUS could be used as a helpful clinical tool for early decision-making in patients with COVID-19 pneumonia. Supplementary Information The online version contains supplementary material available at 10.1186/s13089-022-00264-8.
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Affiliation(s)
- Paola Dell'Aquila
- Emergency Department, Teaching Hospital Policlinico di Bari, Bari, Italy
| | - Pasquale Raimondo
- Department of Emergency and Organ Transplant, University of Bari Aldo Moro, Bari, Italy
| | - Vito Racanelli
- Department of Biomedical Sciences and Human Oncology, Section of Internal Medicine "Guido Baccelli, University of Bari Medical School, Bari, Italy.
| | - Paola De Luca
- Emergency Department, Teaching Hospital Policlinico di Bari, Bari, Italy
| | - Sandra De Matteis
- Emergency Department, Teaching Hospital Policlinico di Bari, Bari, Italy
| | - Antonella Pistone
- Emergency Department, Teaching Hospital Policlinico di Bari, Bari, Italy
| | - Rosa Melodia
- Emergency Department, Teaching Hospital Policlinico di Bari, Bari, Italy
| | - Lucilla Crudele
- Emergency Department, Teaching Hospital Policlinico di Bari, Bari, Italy
| | - Daniela Lomazzo
- Emergency Department, Teaching Hospital Policlinico di Bari, Bari, Italy
| | - Antonio Giovanni Solimando
- Department of Biomedical Sciences and Human Oncology, Section of Internal Medicine "Guido Baccelli, University of Bari Medical School, Bari, Italy
| | - Antonio Moschetta
- Department of Interdisciplinary Medicine, University of Bari "Aldo Moro", Bari, Italy
| | - Angelo Vacca
- Department of Biomedical Sciences and Human Oncology, Section of Internal Medicine "Guido Baccelli, University of Bari Medical School, Bari, Italy
| | - Salvatore Grasso
- Department of Emergency and Organ Transplant, University of Bari Aldo Moro, Bari, Italy
| | - Vito Procacci
- Emergency Department, Teaching Hospital Policlinico di Bari, Bari, Italy
| | - Daniele Orso
- Department of Anesthesia and Intensive Care Medicine, ASUFC Hospital of Udine, Udine, Italy
| | - Luigi Vetrugno
- Department of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, Chieti, Italy
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10
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Vetrugno L, Meroi F, Orso D, D’Andrea N, Marin M, Cammarota G, Mattuzzi L, Delrio S, Furlan D, Foschiani J, Valent F, Bove T. Can Lung Ultrasound Be the Ideal Monitoring Tool to Predict the Clinical Outcome of Mechanically Ventilated COVID-19 Patients? An Observational Study. Healthcare (Basel) 2022; 10:healthcare10030568. [PMID: 35327046 PMCID: PMC8955357 DOI: 10.3390/healthcare10030568] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 03/15/2022] [Accepted: 03/16/2022] [Indexed: 01/27/2023] Open
Abstract
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; p-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, p-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.
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Affiliation(s)
- Luigi Vetrugno
- Dipartimento di Scienze, Orali e Biotecnologiche, Università degli Studi “G. d’Annunzio”, 66100 Chieti, Italy;
| | - Francesco Meroi
- Anesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, Italy; (D.O.); (N.D.); (M.M.); (L.M.); (S.D.); (D.F.); (J.F.); (T.B.)
- Correspondence:
| | - Daniele Orso
- Anesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, Italy; (D.O.); (N.D.); (M.M.); (L.M.); (S.D.); (D.F.); (J.F.); (T.B.)
| | - Natascia D’Andrea
- Anesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, Italy; (D.O.); (N.D.); (M.M.); (L.M.); (S.D.); (D.F.); (J.F.); (T.B.)
| | - Matteo Marin
- Anesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, Italy; (D.O.); (N.D.); (M.M.); (L.M.); (S.D.); (D.F.); (J.F.); (T.B.)
| | - Gianmaria Cammarota
- Division of Anesthesia, Analgesia and Intensive Care, Department of Medicine and Surgery, University of Perugia, 06123 Perugia, Italy;
| | - Lisa Mattuzzi
- Anesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, Italy; (D.O.); (N.D.); (M.M.); (L.M.); (S.D.); (D.F.); (J.F.); (T.B.)
| | - Silvia Delrio
- Anesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, Italy; (D.O.); (N.D.); (M.M.); (L.M.); (S.D.); (D.F.); (J.F.); (T.B.)
| | - Davide Furlan
- Anesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, Italy; (D.O.); (N.D.); (M.M.); (L.M.); (S.D.); (D.F.); (J.F.); (T.B.)
| | - Jonathan Foschiani
- Anesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, Italy; (D.O.); (N.D.); (M.M.); (L.M.); (S.D.); (D.F.); (J.F.); (T.B.)
| | - Francesca Valent
- Clinical and Evaluational Epidemiologic Service, Department of Governance, Local Health Authority, 38123 Trento, Italy;
| | - Tiziana Bove
- Anesthesia and Intensive Care Clinic, Department of Medicine, University of Udine, 33100 Udine, Italy; (D.O.); (N.D.); (M.M.); (L.M.); (S.D.); (D.F.); (J.F.); (T.B.)
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11
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Vetrugno L, Sala A, Orso D, Meroi F, Fabbro S, Boero E, Valent F, Cammarota G, Restaino S, Vizzielli G, Girometti R, Merelli M, Tascini C, Bove T, Driul L. Lung Ultrasound Signs and Their Correlation With Clinical Symptoms in COVID-19 Pregnant Women: The "PINK-CO" Observational Study. Front Med (Lausanne) 2022; 8:768261. [PMID: 35127744 PMCID: PMC8814327 DOI: 10.3389/fmed.2021.768261] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 12/10/2021] [Indexed: 12/21/2022] Open
Abstract
Objective To analyze the application of lung ultrasound (LUS) diagnostic approach in obstetric patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and compare LUS score and symptoms of the patients. Design A single-center observational retrospective study from October 31, 2020 to March 31, 2021. Setting Department of Ob/Gyn at the University-Hospital of Udine, Italy. Participants Pregnant women with SARS-CoV-2 diagnosed with reverse transcription-PCR (RT-PCR) swab test were subdivided as symptomatic and asymptomatic patients with COVID-19. Exposure Lung ultrasound evaluation both through initial evaluation upon admission and through serial evaluations. Main Outcome Reporting LUS findings and LUS score characteristics. Results Symptomatic patients with COVID-19 showed a higher LUS (median 3.5 vs. 0, p < 0.001). LUS was significantly correlated with COVID-19 biomarkers as C-reactive protein (CPR; p = 0.011), interleukin-6 (p = 0.013), and pro-adrenomedullin (p = 0.02), and inversely related to arterial oxygen saturation (p = 0.004). The most frequent ultrasound findings were focal B lines (14 vs. 2) and the light beam (9 vs. 0). Conclusion Lung ultrasound can help to manage pregnant women with SARS-CoV-2 infection during a pandemic surge. Study Registration ClinicalTrials.gov, NCT04823234. Registered on March 29, 2021.
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Affiliation(s)
- Luigi Vetrugno
- Department of Medicine, University of Udine, Udine, Italy.,Department of Anesthesia and Intensive Care Medicine, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | - Alessia Sala
- Department of Medicine, University of Udine, Udine, Italy.,Department of Gynecology and Obstetrics, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | - Daniele Orso
- Department of Medicine, University of Udine, Udine, Italy.,Department of Anesthesia and Intensive Care Medicine, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | - Francesco Meroi
- Department of Medicine, University of Udine, Udine, Italy.,Department of Anesthesia and Intensive Care Medicine, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | | | - Enrico Boero
- Anesthesia and Intensive Care Unit, San Giovanni Bosco Hospital, Turin, Italy
| | - Francesca Valent
- Department of Epidemiology and Public Health, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | - Gianmaria Cammarota
- Department of Anesthesia and Intensive Care Medicine, University of Perugia, Perugia, Italy
| | - Stefano Restaino
- Department of Gynecology and Obstetrics, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | - Giuseppe Vizzielli
- Department of Gynecology and Obstetrics, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | - Rossano Girometti
- Department of Medicine, University of Udine, Udine, Italy.,Department of Radiology, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | - Maria Merelli
- Department of Infectious Diseases, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | - Carlo Tascini
- Department of Medicine, University of Udine, Udine, Italy.,Department of Infectious Diseases, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | - Tiziana Bove
- Department of Medicine, University of Udine, Udine, Italy.,Department of Anesthesia and Intensive Care Medicine, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
| | - Lorenza Driul
- Department of Medicine, University of Udine, Udine, Italy.,Department of Gynecology and Obstetrics, ASUFC University-Hospital of Friuli Centrale, Udine, Italy
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12
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Vetrugno L, Mojoli F, Cortegiani A, Bignami EG, Ippolito M, Orso D, Corradi F, Cammarota G, Mongodi S, Boero E, Iacovazzo C, Vargas M, Poole D, Biasucci DG, Persona P, Bove T, Ball L, Chiumello D, Forfori F, de Robertis E, Pelosi P, Navalesi P, Giarratano A, Petrini F. Italian Society of Anesthesia, Analgesia, Resuscitation, and Intensive Care expert consensus statement on the use of lung ultrasound in critically ill patients with coronavirus disease 2019 (ITACO). JOURNAL OF ANESTHESIA, ANALGESIA AND CRITICAL CARE 2021. [PMCID: PMC8611396 DOI: 10.1186/s44158-021-00015-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background To produce statements based on the available evidence and an expert consensus (as members of the Lung Ultrasound Working Group of the Italian Society of Analgesia, Anesthesia, Resuscitation, and Intensive Care, SIAARTI) on the use of lung ultrasound for the management of patients with COVID-19 admitted to the intensive care unit. Methods A modified Delphi method was applied by a panel of anesthesiologists and intensive care physicians expert in the use of lung ultrasound in COVID-19 intensive critically ill patients to reach a consensus on ten clinical questions concerning the role of lung ultrasound in the following: COVID-19 diagnosis and monitoring (with and without invasive mechanical ventilation), positive end expiratory pressure titration, the use of prone position, the early diagnosis of pneumothorax- or ventilator-associated pneumonia, the process of weaning from invasive mechanical ventilation, and the need for radiologic chest imaging. Results A total of 20 statements were produced by the panel. Agreement was reached on 18 out of 20 statements (scoring 7–9; “appropriate”) in the first round of voting, while 2 statements required a second round for agreement to be reached. At the end of the two Delphi rounds, the median score for the 20 statements was 8.5 [IQR 8.9], and the agreement percentage was 100%. Conclusion The Lung Ultrasound Working Group of the Italian Society of Analgesia, Anesthesia, Resuscitation, and Intensive Care produced 20 consensus statements on the use of lung ultrasound in COVID-19 patients admitted to the ICU. This expert consensus strongly suggests integrating lung ultrasound findings in the clinical management of critically ill COVID-19 patients. Supplementary Information The online version contains supplementary material available at 10.1186/s44158-021-00015-6.
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13
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Okoye C, Calsolaro V, Fabbri A, Franchi R, Antognoli R, Zisca L, Bianchi C, Calabrese AM, Rogani S, Monzani F. Usefulness of lung ultrasound for selecting asymptomatic older patients with COVID 19 pneumonia. Sci Rep 2021; 11:22892. [PMID: 34819555 PMCID: PMC8613196 DOI: 10.1038/s41598-021-02275-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 11/08/2021] [Indexed: 11/15/2022] Open
Abstract
Clinical and prognostic differences between symptomatic and asymptomatic older patients with COVID-19 are of great interest since frail patients often show atypical presentation of illness. Lung Ultrasound (LUS) has been proven to be a reliable tool for detecting early-phase COVID-19 pneumonic alterations. The current prospective bicentric study aimed to compare LUS score and 3-month overall mortality between asymptomatic and symptomatic older patients with COVID-19, according to frailty status. Patients were stratified according to LUS score tertiles and Clinical Frailty Scale categories. Survival rate was assessed by telephone interviews 3 months after discharge. 64 symptomatic (24 women, aged 80.0 ± 10.8 years) and 46 asymptomatic (31 women, aged 84.3 ± 8.8 years) were consecutively enrolled. LUS score resulted an independent predictor of 3-month mortality [OR 2.27 (CI95% 1.09-4.8), p = 0.03], and the highest mortality rate was observed in symptomatic and asymptomatic pre-frail and frail patients (70.6% and 66.7%, respectively) with greater LUS abnormalities (3rd tertile). In conclusion, LUS identified an acute interstitial lung involvement in most of the older asymptomatic patients. Mortality rate progressively increased according to clinical frailty and LUS score degree, resulting a reliable prognostic tool in both symptomatic and asymptomatic patients.
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Affiliation(s)
- Chukwuma Okoye
- Geriatrics Unit, Department of Clinical & Experimental Medicine, University Hospital of Pisa, Via Paradisa, 2, 56124, Pisa, Italy
- Low Care Unit, Presidio Sanitario "Anna Torrigiani", Firenze, Italy
| | - Valeria Calsolaro
- Geriatrics Unit, Department of Clinical & Experimental Medicine, University Hospital of Pisa, Via Paradisa, 2, 56124, Pisa, Italy
| | - Alessandra Fabbri
- Geriatrics Unit, Department of Clinical & Experimental Medicine, University Hospital of Pisa, Via Paradisa, 2, 56124, Pisa, Italy
| | - Riccardo Franchi
- Geriatrics Unit, Department of Clinical & Experimental Medicine, University Hospital of Pisa, Via Paradisa, 2, 56124, Pisa, Italy
| | - Rachele Antognoli
- Geriatrics Unit, Department of Clinical & Experimental Medicine, University Hospital of Pisa, Via Paradisa, 2, 56124, Pisa, Italy
| | - Ludovica Zisca
- Low Care Unit, Presidio Sanitario "Anna Torrigiani", Firenze, Italy
| | - Camilla Bianchi
- Low Care Unit, Presidio Sanitario "Anna Torrigiani", Firenze, Italy
| | - Alessia Maria Calabrese
- Geriatrics Unit, Department of Clinical & Experimental Medicine, University Hospital of Pisa, Via Paradisa, 2, 56124, Pisa, Italy
| | - Sara Rogani
- Geriatrics Unit, Department of Clinical & Experimental Medicine, University Hospital of Pisa, Via Paradisa, 2, 56124, Pisa, Italy
| | - Fabio Monzani
- Geriatrics Unit, Department of Clinical & Experimental Medicine, University Hospital of Pisa, Via Paradisa, 2, 56124, Pisa, Italy.
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14
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Lung Ultrasound Examination in Patients with SARS-CoV-2 Infection: Multicenter Study. J Clin Med 2021; 10:jcm10153255. [PMID: 34362039 PMCID: PMC8347909 DOI: 10.3390/jcm10153255] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/21/2021] [Accepted: 07/21/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic has, by necessity, contributed to rapid advancements in medicine. Owing to the necessity of following strict anti-epidemic sanitary measures when taking care of infected patients, the accessibility of standard diagnostic methods may be limited. Consequently, the significance and potential of bedside diagnostic modalities increase, including lung ultrasound (LUS). METHOD Multicenter registry study involving adult patients with confirmed COVID-19, for whom LUS was performed. RESULTS A total of 228 patients (61% males) qualified for the study. The average age was 60 years (±14), 40% were older than 65 years of age. In 130 from 173 hospitalized patients, HRCT (high-resolution computed tomography) was performed. In 80% of patients, LUS findings indicated interstitial pneumonia. In hospitalized patients multifocally located single B-lines, symmetrical B-lines, and areas of white lung were significantly more frequent as compared to ambulatory patients. LUS findings, both those indicating interstitial syndrome and consolidations, were positively correlated with HRCT images. As compared to HRCT, the sensitivity and specificity of LUS in detecting interstitial pneumonia were 97% and 100%, respectively. CONCLUSIONS As compared to HRCT, LUS is characterized by a very high sensitivity and specificity in detecting interstitial pneumonia in COVID-19 patients. Potentially, LUS can be a particularly useful diagnostic modality for COVID-19 patients pneumonia.
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