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Supino MC, Buonsenso D, Agostiniani R, Gori L, Tipo V, Morello R, Del Monaco G, Falsaperla R, Biagi C, Cazzato S, Villani A, Musolino AM. The lung ultrasound in children with SARS-COV-2 infection: a national multicenter prospective study. Eur J Pediatr 2024; 183:3397-3405. [PMID: 38767693 DOI: 10.1007/s00431-024-05609-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 05/07/2024] [Accepted: 05/11/2024] [Indexed: 05/22/2024]
Abstract
Coronavirus disease-19 (COVID-19) caused hospitalizations, severe disease, and deaths in any age, including in the youngest children. The aim of this multicenter national study is to characterize the clinical and the prognostic role of lung ultrasound (LU) in children with COVID-19. We enrolled children between 1 month and 18 years of age with severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infection who underwent a LU within 6 h from the first medical evaluation. A total of 213 children were enrolled, 51.6% were male, median age was 2 years and 5 months (interquartile range (IQR) 4 months -11 years and 4 months). One hundred and forty-eight (69.4%) children were admitted in hospital, 9 (6.1%) in pediatric intensive care unit. We found an inverse correlation between the lung ultrasound score (LUS) and the oxygen saturation at the first clinical evaluation (r = -0.16; p = 0.019). Moreover, LUS was significantly higher in patients requiring oxygen supplementation (8 (IQR 3-19) vs 2 (IQR 0-4); p = 0.001). Among LU pathological findings, irregular pleural lines, subpleural consolidations, and pleural effusions were significantly more frequent in patients needing oxygen supplementation (p = 0.007, p = 0.006, and p = 0.001, respectively). Conclusion: This multicenter study showed that LU in children with COVID-19 can highlight pleural line irregularities, vertical artifacts, and subpleural consolidation. Notably, children with higher LUS have a higher risk of hospitalization and need for oxygen supplementation, supporting LU as a valid and safe point-of-care first level tool for the clinical evaluation of children with COVID-19. What is Known: • Few children infected with SARS-CoV-2 develop a severe disease and need oxygen therapy. • Lung ultrasound can easily detect low respiratory tract infection during SARS-CoV-2. What is New: • Children with higher lung ultrasound score have a higher risk of need for oxygen supplementation. • Irregular pleural line, sub-pleural consolidations and pleural effusions were significantly more frequent in patients needing oxygen supplementation.
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Affiliation(s)
- Maria Chiara Supino
- Pediatric Emergency Unit, Pediatric Emergency Department and General Pediatrics, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
| | - Danilo Buonsenso
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Centro di Salute Globale, Università Cattolica del Sacro Cuore, Rome, Italy
| | | | - Laura Gori
- Department of Maternal and Child Health, Division of Pediatric Unit, S. Chiara Hospital, Pisa, Italy
| | - Vincenzo Tipo
- Pediatric Emergency and Short Stay Unit, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Rosa Morello
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | - Raffaele Falsaperla
- Neonatal Intensive Care Unit [NICU], AOU "Rodolico-San Marco", PO "San Marco", University of Catania, Catania, Italy
| | - Carlotta Biagi
- Pediatric Emergency Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Salvatore Cazzato
- Pediatric Unit, Department of Mother and Child Health, Salesi Children's Hospital, Ancona, Italy
| | - Alberto Villani
- Pediatric Emergency Unit, Pediatric Emergency Department and General Pediatrics, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Anna Maria Musolino
- Pediatric Emergency Unit, Pediatric Emergency Department and General Pediatrics, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
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Rinaldi L, Lugarà M, Simeon V, Perrotta F, Romano C, Iadevaia C, Sagnelli C, Monaco L, Altruda C, Fascione MC, Restivo L, Scognamiglio U, Laganà N, Nevola R, Oliva G, Coppola MG, Acierno C, Masini F, Pinotti E, Allegorico E, Tamburrini S, Vitiello G, Niosi M, Burzo ML, Franci G, Perrella A, Signoriello G, Frusci V, Mancarella S, Loche G, Pellicano GF, Berretta M, Calabria G, Pietropaolo L, Numis FG, Coppola N, Corcione A, Marfella R, Adinolfi LE, Bianco A, Sasso FC, de Sio I. Application and internal validation of lung ultrasound score in COVID-19 setting: The ECOVITA observational study. Pulmonology 2024:S2531-0437(24)00056-4. [PMID: 38806368 DOI: 10.1016/j.pulmoe.2024.04.012] [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: 06/06/2023] [Revised: 03/16/2024] [Accepted: 04/27/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND The severe acute respiratory syndrome Coronarovirus-2 associated still causes a significant number of deaths and hospitalizations mainly by the development of respiratory failure. We aim to validate lung ultrasound score in order to predict mortality and the severity of the clinical course related to the need of respiratory support. METHODS In this prospective multicenter hospital-based cohort study, all adult patients with diagnosis of SARS-CoV-2 infection, performed by real-time reverse transcription polymerase chain reaction were included. Upon admission, all patients underwent blood gas analysis and lung ultrasound by expert operators. The acquisition of ultrasound scan was performed on 12 peculiar anatomic landmarks of the chest. Lung ultrasound findings were classified according to a scoring method, ranging 0 to 3: Score 0: normal A-lines. Score 1: multiple separated B-lines. Score 2: coalescent B-lines, alteration of pleural line. Score 3: consolidation area. RESULTS One thousand and seven patients were included in statistical analysis (male 62.4 %, mean age 66.3). Oxygen support was needed in 811 (80.5 %) patients. The median ultrasound score was 24 and the risk of having more invasive respiratory support increased in relation to higher values score computed. Lung ultrasound score showed negative strong correlation (rho: -0.71) with the P/F ratio and a significant association with in-hospital mortality (OR 1.11, 95 %CI 1.07-1.14; p < 0.001), even after adjustment with the following variables (age, sex, P/F ratio, SpO2, lactate, hypertension, chronic renal failure, diabetes, and obesity). CONCLUSIONS The novelty of this research corroborates and validates the 12-field lung ultrasound score as tool for predicting mortality and severity clinical course in COVID-19 patients. Baseline lung ultrasound score was associated with in-hospital mortality and requirement of intensive respiratory support and predict the risk of IOT among COVID-19 patients.
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Affiliation(s)
- L Rinaldi
- Department of Medicine and Health Sciences "V. Tiberio", Università degli Studi del Molise, Campobasso, Italy; Department of Advanced Medical and Surgical Sciences, University of Campania L. Vanvitelli, Naples, Italy.
| | - M Lugarà
- Internal Medicine Unit, ASL Center Naples 1, P.O. Ospedale del Mare, Naples, Italy
| | - V Simeon
- Department of Mental and Physical Health and Preventive Medicine, University of Campania L. Vanvitelli, Naples, Italy
| | - F Perrotta
- Department of Translational Medical Sciences, University of Campania L. Vanvitelli, "Monaldi" Hospital, Naples, Italy
| | - C Romano
- Department of Advanced Medical and Surgical Sciences, University of Campania L. Vanvitelli, Naples, Italy
| | - C Iadevaia
- Department of Pneumology and Oncology, Monaldi Hospital, Azienda dei Colli, Naples, Italy
| | - C Sagnelli
- Department of Mental and Physical Health and Preventive Medicine, University of Campania L. Vanvitelli, Naples, Italy
| | - L Monaco
- Emergency Department, M.G. Vannini Hospital, "Istituto delle Figlie di San Camillo", Rome, Italy
| | - C Altruda
- Emergency Medicine Unit, S. M. delle Grazie Hospital, Pozzuoli, Italy
| | - M C Fascione
- Emergency Medicine Unit, Bassini Hospital, ASST North Milan, Italy
| | - L Restivo
- Department of Emergency Medicine, San Giovanni di Dio Hospital, Melfi, AOR Azienda Ospedaliera Regionale San Carlo, Potenza, Italy
| | - U Scognamiglio
- IX Division of Interventional Ultrasound Cotugno Hospital, Azienda dei Colli, Naples, Italy
| | - N Laganà
- Department of Clinical and Experimental Medicine, University of Messina, Italy
| | - R Nevola
- Department of Advanced Medical and Surgical Sciences, University of Campania L. Vanvitelli, Naples, Italy
| | - G Oliva
- Internal Medicine Unit, ASL Center Naples 1, P.O. Ospedale del Mare, Naples, Italy
| | - M G Coppola
- Internal Medicine Unit, ASL Center Naples 1, P.O. Ospedale del Mare, Naples, Italy
| | - C Acierno
- Department of Emergency Medicine, Azienda Ospedaliera Regionale San Carlo, Potenza, Italy
| | - F Masini
- Foundation "Policlinico Universitario Campus-Biomedico", Rome, Italy
| | - E Pinotti
- Internal Medicine Unit, San Giovanni Addolorata Hospital, Rome, Italy
| | - E Allegorico
- Emergency Medicine Unit, S. M. delle Grazie Hospital, Pozzuoli, Italy
| | - S Tamburrini
- Department of Radiology, ASL Center Naples 1, P.O. Ospedale del Mare, Naples, Italy
| | - G Vitiello
- Internal Medicine Unit, ASL Center Naples 1, P.O. Ospedale del Mare, Naples, Italy
| | - M Niosi
- Department of Precision Medicine, University of Campania L. Vanvitelli, Naples, Italy
| | - M L Burzo
- IRCSS Ospedale Pediatrico Bambin Gesù, Rome, Italy; 5Emergency Department, M.G. Vannini Hospital, "Istituto delle Figlie di San Camillo", Rome, Italy
| | - G Franci
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy
| | - A Perrella
- Department of Highly Contagious Emerging Diseases, Azienda dei Colli, Cotugno Hospital, Naples, Italy
| | - G Signoriello
- Department of Mental and Physical Health and Preventive Medicine, University of Campania L. Vanvitelli, Naples, Italy
| | - V Frusci
- Department of Emergency Medicine, San Giovanni di Dio Hospital, Melfi, AOR Azienda Ospedaliera Regionale San Carlo, Potenza, Italy
| | - S Mancarella
- Emergency Medicine Unit, Bassini Hospital, ASST North Milan, Italy
| | - G Loche
- Emergency Medicine Unit, Bassini Hospital, ASST North Milan, Italy
| | - G F Pellicano
- Unit of Infectious Disease, Department of Adult and Childhood Human pathology, "Gaetano Barresi", University of Messina, Italy
| | - M Berretta
- Unit of Infectious Disease, Department of Adult and Childhood Human pathology, "Gaetano Barresi", University of Messina, Italy
| | - G Calabria
- IX Division of Interventional Ultrasound Cotugno Hospital, Azienda dei Colli, Naples, Italy
| | - L Pietropaolo
- Emergency Department, M.G. Vannini Hospital, "Istituto delle Figlie di San Camillo", Rome, Italy
| | - F G Numis
- Emergency Medicine Unit, S. M. delle Grazie Hospital, Pozzuoli, Italy
| | - N Coppola
- Department of Mental and Physical Health and Preventive Medicine, University of Campania L. Vanvitelli, Naples, Italy
| | - A Corcione
- Department of Critical Area, Monaldi Hospital, Azienda dei Colli, Naples, Italy
| | - R Marfella
- Department of Advanced Medical and Surgical Sciences, University of Campania L. Vanvitelli, Naples, Italy
| | - L E Adinolfi
- Department of Advanced Medical and Surgical Sciences, University of Campania L. Vanvitelli, Naples, Italy
| | - A Bianco
- Department of Translational Medical Sciences, University of Campania L. Vanvitelli, "Monaldi" Hospital, Naples, Italy
| | - F C Sasso
- Department of Advanced Medical and Surgical Sciences, University of Campania L. Vanvitelli, Naples, Italy
| | - I de Sio
- Department of Precision Medicine, University of Campania L. Vanvitelli, Naples, Italy
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Horn R, Görg C, Prosch H, Safai Zadeh E, Jenssen C, Dietrich CF. Sonography of the pleura. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2024; 45:118-146. [PMID: 38237634 DOI: 10.1055/a-2189-5050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
The CME review presented here is intended to explain the significance of pleural sonography to the interested reader and to provide information on its application. At the beginning of sonography in the 80 s of the 20th centuries, with the possible resolution of the devices at that time, the pleura could only be perceived as a white line. Due to the high impedance differences, the pleura can be delineated particularly well. With the increasing high-resolution devices of more than 10 MHz, even a normal pleura with a thickness of 0.2 mm can be assessed. This article explains the special features of the examination technique with knowledge of the pre-test probability and describes the indications for pleural sonography. Pleural sonography has a high value in emergency and intensive care medicine, preclinical, outpatient and inpatient, in the general practitioner as well as in the specialist practice of pneumologists. The special features in childhood (pediatrics) as well as in geriatrics are presented. The recognition of a pneumothorax even in difficult situations as well as the assessment of pleural effusion are explained. With the high-resolution technology, both the pleura itself and small subpleural consolidations can be assessed and used diagnostically. Both the direct and indirect sonographic signs and accompanying symptoms are described, and the concrete clinical significance of sonography is presented. The significance and criteria of conventional brightness-encoded B-scan, colour Doppler sonography (CDS) with or without spectral analysis of the Doppler signal (SDS) and contrast medium ultrasound (CEUS) are outlined. Elastography and ultrasound-guided interventions are also mentioned. A related further paper deals with the diseases of the lung parenchyma and another paper with the diseases of the thoracic wall, diaphragm and mediastinum.
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Affiliation(s)
- Rudolf Horn
- Emergency Department, Center da Sandà Val Müstair, Switzerland
| | - Christian Görg
- Interdisciplinary Center of Ultrasound Diagnostics, Gastroenterology, Endocrinology, Metabolism and Clinical Infectiology, University Hospital Giessen and Marburg, Philipp University of Marburg, Baldingerstraße, Marburg
| | - Helmut Prosch
- Abteilung für Allgemeine Radiologie und Kinderradiologie, Medizinische Universität Wien, Austria
| | - Ehsan Safai Zadeh
- Abteilung für Allgemeine Radiologie und Kinderradiologie, Medizinische Universität Wien, Austria
| | - Christian Jenssen
- Klinik für Innere Medizin, Krankenhaus Märkisch-Oderland Strausberg/Wriezen and Brandenburg Institute for Clinical Ultrasound at Medical University Brandenburg, Neuruppin, Germany
| | - Christoph F Dietrich
- Department of General Internal Medicine, Kliniken Hirslanden Beau-Site, Salem und Permanence, Bern, Switzerland
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4
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González-Muñoz B, Oñoro-López C, Díez-Vidal A, Quesada-Simón MA, Tung-Chen Y. Usefulness of multi-organ point-of-care ultrasound as a complement to the diagnostic process in an Internal Medicine outpatient clinic: Point-of-care ultrasound in the internal medicine clinic. Eur J Intern Med 2024; 120:125-127. [PMID: 37925353 DOI: 10.1016/j.ejim.2023.10.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 10/13/2023] [Accepted: 10/23/2023] [Indexed: 11/06/2023]
Affiliation(s)
- Borja González-Muñoz
- Department of internal medicine, Hospital Universitario La Paz, Paseo Castellana 261, 28046, Madrid, Spain
| | - Carlos Oñoro-López
- Department of internal medicine, Hospital Universitario La Paz, Paseo Castellana 261, 28046, Madrid, Spain
| | - Alejandro Díez-Vidal
- Department of internal medicine, Hospital Universitario La Paz, Paseo Castellana 261, 28046, Madrid, Spain
| | - María-Angustias Quesada-Simón
- Department of internal medicine, Hospital Universitario La Paz, Paseo Castellana 261, 28046, Madrid, Spain; Department of Medicine, Universidad Autónoma de Madrid, 28029 Madrid, Spain
| | - Yale Tung-Chen
- Department of internal medicine, Hospital Universitario La Paz, Paseo Castellana 261, 28046, Madrid, Spain; Department of Medicine, Universidad Alfonso X El Sabio, 28691 Madrid, Spain.
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5
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Indolfi C, Klain A, Dinardo G, D’Addio E, Ferrara S, Decimo F, Ciprandi G, Tosca MA, Miraglia del Giudice M. COVID-19 Pediatric Follow-Up: Respiratory Long COVID-Associated Comorbidities and Lung Ultrasound Alterations in a Cohort of Italian Children. CHILDREN (BASEL, SWITZERLAND) 2024; 11:166. [PMID: 38397278 PMCID: PMC10887372 DOI: 10.3390/children11020166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 01/21/2024] [Accepted: 01/25/2024] [Indexed: 02/25/2024]
Abstract
In children, the factors that influence COVID-19 disease and its medium- and long-term effects are little known. Our investigation sought to evaluate the presence of comorbidity factors associated with respiratory long COVID manifestations in children and to study ultrasound abnormalities following SARS-CoV-2 infection. Children, who arrived at the 'Respiratory Diseases of Pediatric Interest Unit' at the Department of Woman, Child, and General and Specialized Surgery of the University of Campania 'Luigi Vanvitelli', were selected during the timeframe from September 2021 to October 2022. The children were diagnosed with a SARS-CoV-2 infection that occurred at least one month before the visit. All patients followed a COVID-19 follow-up protocol, developed by the Italian Society of Pediatric Respiratory Diseases (SIMRI), which included: collection of data regarding SARS-CoV-2 illness and history of known respiratory and allergic diseases; physical examination; BMI assessment; baseline spirometry and after bronchodilation test; six-minute walking test; and lung ultrasound (LUS). In a cohort of 104 participants with respiratory long COVID symptoms (64.7% male, average age 8.92 years), 46.1% had fever with other symptoms, and 1% required hospitalization. BMI analysis showed 58.4% of the cohort was overweight. The LUS was positive in 27.0% of cases. A significant BMI association was observed with COVID-19 symptoms and LUS score (p-value < 0.05). No associations were found with asthma or atopy.
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Affiliation(s)
- Cristiana Indolfi
- Department of Woman, Child and General and Specialized Surgery, University of Campania Luigi Vanvitelli, 80138 Naples, Italy; (C.I.); (G.D.); (E.D.); (S.F.); (F.D.); (M.M.d.G.)
| | - Angela Klain
- Department of Woman, Child and General and Specialized Surgery, University of Campania Luigi Vanvitelli, 80138 Naples, Italy; (C.I.); (G.D.); (E.D.); (S.F.); (F.D.); (M.M.d.G.)
| | - Giulio Dinardo
- Department of Woman, Child and General and Specialized Surgery, University of Campania Luigi Vanvitelli, 80138 Naples, Italy; (C.I.); (G.D.); (E.D.); (S.F.); (F.D.); (M.M.d.G.)
| | - Elisabetta D’Addio
- Department of Woman, Child and General and Specialized Surgery, University of Campania Luigi Vanvitelli, 80138 Naples, Italy; (C.I.); (G.D.); (E.D.); (S.F.); (F.D.); (M.M.d.G.)
| | - Serena Ferrara
- Department of Woman, Child and General and Specialized Surgery, University of Campania Luigi Vanvitelli, 80138 Naples, Italy; (C.I.); (G.D.); (E.D.); (S.F.); (F.D.); (M.M.d.G.)
| | - Fabio Decimo
- Department of Woman, Child and General and Specialized Surgery, University of Campania Luigi Vanvitelli, 80138 Naples, Italy; (C.I.); (G.D.); (E.D.); (S.F.); (F.D.); (M.M.d.G.)
| | - Giorgio Ciprandi
- Department of Medicine, Allergy Clinic, Casa di Cura Villa Montallegro, 16145 Genoa, Italy;
| | - Maria Angela Tosca
- Pediatric Allergy Center, Istituto Giannina Gaslini, 16147 Genoa, Italy;
| | - Michele Miraglia del Giudice
- Department of Woman, Child and General and Specialized Surgery, University of Campania Luigi Vanvitelli, 80138 Naples, Italy; (C.I.); (G.D.); (E.D.); (S.F.); (F.D.); (M.M.d.G.)
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6
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Lai SY, Schafer JM, Meinke M, Beals T, Doff M, Grossestreuer A, Hoffmann B. Lung Ultrasound Score in COVID-19 Patients Correlates with PO 2/FiO 2, Intubation Rates, and Mortality. West J Emerg Med 2024; 25:28-39. [PMID: 38205982 PMCID: PMC10777190 DOI: 10.5811/westjem.59975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 09/14/2023] [Accepted: 10/19/2023] [Indexed: 01/12/2024] Open
Abstract
Introduction The point-of-care lung ultrasound (LUS) score has been used in coronavirus 2019 (COVID-19) patients for diagnosis and risk stratification, due to excellent sensitivity and infection control concerns. We studied the ratio of partial pressure of oxygen in arterial blood to the fraction of inspiratory oxygen concentration (PO2/FiO2), intubation rates, and mortality correlation to the LUS score. Methods We conducted a systematic review using PRISMA guidelines. Included were articles published from December 1, 2019-November 30, 2021 using LUS in adult COVID-19 patients in the intensive care unit or the emergency department. Excluded were studies on animals and on pediatric and pregnant patients. We assessed bias using QUADAS-2. Outcomes were LUS score and correlation to PO2/FiO2, intubation, and mortality rates. Random effects model pooled the meta-analysis results. Results We reviewed 27 of 5,267 studies identified. Of the 27 studies, seven were included in the intubation outcome, six in the correlation to PO2/FiO2 outcome, and six in the mortality outcome. Heterogeneity was found in ultrasound protocols and outcomes. In the pooled results of 267 patients, LUS score was found to have a strong negative correlation to PO2/FiO2 with a correlation coefficient of -0.69 (95% confidence interval [CI] -0.75, -0.62). In pooled results, 273 intubated patients had a mean LUS score that was 6.95 points higher (95% CI 4.58-9.31) than that of 379 non-intubated patients. In the mortality outcome, 385 survivors had a mean LUS score that was 4.61 points lower (95% CI 3.64-5.58) than that of 181 non-survivors. There was significant heterogeneity between the studies as measured by the I2 and Cochran Q test. Conclusion A higher LUS score was strongly correlated with a decreasing PO2/FiO2 in COVID-19 pneumonia patients. The LUS score was significantly higher in intubated vs non-intubated patients with COVID-19. The LUS score was significantly lower in critically ill patients with COVID-19 pneumonia that survive.
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Affiliation(s)
- Shin-Yi Lai
- Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, Massachusetts
- St Vincent Hospital, Department of Emergency Medicine, Associated Physicians of Harvard Medical Faculty Physicians, Worcester, Massachusetts
| | - Jesse M Schafer
- Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, Massachusetts
| | - Mary Meinke
- Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, Massachusetts
| | - Tyler Beals
- Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, Massachusetts
| | - Michael Doff
- Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, Massachusetts
| | - Anne Grossestreuer
- Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, Massachusetts
| | - Beatrice Hoffmann
- Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, Massachusetts
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Mazzarone T, Morelli V, Giusti A, Bianco MG, Maccioni L, Cargiolli C, Guarino D, Virdis A, Okoye C. Predicting In-Hospital Acute Heart Failure Worsening in the Oldest Old: Insights from Point-of-Care Ultrasound. J Clin Med 2023; 12:7423. [PMID: 38068474 PMCID: PMC10707717 DOI: 10.3390/jcm12237423] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/15/2023] [Accepted: 11/28/2023] [Indexed: 06/03/2024] Open
Abstract
The decompensation trajectory check is a basic step to assess the clinical course and to plan future therapy in hospitalized patients with acute decompensated heart failure (ADHF). Due to the atypical presentation and clinical complexity, trajectory checks can be challenging in older patients with acute HF. Point-of-care ultrasound (POCUS) has proved to be helpful in the clinical decision-making of patients with dyspnea; however, to date, no study has attempted to verify its role in predicting determinants of ADHF in-hospital worsening. In this single-center, cross-sectional study, we consecutively enrolled patients aged 75 or older hospitalized with ADHF in a tertiary care hospital. All of the patients underwent a complete clinical examination, blood tests, and POCUS, including Lung Ultrasound and Focused Cardiac Ultrasound. Out of 184 patients hospitalized with ADHF, 60 experienced ADHF in-hospital worsening. By multivariable logistic analysis, total Pleural Effusion Score (PEFs) [aO.R.: 1.15 (CI95% 1.02-1.33), p = 0.043] and IVC collapsibility [aO.R.: 0.90 (CI95% 0.83-0.95), p = 0.039] emerged as independent predictors of acute HF worsening after extensive adjustment for potential confounders. In conclusion, POCUS holds promise for enhancing risk assessment, tailoring diuretic treatment, and optimizing discharge timing for older patients with ADHF.
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Affiliation(s)
- Tessa Mazzarone
- Geriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Virginia Morelli
- Geriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Andrea Giusti
- Geriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Maria Giovanna Bianco
- Geriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Lorenzo Maccioni
- Geriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Cristina Cargiolli
- Geriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Daniela Guarino
- Geriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Agostino Virdis
- Geriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Chukwuma Okoye
- Geriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, 11419 Stockholm, Sweden
- Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milano, Italy
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8
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Velazquez Guevara BA, Abud Mendoza C, Avilés Ramírez LRDJ, Santillán Guerrero E. Ultrasound for diagnosis of interstitial lung disease in diffuse connective tissue diseases. REUMATOLOGIA CLINICA 2023; 19:455-462. [PMID: 37164882 DOI: 10.1016/j.reumae.2022.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 12/05/2022] [Indexed: 05/12/2023]
Abstract
Patients with diffuse connective tissue diseases frequently develop interstitial lung disease, which carries a worse prognosis and shortens survival. High-resolution computed tomography is the first-choice test, and is competitive with histopathology, however, the cost and radiation may limit its use, particularly for screening. Lung ultrasound is a rapid, accessible, reproducible, and inexpensive study that is useful for diagnosis of interstitial lung disease. Furthermore, extensive training is not required to identify the alterations associated with these lung diseases. B lines and pleural irregularities compose the ultrasonographic interstitial syndrome, although, it must be kept in mind that it is not specific, and it is necessary to rule out haemodynamic, cardiovascular, and infectious abnormalities. This review highlights the elevated prevalence of this lung condition in the main rheumatological diseases, with emphasis on the usefulness of pulmonary ultrasound.
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Affiliation(s)
| | - Carlos Abud Mendoza
- Hospital Central Dr. Ignacio Morones Prieto, Universidad Autónoma de San Luís Potosí, San Luis Potosí, Mexico.
| | | | - Eva Santillán Guerrero
- Hospital Central Dr. Ignacio Morones Prieto, Universidad Autónoma de San Luís Potosí, San Luis Potosí, Mexico
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9
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Konda SR, Esper GW, Meltzer-Bruhn AT, Ganta A, Egol KA. The Cost We Bear: Financial Implications for Hip Fracture Care Amidst the COVID-19 Pandemic. J Am Acad Orthop Surg 2023; 31:990-994. [PMID: 37279163 DOI: 10.5435/jaaos-d-22-00611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 05/07/2023] [Indexed: 06/08/2023] Open
Abstract
INTRODUCTION The purpose of this study was to assess the impact of COVID-19 on the cost of hip fracture care in the geriatric/middle-aged cohort, hypothesizing the cost of care increased during the pandemic, especially in COVID+ patients. METHODS Between October 2014 and January 2022, 2,526 hip fracture patients older than 55 years were analyzed for demographics, injury details, COVID status on admission, hospital quality measures, and inpatient healthcare costs from the inpatient admission. Comparative analyses were conducted between: (1) All comers and high-risk patients in the prepandemic (October 2014 to January 2020) and pandemic (February 2020 to January 2022) cohorts and (2) COVID+ and COVID- patients during the pandemic. Subanalysis assessed the difference in cost breakdown for patients in the overall cohorts, the high-risk quartiles, and between the prevaccine and postvaccine pandemic cohorts. RESULTS Although the total costs of admission for all patients, and specifically high-risk patients, were not notably higher during the pandemic, further breakdown showed higher costs for the emergency department, laboratory/pathology, radiology, and allied health services during the pandemic, which was offset by lower procedural costs. High-risk COVID+ patients had higher total costs than high-risk COVID- patients ( P < 0.001), most notably in room-and-board ( P = 0.032) and allied health ( P = 0.023) costs. Once the pandemic started, subgroup analysis demonstrated no change in the total cost in the prevaccine and postvaccine cohort. CONCLUSION The overall inpatient cost of hip fracture care did not increase during the pandemic. Although individual subdivisions of cost signified increased resource utilization during the pandemic, this was offset by lower procedural costs. COVID+ patients, however, had notably higher total costs compared with COVID- patients driven primarily by increased room-and-board costs. The overall cost of care for high-risk patients did not decrease after the widespread administration of the COVID-19 vaccine. LEVEL OF EVIDENCE III.
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Affiliation(s)
- Sanjit R Konda
- From the Department of Orthopedic Surgery, Division of Orthopedic Trauma Surgery, NYU Langone Health, NYU Langone Orthopedic Hospital, New York, NY (Konda, Esper, Meltzer Bruhn, Ganta, and Egol) and the Department of Orthopedic Surgery, Jamaica Hospital Medical Center, Richmond Hill, NY (Konda, Egol, and Ganta)
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10
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Schäfer VS, Recker F, Kretschmer E, Putensen C, Ehrentraut SF, Staerk C, Fleckenstein T, Mayr A, Seibel A, Schewe JC, Petzinna SM. Lung Ultrasound in Predicting Outcomes in Patients with COVID-19 Treated with Extracorporeal Membrane Oxygenation. Viruses 2023; 15:1796. [PMID: 37766203 PMCID: PMC10535976 DOI: 10.3390/v15091796] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/17/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
Pulmonary involvement due to SARS-CoV-2 infection can lead to acute respiratory distress syndrome in patients with COVID-19. Consequently, pulmonary imaging is crucial for management of COVID-19. This study aimed to evaluate the prognostic value of lung ultrasound (LUS) with a handheld ultrasound device (HHUD) in patients with COVID-19 treated with extracorporeal membrane oxygenation (ECMO). Therefore, patients underwent LUS with a HHUD every two days until they were either discharged from the intensive care unit or died. The study was conducted at the University Hospital of Bonn's anesthesiological intensive care ward from December 2020 to August 2021. A total of 33 patients (median [IQR]: 56.0 [53-60.5] years) were included. A high LUS score was associated with a decreased P/F ratio (repeated measures correlation [rmcorr]: -0.26; 95% CI: -0.34, -0.15; p < 0.001), increased extravascular lung water, defined as fluid accumulation in the pulmonary interstitium and alveoli (rmcorr: 0.11; 95% CI: 0.01, 0.20; p = 0.030), deteriorated electrolyte status (base excess: rmcorr: 0.14; 95% CI: 0.05, 0.24; p = 0.004; pH: rmcorr: 0.12; 95% CI: 0.03, 0.21; p = 0.001), and decreased pulmonary compliance (rmcorr: -0.10; 95% CI: -0.20, -0.01; p = 0.034). The maximum LUS score was lower in survivors (median difference [md]: -0.35; 95% CI: -0.55, -0.06; p = 0.006). A cutoff value for non-survival was calculated at a LUS score of 2.63. At the time of maximum LUS score, P/F ratio (md: 1.97; 95% CI: 1.12, 2.76; p < 0.001) and pulmonary compliance (md: 18.67; 95% CI: 3.33, 37.15; p = 0.018) were higher in surviving patients. In conclusion, LUS with a HHUD enables continuous evaluation of cardiopulmonary function in COVID-19 patients receiving ECMO support therapy and provides prognostic value in determining the patients' likelihood of survival.
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Affiliation(s)
- Valentin Sebastian Schäfer
- Department of Internal Medicine III, Oncology, Hematology, Rheumatology and Clinical Immunology, University Hospital of Bonn, 53113 Bonn, Germany; (V.S.S.); (E.K.)
| | - Florian Recker
- Department of Obstetrics and Gynecology, University Hospital of Bonn, 53113 Bonn, Germany;
| | - Edgar Kretschmer
- Department of Internal Medicine III, Oncology, Hematology, Rheumatology and Clinical Immunology, University Hospital of Bonn, 53113 Bonn, Germany; (V.S.S.); (E.K.)
| | - Christian Putensen
- Department of Anaesthesiology and Intensive Care Medicine, University Hospital of Bonn, 53113 Bonn, Germany; (C.P.); (S.F.E.); (J.-C.S.)
| | - Stefan Felix Ehrentraut
- Department of Anaesthesiology and Intensive Care Medicine, University Hospital of Bonn, 53113 Bonn, Germany; (C.P.); (S.F.E.); (J.-C.S.)
| | - Christian Staerk
- Institute for Medical Biometry, Informatics and Epidemiology, Medical Faculty, University of Bonn, 53113 Bonn, Germany; (C.S.); (T.F.); (A.M.)
| | - Tobias Fleckenstein
- Institute for Medical Biometry, Informatics and Epidemiology, Medical Faculty, University of Bonn, 53113 Bonn, Germany; (C.S.); (T.F.); (A.M.)
| | - Andreas Mayr
- Institute for Medical Biometry, Informatics and Epidemiology, Medical Faculty, University of Bonn, 53113 Bonn, Germany; (C.S.); (T.F.); (A.M.)
| | - Armin Seibel
- Department of Intensive Care Medicine, DRK Hospital Kirchen, 57548 Kirchen, Germany;
| | - Jens-Christian Schewe
- Department of Anaesthesiology and Intensive Care Medicine, University Hospital of Bonn, 53113 Bonn, Germany; (C.P.); (S.F.E.); (J.-C.S.)
- Department of Anaesthesiology Intensive Care Medicine and Pain Therapy, University Medical Centre Rostock, 18057 Rostock, Germany
| | - Simon Michael Petzinna
- Department of Internal Medicine III, Oncology, Hematology, Rheumatology and Clinical Immunology, University Hospital of Bonn, 53113 Bonn, Germany; (V.S.S.); (E.K.)
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Maggi L, De Fazio G, Guglielmi R, Coluzzi F, Fiorelli S, Rocco M. COVID-19 Lung Ultrasound Scores and Lessons from the Pandemic: A Narrative Review. Diagnostics (Basel) 2023; 13:diagnostics13111972. [PMID: 37296825 DOI: 10.3390/diagnostics13111972] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 06/12/2023] Open
Abstract
The WHO recently declared that COVID-19 no longer constitutes a public health emergency of international concern; however, lessons learned through the pandemic should not be left behind. Lung ultrasound was largely utilized as a diagnostic tool thanks to its feasibility, easy application, and the possibility to reduce the source of infection for health personnel. Lung ultrasound scores consist of grading systems used to guide diagnosis and medical decisions, owning a good prognostic value. In the emergency context of the pandemic, several lung ultrasound scores emerged either as new scores or as modifications of pre-existing ones. Our aim is to clarify the key aspects of lung ultrasound and lung ultrasound scores to standardize their clinical use in a non-pandemic context. The authors searched on PubMed for articles related to "COVID-19", "ultrasound", and "Score" until 5 May 2023; other keywords were "thoracic", "lung", "echography", and "diaphragm". A narrative summary of the results was made. Lung ultrasound scores are demonstrated to be an important tool for triage, prediction of severity, and aid in medical decisions. Ultimately, the existence of numerous scores leads to a lack of clarity, confusion, and an absence of standardization.
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Affiliation(s)
- Luigi Maggi
- Government of Italy Ministry of Interior, 00189 Rome, Italy
| | - Giulia De Fazio
- Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, 00189 Rome, Italy
| | - Riccardo Guglielmi
- Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, 00189 Rome, Italy
| | - Flaminia Coluzzi
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04100 Latina, Italy
- Unit of Anaesthesia, Intensive Care and Pain Medicine, Sant'Andrea University Hospital, 00189 Rome, Italy
| | - Silvia Fiorelli
- Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, 00189 Rome, Italy
| | - Monica Rocco
- Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, 00189 Rome, Italy
- Unit of Anaesthesia, Intensive Care and Pain Medicine, Sant'Andrea University Hospital, 00189 Rome, Italy
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12
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Granata V, Fusco R, Villanacci A, Grassi F, Grassi R, Di Stefano F, Petrone A, Fusco N, Ianniello S. Qualitative and semi-quantitative ultrasound assessment in delta and Omicron Covid-19 patients: data from high volume reference center. Infect Agent Cancer 2023; 18:34. [PMID: 37245026 DOI: 10.1186/s13027-023-00515-w] [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: 04/05/2023] [Accepted: 05/24/2023] [Indexed: 05/29/2023] Open
Abstract
OBJECTIVE to evaluate the efficacy of US, both qualitatively and semi-quantitatively, in the selection of treatment for the Covid-19 patient, using patient triage as the gold standard. METHODS Patients admitted to the Covid-19 clinic to be treated with monoclonal antibodies (mAb) or retroviral treatment and undergoing lung ultrasound (US) were selected from the radiological data set between December 2021 and May 2022 according to the following inclusion criteria: patients with proven Omicron variant and Delta Covid-19 infection; patients with known Covid-19 vaccination with at least two doses. Lung US (LUS) was performed by experienced radiologists. The presence, location, and distribution of abnormalities, such as B-lines, thickening or ruptures of the pleural line, consolidations, and air bronchograms, were evaluated. The anomalous findings in each scan were classified according to the LUS scoring system. Nonparametric statistical tests were performed. RESULTS The LUS score median value in the patients with Omicron variant was 1.5 (1-20) while the LUS score median value in the patients with Delta variant was 7 (3-24). A difference statistically significant was observed for LUS score values among the patients with Delta variant between the two US examinations (p value = 0.045 at Kruskal Wallis test). There was a difference in median LUS score values between hospitalized and non-hospitalized patients for both the Omicron and Delta groups (p value = 0.02 on the Kruskal Wallis test). For Delta patients groups the sensitivity, specificity, positive and negative predictive values, considering a value of 14 for LUS score for the hospitalization, were of 85.29%, 44.44%, 85.29% and 76.74% respectively. CONCLUSIONS LUS is an interesting diagnostic tool in the context of Covid-19, it could allow to identify the typical pattern of diffuse interstitial pulmonary syndrome and could guide the correct management of patients.
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Affiliation(s)
- Vincenza Granata
- Division of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli", 80131, Naples, Italy
| | | | - Alberta Villanacci
- Department of Radiology and Diagnostic Imaging, National Institute for Infectious Diseases IRCCS Lazzaro Spallanzani, 00149, Rome, Italy
| | - Francesca Grassi
- Division of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122, Milan, Italy
| | - Roberta Grassi
- Division of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122, Milan, Italy
| | - Federica Di Stefano
- Department of Radiology and Diagnostic Imaging, National Institute for Infectious Diseases IRCCS Lazzaro Spallanzani, 00149, Rome, Italy
| | - Ada Petrone
- Department of Radiology and Diagnostic Imaging, National Institute for Infectious Diseases IRCCS Lazzaro Spallanzani, 00149, Rome, Italy
| | - Nicoletta Fusco
- Department of Radiology and Diagnostic Imaging, National Institute for Infectious Diseases IRCCS Lazzaro Spallanzani, 00149, Rome, Italy
| | - Stefania Ianniello
- Department of Radiology and Diagnostic Imaging, National Institute for Infectious Diseases IRCCS Lazzaro Spallanzani, 00149, Rome, Italy
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13
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Navarro-Ballester A, Merino-Bonilla JA, Ros-Mendoza LH, Marco-Doménech SF. Publications on COVID-19 in radiology journals in 2020 and 2021: bibliometric citation and co-citation network analysis. Eur Radiol 2023; 33:3103-3114. [PMID: 36571605 PMCID: PMC9791158 DOI: 10.1007/s00330-022-09340-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/20/2022] [Accepted: 11/29/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVES The pandemic caused by SARS-CoV-2 has led to the rapid publication of numerous radiology articles, primarily focused on disease diagnosis. The objective of this study is to analyze the intellectual structure of radiology research on COVID-19 using a citation and co-citation analysis. METHODS We identified all documents about COVID-19 published in radiology journals included in the Web of Science in the period 2020-2021, conducting a citation analysis. Then we identified all bibliographic references that were cited by these documents, generating a co-citation matrix that was used to perform a co-citation network. RESULTS Of the 3418 documents indexed in WoS, 857 were initially "Early Access," 2223 had citations, 393 had more than 20 citations, and 83 had more than 100 citations. The USA had the highest number of publications (32.62%) and China had the highest rate of funded studies (45.38%). The three authors with the most publications were affiliated with Italian institutions, while the five most cited authors were Chinese. A total of 647 publications were co-cited at least 12 times and were published in 206 different journals, with 49% of the documents found in radiology journals. The institutions with the greatest presence among these co-cited articles were Chinese and American. CONCLUSION This co-citation analysis is the first to focus exclusively on radiology articles on COVID-19. Our study confirms the existence of interrelated thematic clusters with different specific weights. KEY POINTS • As the pandemic caused by SARS-Cov-2 has led to the rapid publication of numerous radiology studies in a short time period, a bibliometric review based on citation and co-citation analysis has been conducted. • The co-citation analysis supported the identification of key themes in the study of COVID-19 in radiology publications. • Many of the most co-cited articles belong to a heterogeneous group of publications, with authors from countries that are far apart and even from different disciplines.
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Affiliation(s)
- Antonio Navarro-Ballester
- Radiology Department, Hospital General Universitari de Castelló, Benicasim avenue, 128. P.C.: 12,004, Castellón de la Plana, Castellón, Spain.
| | - José A Merino-Bonilla
- Radiology Department, Hospital Santiago Apóstol, Carretera de Orón, s/n, 09200, Miranda de Ebro, Burgos, Spain
| | - Luis H Ros-Mendoza
- Radiology Department, Hospital Universitario Miguel Servet, P.º de Isabel la Católica, 1-3, 50009, Zaragoza, Spain
| | - Santiago F Marco-Doménech
- Radiology Department, Hospital General Universitari de Castelló, Benicasim avenue, 128. P.C.: 12,004, Castellón de la Plana, Castellón, Spain
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14
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Nova A, Rezoagli E, Eronia N, Benini A, Scognamiglio A, Foti G, Bellani G. Prognostic Performance of Bedside Lung Ultrasound Score (LUSS) and ROX Index in Hypoxemic Respiratory Failure Due to COVID-19. Diagnostics (Basel) 2023; 13:diagnostics13071361. [PMID: 37046578 PMCID: PMC10093387 DOI: 10.3390/diagnostics13071361] [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: 02/28/2023] [Revised: 03/30/2023] [Accepted: 04/04/2023] [Indexed: 04/14/2023] Open
Abstract
Background: Noninvasive ventilation, mainly helmet CPAP, was widely used during the COVID-19 pandemic, even outside of intensive care units. Both the ROX index and the LUS score (LUSS) have been proposed as tools to predict negative outcomes in patients with hypoxemia treated with noninvasive ventilation (NIV) outside of ICUs. We aim to evaluate whether the combination of LUSS with the ROX index improves the predictive performance of these indices in patients with hypoxemia due to COVID-19 pneumonia, treated with NIV outside of ICUs. Methods: This is a monocentric prospective observational study conducted at the university teaching hospital Fondazione IRCCS San Gerardo dei Tintori (Monza, Italy) from February to April 2021. LUSS and ROX were collected at the same time in noninvasively ventilated patients outside of the ICU. An LUS exam was performed by 3 emergency medicine attending physicians with at least 5 years' experience in point-of-care ultrasonography using a 12-zone system. To evaluate the accuracy of the prognostic indices in predicting a composite outcome (endotracheal intubation and mortality), ROC curves were used. A logistic multivariable model was used to explore the predictors of the composite outcome of endotracheal intubation and in-hospital mortality. An unadjusted Kaplan-Meier analysis was used to explore the association with the composite outcome of survival without invasive mechanical ventilation at the 30-day follow-up by stratifying the 3 indices by their best cut-offs. Results: A total of 79 patients were included in the statistical analysis and stratified into 2 groups based on the presence of a negative outcome, which was reported in 24 patients out of 79 (30%). A great proportion of patients (66 patients-84%) were treated with helmet CPAP. All three indices (LUSS, ROX and LUSS/ROX) were independently associated with negative outcomes in the multivariable analyses. Although the comparison between the AUROC of LUSS or ROX versus LUSS/ROX did not reveal a statistically significant difference, we observed a trend toward a higher accuracy for predicting negative outcomes using the LUSS/ROX index as compared to using LUSS. With the Kaplan-Maier approach, all three indices stratified by the best cut-off reported a significant association with the outcome of 30-day survival without mechanical ventilation. Conclusions: A multimodal noninvasive approach that combines ultrasound (i.e., LUSS) and a bedside clinical evaluation (i.e., the ROX index) may help clinicians to predict outcomes and to identify patients who would benefit the most from invasive respiratory support.
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Affiliation(s)
- Alice Nova
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
| | - Emanuele Rezoagli
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
- Department of Emergency and Intensive Care, Terapia Intensiva e Semintensiva Adulti e Pediatrica, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
| | - Nilde Eronia
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
| | - Annalisa Benini
- Department of Emergency and Intensive Care, Terapia Intensiva e Semintensiva Adulti e Pediatrica, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
| | - Andrea Scognamiglio
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
| | - Giuseppe Foti
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
- Department of Emergency and Intensive Care, Terapia Intensiva e Semintensiva Adulti e Pediatrica, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
| | - Giacomo Bellani
- Centre for Medical Sciences-CISMed, University of Trento, Via S. Maria Maddalena 1, 38122 Trento, Italy
- Anesthesia and Intensive Care, Santa Chiara Regional Hospital, APSS (Azienda Provinciale per i Servizi Sanitari), 38123 Trento, Italy
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15
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Chrzan R, Polok K, Antczak J, Siwiec-Koźlik A, Jagiełło W, Popiela T. The value of lung ultrasound in COVID-19 pneumonia, verified by high resolution computed tomography assessed by artificial intelligence. BMC Infect Dis 2023; 23:195. [PMID: 37003997 PMCID: PMC10064611 DOI: 10.1186/s12879-023-08173-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 03/17/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Lung ultrasound (LUS) is an increasingly popular imaging method in clinical practice. It became particularly important during the COVID-19 pandemic due to its mobility and ease of use compared to high-resolution computed tomography (HRCT). The objective of this study was to assess the value of LUS in quantifying the degree of lung involvement and in discrimination of lesion types in the course of COVID-19 pneumonia as compared to HRCT analyzed by the artificial intelligence (AI). METHODS This was a prospective observational study including adult patients hospitalized due to COVID-19 in whom initial HRCT and LUS were performed with an interval < 72 h. HRCT assessment was performed automatically by AI. We evaluated the correlations between the inflammation volume assessed both in LUS and HRCT, between LUS results and the HRCT structure of inflammation, and between LUS and the laboratory markers of inflammation. Additionally we compared the LUS results in subgroups depending on the respiratory failure throughout the hospitalization. RESULTS Study group comprised 65 patients, median 63 years old. For both lungs, the median LUS score was 19 (IQR-interquartile range 11-24) and the median CT score was 22 (IQR 16-26). Strong correlations were found between LUS and CT scores (for both lungs r = 0.75), and between LUS score and percentage inflammation volume (PIV) (r = 0.69). The correlations remained significant, if weakened, for individual lung lobes. The correlations between LUS score and the value of the percentage consolidation volume (PCV) divided by percentage ground glass volume (PGV), were weak or not significant. We found significant correlation between LUS score and C-reactive protein (r = 0.55), and between LUS score and interleukin 6 (r = 0.39). LUS score was significantly higher in subgroups with more severe respiratory failure. CONCLUSIONS LUS can be regarded as an accurate method to evaluate the extent of COVID-19 pneumonia and as a promising tool to estimate its clinical severity. Evaluation of LUS in the assessment of the structure of inflammation, requires further studies in the course of the disease. TRIAL REGISTRATION The study has been preregistered 13 Aug 2020 on clinicaltrials.gov with the number NCT04513210.
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Affiliation(s)
- Robert Chrzan
- Department of Radiology, Jagiellonian University Medical College, Kopernika 19, 31-501, Krakow, Poland.
| | - Kamil Polok
- Department of Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Jakub Antczak
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Andżelika Siwiec-Koźlik
- Department of Rheumatology and Immunology, Jagiellonian University Medical College, Krakow, Poland
| | - Wojciech Jagiełło
- Second Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Tadeusz Popiela
- Department of Radiology, Jagiellonian University Medical College, Kopernika 19, 31-501, Krakow, Poland
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Baloescu C, Weingart GE, Moore CL. Emergency Department Point-Of-Care Echocardiography and Lung Ultrasound in Predicting COVID-19 Severity. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023. [PMID: 36840721 DOI: 10.1002/jum.16205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 01/17/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVES We sought to determine if point-of-care ultrasound (POCUS) performed on patients with COVID-19 in the emergency department (ED) can help predict disease course, severity, or identify complications. METHODS This was a retrospective cohort study of adult ED patients who tested positive for COVID-19 at hospital admission or within 2 weeks of presentation and received heart or lung POCUS. Clips were reviewed for presence of decreased left ventricular ejection fraction (LVEF), right ventricular dilation, presence of B-lines, and pleural line abnormalities. Patients with worsening hypoxemic respiratory failure or shock requiring higher level of care and patients who expired were considered to have developed severe COVID-19. Regression analysis was performed to determine if there was a correlation between ED POCUS findings and development of severe COVID-19. RESULTS A total of 155 patients met study criteria; 148 patients had documented cardiac views and 116 patients had documented lung views (113 with both). Mean age was 66.5 years old (±18.6) and 53% of subjects were female. Subjects with decreased LVEF that was not previously documented had increased odds of having severe COVID during their hospitalization compared to those with old or no dysfunction (OR 5.66, 95% CI: 1.55-19.95, P = .08). The presence of pleural line abnormalities was also predictive for development of severe COVID (OR 2.68, 95% CI: 1.04-6.92, P = .04). CONCLUSION POCUS findings of previously unidentified decreased LVEF and pleural line abnormalities in patients with COVID-19 evaluated in the ED were correlated to a more severe clinical course and worse prognosis.
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Affiliation(s)
- Cristiana Baloescu
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Gabriel E Weingart
- Department of Emergency Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Christopher L Moore
- Department of Emergency, Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
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17
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Demi L, Wolfram F, Klersy C, De Silvestri A, Ferretti VV, Muller M, Miller D, Feletti F, Wełnicki M, Buda N, Skoczylas A, Pomiecko A, Damjanovic D, Olszewski R, Kirkpatrick AW, Breitkreutz R, Mathis G, Soldati G, Smargiassi A, Inchingolo R, Perrone T. New International Guidelines and Consensus on the Use of Lung Ultrasound. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:309-344. [PMID: 35993596 PMCID: PMC10086956 DOI: 10.1002/jum.16088] [Citation(s) in RCA: 77] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/28/2022] [Accepted: 07/31/2022] [Indexed: 05/02/2023]
Abstract
Following the innovations and new discoveries of the last 10 years in the field of lung ultrasound (LUS), a multidisciplinary panel of international LUS experts from six countries and from different fields (clinical and technical) reviewed and updated the original international consensus for point-of-care LUS, dated 2012. As a result, a total of 20 statements have been produced. Each statement is complemented by guidelines and future developments proposals. The statements are furthermore classified based on their nature as technical (5), clinical (11), educational (3), and safety (1) statements.
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Affiliation(s)
- Libertario Demi
- Department of Information Engineering and Computer ScienceUniversity of TrentoTrentoItaly
| | - Frank Wolfram
- Department of Thoracic and Vascular SurgerySRH Wald‐Klinikum GeraGeraGermany
| | - Catherine Klersy
- Unit of Clinical Epidemiology and BiostatisticsFondazione IRCCS Policlinico S. MatteoPaviaItaly
| | - Annalisa De Silvestri
- Unit of Clinical Epidemiology and BiostatisticsFondazione IRCCS Policlinico S. MatteoPaviaItaly
| | | | - Marie Muller
- Department of Mechanical and Aerospace EngineeringNorth Carolina State UniversityRaleighNorth CarolinaUSA
| | - Douglas Miller
- Department of RadiologyMichigan MedicineAnn ArborMichiganUSA
| | - Francesco Feletti
- Department of Diagnostic ImagingUnit of Radiology of the Hospital of Ravenna, Ausl RomagnaRavennaItaly
- Department of Translational Medicine and for RomagnaUniversità Degli Studi di FerraraFerraraItaly
| | - Marcin Wełnicki
- 3rd Department of Internal Medicine and CardiologyMedical University of WarsawWarsawPoland
| | - Natalia Buda
- Department of Internal Medicine, Connective Tissue Disease and GeriatricsMedical University of GdanskGdanskPoland
| | - Agnieszka Skoczylas
- Geriatrics DepartmentNational Institute of Geriatrics, Rheumatology and RehabilitationWarsawPoland
| | - Andrzej Pomiecko
- Clinic of Pediatrics, Hematology and OncologyUniversity Clinical CenterGdańskPoland
| | - Domagoj Damjanovic
- Heart Center Freiburg University, Department of Cardiovascular Surgery, Faculty of MedicineUniversity of FreiburgFreiburgGermany
| | - Robert Olszewski
- Department of Gerontology, Public Health and DidacticsNational Institute of Geriatrics, Rheumatology and RehabilitationWarsawPoland
| | - Andrew W. Kirkpatrick
- Departments of Critical Care Medicine and SurgeryUniversity of Calgary and the TeleMentored Ultrasound Supported Medical Interventions Research GroupCalgaryCanada
| | - Raoul Breitkreutz
- FOM Hochschule für Oekonomie & Management gGmbHDepartment of Health and SocialEssenGermany
| | - Gebhart Mathis
- Emergency UltrasoundAustrian Society for Ultrasound in Medicine and BiologyViennaAustria
| | - Gino Soldati
- Diagnostic and Interventional Ultrasound UnitValledel Serchio General HospitalLuccaItaly
| | - Andrea Smargiassi
- Pulmonary Medicine Unit, Department of Medical and Surgical SciencesFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
- Department of Internal Medicine, IRCCS San Matteo Hospital FoundationUniversity of PaviaPaviaItaly
| | - Riccardo Inchingolo
- Pulmonary Medicine Unit, Department of Medical and Surgical SciencesFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
- Department of Internal Medicine, IRCCS San Matteo Hospital FoundationUniversity of PaviaPaviaItaly
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18
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Xing W, Li G, He C, Huang Q, Cui X, Li Q, Li W, Chen J, Ta D. Automatic detection of A-line in lung ultrasound images using deep learning and image processing. Med Phys 2023; 50:330-343. [PMID: 35950481 DOI: 10.1002/mp.15908] [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: 02/24/2022] [Revised: 06/29/2022] [Accepted: 07/30/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Auxiliary diagnosis and monitoring of lung diseases based on lung ultrasound (LUS) images is important clinical research. A-line is one of the most common indicators of LUS that can offer support for the assessment of lung diseases. A traditional A-line detection method mainly relies on experienced clinicians, which is inefficient and cannot meet the needs of these areas with backward medical level. Therefore, how to realize the automatic detection of A-line in LUS image is important. PURPOSE In order to solve the disadvantages of traditional A-line detection methods, realize automatic and accurate detection, and provide theoretical support for clinical application, we proposed a novel A-line detection method for LUS images with different probe types in this paper. METHODS First, the improved Faster R-CNN model with a selection strategy of localization box was designed to accurately locate the pleural line. Then, the LUS image below the pleural line was segmented for independent analysis excluding the influence of other similar structures. Next, image-processing methods based on total variation, matched filter, and gray difference were applied to achieve the automatic A-line detection. Finally, the "depth" index was designed to verify the accuracy by judging whether the automatic measurement results belong to corresponding manual results (±5%). In experiments, 3000 convex array LUS images were used for training and validating the improved pleural line localization model by five-fold cross validation. 850 convex array LUS images and 1080 linear array LUS images were used for testing the trained pleural line localization model and the proposed image-processing-based A-line detection method. The accuracy analysis, error statistics, and Harsdorff distance were employed to evaluate the experimental results. RESULTS After 100 epochs, the mean loss value of training and validation set of improved Faster R-CNN model reached 0.6540 and 0.7882, with the validation accuracy of 98.70%. The trained pleural line localization model was applied in the testing set of convex and linear probes and reached the accuracy of 97.88% and 97.11%, respectively, which were 3.83% and 8.70% higher than the original Faster R-CNN model. The accuracy, sensitivity, and specificity of A-line detection reached 95.41%, 0.9244%, 0.9875%, and 94.63%, 0.9230%, and 0.9766% for convex and linear probes, respectively. Compared to the experienced clinicians' results, the mean value and p value of depth error were 1.5342 ± 1.2097 and 0.9021, respectively, and the Harsdorff distance was 5.7305 ± 1.8311. In addition, the accumulated accuracy of the two-stage experiment (pleural line localization and A-line detection) was calculated as the final accuracy of the whole A-line detection system. They were 93.39% and 91.90% for convex and linear probes, respectively, which were higher than these previous methods. CONCLUSIONS The proposed method combining image processing and deep learning can automatically and accurately detect A-line in LUS images with different probe types, which has important application value for clinical diagnosis.
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Affiliation(s)
- Wenyu Xing
- Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China.,Human Phenome Institute, Fudan University, Shanghai, China
| | - Guannan Li
- Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China
| | - Chao He
- Department of Emergency and Critical Care, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Qiming Huang
- School of Advanced Computing and Artificial Intelligence, Xi'an Jiaotong-liverpool University, Suzhou, China
| | - Xulei Cui
- Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Qingli Li
- Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China
| | - Wenfang Li
- Department of Emergency and Critical Care, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Jiangang Chen
- Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China.,Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China
| | - Dean Ta
- Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, China.,Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China
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19
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Custode LL, Mento F, Tursi F, Smargiassi A, Inchingolo R, Perrone T, Demi L, Iacca G. Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees. Appl Soft Comput 2023; 133:109926. [PMID: 36532127 PMCID: PMC9746028 DOI: 10.1016/j.asoc.2022.109926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 10/26/2022] [Accepted: 12/08/2022] [Indexed: 12/15/2022]
Abstract
COVID-19 raised the need for automatic medical diagnosis, to increase the physicians' efficiency in managing the pandemic. Among all the techniques for evaluating the status of the lungs of a patient with COVID-19, lung ultrasound (LUS) offers several advantages: portability, cost-effectiveness, safety. Several works approached the automatic detection of LUS imaging patterns related COVID-19 by using deep neural networks (DNNs). However, the decision processes based on DNNs are not fully explainable, which generally results in a lack of trust from physicians. This, in turn, slows down the adoption of such systems. In this work, we use two previously built DNNs as feature extractors at the frame level, and automatically synthesize, by means of an evolutionary algorithm, a decision tree (DT) that aggregates in an interpretable way the predictions made by the DNNs, returning the severity of the patients' conditions according to a LUS score of prognostic value. Our results show that our approach performs comparably or better than previously reported aggregation techniques based on an empiric combination of frame-level predictions made by DNNs. Furthermore, when we analyze the evolved DTs, we discover properties about the DNNs used as feature extractors. We make our data publicly available for further development and reproducibility.
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Affiliation(s)
| | - Federico Mento
- Dept. of Information Engineering and Computer Science, University of Trento, Italy
| | | | - Andrea Smargiassi
- Dept. of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Riccardo Inchingolo
- Dept. of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Tiziano Perrone
- Dept. of Internal Medicine, IRCCS San Matteo, Pavia, Italy,Emergency Dept., Humanitas Gavazzeni, Bergamo, Italy
| | - Libertario Demi
- Dept. of Information Engineering and Computer Science, University of Trento, Italy
| | - Giovanni Iacca
- Dept. of Information Engineering and Computer Science, University of Trento, Italy,Corresponding author
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20
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Neag MA, Vulturar DM, Gherman D, Burlacu CC, Todea DA, Buzoianu AD. Gastrointestinal microbiota: A predictor of COVID-19 severity? World J Gastroenterol 2022; 28:6328-6344. [PMID: 36533107 PMCID: PMC9753053 DOI: 10.3748/wjg.v28.i45.6328] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/26/2022] [Accepted: 11/17/2022] [Indexed: 12/02/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19), caused by a severe acute respiratory syndrome coronavirus 2 infection, has raised serious concerns worldwide over the past 3 years. The severity and clinical course of COVID-19 depends on many factors (e.g., associated comorbidities, age, etc) and may have various clinical and imaging findings, which raises management concerns. Gut microbiota composition is known to influence respiratory disease, and respiratory viral infection can also influence gut microbiota. Gut and lung microbiota and their relationship (gut-lung axis) can act as modulators of inflammation. Modulating the intestinal microbiota, by improving its composition and diversity through nutraceutical agents, can have a positive impact in the prophylaxis/treatment of COVID-19.
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Affiliation(s)
- Maria Adriana Neag
- Department of Pharmacology, Toxicology and Clinical Pharmacology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca 400337, Romania
| | - Damiana-Maria Vulturar
- Department of Pneumology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca 400332, Romania
| | - Diana Gherman
- Department of Radiology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca 400347, Romania
| | - Codrin-Constantin Burlacu
- Faculty of Medicine, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca 400347, Romania
| | - Doina Adina Todea
- Department of Pneumology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca 400332, Romania
| | - Anca Dana Buzoianu
- Department of Pharmacology, Toxicology and Clinical Pharmacology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca 400337, Romania
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21
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Mento F, Khan U, Faita F, Smargiassi A, Inchingolo R, Perrone T, Demi L. State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses. ULTRASOUND IN MEDICINE & BIOLOGY 2022; 48:2398-2416. [PMID: 36155147 PMCID: PMC9499741 DOI: 10.1016/j.ultrasmedbio.2022.07.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/12/2022] [Accepted: 07/15/2022] [Indexed: 05/27/2023]
Abstract
Lung ultrasound (LUS) has been increasingly expanding since the 1990s, when the clinical relevance of vertical artifacts was first reported. However, the massive spread of LUS is only recent and is associated with the coronavirus disease 2019 (COVID-19) pandemic, during which semi-quantitative computer-aided techniques were proposed to automatically classify LUS data. In this review, we discuss the state of the art in LUS, from semi-quantitative image analysis approaches to quantitative techniques involving the analysis of radiofrequency data. We also discuss recent in vitro and in silico studies, as well as research on LUS safety. Finally, conclusions are drawn highlighting the potential future of LUS.
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Affiliation(s)
- Federico Mento
- Department of Information Engineering and Computer Science, University of Trento, Trento, Italy
| | - Umair Khan
- Department of Information Engineering and Computer Science, University of Trento, Trento, Italy
| | - Francesco Faita
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Andrea Smargiassi
- Department of Cardiovascular and Thoracic Sciences, Pulmonary Medicine Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Riccardo Inchingolo
- Department of Cardiovascular and Thoracic Sciences, Pulmonary Medicine Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | | | - Libertario Demi
- Department of Information Engineering and Computer Science, University of Trento, Trento, Italy.
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22
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Lasker A, Obaidullah SM, Chakraborty C, Roy K. Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review. SN COMPUTER SCIENCE 2022; 4:65. [PMID: 36467853 PMCID: PMC9702883 DOI: 10.1007/s42979-022-01464-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 10/18/2022] [Indexed: 11/26/2022]
Abstract
Lung, being one of the most important organs in human body, is often affected by various SARS diseases, among which COVID-19 has been found to be the most fatal disease in recent times. In fact, SARS-COVID 19 led to pandemic that spreads fast among the community causing respiratory problems. Under such situation, radiological imaging-based screening [mostly chest X-ray and computer tomography (CT) modalities] has been performed for rapid screening of the disease as it is a non-invasive approach. Due to scarcity of physician/chest specialist/expert doctors, technology-enabled disease screening techniques have been developed by several researchers with the help of artificial intelligence and machine learning (AI/ML). It can be remarkably observed that the researchers have introduced several AI/ML/DL (deep learning) algorithms for computer-assisted detection of COVID-19 using chest X-ray and CT images. In this paper, a comprehensive review has been conducted to summarize the works related to applications of AI/ML/DL for diagnostic prediction of COVID-19, mainly using X-ray and CT images. Following the PRISMA guidelines, total 265 articles have been selected out of 1715 published articles till the third quarter of 2021. Furthermore, this review summarizes and compares varieties of ML/DL techniques, various datasets, and their results using X-ray and CT imaging. A detailed discussion has been made on the novelty of the published works, along with advantages and limitations.
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Affiliation(s)
- Asifuzzaman Lasker
- Department of Computer Science & Engineering, Aliah University, Kolkata, India
| | - Sk Md Obaidullah
- Department of Computer Science & Engineering, Aliah University, Kolkata, India
| | - Chandan Chakraborty
- Department of Computer Science & Engineering, National Institute of Technical Teachers’ Training & Research Kolkata, Kolkata, India
| | - Kaushik Roy
- Department of Computer Science, West Bengal State University, Barasat, India
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23
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García AF, Ángel‐Isaza AM, Chica J, Estrada DE, Vargas‐Morales CA, Revelo‐Noguera J, Morell T, Gómez JA, Rodríguez Holguín F, Umaña M, Serna JJ, Carvajal S. Lung ultrasound as a screening tool for SARS-CoV-2 infection in surgical patients. JOURNAL OF CLINICAL ULTRASOUND : JCU 2022; 50:1271-1278. [PMID: 36200639 PMCID: PMC9874590 DOI: 10.1002/jcu.23358] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 08/19/2022] [Accepted: 09/08/2022] [Indexed: 06/01/2023]
Abstract
PURPOSE To evaluate the diagnostic performance of lung ultrasound (LUS) in screening for SARS-CoV-2 infection in patients requiring surgery. METHODS Patients underwent a LUS protocol that included a scoring system for screening COVID-19 pneumonia as well as RT-PCR test for SARS-CoV-2. The receiver operator characteristic (ROC) curve was determined for the relationship between LUS score and PCR test results for COVID-19. The optimal threshold for the best discrimination between non-COVID-19 patients and COVID-19 patients was calculated. RESULTS Among 203 patients enrolled (mean age 48 years; 82 males), 8.3% were COVID-19-positive; 4.9% were diagnosed via the initial RT-PCR test. Of the patients diagnosed with SARS-CoV-2, 64.7% required in-hospital management and 17.6% died. The most common ultrasound findings were B lines (19.7%) and a thickened pleura (19.2%). The AUC of the ROC curve of the relationship of LUS score with a cutoff value >8 versus RT-PCR test for the assessment of SARS-CoV-2 pneumonia was 0.75 (95% CI 0.61-0.89; sensitivity 52.9%; specificity 91%; LR (+) 6.15, LR (-) 0.51). CONCLUSION The LUS score in surgical patients is not a useful tool for screening patients with potential COVID-19 infection. LUS score shows a high specificity with a cut-off value of 8.
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Affiliation(s)
| | | | - Julian Chica
- Clinical Research Center, Centro de Investigaciones ClínicasFundación Valle del LiliCaliColombia
| | | | | | | | - Tatiana Morell
- Department of Emergency MedicineFundación Valle del LiliCaliColombia
| | | | | | - Mauricio Umaña
- Department of Emergency MedicineFundación Valle del LiliCaliColombia
| | | | - Sandra Carvajal
- Department of Emergency MedicineFundación Valle del LiliCaliColombia
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24
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Tortola D, Magnani E, Giorgini E, Zani MC, Pazzaglini C, Sambo P, Montaguti L. Managing Complexity: The Experience of an Italian Internal Medicine Unit During the SARS-CoV-2 Pandemic, Looking to the Future. SN COMPREHENSIVE CLINICAL MEDICINE 2022; 4:233. [PMID: 36320815 PMCID: PMC9610320 DOI: 10.1007/s42399-022-01320-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/19/2022] [Indexed: 12/28/2022]
Abstract
The impact of COVID-19 pandemic put the Italian health system into a test. In the period between September 2020 and June 2021, a weekly average of 114 SARS-CoV-2 infections were recorded in Forlì-Cesena province (north of Italy), with a maximum of 330 cases per week in March 2021; in the same months, the Internal Medicine Unit of Cesena M. Bufalini Hospital managed 954 COVID-19 patients. To allow the management of these patients, the ward was divided into areas at different intensity of care, with a maximum of 39-47 beds and 19-24 in ordinary and sub-intensive area, respectively. Patients had an average age of 66 years, and 62% of the total was female; prevalent comorbidities were arterial hypertension (53%), smoking habit (28.7%), obesity (27.9%), uncomplicated (10%), and complicated diabetes (9%). On the total, 339 patients were hospitalized in sub-intensive area, subjected to non-invasive ventilatory support. Hospitalization lasted about 7 days in the ordinary ward and 13 days in the sub-intensive area. One hundred six patients died. In the considered period, the mean percentage of deaths compared to hospitalizations in Italy was equal to 22.21%; in our experience, the overall mortality rate was 11%. Our organizational model, which included different intensity areas in the same ward and various specialist skills, as the ability to manage non-invasive ventilation and bedside ultrasound, allowed flexible management of the "complex" COVID patient. Even the mortality rate may be the result of this model. These features mark what modern Internal Medicine should be like.
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Affiliation(s)
- Daniela Tortola
- Internal Medicine Unit, Cesena M. Bufalini Hospital, AUSL Della Romagna: Azienda Unità Sanitaria Della Romagna, Cesena, Italy
| | - Elena Magnani
- Internal Medicine Unit, Cesena M. Bufalini Hospital, AUSL Della Romagna: Azienda Unità Sanitaria Della Romagna, Cesena, Italy
| | - Enrico Giorgini
- Internal Medicine Unit, Cesena M. Bufalini Hospital, AUSL Della Romagna: Azienda Unità Sanitaria Della Romagna, Cesena, Italy
| | - Maria Cristina Zani
- Internal Medicine Unit, Cesena M. Bufalini Hospital, AUSL Della Romagna: Azienda Unità Sanitaria Della Romagna, Cesena, Italy
| | - Chiara Pazzaglini
- Internal Medicine Unit, Cesena M. Bufalini Hospital, AUSL Della Romagna: Azienda Unità Sanitaria Della Romagna, Cesena, Italy
| | - Paola Sambo
- Internal Medicine Unit, Cesena M. Bufalini Hospital, AUSL Della Romagna: Azienda Unità Sanitaria Della Romagna, Cesena, Italy
| | - Luca Montaguti
- Internal Medicine Unit, Cesena M. Bufalini Hospital, AUSL Della Romagna: Azienda Unità Sanitaria Della Romagna, Cesena, Italy
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25
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Demi L, Mento F, Di Sabatino A, Fiengo A, Sabatini U, Macioce VN, Robol M, Tursi F, Sofia C, Di Cienzo C, Smargiassi A, Inchingolo R, Perrone T. Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based Approach. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2022; 41:2203-2215. [PMID: 34859905 PMCID: PMC9015439 DOI: 10.1002/jum.15902] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 10/22/2021] [Accepted: 11/19/2021] [Indexed: 05/18/2023]
Abstract
OBJECTIVES Worldwide, lung ultrasound (LUS) was utilized to assess coronavirus disease 2019 (COVID-19) patients. Often, imaging protocols were however defined arbitrarily and not following an evidence-based approach. Moreover, extensive studies on LUS in post-COVID-19 patients are currently lacking. This study analyses the impact of different LUS imaging protocols on the evaluation of COVID-19 and post-COVID-19 LUS data. METHODS LUS data from 220 patients were collected, 100 COVID-19 positive and 120 post-COVID-19. A validated and standardized imaging protocol based on 14 scanning areas and a 4-level scoring system was implemented. We utilized this dataset to compare the capability of 5 imaging protocols, respectively based on 4, 8, 10, 12, and 14 scanning areas, to intercept the most important LUS findings. This to evaluate the optimal trade-off between a time-efficient imaging protocol and an accurate LUS examination. We also performed a longitudinal study, aimed at investigating how to eventually simplify the protocol during follow-up. Additionally, we present results on the agreement between AI models and LUS experts with respect to LUS data evaluation. RESULTS A 12-areas protocol emerges as the optimal trade-off, for both COVID-19 and post-COVID-19 patients. For what concerns follow-up studies, it appears not to be possible to reduce the number of scanning areas. Finally, COVID-19 and post-COVID-19 LUS data seem to show differences capable to confuse AI models that were not trained on post-COVID-19 data, supporting the hypothesis of the existence of LUS patterns specific to post-COVID-19 patients. CONCLUSIONS A 12-areas acquisition protocol is recommended for both COVID-19 and post-COVID-19 patients, also during follow-up.
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Affiliation(s)
- Libertario Demi
- Department of Information Engineering and Computer ScienceUniversity of TrentoTrentoItaly
| | - Federico Mento
- Department of Information Engineering and Computer ScienceUniversity of TrentoTrentoItaly
| | - Antonio Di Sabatino
- Department of Internal Medicine, IRCCS San Matteo Hospital FoundationUniversity of PaviaPaviaItaly
| | - Anna Fiengo
- Department of Internal Medicine, IRCCS San Matteo Hospital FoundationUniversity of PaviaPaviaItaly
| | - Umberto Sabatini
- Department of Internal Medicine, IRCCS San Matteo Hospital FoundationUniversity of PaviaPaviaItaly
| | | | - Marco Robol
- Department of Information Engineering and Computer ScienceUniversity of TrentoTrentoItaly
| | | | - Carmelo Sofia
- Pulmonary Medicine Unit, Department of Medical and Surgical SciencesFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
| | - Chiara Di Cienzo
- Pulmonary Medicine Unit, Department of Medical and Surgical SciencesFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
| | - Andrea Smargiassi
- Pulmonary Medicine Unit, Department of Medical and Surgical SciencesFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
| | - Riccardo Inchingolo
- Pulmonary Medicine Unit, Department of Medical and Surgical SciencesFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
| | - Tiziano Perrone
- Department of Internal Medicine, IRCCS San Matteo Hospital FoundationUniversity of PaviaPaviaItaly
- Emergency DepartmentHumanitas GavazzeniBergamoItaly
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26
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Sonaglioni A, Lombardo M, Albini A, Noonan DM, Re M, Cassandro R, Elia D, Caminati A, Nicolosi GL, Harari S. Charlson comorbidity index, neutrophil-to-lymphocyte ratio and undertreatment with renin-angiotensin-aldosterone system inhibitors predict in-hospital mortality of hospitalized COVID-19 patients during the omicron dominant period. Front Immunol 2022; 13:958418. [PMID: 36090992 PMCID: PMC9453812 DOI: 10.3389/fimmu.2022.958418] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 08/04/2022] [Indexed: 11/24/2022] Open
Abstract
Purpose To investigate the clinical predictors of in-hospital mortality in hospitalized patients with Coronavirus disease 2019 (COVID-19) infection during the Omicron period. Methods All consecutive hospitalized laboratory‐confirmed COVID-19 patients between January and May 2022 were retrospectively analyzed. All patients underwent accurate physical, laboratory, radiographic and echocardiographic examination. Primary endpoint was in-hospital mortality. Results 74 consecutive COVID-19 patients (80.0 ± 12.6 yrs, 45.9% males) were included. Patients who died during hospitalization (27%) and those who were discharged alive (73%) were separately analyzed. Compared to patients discharged alive, those who died were significantly older, with higher comorbidity burden and greater prevalence of laboratory, radiographic and echographic signs of pulmonary and systemic congestion. Charlson comorbidity index (CCI) (OR 1.76, 95%CI 1.07-2.92), neutrophil-to-lymphocyte ratio (NLR) (OR 1.24, 95%CI 1.10-1.39) and absence of angiotensin-converting enzyme inhibitors (ACEI)/angiotensin II receptor blockers (ARBs) therapy (OR 0.01, 95%CI 0.00-0.22) independently predicted the primary endpoint. CCI ≥7 and NLR ≥9 were the best cut-off values for predicting mortality. The mortality risk for patients with CCI ≥7, NLR ≥9 and not in ACEI/ARBs therapy was high (86%); for patients with CCI <7, NLR ≥9, with (16.6%) or without (25%) ACEI/ARBs therapy was intermediate; for patients with CCI <7, NLR <9 and in ACEI/ARBs therapy was of 0%. Conclusions High comorbidity burden, high levels of NLR and the undertreatment with ACEI/ARBs were the main prognostic indicators of in-hospital mortality. The risk stratification of COVID-19 patients at hospital admission would help the clinicians to take care of the high-risk patients and reduce the mortality.
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Affiliation(s)
- Andrea Sonaglioni
- Division of Cardiology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Michele Lombardo
- Division of Cardiology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Adriana Albini
- European Institute of Oncology (IEO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
- *Correspondence: Adriana Albini,
| | - Douglas M. Noonan
- Immunology and General Pathology Laboratory, Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
- Unit of Molecular Pathology, Immunology and Biochemistry, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Margherita Re
- Division of Internal Medicine, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Roberto Cassandro
- Division of Pneumology, Semi Intensive Care Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Davide Elia
- Division of Pneumology, Semi Intensive Care Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Antonella Caminati
- Division of Pneumology, Semi Intensive Care Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | | | - Sergio Harari
- Division of Pneumology, Semi Intensive Care Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
- Department of Clinical Sciences and Community Health, Università Di Milano, Milan, Italy
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González-Brabin A, Cabrero-Hernández M, García-Salido A, Leoz-Gordillo I, Iglesias-Bouzas MI, Nieto-Moro M. [Use of thoracic ultrasound in the assessment and follow-up of seriously ill children due to pediatric inflammatory multisystemic syndrome: Observational prospective study]. Med Intensiva 2022; 46:477-480. [PMID: 34658473 PMCID: PMC8502041 DOI: 10.1016/j.medin.2021.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- A González-Brabin
- Unidad de Cuidados Intensivos Pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, España
| | - M Cabrero-Hernández
- Unidad de Cuidados Intensivos Pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, España
| | - A García-Salido
- Unidad de Cuidados Intensivos Pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, España
| | - I Leoz-Gordillo
- Unidad de Cuidados Intensivos Pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, España
| | - M I Iglesias-Bouzas
- Unidad de Cuidados Intensivos Pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, España
| | - M Nieto-Moro
- Unidad de Cuidados Intensivos Pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, España
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28
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González-Brabin A, Cabrero-Hernández M, García-Salido A, Leoz-Gordillo I, Iglesias-Bouzas MI, Nieto-Moro M. Use of thoracic ultrasound in the assessment and follow-up of seriously ill children due to pediatric inflammatory multisystemic syndrome: Observational prospective study. Med Intensiva 2022; 46:477-480. [PMID: 35729013 PMCID: PMC9212977 DOI: 10.1016/j.medine.2022.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 08/23/2021] [Accepted: 08/30/2021] [Indexed: 11/24/2022]
Affiliation(s)
- A González-Brabin
- Unidad de Cuidados Intensivos pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, Spain.
| | - M Cabrero-Hernández
- Unidad de Cuidados Intensivos pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, Spain
| | - A García-Salido
- Unidad de Cuidados Intensivos pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, Spain
| | - I Leoz-Gordillo
- Unidad de Cuidados Intensivos pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, Spain
| | - M I Iglesias-Bouzas
- Unidad de Cuidados Intensivos pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, Spain
| | - M Nieto-Moro
- Unidad de Cuidados Intensivos pediátricos, Hospital Infantil Universitario Niño Jesús, Madrid, Spain
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Pandey SK, Mohanta GC, Kumar V, Gupta K. Diagnostic Tools for Rapid Screening and Detection of SARS-CoV-2 Infection. Vaccines (Basel) 2022; 10:1200. [PMID: 36016088 PMCID: PMC9414050 DOI: 10.3390/vaccines10081200] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/19/2022] [Accepted: 07/25/2022] [Indexed: 12/11/2022] Open
Abstract
The novel coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has severely impacted human health and the health management system globally. The ongoing pandemic has required the development of more effective diagnostic strategies for restricting deadly disease. For appropriate disease management, accurate and rapid screening and isolation of the affected population is an efficient means of containment and the decimation of the disease. Therefore, considerable efforts are being directed toward the development of rapid and robust diagnostic techniques for respiratory infections, including SARS-CoV-2. In this article, we have summarized the origin, transmission, and various diagnostic techniques utilized for the detection of the SARS-CoV-2 virus. These higher-end techniques can also detect the virus copy number in asymptomatic samples. Furthermore, emerging rapid, cost-effective, and point-of-care diagnostic devices capable of large-scale population screening for COVID-19 are discussed. Finally, some breakthrough developments based on spectroscopic diagnosis that could revolutionize the field of rapid diagnosis are discussed.
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Affiliation(s)
- Satish Kumar Pandey
- Department of Biotechnology, School of Life Sciences, Mizoram University (Central University), Aizawl 796004, India
| | - Girish C. Mohanta
- Materials Science and Sensor Applications, CSIR-Central Scientific Instruments Organisation (CSIR-CSIO), Chandigarh 160030, India;
| | - Vinod Kumar
- Department of Dermatology, Venerology and Leprology, Post Graduate Institute of Medical Education & Research, Chandigarh 160012, India;
| | - Kuldeep Gupta
- Russel H. Morgan, Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
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30
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Follow-up lung ultrasound to monitor lung failure in COVID-19 ICU patients. PLoS One 2022; 17:e0271411. [PMID: 35834575 PMCID: PMC9282475 DOI: 10.1371/journal.pone.0271411] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 06/29/2022] [Indexed: 11/19/2022] Open
Abstract
Objectives
Point-of-care lung ultrasound (LU) is an established tool in the first assessment of patients with coronavirus disease (COVID-19). To assess the progression or regression of respiratory failure in critically ill patients with COVID-19 on Intensive Care Unit (ICU) by using LU.
Materials and methods
We analyzed all patients admitted to Internal Intensive Care Unit, Ludwig-Maximilians-University (LMU) of Munich, from March 2020 to December 2020 suffering lung failure caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). LU was performed according to a standardized protocol at baseline and at follow up every other day for the first 15 days using a lung ultrasound score (LUSS). Ventilation data were collected simultaneously.
Results
Our study included 42 patients. At admission to ICU, 19 of them (45%) were mechanically ventilated. Of the non-invasive ventilated ones (n = 23, 55%), eleven patients required invasive ventilation over the course. While LUS did not differ at admission to ICU between the invasive ventilated ones (at baseline or during ICU stay) compared to the non-invasive ventilated ones (12±4 vs 11±2 points, p = 0.2497), LUS was significantly lower at d7 for those, who had no need for invasive ventilation over the course (13±5 vs 7±4 points, p = 0.0046). Median time of invasive ventilation counted 18 days; the 90-day mortality was 24% (n = 10) in our cohort. In case of increasing LUS between day 1 (d1) and day 7 (d7), 92% (n = 12/13) required invasive ventilation, while it was 57% (n = 10/17) in case of decreasing LUS. At d7 we found significant correlation between LU and FiO2 (Pearson 0.591; p = 0.033), p/F ratio (Pearson -0.723; p = 0.005), PEEP (Pearson 0.495; p = 0.043), pplat (Pearson 0.617; p = 0.008) and compliance (Pearson -0.572; p = 0.016).
Conclusion
LUS can be a useful tool in monitoring of progression and regression of respiratory failure and in indicating intubation in patients with COVID-19 in the ICU.
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Tung-Chen Y, Gil-Rodrigo A, Algora-Martín A, Llamas-Fuentes R, Rodríguez-Fuertes P, Marín-Baselga R, Alonso-Martínez B, Sanz Rodríguez E, Llorens Soriano P, Ramos-Rincón JM. The lung ultrasound "Rule of 7" in the prognosis of COVID-19 patients: Results from a prospective multicentric study. MEDICINA CLINICA (ENGLISH ED.) 2022; 159:19-26. [PMID: 35814790 PMCID: PMC9254652 DOI: 10.1016/j.medcle.2021.07.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 07/27/2021] [Indexed: 01/31/2023]
Abstract
Purpose There is growing evidence regarding the imaging findings of coronavirus disease 2019 (COVID-19) in lung ultrasound (LUS), however the use of a combined prognostic and triage tool has yet to be explored.To determine the impact of the LUS in the prediction of the mortality of patients with highly suspected or confirmed COVID-19.The secondary outcome was to calculate a score with LUS findings with other variables to predict hospital admission and emergency department (ED) discharge. Material and methods Prospective study performed in the ED of three academic hospitals. Patients with highly suspected or confirmed COVID-19 underwent a LUS examination and laboratory tests. Results A total of 228 patients were enrolled between March and September 2020. The mean age was 61.9 years (Standard Deviation - SD 21.1). The most common findings in LUS was a right posteroinferior isolated irregular pleural line (53.9%, 123 patients). A logistic regression model was calculated, including age over 70 years, C-reactive protein (CRP) over 70 mg/L and a lung score over 7 to predict mortality, hospital admission and discharge from the ED. We obtained a predictive model with a sensitivity of 56.8% and a specificity of 87.6%, with an AUC of 0.813 [p < 0.001]. Conclusions The combination of LUS, clinical and laboratory findings in this easy to apply "rule of 7" showed excellent performance to predict hospital admission and mortality.
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Affiliation(s)
- Yale Tung-Chen
- Internal Medicine Department, University Hospital Puerta de Hierro, Majadahonda, Madrid, Spain
- Medicine Department, Alfonso X El Sabio University, Madrid, Spain
| | - Adriana Gil-Rodrigo
- Emergency Department, Alicante General University Hospital-ISABIAL, Alicante, Spain
| | | | | | | | | | | | | | - Pere Llorens Soriano
- Emergency Department, Alicante General University Hospital-ISABIAL, Alicante, Spain
- Clinical Medicine Department, Miguel Hernández University, Elche, Alicante, Spain
| | - José-Manuel Ramos-Rincón
- Clinical Medicine Department, Miguel Hernández University, Elche, Alicante, Spain
- Internal Medicine Department, Alicante General University Hospital-ISABIAL, Alicante, Spain
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Pare JR, Gjesteby LA, Telfer BA, Tonelli MM, Leo MM, Billatos E, Scalera J, Brattain LJ. Transfer Learning for Automated COVID-19 B-Line Classification in Lung Ultrasound. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2022; 2022:1675-1681. [PMID: 36086232 DOI: 10.1109/embc48229.2022.9871894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Lung ultrasound (LUS) as a diagnostic tool is gaining support for its role in the diagnosis and management of COVID-19 and a number of other lung pathologies. B-lines are a predominant feature in COVID-19, however LUS requires a skilled clinician to interpret findings. To facilitate the interpretation, our main objective was to develop automated methods to classify B-lines as pathologic vs. normal. We developed transfer learning models based on ResNet networks to classify B-lines as pathologic (at least 3 B-lines per lung field) vs. normal using COVID-19 LUS data. Assessment of B-line severity on a 0-4 multi-class scale was also explored. For binary B-line classification, at the frame-level, all ResNet models pretrained with ImageNet yielded higher performance than the baseline nonpretrained ResNet-18. Pretrained ResNet-18 has the best Equal Error Rate (EER) of 9.1% vs the baseline of 11.9%. At the clip-level, all pretrained network models resulted in better Cohen's kappa agreement (linear-weighted) and clip score accuracy, with the pretrained ResNet-18 having the best Cohen's kappa of 0.815 [95% CI: 0.804-0.826], and ResNet-101 the best clip scoring accuracy of 93.6%. Similar results were shown for multi-class scoring, where pretrained network models outperformed the baseline model. A class activation map is also presented to guide clinicians in interpreting LUS findings. Future work aims to further improve the multi-class assessment for severity of B-lines with a more diverse LUS dataset.
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33
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ACAR H, YAMANOĞLU A, ARIKAN C, BİLGİN S, AKYOL PY, KAYALI A, KARAKAYA Z. COVID-19 triajında CLUE protokolünün etkinliği. CUKUROVA MEDICAL JOURNAL 2022. [DOI: 10.17826/cumj.1086062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Purpose: The purpose of this study was to evaluate the effectiveness of the CLUE protocol in COVID-19 triage.
Materials and Methods: Patients who presented to the emergency department due to dyspnea with oxygen saturation below 95 % and were diagnosed with COVID-19 by reverse transcription polymerase chain reaction (RT-PCR) tests were included in this prospective, observational study. Patients included in the study underwent lung ultrasound (LUS) in the light of the CLUE protocol, and were accordingly given LUS scores of between 0 and 36, also within the scope of the protocol. Patients were placed under observation, and clinical outcomes of discharge from the emergency department, admission to the ward, and admission to intensive care or discharge were recorded. ROC analysis was applied in the calculation of threshold values for LUS scores predicting discharge, admission to intensive care, and mortality.
Results: Forty-five patients with a mean age of 63 ± 18 years were included in the study. Fifteen patients (33 %) were treated on an outpatient basis and discharged, while 12 (27 %) were admitted to the ward and 18 (40 %) to the intensive care unit. Mortality occurred in 15 (33 %) patients. An LUS score lower than 3 was 97 % sensitive and 80 % specific for discharge, a score greater than 10 was 94 % sensitive and 78 % specific for admission to the intensive care unit, and a score higher than 11 was 93 % sensitive and 87 % specific for mortality. Based on regression analysis, an LUS score higher than 10 emerged as an independent risk factor for intensive care requirement, a score lower than 3 for discharge, and a score over 11 for mortality.
Conclusion: The CLUE protocol may be a useful bedside test in COVID-19 triage, and one that does not involve radiation or require laboratory tests.
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Affiliation(s)
| | - Adnan YAMANOĞLU
- İzmir Katip Çelebi Üniversitesi, Atatürk Eğitim ve Araştırma Hastanesi
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González-Suárez S, Barbara Ferreras A, Caicedo Toro M, Aznar de Legarra M. Detection of residual pulmonary alterations with lung ultrasound and effects on postoperative pulmonary complications for patients with asymptomatic SARS-CoV-2 infection undergoing surgeries. BMC Anesthesiol 2022; 22:186. [PMID: 35710326 PMCID: PMC9200944 DOI: 10.1186/s12871-022-01715-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 05/27/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND For patients with a clinical course of active SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infection, there may be a higher risk of perioperative complications. Our main objective is to detect the residual pulmonary alterations in asymptomatic patients after SARS-CoV-2 infection undergoing surgery and determine their relationship with the clinical course of SARS-CoV-2 infection. The secondary aim is to investigate whether the presence of residual pulmonary alterations have any affects on the severity of postoperative pulmonary complications. METHODS After approval by the Hospital's Ethical Committee, this prospective observational study included consecutive patients (n=103) undergoing various surgical procedures and anesthetic techniques with a history of past SARS-CoV-2 infection. On the day of surgery these patients remained asymptomatic and the polymerase chain reaction (PCR) test for SARS-CoV-2 was negative. The history, physical findings, and clinical course of SARS-CoV-2 infection were recorded. Lung ultrasound was performed before surgery to evaluate the possible residual pulmonary alterations (≥ 3 B-lines and pleural thickening), along with determitation of pulmonary static compliance values during surgery. Postoperative pulmonary complications were collected during hospital stay. RESULTS 24.27% (n=25) patients presented ≥ 3 B-lines, and 28% (n=29) patients presented pleural thickening. For 15 patients (21.7%) the pulmonary compliance was < 40 mL/cm H2O. Patients with pleural thickening had a higher incidence of pneumonia, acute respiratory syndrome distress, a need for vasoactive drugs and required more days of hospitalization during SARS-CoV-2 infection (p= 0.004, 0.001, 0.03, 0.00 respectively). Patients with ≥ 3 B-lines needed more days in an intensive care unit and vasoactive drugs during SARS-CoV2 infection (p= 0.04, 0.004 respectively). Postoperative pulmonary complications were observed in 5.8% (n=6) of the patients, and were more frequent in the presence of both, ≥ 3 B-lines and pleural thickening (p= 0.01). CONCLUSIONS In asymptomatic post-COVID-19 patients, pathological findings detected by lung ultrasound before surgery are associated with the severity of the SARS-CoV2 infection and resulted in more postoperative pulmonary complications. In these patients, the incidence of postoperative pulmonary complications appears similar to that described in the surgical population before the pandemic. TRIAL REGISTRATION clinicaltrials.gov (NCT04922931). June 21, 2021. "Retrospectively registered".
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Affiliation(s)
- Susana González-Suárez
- Department of Anesthesiology, Hospital Universitari Vall d'Hebron, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain. .,Universitat Autònoma de Barcelona, UAB, Barcelona, Spain.
| | - Antonio Barbara Ferreras
- Department of Anesthesiology, Hospital Universitari Vall d'Hebron, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain
| | - Melissa Caicedo Toro
- Department of Anesthesiology, Hospital Universitari Vall d'Hebron, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain
| | - Macarena Aznar de Legarra
- Department of Anesthesiology, Hospital Universitari Vall d'Hebron, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain
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De Lorenzo R, Montagna M, Bossi E, Vitali G, Taino A, Cilla M, Pata G, Lazorova L, Pesenti R, Pomaranzi C, Bussolari C, Martinenghi S, Bordonaro N, Di Napoli D, Rizzardini G, Cogliati C, Morici N, Rovere-Querini P. A Pilot Study of the Efficacy and Economical Sustainability of Acute Coronavirus Disease 2019 Patient Management in an Outpatient Setting. Front Med (Lausanne) 2022; 9:892962. [PMID: 35572976 PMCID: PMC9092828 DOI: 10.3389/fmed.2022.892962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 04/05/2022] [Indexed: 11/13/2022] Open
Abstract
Objective To report a preliminary experience of outpatient management of patients with Coronavirus disease 2019 (COVID-19) through an innovative approach of healthcare delivery. Patients and Methods Patients evaluated at the Mild-to-Moderate COVID-19 Outpatient clinics (MMCOs) of San Raffaele University Hospital and Luigi Sacco University Hospital in Milan, Italy, from 1 October 2020 to 31 October 2021 were included. Patients were referred by general practitioners (GPs), Emergency Department (ED) physicians or hospital specialists (HS) in case of moderate COVID-19. A classification and regression tree (CART) model predicting ED referral by MMCO physicians was developed to aid GPs identify those deserving immediate ED admission. Cost-effectiveness analysis was also performed. Results A total of 660 patients were included. The majority (70%) was referred by GPs, 21% by the ED and 9% by HS. Patients referred by GPs had more severe disease as assessed by peripheral oxygen saturation (SpO2), ratio of arterial oxygen partial pressure to fractional inspired oxygen (PaO2/FiO2), C-reactive protein (CRP) levels and interstitial involvement at lung ultrasound. Among them, 18% were addressed to the ED following MMCO assessment. CART analysis identified three independent predictors, namely home-measured SpO2, age and body mass index (BMI), that robustly divide patients into risk groups of COVID-19 severity. Home-measured SpO2 < 95% and BMI ≥ 33 Kg/m2 defined the high-risk group. The model yielded an accuracy (95% CI) of 83 (77-88)%. Outpatient management of COVID-19 patients allowed the national healthcare system to spare 1,490,422.05 € when compared with inpatient care. Conclusion Mild-to-moderate COVID-19 outpatient clinics were effective and sustainable in managing COVID-19 patients and allowed to alleviate pressure on EDs and hospital wards, favoring effort redirection toward non-COVID-19 patients.
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Affiliation(s)
- Rebecca De Lorenzo
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.,Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
| | - Marco Montagna
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.,Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
| | - Eleonora Bossi
- Clinical Governance Division, San Raffaele Hospital, Milan, Italy
| | - Giordano Vitali
- Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
| | - Alba Taino
- Unit of Internal Medicine, Luigi Sacco Hospital, Azienda Socio Sanitaria Territoriale - Fatebenefratelli (ASST-FBF)-Sacco, Milan, Italy
| | - Marta Cilla
- Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
| | - Giulia Pata
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.,Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
| | - Ludmilla Lazorova
- Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
| | - Riccardo Pesenti
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy
| | - Chiara Pomaranzi
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.,Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
| | - Cecilia Bussolari
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.,Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
| | - Sabina Martinenghi
- Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
| | - Nicoletta Bordonaro
- Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
| | - Davide Di Napoli
- Clinical Governance Division, San Raffaele Hospital, Milan, Italy
| | - Giuliano Rizzardini
- Unit of Infectious Diseases, Luigi Sacco Hospital, Azienda Socio Sanitaria Territoriale - Fatebenefratelli (ASST-FBF)-Sacco, Milan, Italy
| | - Chiara Cogliati
- Unit of Internal Medicine, Luigi Sacco Hospital, Azienda Socio Sanitaria Territoriale - Fatebenefratelli (ASST-FBF)-Sacco, Milan, Italy
| | - Nuccia Morici
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) S. Maria Nascente - Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Patrizia Rovere-Querini
- School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.,Unit of Hospital-Primary Care Embedding, San Raffaele Hospital, Milan, Italy
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Ippolito D, Vernuccio F, Maino C, Cannella R, Giandola T, Ragusi M, Bigiogera V, Capodaglio C, Sironi S. Multiorgan Involvement in SARS-CoV-2 Infection: The Role of the Radiologist from Head to Toe. Diagnostics (Basel) 2022; 12:1188. [PMID: 35626344 PMCID: PMC9140872 DOI: 10.3390/diagnostics12051188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/29/2022] [Accepted: 05/05/2022] [Indexed: 01/08/2023] Open
Abstract
Radiology plays a crucial role for the diagnosis and management of COVID-19 patients during the different stages of the disease, allowing for early detection of manifestations and complications of COVID-19 in the different organs. Lungs are the most common organs involved by SARS-CoV-2 and chest computed tomography (CT) represents a reliable imaging-based tool in acute, subacute, and chronic settings for diagnosis, prognosis, and management of lung disease and the evaluation of acute and chronic complications. Cardiac involvement can be evaluated by using cardiac computed tomography angiography (CCTA), considered as the best choice to solve the differential diagnosis between the most common cardiac conditions: acute coronary syndrome, myocarditis, and cardiac dysrhythmia. By using compressive ultrasound it's possible to study the peripheral arteries and veins and to exclude the deep vein thrombosis, directly linked to the onset of pulmonary embolism. Moreover, CT and especially MRI can help to evaluate the gastrointestinal involvement and assess hepatic function, pancreas involvement, and exclude causes of lymphocytopenia, thrombocytopenia, and leukopenia, typical of COVID-19 patients. Finally, radiology plays a crucial role in the early identification of renal damage in COVID-19 patients, by using both CT and US. This narrative review aims to provide a comprehensive radiological analysis of commonly involved organs in patients with COVID-19 disease.
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Affiliation(s)
- Davide Ippolito
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy;
| | - Federica Vernuccio
- Department of Radiology, University Hospital of Padova, Via Nicolò Giustiniani, 2, 35128 Padova, PD, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
| | - Roberto Cannella
- Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Via del Vespro, 129, 90127 Palermo, PA, Italy;
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Via del Vespro, 129, 90127 Palermo, PA, Italy
| | - Teresa Giandola
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
| | - Maria Ragusi
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
| | - Vittorio Bigiogera
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy;
| | - Carlo Capodaglio
- Department of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (D.I.); (C.M.); (T.G.); (M.R.); (V.B.); (C.C.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy;
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy;
- Department of Diagnostic Radiology, H Papa Giovanni XXIII, Piazza OMS 1, 24127 Bergamo, BG, Italy
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Boccatonda A, Grignaschi A, Lanotte AMG, Cocco G, Vidili G, Giostra F, Schiavone C. Role of Lung Ultrasound in the Management of Patients with Suspected SARS-CoV-2 Infection in the Emergency Department. J Clin Med 2022; 11:jcm11082067. [PMID: 35456160 PMCID: PMC9025104 DOI: 10.3390/jcm11082067] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 03/21/2022] [Accepted: 04/02/2022] [Indexed: 01/27/2023] Open
Abstract
Background: The lung ultrasound (LUS) score has been proposed as an optimal scheme for the ultrasound study of patients with suspected/confirmed COVID-19 pneumonia. The aims of our study were to evaluate the use of lung ultrasound as a diagnostic tool for diagnosing SARS-CoV-2 pneumonia, to examine the validity of the LUS score for the diagnosis of COVID-19 pneumonia, and to correlate this score with hospitalization rate and 30-day mortality. Materials and Methods: A retrospective analysis was performed on 1460 patients who were referred to the General Emergency Department of the S. Orsola-Malpighi Hospital from April 2020 to May 2020 for symptoms suspected to indicate SARS-CoV-2 infection. The ultrasound examination was based on a common execution scheme called the LUS score, as previously described. Results and Conclusions: The LUS score was found to correlate with the degree of clinical severity and respiratory failure (paO2/FiO2 ratio and the alveolar−arterial gradient increase than expected for age). It was shown that COVID-19 patients with an LUS score of >7 require the use of oxygen support, and a value of >10 is associated with an increased risk of oro-tracheal intubation. The LUS score was found to present higher values in hospitalized patients, increasing according to the degree of care intensity. Patients who died from COVID-19 were characterized by a mean LUS score of 11 at presentation to the emergency department. An LUS score of >7.5 was found to indicate a sensitivity of 83% and a specificity of 89% for 30-day mortality in COVID-19 patients. The use of LUS seems to be an optimal first level method for pneumonia detection and risk stratification in patients with suspected SARS-CoV-2 infection.
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Affiliation(s)
- Andrea Boccatonda
- Emergency Department, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy; (A.G.); (A.M.G.L.); (F.G.)
- Correspondence: ; Tel.: +39-051-214-3324; Fax: +39-051-214-3349
| | - Alice Grignaschi
- Emergency Department, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy; (A.G.); (A.M.G.L.); (F.G.)
| | - Antonella Maria Grazia Lanotte
- Emergency Department, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy; (A.G.); (A.M.G.L.); (F.G.)
| | - Giulio Cocco
- Internal Medicine, G. d’Annunzio University, 66100 Chieti, Italy; (G.C.); (C.S.)
| | - Gianpaolo Vidili
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy;
| | - Fabrizio Giostra
- Emergency Department, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy; (A.G.); (A.M.G.L.); (F.G.)
| | - Cosima Schiavone
- Internal Medicine, G. d’Annunzio University, 66100 Chieti, Italy; (G.C.); (C.S.)
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Pelosi P, Tonelli R, Torregiani C, Baratella E, Confalonieri M, Battaglini D, Marchioni A, Confalonieri P, Clini E, Salton F, Ruaro B. Different Methods to Improve the Monitoring of Noninvasive Respiratory Support of Patients with Severe Pneumonia/ARDS Due to COVID-19: An Update. J Clin Med 2022; 11:1704. [PMID: 35330029 PMCID: PMC8952765 DOI: 10.3390/jcm11061704] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/13/2022] [Accepted: 03/16/2022] [Indexed: 02/07/2023] Open
Abstract
The latest guidelines for the hospital care of patients affected by coronavirus disease 2019 (COVID-19)-related acute respiratory failure have moved towards the widely accepted use of noninvasive respiratory support (NIRS) as opposed to early intubation at the pandemic onset. The establishment of severe COVID-19 pneumonia goes through different pathophysiological phases that partially resemble typical acute respiratory distress syndrome (ARDS) and have been categorized into different clinical-radiological phenotypes. These can variably benefit on the application of external positive end-expiratory pressure (PEEP) during noninvasive mechanical ventilation, mainly due to variable levels of lung recruitment ability and lung compliance during different phases of the disease. A growing body of evidence suggests that intense respiratory effort producing excessive negative pleural pressure swings (Ppl) plays a critical role in the onset and progression of lung and diaphragm damage in patients treated with noninvasive respiratory support. Routine respiratory monitoring is mandatory to avoid the nasty continuation of NIRS in patients who are at higher risk for respiratory deterioration and could benefit from early initiation of invasive mechanical ventilation instead. Here we propose different monitoring methods both in the clinical and experimental settings adapted for this purpose, although further research is required to allow their extensive application in clinical practice. We reviewed the needs and available tools for clinical-physiological monitoring that aims at optimizing the ventilatory management of patients affected by acute respiratory distress syndrome due to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection.
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Affiliation(s)
- Paolo Pelosi
- Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neurosciences, 16132 Genoa, Italy; (P.P.); (D.B.)
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, 16132 Genoa, Italy
| | - Roberto Tonelli
- Respiratory Diseases Unit and Center for Rare Lung Disease, Department of Surgical and Medical Sciences SMECHIMAI, University of Modena Reggio Emilia, 41121 Modena, Italy; (R.T.); (A.M.); (E.C.)
- Clinical and Experimental Medicine PhD Program, University of Modena Reggio Emilia, 41121 Modena, Italy
| | - Chiara Torregiani
- Pulmonology Department, Cattinara Hospital, University of Trieste, 34127 Trieste, Italy; (C.T.); (M.C.); (P.C.); (F.S.)
| | - Elisa Baratella
- Department of Radiology, Cattinara Hospital, University of Trieste, 34127 Trieste, Italy;
| | - Marco Confalonieri
- Pulmonology Department, Cattinara Hospital, University of Trieste, 34127 Trieste, Italy; (C.T.); (M.C.); (P.C.); (F.S.)
| | - Denise Battaglini
- Anesthesia and Critical Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neurosciences, 16132 Genoa, Italy; (P.P.); (D.B.)
- Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, 16132 Genoa, Italy
| | - Alessandro Marchioni
- Respiratory Diseases Unit and Center for Rare Lung Disease, Department of Surgical and Medical Sciences SMECHIMAI, University of Modena Reggio Emilia, 41121 Modena, Italy; (R.T.); (A.M.); (E.C.)
| | - Paola Confalonieri
- Pulmonology Department, Cattinara Hospital, University of Trieste, 34127 Trieste, Italy; (C.T.); (M.C.); (P.C.); (F.S.)
| | - Enrico Clini
- Respiratory Diseases Unit and Center for Rare Lung Disease, Department of Surgical and Medical Sciences SMECHIMAI, University of Modena Reggio Emilia, 41121 Modena, Italy; (R.T.); (A.M.); (E.C.)
| | - Francesco Salton
- Pulmonology Department, Cattinara Hospital, University of Trieste, 34127 Trieste, Italy; (C.T.); (M.C.); (P.C.); (F.S.)
| | - Barbara Ruaro
- Pulmonology Department, Cattinara Hospital, University of Trieste, 34127 Trieste, Italy; (C.T.); (M.C.); (P.C.); (F.S.)
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Cappa G, Secco G, Nganso A, Ruzga R, Perlini S. The Role of Lung Ultrasound in Low-Resource Settings During the Coronavirus (SARS-CoV-2) Pandemic. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2022; 41:543-545. [PMID: 34028072 PMCID: PMC8242844 DOI: 10.1002/jum.15755] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 05/06/2021] [Indexed: 05/28/2023]
Abstract
Lung ultrasound (LUS) has proven to be a helpful diagnostic tool for evaluating lung involvement in respiratory pathologies. The usage of this imaging technique became even more widespread during the SARS-CoV-2 pandemic. The latest generation ultrasound scanners are conveniently portable and this permits ultrasound examinations to be performed even in extreme environments where no other diagnostic tool is available. Our team has developed the first guide that assists the clinician while operating in low-resource settings, in managing a SARS-CoV-2 patient based on the clinical examination and the LUS findings.
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Affiliation(s)
- Giovanni Cappa
- Emergency Medicine Unit and Emergency Medicine Postgraduate Training Program, IRCCS Policlinico San Matteo University HospitalUniversity of PaviaPavia
| | - Gianmarco Secco
- Emergency Medicine Unit and Emergency Medicine Postgraduate Training Program, IRCCS Policlinico San Matteo University HospitalUniversity of PaviaPavia
| | | | - Ron Ruzga
- Medical GraduateUniversity of PaviaPaviaItaly
| | - Stefano Perlini
- Emergency Medicine Unit and Emergency Medicine Postgraduate Training Program, IRCCS Policlinico San Matteo University HospitalUniversity of PaviaPavia
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Zou Y, Han M, Wang J, Zhao J, Gan H, Yang Y. Predictive value of frailty in the mortality of hospitalized patients with COVID-19: a systematic review and meta-analysis. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:166. [PMID: 35280387 PMCID: PMC8908186 DOI: 10.21037/atm-22-274] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/14/2022] [Indexed: 02/05/2023]
Abstract
Background The present study aimed to analyze the impact of frailty on mortality risk among hospitalized patients with coronavirus disease 2019 (COVID-19). Methods Literature searches were conducted using the MEDLINE, Embase, and Cochrane databases for articles reporting the association between frailty and mortality in hospitalized patients with COVID-19. The quality of the included studies was assessed using the Newcastle-Ottawa scale (NOS). A random-effects meta-analysis was performed to calculate the pooled effects. Results A total of 21 studies with 26,652 hospitalized patients were included. Sixteen studies used the Clinical Frailty Score (CFS), and five used other frailty assessment tools. The pooled estimates of frailty in hospitalized patients with COVID-19 were 51.4% [95% confidence interval (CI): 39.9–62.9%]. In the CFS group, frail patients experienced a higher rate of short-term mortality than non-frail patients [odds ratio (OR) =3.0; 95% CI: 2.3–3.9; I2=72.7%; P<0.001]. In the other tools group, frail patients had a significantly increased short-term mortality risk compared with non-frail patients (OR =2.4; 95% CI: 1.4–4.1; P=0.001). Overall, a higher short-term mortality risk was observed for frail patients than non-frail patients (OR =2.8; 95% CI: 2.3–3.5; P<0.001). In older adults, frail patients had a higher rate of short-term mortality than non-frail patients (OR =2.3; 95% CI: 1.8–2.9; P<0.001). Conclusions Compared to non-frail hospitalized patients with COVID-19, frail patients suffered a higher risk of all-cause mortality, and this result was also found in the older adult group.
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Affiliation(s)
- Yupei Zou
- The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.,National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Maonan Han
- Department of Vascular Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Jiarong Wang
- Department of Vascular Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Jichun Zhao
- Department of Vascular Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Huatian Gan
- The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.,National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Yang
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.,Department of Vascular Surgery, West China Hospital, Sichuan University, Chengdu, China
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Di Meglio L, Carriero S, Biondetti P, Wood BJ, Carrafiello G. Chest imaging in patients with acute respiratory failure because of coronavirus disease 2019. Curr Opin Crit Care 2022; 28:17-24. [PMID: 34864792 PMCID: PMC8711303 DOI: 10.1097/mcc.0000000000000906] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW This review aims to explore the different imaging modalities, such as chest radiography (CXR), computed tomography (CT), ultrasound, PET/CT scan, and MRI to describe the main features for the evaluation of the chest in COVID-19 patients with ARDS. RECENT FINDINGS This article includes a systematic literature search, evidencing the different chest imaging modalities used in patients with ARDS from COVID-19. Literature evidences different possible approaches going from the conventional CXR and CT to the LUS, MRI, and PET/CT. SUMMARY CT is the technique with higher sensitivity and definition for studying chest in COVID-19 patients. LUS or bedside CXR are critical in patients requiring close and repeated monitoring. Moreover, LUS and CXR reduce the radiation burden and the risk of infection compared with CT. PET/CT and MRI, especially in ARDS patients, are not usually used for diagnostic or follow-up purposes.
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Affiliation(s)
- Letizia Di Meglio
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano
| | - Serena Carriero
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano
| | - Pierpaolo Biondetti
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Bradford J. Wood
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Gianpaolo Carrafiello
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
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42
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Bellini MI, Fresilli D, Lauro A, Mennini G, Rossi M, Catalano C, D'Andrea V, Cantisani V. Liver Transplant Imaging prior to and during the COVID-19 Pandemic. BIOMED RESEARCH INTERNATIONAL 2022; 2022:7768383. [PMID: 35036437 PMCID: PMC8753253 DOI: 10.1155/2022/7768383] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 12/23/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND The suspension of the surgical activity, the burden of the infection in immunosuppressed patients, and the comorbidities underlying end-stage organ disease have impacted transplant programs significantly, even life-saving procedures, such as liver transplantation. METHODS A review of the literature was conducted to explore the challenges faced by transplant programs and the adopted strategies to overcome them, with a focus on indications for imaging in liver transplant candidates. RESULTS Liver transplantation relies on an appropriate imaging method for its success. During the Coronavirus Disease 2019 (COVID-19) pandemic, chest CT showed an additional value to detect early signs of SARS-CoV-2 infection and other screening modalities are less accurate than radiology. CONCLUSION There is an emerging recognition of the chest CT value to recommend its use and help COVID-19 detection in patients. This examination appears highly sensitive for liver transplant candidates and recipients, who otherwise would have not undergone it, particularly when asymptomatic.
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Affiliation(s)
| | - Daniele Fresilli
- Department of Radiological, Oncological, Anatomo-Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Augusto Lauro
- Department of Surgical Sciences, Sapienza University of Rome, Rome, Italy
| | - Gianluca Mennini
- Department of Hepato-Bilopancreatic and Transplant Surgery, Sapienza University of Rome, Rome, Italy
| | - Massimo Rossi
- Department of Hepato-Bilopancreatic and Transplant Surgery, Sapienza University of Rome, Rome, Italy
| | - Carlo Catalano
- Department of Radiological, Oncological, Anatomo-Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Vito D'Andrea
- Department of Surgical Sciences, Sapienza University of Rome, Rome, Italy
| | - Vito Cantisani
- Department of Radiological, Oncological, Anatomo-Pathological Sciences, Sapienza University of Rome, Rome, Italy
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Goldsmith AJ, Al Saud A, Duggan NM, Ma IW, Huang CK, Eke O, Kapur T, Kharasch S, Liteplo A, Shokoohi H. Point-of-Care Lung Ultrasound for Differentiating COVID-19 From Influenza. Cureus 2022; 14:e21116. [PMID: 35165573 PMCID: PMC8830436 DOI: 10.7759/cureus.21116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2022] [Indexed: 12/15/2022] Open
Abstract
Background and objectives Patients infected with influenza and COVID-19 exhibit similar clinical presentations; thus, a point-of-care test to differentiate between the diseases is needed. Here, we sought to identify features of point-of-care lung ultrasound (LUS) that can discriminate between influenza and COVID-19. Methods In this prospective, cross-sectional study, LUS clips of patients presenting to the emergency department (ED) with viral-like symptoms were collected via a 10-zone scanning protocol. Deidentified clips were interpreted by emergency ultrasound fellows blinded to patients’ clinical context and influenza or COVID-19 diagnosis. Modified Soldati scores were calculated for each lung zone. Logistic regression identified the association of pulmonary pathologies with each disease. Results Ultrasound fellows reviewed LUS clips from 165 patients, of which 30.9% (51/165) had confirmed influenza, 33.9% (56/165) had confirmed COVID-19, and 35.1% (58/165) had neither disease. Patients with COVID-19 were more likely to have irregular pleura and B-lines in all lung zones (p<0.01). The median-modified Soldati score for influenza patients was 0/20 (IQR 0-2), 9/20 (IQR 2.5-15.5) for COVID-19 patients, and 2/20 (IQR 0-8) for patients with neither disease (p<0.0001). In multivariate regression analysis adjusted for age, sex, and congestive heart failure (CHF), the presence of B-lines (OR = 1.29, 95% CI 1.09-1.53) was independently associated with COVID-19 diagnosis. The presence of pleural effusion was inversely associated with COVID-19 (OR = 0.09, 95% CI 0.01-0.65). Conclusions LUS may help providers preferentially identify the presence of influenza versus COVID-19 infection both visually and by calculating a modified Soldati score. Further studies assessing the utility of LUS in differentiating viral illnesses in patients with variable illness patterns and those with variable illness severity are warranted.
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Fiorito I, Gori G, Perrone T, Mascolo A, Caimmi S, Palumbo I, De Silvestri A, Delliponti M, Di Sabatino A, Marseglia GL. ECHOPAEDIA: Echography in Paediatric Patients in the Age of Coronavirus Disease 2019: Utility of Lung Ultrasound and Chest X-Ray in Diagnosis of Community-Acquired Pneumonia and Severe Acute Respiratory Syndrome Coronavirus 2 Pneumonia. Front Pediatr 2022; 10:813874. [PMID: 35295703 PMCID: PMC8918613 DOI: 10.3389/fped.2022.813874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 01/11/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND In recent years, lung ultrasound (LUS) has spread to emergency departments and clinical practise gaining great support, especially in time of pandemic, but only a few studies have been done on children. The aim of the present study is to compare the diagnostic accuracy of LUS (using Soldati LUS score) and that of chest X-ray (CXR) in CAP and COVID-19 pneumonia in paediatric patients. Secondary objective of the study is to examine the association between LUS score and disease severity. Finally, we describe the local epidemiology of paediatric CAP during the study period in the era of COVID-19 by comparing it with the previous 2 years. METHODS This is an observational retrospective single-centre study carried out on patients aged 18 or younger and over the month of age admitted to the Paediatric Unit of our Foundation for suspected community-acquired pneumonia or SARS-CoV-2 pneumonia during the third pandemic wave of COVID-19. Quantitative variables were elaborated with Shapiro-Wilks test or median and interquartile range (IQR). Student's t-test was used for independent data. Association between quantitative data was evaluated with Pearson correlation. ROC curve analysis was used to calculate best cut-off of LUS score in paediatric patients. Area under the ROC curve (AUC), sensibility, and specificity are also reported with 95% confidence interval (CI). RESULTS The diagnostic accuracy of the LUS score in pneumonia, the area underlying the ROC curve (AUC) was 0.67 (95% CI: 0.27-1) thus showing a discrete discriminatory power, with a sensitivity of 89.66% and specificity 50% setting a LUS score greater than or equal to 1 as the best cut-off. Nine patients required oxygen support and a significant statistical correlation (p = 0.0033) emerged between LUS score and oxygen therapy. The mean LUS score in patients requiring oxygen therapy was 12. RCP was positively correlated to the patient's LUS score (p = 0.0024). CONCLUSIONS Our study has shown that LUS is a valid alternative to CXR. Our results show how LUS score can be applied effectively for the diagnosis and stratification of paediatric pneumonia.
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Affiliation(s)
- Ivan Fiorito
- Department of Pediatrics, Foundation IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Giulia Gori
- Department of Internal Medicine, Foundation IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | | | - Amelia Mascolo
- Department of Pediatrics, Foundation IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Silvia Caimmi
- Department of Pediatrics, Foundation IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Ilaria Palumbo
- Department of Internal Medicine, Foundation IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Annalisa De Silvestri
- Unit of Clinical Epidemiology and Biometrics, Foundation IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Mariangela Delliponti
- Department of Internal Medicine, Foundation IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Antonio Di Sabatino
- Department of Internal Medicine, Foundation IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Gian Luigi Marseglia
- Department of Pediatrics, Foundation IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
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Bianchi S, Savinelli C, Paolucci E, Pelagatti L, Sibona E, Fersini N, Buggea M, Tozzi C, Allescia G, Paolini D, Lanigra M. Point-of-care ultrasound (PoCUS) in the early diagnosis of novel coronavirus 2019 disease (COVID-19) in a first-level emergency department during a SARS-CoV-2 outbreak in Italy: a real-life analysis. Intern Emerg Med 2022; 17:193-204. [PMID: 33881727 PMCID: PMC8059423 DOI: 10.1007/s11739-021-02643-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 01/13/2021] [Indexed: 12/14/2022]
Abstract
In December 2019, the severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) spread worldwide, challenging emergency departments (EDs) with the need of rapid diagnosis for appropriate allocation in dedicated setting. Many authors highlighted the role of lung ultrasound (LUS) in management of the novel coronavirus disease 2019 (COVID-19). The study aims to analyze the performance of LUS in the early identification of COVID-19 patients in ED during a SARS-CoV-2 outbreak. We prospectively collected consecutive adult patients admitted to a first-level ED in Powered by Editorial Manager® and ProduXion Manager® from Aries Systems Corporation Florence with history or symptoms suggestive for COVID-19 that underwent LUS during the ED management. LUS findings were categorized in 6 discrete main etiological patterns. "A", "Cardiogenic B" and "Typical C" patterns were referred as non-COVID-19-suggestive, while "Atypical" B or C patterns, "Multiple Consolidations" pattern and "ARDS" pattern were referred as COVID-19-suggestive. The primary outcome was the diagnosis of SARS-CoV-2 infection. From 12 March to 12 May 2020, 360 patients were enrolled. COVID-19 suggestive LUS findings were significantly associated with final COVID-19 diagnosis (86% in COVID-19 vs 29% in non-COVID-19, p < 0.001). The presence in ED of at least one in positive swab OR a COVID-19-suggestive LUS showed a sensitivity of 97% and a negative predictive value (NPV) of 98%. In patients with known SARS-CoV-2 exposition in the last 14 days, a COVID-19-suggestive pattern at LUS had a positive predictive value (PPV) of 97% for COVID-19 diagnosis. Point-of-care ultrasound (PoCUS) is a valuable tool for diagnostic stratification during COVID-19 outbreaks. LUS can help physicians in identifying false-negative RT-PCR, improving its diagnostic sensitivity in ED.
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Affiliation(s)
- Simone Bianchi
- Emergency Department, Santa Maria Nuova Hospital, Middle-Tuscany Local Health Agency, Florence, Italy.
- Emergency Department, Ospedale Santa Maria Nuova, Azienda Unità Sanitaria Locale Toscana Centro, Florence, Italy.
| | - Caterina Savinelli
- Emergency Department, Santa Maria Nuova Hospital, Middle-Tuscany Local Health Agency, Florence, Italy
| | - Elisa Paolucci
- Emergency Department, Careggi University Hospital, Florence, Italy
| | | | - Erica Sibona
- Emergency Department, Careggi University Hospital, Florence, Italy
| | - Natalia Fersini
- Emergency Department, Careggi University Hospital, Florence, Italy
| | - Michele Buggea
- Emergency Department, Careggi University Hospital, Florence, Italy
| | - Camilla Tozzi
- Emergency Department, Santa Maria Nuova Hospital, Middle-Tuscany Local Health Agency, Florence, Italy
| | - Germana Allescia
- Radiology and Diagnostic Imaging Department, Santa Maria Nuova Hospital, Middle-Tuscany Local Health Agency, Florence, Italy
| | - Diana Paolini
- Health Management Unit, Careggi University Hospital, Florence, Italy
| | - Michele Lanigra
- Emergency Department, Santa Maria Nuova Hospital, Middle-Tuscany Local Health Agency, Florence, Italy
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Wang Y, Zhang Y, He Q, Liao H, Luo J. Quantitative Analysis of Pleural Line and B-Lines in Lung Ultrasound Images for Severity Assessment of COVID-19 Pneumonia. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2022; 69:73-83. [PMID: 34428140 PMCID: PMC8905613 DOI: 10.1109/tuffc.2021.3107598] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 08/21/2021] [Indexed: 06/12/2023]
Abstract
Specific patterns of lung ultrasound (LUS) images are used to assess the severity of coronavirus disease 2019 (COVID-19) pneumonia, while such assessment is mainly based on clinicians' qualitative and subjective observations. In this study, we quantitatively analyze the LUS images to assess the severity of COVID-19 pneumonia by characterizing the patterns related to the pleural line (PL) and B-lines (BLs). Twenty-seven patients with COVID-19 pneumonia, including 13 moderate cases, seven severe cases, and seven critical cases, are enrolled. Features related to the PL, including the thickness (TPL) and roughness of the PL (RPL), and the mean (MPLI) and standard deviation (SDPLI) of the PL intensities are extracted from the LUS images. Features related to the BLs, including the number (NBL), accumulated width (AWBL), attenuation coefficient (ACBL), and accumulated intensity (AIBL) of BLs, are also extracted. The correlations of these features with the disease severity are evaluated. The performances of the binary severe/non-severe classification are assessed for each feature and support vector machine (SVM) classifiers with various combinations of features as input. Several features, including the RPL, NBL, AWBL, and AIBL, show significant correlations with disease severity (all ). The classification performance is optimal using the SVM classifier using all the features as input (area under the receiver operating characteristic (ROC) curve = 0.96, sensitivity = 0.93, and specificity = 1). These findings demonstrate that the proposed method may be a promising tool for automatic grading diagnosis and follow-up of patients with COVID-19 pneumonia.
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Affiliation(s)
- Yuanyuan Wang
- Department of Biomedical EngineeringSchool of MedicineTsinghua UniversityBeijing100084China
| | - Yao Zhang
- Department of UltrasoundBeijing Ditan HospitalCapital Medical UniversityBeijing100015China
| | - Qiong He
- Department of Biomedical EngineeringSchool of MedicineTsinghua UniversityBeijing100084China
| | - Hongen Liao
- Department of Biomedical EngineeringSchool of MedicineTsinghua UniversityBeijing100084China
| | - Jianwen Luo
- Department of Biomedical EngineeringSchool of MedicineTsinghua UniversityBeijing100084China
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Espersen C, Platz E, Skaarup KG, Lassen MCH, Lind JN, Johansen ND, Sengeløv M, Alhakak AS, Nielsen AB, Bundgaard H, Hassager C, Jabbari R, Carlsen J, Kirk O, Lindholm MG, Kristiansen OP, Nielsen OW, Jeschke KN, Ulrik CS, Sivapalan P, Gislason G, Iversen K, Jensen JUS, Schou M, Skaarup SH, Biering-Sørensen T. Lung Ultrasound Findings Associated With COVID-19 ARDS, ICU Admission, and All-Cause Mortality. Respir Care 2022; 67:66-75. [PMID: 34815326 PMCID: PMC10408365 DOI: 10.4187/respcare.09108] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND As lung ultrasound (LUS) has emerged as a diagnostic tool in patients with COVID-19, we sought to investigate the association between LUS findings and the composite in-hospital outcome of ARDS incidence, ICU admission, and all-cause mortality. METHODS In this prospective, multi-center, observational study, adults with laboratory-confirmed SARS-CoV-2 infection were enrolled from non-ICU in-patient units. Subjects underwent an LUS evaluating a total of 8 zones. Images were analyzed off-line, blinded to clinical variables and outcomes. A LUS score was developed to integrate LUS findings: ≥ 3 B-lines corresponded to a score of 1, confluent B-lines to a score of 2, and subpleural or lobar consolidation to a score of 3. The total LUS score ranged from 0-24 per subject. RESULTS Among 215 enrolled subjects, 168 with LUS data and no current signs of ARDS or ICU admission (mean age 59 y, 56% male) were included. One hundred thirty-six (81%) subjects had pathologic LUS findings in ≥ 1 zone (≥ 3 B-lines, confluent B-lines, or consolidations). Markers of disease severity at baseline were higher in subjects with the composite outcome (n = 31, 18%), including higher median C-reactive protein (90 mg/L vs 55, P < .001) and procalcitonin levels (0.35 μg/L vs 0.13, P = .033) and higher supplemental oxygen requirements (median 4 L/min vs 2, P = .001). However, LUS findings and score did not differ significantly between subjects with the composite outcome and those without, and were not associated with outcomes in unadjusted and adjusted logistic regression analyses. CONCLUSIONS Pathologic findings on LUS were common a median of 3 d after admission in this cohort of non-ICU hospitalized subjects with COVID-19 and did not differ among subjects who experienced the composite outcome of incident ARDS, ICU admission, and all-cause mortality compared to subjects who did not. These findings should be confirmed in future investigations. The study is registered at Clinicaltrials.gov (NCT04377035).
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Affiliation(s)
- Caroline Espersen
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Elke Platz
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kristoffer Grundtvig Skaarup
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Mats Christian Højbjerg Lassen
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Jannie Nørgaard Lind
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Niklas Dyrby Johansen
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Morten Sengeløv
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Alia Saed Alhakak
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Anne Bjerg Nielsen
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Henning Bundgaard
- Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Christian Hassager
- Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Reza Jabbari
- Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Jørn Carlsen
- Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Ole Kirk
- Department of Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Matias Greve Lindholm
- Department of Cardiology, Zealand University Hospital Roskilde, University of Copenhagen, Copenhagen, Denmark
| | - Ole Peter Kristiansen
- Department of Cardiology, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Olav Wendelboe Nielsen
- Department of Cardiology, Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Klaus Nielsen Jeschke
- Department of Respiratory Medicine, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
| | - Charlotte Suppli Ulrik
- Department of Respiratory Medicine, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
| | - Pradeesh Sivapalan
- Department of Medicine, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Gunnar Gislason
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Kasper Iversen
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Jens Ulrik Stæhr Jensen
- Department of Medicine, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Morten Schou
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Søren Helbo Skaarup
- Department of Respiratory Medicine, Aarhus University Hospital, University of Aarhus, Aarhus, Denmark
| | - Tor Biering-Sørensen
- Cardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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48
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Burkert FR, Lanser L, Bellmann-Weiler R, Weiss G. Coronavirus Disease 2019: Clinics, Treatment, and Prevention. Front Microbiol 2021; 12:761887. [PMID: 34858373 PMCID: PMC8631905 DOI: 10.3389/fmicb.2021.761887] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 10/21/2021] [Indexed: 01/08/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic, caused by a novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), emerged at the end of 2019 in China and affected the entire world population, either by infection and its health consequences, or by restrictions in daily life as a consequence of hygiene measures and containment strategies. As of September 2021, more than 231,000.000 infections and 4,740.000 deaths due to COVID-19 have been reported. The infections present with varied clinical symptoms and severity, ranging from asymptomatic course to fatal outcome. Several risk factors for a severe course of the disease have been identified, the most important being age, gender, comorbidities, lifestyle, and genetics. While most patients recover within several weeks, some report persistent symptoms restricting their daily lives and activities, termed as post-COVID. Over the past 18months, we have acquired significant knowledge as reflected by an almost uncountable number of publications on the nature of the underlying virus and its evolution, host responses to infection, modes of transmission, and different clinical presentations of the disease. Along this line, new diagnostic tests and algorithms have been developed paralleled by the search for and clinical evaluation of specific treatments for the different stages of the disease. In addition, preventive non-pharmacological measures have been implemented to control the spread of infection in the community. While an effective antiviral therapy is not yet available, numerous vaccines including novel vaccine technologies have been developed, which show high protection from infection and specifically from a severe course or death from COVID-19. In this review, we tried to provide an up-to-date schematic of COVID-19, including aspects of epidemiology, virology, clinical presentation, diagnostics, therapy, and prevention.
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Affiliation(s)
- Francesco Robert Burkert
- Department of Internal Medicine II, Infectious Diseases, Immunology, Rheumatology, Pneumology, Innsbruck Medical University, Innsbruck, Austria
| | - Lukas Lanser
- Department of Internal Medicine II, Infectious Diseases, Immunology, Rheumatology, Pneumology, Innsbruck Medical University, Innsbruck, Austria
| | - Rosa Bellmann-Weiler
- Department of Internal Medicine II, Infectious Diseases, Immunology, Rheumatology, Pneumology, Innsbruck Medical University, Innsbruck, Austria
| | - Günter Weiss
- Department of Internal Medicine II, Infectious Diseases, Immunology, Rheumatology, Pneumology, Innsbruck Medical University, Innsbruck, Austria
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49
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The Impact of Different Lung Ultrasound Protocols in the Assessment of Lung Lesions in COVID-19 Patients: Is There an Ideal Lung Ultrasound Protocol? J Ultrasound 2021; 25:483-491. [PMID: 34855187 PMCID: PMC8638638 DOI: 10.1007/s40477-021-00610-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 06/21/2021] [Indexed: 11/28/2022] Open
Abstract
Background In the past months, several lung ultrasonography (LUS) protocols have been proposed, mainly on previously validated schemes independent of coronavirus disease 2019 (COVID-19). Objectives The main purpose of this study was to determine the impact and accuracy of different LUS protocols proposed in COVID-19. Methods Patients were evaluated with a standard sequence of LUS scans in 72 intercostal spaces along 14 anatomic lines in the chest. A scoring system of LUS findings was reported and then analyzed separately according to each proposed LUS protocol zones. This score was then correlated to a validated Pulmonary Inflammation Index (PII) on chest Computed Tomography (CT). Results Thirty-two patients were enrolled. The most frequent pattern was ground-glass opacities in the chest X-ray (53.1%), chest CT (59.1%) and subpleural or lobar consolidations (40.8%) in the posteroinferior areas (p < 0.001) on LUS. The Interclass Correlation Coefficient (ICC) was significantly correlated with almost every protocol analyzed except the 8-zone (p = 0.119) and the 10-zone protocol that only included one posterior point (p = 0.052). The highest ICC was obtained with a 12-zone protocol (ICC 0.500; p = 0.027) and decreased as more points were included. Conclusions In conclusion, our study results suggest that performing an ultrasound protocol with 12-zone scanning, including the superior and inferior areas of the anterior, lateral and posterior regions of the chest was consistent with higher ICC and higher degree of concordance with CT. We emphasize the need of a more standardization technique to further implement and develop this imaging modality in COVID-19.
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50
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Orlandi D, Battaglini D, Robba C, Viganò M, Bergamaschi G, Mignatti T, Radice ML, Lapolla A, Turtulici G, Pelosi P. Coronavirus Disease 2019 Phenotypes, Lung Ultrasound, Chest Computed Tomography and Clinical Features in Critically Ill Mechanically Ventilated Patients. ULTRASOUND IN MEDICINE & BIOLOGY 2021; 47:3323-3332. [PMID: 34551862 PMCID: PMC8302846 DOI: 10.1016/j.ultrasmedbio.2021.07.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 06/17/2021] [Accepted: 07/19/2021] [Indexed: 05/12/2023]
Abstract
Chest computed tomography (CT) may provide insights into the pathophysiology of coronavirus disease 2019 (COVID-19), although it is not suitable for a timely bedside dynamic assessment of patients admitted to intensive care unit (ICU); therefore, lung ultrasound (LUS) has been proposed as a complementary diagnostic tool. The aims of this study were to investigate different lungs phenotypes in patients with COVID-19 and to assess the differences in CT and LUS scores between ICU survivors and non-survivors. We also explored the association between CT and LUS, and oxygenation (arterial partial pressure of oxygen [PaO2]/fraction of inspired oxygen [FiO2]) and clinical parameters. The study included 39 patients with COVID-19. CT scans revealed types 1, 2 and 3 phenotypes in 62%, 28% and 10% of patients, respectively. Among survivors, pattern 1 was prevalent (p < 0.005). Chest CT and LUS scores differed between survivors and non-survivors both at ICU admission and 10 days after and were associated with ICU mortality. Chest CT score was positively correlated with LUS findings at ICU admission (r = 0.953, p < 0.0001) and was inversely correlated with PaO2/FiO2 (r = -0.375, p = 0.019) and C-reactive protein (r = 0.329, p = 0.041). LUS score was inversely correlated with PaO2/FiO2 (r = -0.345, p = 0.031). COVID-19 presents distinct phenotypes with differences between survivors and non-survivors. LUS is a valuable monitoring tool in an ICU setting because it may correlate with CT findings and mortality, although it cannot predict oxygenation changes.
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Affiliation(s)
- Davide Orlandi
- Department of Radiology, Ospedale Evangelico Internazionale, Genoa, Italy.
| | - Denise Battaglini
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) for Oncology and Neurosciences, Genoa, Italy; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Chiara Robba
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) for Oncology and Neurosciences, Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostic (DISC), University of Genoa, Genoa, Italy
| | - Marco Viganò
- Orthopedics Biotechnology Laboratory, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) Istituto Ortopedico Galeazzi, Milan, Italy
| | - Giulio Bergamaschi
- Department of Radiology, Ospedale Evangelico Internazionale, Genoa, Italy
| | - Tiziana Mignatti
- Department of Radiology, Ospedale Evangelico Internazionale, Genoa, Italy
| | - Maria Luisa Radice
- Anesthesia and Intensive Care, Ospedale Evangelico Internazionale, Genoa, Italy
| | - Antonio Lapolla
- Anesthesia and Intensive Care, Ospedale Evangelico Internazionale, Genoa, Italy
| | - Giovanni Turtulici
- Department of Radiology, Ospedale Evangelico Internazionale, Genoa, Italy
| | - Paolo Pelosi
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) for Oncology and Neurosciences, Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostic (DISC), University of Genoa, Genoa, Italy
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