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Mongodi S, Cortegiani A, Alonso-Ojembarrena A, Biasucci DG, Bos LDJ, Bouhemad B, Cantinotti M, Ciuca I, Corradi F, Girard M, Gregorio-Hernandez R, Gualano MR, Mojoli F, Ntoumenopoulos G, Pisani L, Raimondi F, Rodriguez-Fanjul J, Savoia M, Smit MR, Tuinman PR, Zieleskiewicz L, De Luca D. ESICM-ESPNIC international expert consensus on quantitative lung ultrasound in intensive care. Intensive Care Med 2025:10.1007/s00134-025-07932-y. [PMID: 40353867 DOI: 10.1007/s00134-025-07932-y] [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: 01/15/2025] [Accepted: 04/28/2025] [Indexed: 05/14/2025]
Abstract
PURPOSE To provide an international expert consensus on technical aspects and clinical applications of quantitative lung ultrasound in adult, paediatric and neonatal intensive care. METHODS The European Society of Intensive Care (ESICM) and the European Society of Paediatric and Neonatal Intensive Care (ESPNIC) endorsed the project. We selected an international panel of 20 adult, paediatric and neonatal intensive care experts with clinical and research expertise in quantitative lung ultrasound, plus two non-voting methodologists. Fourteen clinical questions were proposed by the chairs to the panel, who voted for their priority (1-9 Likert-type scale) and proposed modifications/supplementing (two-round vote). All the questions achieved the predefined threshold (mean score > 5) and 14 groups of 3 mixed adult/paediatric experts were identified to develop the statements for each clinical question; predefined groups of experts in the fields of adult and paediatric/neonatal intensive care voted statements specific for these subgroups. An iterative approach was used to obtain the final consensus statements (two-round vote, 1-9 Likert-type scale); statements were classified as with agreement (range 7-9), uncertainty (4-6), disagreement (1-3) when the median score and ≥ 75% of votes laid within a specific range. RESULTS A total of 46 statements were produced (4 adults-only, 4 paediatric/neonatal-only, 38 interdisciplinary); all obtained agreement. This result was also achieved by acknowledging in the statements the current limitations of quantitative lung ultrasound. CONCLUSION This consensus guides the use of quantitative lung ultrasound in adult, paediatric and neonatal intensive care and helps identify the fields where further research will be needed in the future.
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Affiliation(s)
- Silvia Mongodi
- Intensive Care Unit 1, San Matteo Hospital, Pavia, Italy.
| | - Andrea Cortegiani
- Department of Precision Medicine in Medical, Surgical and Critical Care Area (Me.Pre.C.C.), University of Palermo, Palermo, Italy
- Department of Anaesthesia, Intensive Care and Emergency Policlinico Paolo Giaccone, Palermo, Italy
| | - Almudena Alonso-Ojembarrena
- Neonatal Intensive Care Unit, Hospital Universitario Puerta del Mar, Cádiz, Spain
- Research Unit, Biomedical Research and Innovation Institute of Cádiz, Hospital Universitario Puerta del Mar, Cadiz, Spain
| | - Daniele Guerino Biasucci
- Department of Clinical Science and Translational Medicine, Tor Vergata' University of Rome, Rome, Italy
| | - Lieuwe D J Bos
- Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Belaid Bouhemad
- Department of Anaesthesiology and Intensive Care, C.H.U. Dijon, Dijon, France
- Université Bourgogne Franche‑Comté, LNC UMR866, Dijon, France
| | - Massimo Cantinotti
- Fondazione CNR Regione Toscana G. Monasterio, Ospedale del Cuore, Massa, Italy
| | - Ioana Ciuca
- Pediatric Department, "Victor Babes" University of Medicine and Pharmacy Timisoara, Timisoara, Romania
- Pediatric Pulmonology Unit, Clinical County Hospital Timisoara, Timisoara, Romania
| | - Francesco Corradi
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Martin Girard
- Department of Anesthesiology, Centre Hospitalier de L'Université de Montréal, Montréal, Canada
- Imaging and Engineering, Centre de Recherche du Centre Hospitalier de L'Université de Montréal, Montréal, Canada
| | | | - Maria Rosaria Gualano
- UniCamillus - Saint Camillus International University of Health and Medical Sciences, Rome, Italy
- Leadership Research Center, Università Cattolica del Sacro Cuore-Campus Di Roma, Rome, Italy
| | - Francesco Mojoli
- Intensive Care Unit 1, San Matteo Hospital, Pavia, Italy
- Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, Università Di Pavia, Pavia, Italy
| | | | - Luigi Pisani
- Department of Precision-Regenerative Medicine and Jonic Area (DiMePRe-J), Section of Anesthesiology and Intensive Care Medicine, University of Bari "Aldo Moro", Bari, Italy
- Mahidol Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Francesco Raimondi
- Division of Neonatology, Department of Translational Medical Sciences, University of Naples Federico II, Naples, Italy
| | - Javier Rodriguez-Fanjul
- Pediatric Intensive Care Unit. Hospital Germans Trias I Pujol, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Marilena Savoia
- Neonatal Intensive Care Unit, S Maria Della Misericordia Hospital, Udine, Italy
| | - Marry R Smit
- Department of Intensive Care, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Pieter R Tuinman
- Department of Intensive Care Medicine, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam Institute for Immunology and Infectious Diseases, Amsterdam, the Netherlands
| | - Laurent Zieleskiewicz
- Department of Anesthesia and Critical Care, North Hospital, Marseille APHM, Aix Marseille University, Marseille, France
| | - Daniele De Luca
- Division of Paediatrics and Neonatal Critical Care, APHP-Paris Saclay University, Paris, France
- Physiopathology and Therapeutic Innovation Unit-INSERM U999, Paris Saclay University, Paris, France
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Yamanaka T, Yamamoto R, Yajima K, Yamashita I, Kurihara T, Kujirai D, Moritani K, Kamikura H, Koh H, Sasaki J. Bacterial contamination of ultrasound probes in emergency departments: A multicentre observational study. J Hosp Infect 2025:S0195-6701(25)00095-7. [PMID: 40254073 DOI: 10.1016/j.jhin.2025.03.017] [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: 01/24/2025] [Revised: 02/19/2025] [Accepted: 03/31/2025] [Indexed: 04/22/2025]
Abstract
BACKGROUND Ultrasound is frequently used in emergency departments (ED) for patient evaluation and diagnosis. Despite the risk of probe contamination from body fluids and blood, the rate of such contamination remains unclear. AIM This study aimed to evaluate bacterial contamination of ultrasound probes in EDs, focusing on hospital types and reprocessing methods. METHODS A multicentre prospective observational study was conducted at a university hospital, a non-academic tertiary hospital, and a regional hospital in 2023. Samples were collected from probes used on ED patients. Reprocessing methods included water-moistened wipes alone, water-moistened wipes with ethanol wipes, quaternary ammonium wipes alone, and quaternary ammonium wipes with ethanol or hypochlorite wipes. Outcomes included the level of bacterial contamination, measured by colony-forming units (CFU) per total surface area of each probe, and resistant bacterial strains. FINDINGS The median CFU was 10 (IQR: 0-50) at the university hospital, 40 (10-135) at the non-academic tertiary hospital, and 30 (1-95) at the regional hospital. By reprocessing method, the median CFU was 20 (1-90) for water-moistened wipes alone, 10 (0-20) for water-moistened wipes and additional ethanol wipe, 90 (40-180) for quaternary ammonium wipes alone, and 20 (1-50) for quaternary ammonium wipe and additional ethanol or hypochlorite wipe. Resistant bacterial strains were found on 18.2% of probes. CONCLUSION High levels of bacterial contamination, including resistant strains, were observed on ultrasound probes in EDs, regardless of facility type and reprocessing method. CLINICAL TRIAL NUMBER Not applicable.
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Affiliation(s)
- Takahiro Yamanaka
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Ryo Yamamoto
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
| | - Keitaro Yajima
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Ikutaro Yamashita
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Tomohiro Kurihara
- Department of Emergency and Critical Care Medicine, NHO Tokyo Medical Center, 2-5-1, Higashigaoka, Meguro-ku, Tokyo 152-8902, Japan
| | - Dai Kujirai
- Department of Emergency and Critical Care Medicine, NHO Tokyo Medical Center, 2-5-1, Higashigaoka, Meguro-ku, Tokyo 152-8902, Japan
| | - Kazunori Moritani
- Department of cardiology, Federation of National Public Service Personnel Mutual Associations Tachikawa Hospital, 4-2-22, Nishiki-cho, Tachikawa-shi, Tokyo, 190-8531, Japan
| | - Hanae Kamikura
- Department of Emergency Medicine, Federation of National Public Service Personnel Mutual Associations Tachikawa Hospital, 4-2-22, Nishiki-cho, Tachikawa-shi, Tokyo, 190-8531, Japan
| | - Hidefumi Koh
- Department of Pulmonary Medicine, Federation of National Public Service Personnel Mutual Associations Tachikawa Hospital, 4-2-22, Nishiki-cho, Tachikawa-shi, Tokyo, 190-8531, Japan
| | - Junichi Sasaki
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
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Ferrara G, Cangelosi G, Morales Palomares S, Mancin S, Melina M, Diamanti O, Sguanci M, Amendola A, Petrelli F. Optimizing Ultrasound Probe Disinfection for Healthcare-Associated Infection Control: A Comparative Analysis of Disinfectant Efficacy. Microorganisms 2024; 12:2394. [PMID: 39770597 PMCID: PMC11676816 DOI: 10.3390/microorganisms12122394] [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: 10/30/2024] [Revised: 11/18/2024] [Accepted: 11/21/2024] [Indexed: 01/11/2025] Open
Abstract
Background/Aims: Ultrasound is a key diagnostic tool in modern medicine due to its ability to provide real-time, high-resolution images of the internal structures of the human body. Despite its undeniable advantages, there are challenges related to the contamination of ultrasound probes, with the risk of healthcare-associated infections. The aim of this review was to identify the most effective disinfectants for disinfecting ultrasound probes to prevent the transmission of pathogens between patients. Methods: A narrative review was conducted using the PubMed, CINAHL, Embase, and Cochrane Library databases, resulting in the inclusion of 16 studies from an initial 1202 records. Results: Hydrogen peroxide (H2O2) was the most effective disinfectant, especially in automated systems, achieving a >5-log10 reduction in viral load, including that of resistant pathogens like Human Papillomavirus. Chlorhexidine gluconate (4%) demonstrated strong antibacterial efficacy, eliminating 84.62% of bacterial contamination, but was less effective against viral pathogens. Glutaraldehyde was effective in some cases, though its use carried a higher risk of probe damage. The use of sodium hypochlorite varied across guidelines; some endorsed it for COVID-19 prevention, while others cautioned against its application due to potential probe damage. Conclusions: This study highlights the importance of advanced disinfection technologies and strict adherence to protocols in improving infection control. Automated systems utilizing H2O2 strike an ideal balance between antimicrobial efficacy and equipment preservation. Future research should focus on developing disinfection methods that prioritize safety, cost-effectiveness, and environmental sustainability in various clinical environments.
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Affiliation(s)
- Gaetano Ferrara
- Nephrology and Dialysis Unit, Ramazzini Hospital, 41012 Carpi, Italy;
| | | | - Sara Morales Palomares
- Department of Pharmacy, Health and Nutritional Sciences (DFSSN), University of Calabria, 87036 Rende, Italy;
| | - Stefano Mancin
- IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Marianna Melina
- Azienda Socio Sanitaria Territoriale Lariana, 22100 Como, Italy;
| | | | - Marco Sguanci
- A.O. Polyclinic San Martino Hospital, Largo R. Benzi 10, 16132 Genova, Italy;
| | - Antonella Amendola
- Department of Health Sciences, Università Degli Studi di Milano, 20146 Milan, Italy;
| | - Fabio Petrelli
- School of Pharmacy, Polo Medicina Sperimentale e Sanità Pubblica “Stefania Scuri”, Via Madonna delle Carceri 9, 62032 Camerino, Italy;
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Lieveld AWE, Heldeweg MLA, Schouwenburg J, Veldhuis L, Haaksma ME, van Haaften RM, Teunissen BP, Smit JM, Twisk J, Heunks L, Nanayakkara PWB, Tuinman PR. Monitoring of pulmonary involvement in critically ill COVID-19 patients - should lung ultrasound be preferred over CT? Ultrasound J 2023; 15:11. [PMID: 36842163 PMCID: PMC9968403 DOI: 10.1186/s13089-022-00299-x] [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: 06/02/2022] [Accepted: 11/27/2022] [Indexed: 02/27/2023] Open
Abstract
BACKGROUND It is unclear if relevant changes in pulmonary involvement in critically ill COVID-19 patients can be reliably detected by the CT severity score (CTSS) and lung ultrasound score (LUSS), or if these changes have prognostic implications. In addition, it has been argued that adding pleural abnormalities to the LUSS could improve its prognostic value. The objective of this study was to compare LUSS and CTSS for the monitoring of COVID-19 pulmonary involvement through: first, establishing the correlation of LUSS (± pleural abnormalities) and CTSS throughout admission; second, assessing agreement and measurement error between raters for LUSS, pleural abnormalities, and CTSS; third, evaluating the association of the LUSS (± pleural abnormalities) and CTSS with mortality at different timepoints. METHODS This is a prospective, observational study, conducted during the second COVID-19 wave at the AmsterdamUMC, location VUmc. Adult COVID-19 ICU patients were prospectively included when a CT or a 12-zone LUS was performed at admission or at weekly intervals according to local protocol. Patients were followed 90 days or until death. We calculated the: (1) Correlation of the LUSS (± pleural abnormalities) and CTSS throughout admission with mixed models; (2) Intra-class correlation coefficients (ICCs) and smallest detectable changes (SDCs) between raters; (3) Association between the LUSS (± pleural abnormalities) and CTSS with mixed models. RESULTS 82 consecutive patients were included. Correlation between LUSS and CTSS was 0.45 (95% CI 0.31-0.59). ICCs for LUSS, pleural abnormalities, and CTSS were 0.88 (95% CI 0.73-0.95), 0.94 (95% CI 0.90-0.96), and 0.84 (95% CI 0.65-0.93), with SDCs of 4.8, 1.4, and 3.9. The LUSS was associated with mortality in week 2, with a score difference between patients who survived or died greater than its SDC. Addition of pleural abnormalities was not beneficial. The CTSS was associated with mortality only in week 1, but with a score difference less than its SDC. CONCLUSIONS LUSS correlated with CTSS throughout ICU admission but performed similar or better at agreement between raters and mortality prognostication. Given the benefits of LUS over CT, it should be preferred as initial monitoring tool.
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Affiliation(s)
- Arthur W. E. Lieveld
- grid.509540.d0000 0004 6880 3010Section Acute Medicine, Department of Internal Medicine, Amsterdam UMC, Location VU Medical Center, Postbox 7507, 1007MB Amsterdam, The Netherlands ,grid.509540.d0000 0004 6880 3010Department of Intensive Care Medicine, Amsterdam University Medical Centers, Location VU Medical Center, Amsterdam, The Netherlands
| | - Micah L. A. Heldeweg
- grid.509540.d0000 0004 6880 3010Department of Intensive Care Medicine, Amsterdam University Medical Centers, Location VU Medical Center, Amsterdam, The Netherlands ,Amsterdam Leiden IC Focused Echography (ALIFE), Amsterdam, The Netherlands
| | - Jasper Schouwenburg
- grid.509540.d0000 0004 6880 3010Department of Intensive Care Medicine, Amsterdam University Medical Centers, Location VU Medical Center, Amsterdam, The Netherlands
| | - Lars Veldhuis
- grid.509540.d0000 0004 6880 3010Department of Intensive Care Medicine, Amsterdam University Medical Centers, Location VU Medical Center, Amsterdam, The Netherlands
| | - Mark E. Haaksma
- grid.509540.d0000 0004 6880 3010Department of Intensive Care Medicine, Amsterdam University Medical Centers, Location VU Medical Center, Amsterdam, The Netherlands ,Amsterdam Leiden IC Focused Echography (ALIFE), Amsterdam, The Netherlands
| | - Rutger M. van Haaften
- grid.509540.d0000 0004 6880 3010Section Emergency Radiology, Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VU Medical Center, Amsterdam, The Netherlands
| | - Berend P. Teunissen
- grid.509540.d0000 0004 6880 3010Section Emergency Radiology, Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VU Medical Center, Amsterdam, The Netherlands
| | - Jasper M. Smit
- grid.509540.d0000 0004 6880 3010Department of Intensive Care Medicine, Amsterdam University Medical Centers, Location VU Medical Center, Amsterdam, The Netherlands ,Amsterdam Leiden IC Focused Echography (ALIFE), Amsterdam, The Netherlands
| | - Jos Twisk
- grid.509540.d0000 0004 6880 3010Department of Epidemiology and Data Science, Amsterdam UMC, Location VU Medical Center, Amsterdam, The Netherlands
| | - Leo Heunks
- grid.509540.d0000 0004 6880 3010Department of Intensive Care Medicine, Amsterdam University Medical Centers, Location VU Medical Center, Amsterdam, The Netherlands
| | - Prabath W. B. Nanayakkara
- grid.509540.d0000 0004 6880 3010Section Acute Medicine, Department of Internal Medicine, Amsterdam UMC, Location VU Medical Center, Postbox 7507, 1007MB Amsterdam, The Netherlands
| | - Pieter Roel Tuinman
- grid.509540.d0000 0004 6880 3010Department of Intensive Care Medicine, Amsterdam University Medical Centers, Location VU Medical Center, Amsterdam, The Netherlands ,Amsterdam Leiden IC Focused Echography (ALIFE), Amsterdam, The Netherlands
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