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Deniel G, Dhelft F, Lancelot S, Orkisz M, Roux E, Mouton W, Benzerdjeb N, Richard JC, Bitker L. Pulmonary inflammation decreases with ultra-protective ventilation in experimental ARDS under VV-ECMO: a positron emission tomography study. Front Med (Lausanne) 2024; 11:1338602. [PMID: 38444415 PMCID: PMC10912585 DOI: 10.3389/fmed.2024.1338602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/24/2024] [Indexed: 03/07/2024] Open
Abstract
Background Experimentally, ultra-protective ventilation (UPV, tidal volumes [VT] < 4 mL.kg-1) strategies in conjunction with veno-venous extracorporeal membrane oxygenation (VV-ECMO) are associated with lesser ventilator-induced lung injuries (VILI) during acute respiratory distress syndrome (ARDS). However, whether these strategies reduce lung inflammation more effectively than protective ventilation (PV) remains unclear. We aimed to demonstrate that a UPV strategy decreases acute lung inflammation in comparison with PV in an experimental swine model of ARDS. Methods ARDS was induced by tracheal instillation of chlorhydric acid in sedated and paralyzed animals under mechanical ventilation. Animals were randomized to receive either UPV (VT 1 mL.kg-1, positive end-expiration pressure [PEEP] set to obtain plateau pressure between 20 and 25 cmH2O and respiratory rate [RR] at 5 min-1 under VV-ECMO) or PV (VT 6 mL.kg-1, PEEP set to obtain plateau pressure between 28 and 30 cmH2O and RR at 25 min-1) during 4 h. After 4 h, a positron emission tomography with [11C](R)-PK11195 (ligand to TSPO-bearing macrophages) injection was realized, coupled with quantitative computerized tomography (CT). Pharmacokinetic multicompartment models were used to quantify regional [11C](R)-PK11195 lung uptake. [11C](R)-PK11195 lung uptake and CT-derived respiratory variables were studied regionally across eight lung regions distributed along the antero-posterior axis. Results Five pigs were randomized to each study group. Arterial O2 partial pressure to inspired O2 fraction were not significantly different between study groups after experimental ARDS induction (75 [68-80] mmHg in a PV group vs. 87 [69-133] mmHg in a UPV group, p = 0.20). Compared to PV animals, UPV animals exhibited a significant decrease in the regional non-aerated compartment in the posterior lung levels, in mechanical power, and in regional dynamic strain and no statistical difference in tidal hyperinflation after 4 h. UPV animals had a significantly lower [11C](R)-PK11195 uptake, compared to PV animals (non-displaceable binding potential 0.35 [IQR, 0.20-0.59] in UPV animals and 1.01 [IQR, 0.75-1.59] in PV animals, p = 0.01). Regional [11C](R)-PK11195 uptake was independently associated with the interaction of regional tidal hyperinflation and regional lung compliance. Conclusion In an experimental model of ARDS, 4 h of UPV strategy significantly decreased lung inflammation, in relation to the control of VT-derived determinants of VILI.
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Affiliation(s)
- Guillaume Deniel
- Service de Médecine Intensive-Réanimation, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
- Univ Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR, Villeurbanne, France
| | - François Dhelft
- Service de Médecine Intensive-Réanimation, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
- Université de Lyon, Université LYON 1, Lyon, France
| | - Sophie Lancelot
- Université de Lyon, Université LYON 1, Lyon, France
- CERMEP – Imagerie du Vivant, Lyon, France
- Hospices Civils de Lyon, Lyon, France
| | - Maciej Orkisz
- Univ Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR, Villeurbanne, France
| | - Emmanuel Roux
- Univ Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR, Villeurbanne, France
| | - William Mouton
- Laboratoire Commun de Recherche Hospices Civils de Lyon/bioMérieux, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France
| | - Nazim Benzerdjeb
- Université de Lyon, Université LYON 1, Lyon, France
- Centre d’Anatomie et Cytologie Pathologique, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France
| | - Jean-Christophe Richard
- Service de Médecine Intensive-Réanimation, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
- Univ Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR, Villeurbanne, France
- Université de Lyon, Université LYON 1, Lyon, France
| | - Laurent Bitker
- Service de Médecine Intensive-Réanimation, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
- Univ Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR, Villeurbanne, France
- Université de Lyon, Université LYON 1, Lyon, France
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Dhelft F, Lancelot S, Mouton W, Le Bars D, Costes N, Roux E, Orkisz M, Benzerdjeb N, Richard JC, Bitker L. Prone position decreases acute lung inflammation measured by [ 11C](R)-PK11195 positron emission tomography in experimental acute respiratory distress syndrome. J Appl Physiol (1985) 2023; 134:467-481. [PMID: 36633865 DOI: 10.1152/japplphysiol.00234.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Whether prone positioning (PP) modulates acute lung inflammation by the modulation of biomechanical forces of ventilator-induced lung injuries (VILIs) remains unclear. We aimed to demonstrate that PP decreases acute lung inflammation in animals with experimental acute respiratory distress syndrome (ARDS). Animals were under general anesthesia and protective ventilation (tidal volume 6 mL·kg-1, PEEP 5 cmH2O). ARDS was induced by intratracheal instillation of chlorohydric acid. Animals were then randomized to PP, or to supine position (SP). After 4 h, a positron emission tomography (PET) acquisition with [11C](R)-PK11195 was performed coupled with computerized tomography (CT) acquisitions, allowing the CT quantification of VILI-associated parameters. [11C](R)-PK11195 lung uptake was quantified using pharmacokinetic multicompartment models. Analyses were performed on eight lung sections distributed along the antero-posterior dimension. Six animals were randomized to PP, five to SP (median [Formula: see text]/[Formula: see text] [interquartile range]: 164 [102-269] mmHg). The normally aerated compartment was significantly redistributed to the posterior lung regions of animals in PP, compared with SP. Dynamic strain was significantly increased in posterior regions of SP animals, compared with PP. After 4 h, animals in PP had a significantly lower uptake of [11C](R)-PK11195, compared with SP. [11C](R)-PK11195 regional uptake was independently associated with the study group, dynamic strain, tidal hyperinflation, and regional respiratory system compliance in multivariate analysis. In an experimental model of ARDS, 4 h of PP significantly decreased acute lung inflammation assessed with PET. The beneficial impact of PP on acute lung inflammation was consecutive to the combination of decreased biomechanical forces and changes in the respiratory system mechanics.NEW & NOTEWORTHY Prone position decreases acute lung macrophage inflammation quantified in vivo with [11C](R)-PK11195 positron emission tomography in an experimental acute respiratory distress syndrome. Regional macrophage inflammation is maximal in the most anterior and posterior lung section of supine animals, in relation with increased regional tidal strain and hyperinflation, and reduced regional lung compliance.
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Affiliation(s)
- François Dhelft
- Service de Médecine Intensive - Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.,Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Villeurbanne, France.,Claude Bernard University Lyon 1, Lyon, France
| | - Sophie Lancelot
- Claude Bernard University Lyon 1, Lyon, France.,CERMEP - Imagerie du Vivant, Lyon, France.,Hospices Civils de Lyon, Lyon, France
| | - William Mouton
- Laboratoire Commun de Recherche Hospices Civils de Lyon/bioMérieux, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France
| | - Didier Le Bars
- Claude Bernard University Lyon 1, Lyon, France.,CERMEP - Imagerie du Vivant, Lyon, France.,Hospices Civils de Lyon, Lyon, France
| | - Nicolas Costes
- Claude Bernard University Lyon 1, Lyon, France.,CERMEP - Imagerie du Vivant, Lyon, France
| | - Emmanuel Roux
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Villeurbanne, France
| | - Maciej Orkisz
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Villeurbanne, France
| | - Nazim Benzerdjeb
- Centre d'Anatomie et Cytologie Pathologique, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France
| | - Jean-Christophe Richard
- Service de Médecine Intensive - Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.,Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Villeurbanne, France.,Claude Bernard University Lyon 1, Lyon, France
| | - Laurent Bitker
- Service de Médecine Intensive - Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.,Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Villeurbanne, France.,Claude Bernard University Lyon 1, Lyon, France
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Richard JC, Sigaud F, Gaillet M, Orkisz M, Bayat S, Roux E, Ahaouari T, Davila E, Boussel L, Ferretti G, Yonis H, Mezidi M, Danjou W, Bazzani A, Dhelft F, Folliet L, Girard M, Pozzi M, Terzi N, Bitker L. Response to PEEP in COVID-19 ARDS patients with and without extracorporeal membrane oxygenation. A multicenter case–control computed tomography study. Crit Care 2022; 26:195. [PMID: 35780154 PMCID: PMC9250720 DOI: 10.1186/s13054-022-04076-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/27/2022] [Indexed: 11/23/2022] Open
Abstract
Background PEEP selection in severe COVID-19 patients under extracorporeal membrane oxygenation (ECMO) is challenging as no study has assessed the alveolar recruitability in this setting. The aim of the study was to compare lung recruitability and the impact of PEEP on lung aeration in moderate and severe ARDS patients with or without ECMO, using computed tomography (CT). Methods We conducted a two-center prospective observational case–control study in adult COVID-19-related patients who had an indication for CT within 72 h of ARDS onset in non-ECMO patients or within 72 h after ECMO onset. Ninety-nine patients were included, of whom 24 had severe ARDS under ECMO, 59 severe ARDS without ECMO and 16 moderate ARDS. Results Non-inflated lung at PEEP 5 cmH2O was significantly greater in ECMO than in non-ECMO patients. Recruitment induced by increasing PEEP from 5 to 15 cmH2O was not significantly different between ECMO and non-ECMO patients, while PEEP-induced hyperinflation was significantly lower in the ECMO group and virtually nonexistent. The median [IQR] fraction of recruitable lung mass between PEEP 5 and 15 cmH2O was 6 [4–10]%. Total superimposed pressure at PEEP 5 cmH2O was significantly higher in ECMO patients and amounted to 12 [11–13] cmH2O. The hyperinflation-to-recruitment ratio (i.e., a trade-off index of the adverse effects and benefits of PEEP) was significantly lower in ECMO patients and was lower than one in 23 (96%) ECMO patients, 41 (69%) severe non-ECMO patients and 8 (50%) moderate ARDS patients. Compliance of the aerated lung at PEEP 5 cmH2O corrected for PEEP-induced recruitment (CBABY LUNG) was significantly lower in ECMO patients than in non-ECMO patients and was linearly related to the logarithm of the hyperinflation-to-recruitment ratio. Conclusions Lung recruitability of COVID-19 pneumonia is not significantly different between ECMO and non-ECMO patients, with substantial interindividual variations. The balance between hyperinflation and recruitment induced by PEEP increase from 5 to 15 cmH2O appears favorable in virtually all ECMO patients, while this PEEP level is required to counteract compressive forces leading to lung collapse. CBABY LUNG is significantly lower in ECMO patients, independently of lung recruitability. Supplementary Information The online version contains supplementary material available at 10.1186/s13054-022-04076-z.
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Bitker L, Talmor D, Richard JC. Imaging the acute respiratory distress syndrome: past, present and future. Intensive Care Med 2022; 48:995-1008. [PMID: 35833958 DOI: 10.1007/s00134-022-06809-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/27/2022] [Indexed: 12/13/2022]
Abstract
In patients with the acute respiratory distress syndrome (ARDS), lung imaging is a fundamental tool in the study of the morphological and mechanistic features of the lungs. Chest computed tomography studies led to major advances in the understanding of ARDS physiology. They allowed the in vivo study of the syndrome's lung features in relation with its impact on respiratory physiology and physiology, but also explored the lungs' response to mechanical ventilation, be it alveolar recruitment or ventilator-induced lung injuries. Coupled with positron emission tomography, morphological findings were put in relation with ventilation, perfusion or acute lung inflammation. Lung imaging has always been central in the care of patients with ARDS, with modern point-of-care tools such as electrical impedance tomography or lung ultrasounds guiding clinical reasoning beyond macro-respiratory mechanics. Finally, artificial intelligence and machine learning now assist imaging post-processing software, which allows real-time analysis of quantitative parameters that describe the syndrome's complexity. This narrative review aims to draw a didactic and comprehensive picture of how modern imaging techniques improved our understanding of the syndrome, and have the potential to help the clinician guide ventilatory treatment and refine patient prognostication.
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Protti A, Santini A, Pennati F, Chiurazzi C, Cressoni M, Ferrari M, Iapichino GE, Carenzo L, Lanza E, Picardo G, Caironi P, Aliverti A, Cecconi M. Lung response to a higher positive end-expiratory pressure in mechanically ventilated patients with COVID-19. Chest 2021; 161:979-988. [PMID: 34666011 PMCID: PMC8520168 DOI: 10.1016/j.chest.2021.10.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 09/25/2021] [Accepted: 10/06/2021] [Indexed: 01/17/2023] Open
Abstract
Background International guidelines suggest using a higher (> 10 cm H2O) positive end-expiratory pressure (PEEP) in patients with moderate-to-severe ARDS due to COVID-19. However, even if oxygenation generally improves with a higher PEEP, compliance, and Paco2 frequently do not, as if recruitment was small. Research Question Is the potential for lung recruitment small in patients with early ARDS due to COVID-19? Study Design and Methods Forty patients with ARDS due to COVID-19 were studied in the supine position within 3 days of endotracheal intubation. They all underwent a PEEP trial, in which oxygenation, compliance, and Paco2 were measured with 5, 10, and 15 cm H2O of PEEP, and all other ventilatory settings unchanged. Twenty underwent a whole-lung static CT scan at 5 and 45 cm H2O, and the other 20 at 5 and 15 cm H2O of airway pressure. Recruitment and hyperinflation were defined as a decrease in the volume of the non-aerated (density above −100 HU) and an increase in the volume of the over-aerated (density below −900 HU) lung compartments, respectively. Results From 5 to 15 cm H2O, oxygenation improved in 36 (90%) patients but compliance only in 11 (28%) and Paco2 only in 14 (35%). From 5 to 45 cm H2O, recruitment was 351 (161-462) mL and hyperinflation 465 (220-681) mL. From 5 to 15 cm H2O, recruitment was 168 (110-202) mL and hyperinflation 121 (63-270) mL. Hyperinflation variably developed in all patients and exceeded recruitment in more than half of them. Interpretation Patients with early ARDS due to COVID-19, ventilated in the supine position, present with a large potential for lung recruitment. Even so, their compliance and Paco2 do not generally improve with a higher PEEP, possibly because of hyperinflation.
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Affiliation(s)
- Alessandro Protti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy; Department of Anesthesia and Intensive Care Units, Humanitas Clinical and Research Center - IRCCS, Rozzano, Milan, Italy.
| | - Alessandro Santini
- Department of Anesthesia and Intensive Care Units, Humanitas Clinical and Research Center - IRCCS, Rozzano, Milan, Italy
| | - Francesca Pennati
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
| | - Chiara Chiurazzi
- Department of Anesthesia and Intensive Care Units, Humanitas Clinical and Research Center - IRCCS, Rozzano, Milan, Italy
| | - Massimo Cressoni
- Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Michele Ferrari
- Department of Anesthesia and Intensive Care Units, Humanitas Clinical and Research Center - IRCCS, Rozzano, Milan, Italy
| | - Giacomo E Iapichino
- Department of Anesthesia and Intensive Care Units, Humanitas Clinical and Research Center - IRCCS, Rozzano, Milan, Italy
| | - Luca Carenzo
- Department of Anesthesia and Intensive Care Units, Humanitas Clinical and Research Center - IRCCS, Rozzano, Milan, Italy
| | - Ezio Lanza
- Department of Radiology, Humanitas Clinical and Research Center - IRCCS, Rozzano, Milan, Italy
| | - Giorgio Picardo
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Pietro Caironi
- Department of Oncology, University of Turin, Turin, Italy; Department of Anesthesia and Critical Care, Azienda Ospedaliero-Universitaria S. Luigi Gonzaga, Orbassano, Italy
| | - Andrea Aliverti
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
| | - Maurizio Cecconi
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy; Department of Anesthesia and Intensive Care Units, Humanitas Clinical and Research Center - IRCCS, Rozzano, Milan, Italy
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Richard JC, Yonis H, Bitker L, Roche S, Wallet F, Dupuis C, Serrier H, Argaud L, Thiery G, Delannoy B, Pommier C, Abraham P, Muller M, Aubrun F, Sigaud F, Rigault G, Joffredo E, Mezidi M, Terzi N, Rabilloud M. Open-label randomized controlled trial of ultra-low tidal ventilation without extracorporeal circulation in patients with COVID-19 pneumonia and moderate to severe ARDS: study protocol for the VT4COVID trial. Trials 2021; 22:692. [PMID: 34635128 PMCID: PMC8503716 DOI: 10.1186/s13063-021-05665-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 09/28/2021] [Indexed: 12/15/2022] Open
Abstract
Background Acute respiratory distress syndrome (ARDS) is a severe complication of COVID-19 pneumonia, with a mortality rate amounting to 34–50% in moderate and severe ARDS, and is associated with prolonged duration of invasive mechanical ventilation. Such as in non-COVID ARDS, harmful mechanical ventilation settings might be associated with worse outcomes. Reducing the tidal volume down to 4 mL kg−1 of predicted body weight (PBW) to provide ultra-low tidal volume ventilation (ULTV) is an appealing technique to minimize ventilator-inducted lung injury. Furthermore, in the context of a worldwide pandemic, it does not require any additional material and consumables and may be applied in low- to middle-income countries. We hypothesized that ULTV without extracorporeal circulation is a credible option to reduce COVID-19-related ARDS mortality and duration of mechanical ventilation. Methods The VT4COVID study is a randomized, multi-centric prospective open-labeled, controlled superiority trial. Adult patients admitted in the intensive care unit with COVID-19-related mild to severe ARDS defined by a PaO2/FiO2 ratio ≤ 150 mmHg under invasive mechanical ventilation for less than 48 h, and consent to participate to the study will be eligible. Patients will be randomized into two balanced parallels groups, at a 1:1 ratio. The control group will be ventilated with protective ventilation settings (tidal volume 6 mL kg−1 PBW), and the intervention group will be ventilated with ULTV (tidal volume 4 mL kg−1 PBW). The primary outcome is a composite score based on 90-day all-cause mortality as a prioritized criterion and the number of ventilator-free days at day 60 after inclusion. The randomization list will be stratified by site of recruitment and generated using random blocks of sizes 4 and 6. Data will be analyzed using intention-to-treat principles. Discussion The purpose of this manuscript is to provide primary publication of study protocol to prevent selective reporting of outcomes, data-driven analysis, and to increase transparency. Enrollment of patients in the study is ongoing. Trial registration ClinicalTrials.govNCT04349618. Registered on April 16, 2020 Supplementary Information The online version contains supplementary material available at 10.1186/s13063-021-05665-z.
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Affiliation(s)
- Jean-Christophe Richard
- Université Lyon 1, Université de Lyon, Lyon, France. .,Medical Intensive Care Unit, Croix-Rousse Hospital, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France. .,CREATIS INSERM 1044 CNRS 5220, Villeurbanne, France.
| | - Hodane Yonis
- Medical Intensive Care Unit, Croix-Rousse Hospital, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Laurent Bitker
- Université Lyon 1, Université de Lyon, Lyon, France.,Medical Intensive Care Unit, Croix-Rousse Hospital, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.,CREATIS INSERM 1044 CNRS 5220, Villeurbanne, France
| | - Sylvain Roche
- Université Lyon 1, Université de Lyon, Lyon, France.,Pôle Santé Publique, Service de Biostatistique et Bioinformatique, Hospices Civils de Lyon, Lyon, France.,CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, Villeurbanne, France
| | - Florent Wallet
- Medical-Surgical Intensive Care Unit, Lyon-Sud Hospital, Hospices Civils de Lyon, Pierre-Bénite, France.,International Center of Research in Infectiology, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon University, Lyon, France
| | - Claire Dupuis
- Medical Intensive Care Unit, CHU Gabriel Montpied, Clermont-Ferrand, France
| | - Hassan Serrier
- Cellule Innovation, Délégation à la Recherche Clinique et à l'Innovation, Hospices Civils de Lyon, Lyon, France
| | - Laurent Argaud
- Medical Intensive Care Unit, Edouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France
| | - Guillaume Thiery
- Medical Intensive Care Unit, Hopital Nord, CHU Saint-Etienne, Saint-Priest En Jarez, France
| | - Bertrand Delannoy
- Medical-Surgical Intensive Care Unit, Clinique de la Sauvegarde, Lyon, France
| | - Christian Pommier
- Medical-Surgical Intensive Care Unit, Centre Hospitalier Saint Joseph-Saint Luc, Lyon, France
| | - Paul Abraham
- Surgical Intensive Care Unit, Edouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France
| | - Michel Muller
- Medical-Surgical Intensive Care Unit, Centre Hospitalier Annecy Genevois, Pringy, France
| | - Frederic Aubrun
- Surgical Intensive Care Unit, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, France
| | - Florian Sigaud
- Service de Médecine Intensive Réanimation, CHU Grenoble Alpes, La Tronche, France
| | - Guillaume Rigault
- Service de Médecine Intensive Réanimation, CHU Grenoble Alpes, La Tronche, France.,Université de Grenoble-Alpes, Grenoble, France
| | - Emilie Joffredo
- Medical-Surgical Intensive Care Unit, Lyon-Sud Hospital, Hospices Civils de Lyon, Pierre-Bénite, France
| | - Mehdi Mezidi
- Université Lyon 1, Université de Lyon, Lyon, France.,Medical Intensive Care Unit, Croix-Rousse Hospital, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Nicolas Terzi
- Service de Médecine Intensive Réanimation, CHU Grenoble Alpes, La Tronche, France.,Université de Grenoble-Alpes, Grenoble, France.,INSERM U1042, Grenoble, France
| | - Muriel Rabilloud
- Université Lyon 1, Université de Lyon, Lyon, France.,Pôle Santé Publique, Service de Biostatistique et Bioinformatique, Hospices Civils de Lyon, Lyon, France.,CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, Villeurbanne, France
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Singhal L, Garg Y, Yang P, Tabaie A, Wong AI, Mohammed A, Chinthala L, Kadaria D, Sodhi A, Holder AL, Esper A, Blum JM, Davis RL, Clifford GD, Martin GS, Kamaleswaran R. eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19. PLoS One 2021; 16:e0257056. [PMID: 34559819 PMCID: PMC8462682 DOI: 10.1371/journal.pone.0257056] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 08/21/2021] [Indexed: 01/08/2023] Open
Abstract
We present an interpretable machine learning algorithm called ‘eARDS’ for predicting ARDS in an ICU population comprising COVID-19 patients, up to 12-hours before satisfying the Berlin clinical criteria. The analysis was conducted on data collected from the Intensive care units (ICU) at Emory Healthcare, Atlanta, GA and University of Tennessee Health Science Center, Memphis, TN and the Cerner® Health Facts Deidentified Database, a multi-site COVID-19 EMR database. The participants in the analysis consisted of adults over 18 years of age. Clinical data from 35,804 patients who developed ARDS and controls were used to generate predictive models that identify risk for ARDS onset up to 12-hours before satisfying the Berlin criteria. We identified salient features from the electronic medical record that predicted respiratory failure among this population. The machine learning algorithm which provided the best performance exhibited AUROC of 0.89 (95% CI = 0.88–0.90), sensitivity of 0.77 (95% CI = 0.75–0.78), specificity 0.85 (95% CI = 085–0.86). Validation performance across two separate health systems (comprising 899 COVID-19 patients) exhibited AUROC of 0.82 (0.81–0.83) and 0.89 (0.87, 0.90). Important features for prediction of ARDS included minimum oxygen saturation (SpO2), standard deviation of the systolic blood pressure (SBP), O2 flow, and maximum respiratory rate over an observational window of 16-hours. Analyzing the performance of the model across various cohorts indicates that the model performed best among a younger age group (18–40) (AUROC = 0.93 [0.92–0.94]), compared to an older age group (80+) (AUROC = 0.81 [0.81–0.82]). The model performance was comparable on both male and female groups, but performed significantly better on the severe ARDS group compared to the mild and moderate groups. The eARDS system demonstrated robust performance for predicting COVID19 patients who developed ARDS at least 12-hours before the Berlin clinical criteria, across two independent health systems.
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Affiliation(s)
- Lakshya Singhal
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Yash Garg
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Philip Yang
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Azade Tabaie
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - A. Ian Wong
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Akram Mohammed
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
| | - Lokesh Chinthala
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
| | - Dipen Kadaria
- Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
| | - Amik Sodhi
- Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
| | - Andre L. Holder
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Annette Esper
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - James M. Blum
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America
- Department of Anaesthesia, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Robert L. Davis
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
| | - Gari D. Clifford
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America
- Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America
| | - Greg S. Martin
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Rishikesan Kamaleswaran
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America
- Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America
- * E-mail:
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Wang YC, Lu MC, Yang SF, Bien MY, Chen YF, Li YT. Respiratory care for the critical patients with 2019 novel coronavirus. Respir Med 2021; 186:106516. [PMID: 34218168 PMCID: PMC8215880 DOI: 10.1016/j.rmed.2021.106516] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 06/17/2021] [Accepted: 06/18/2021] [Indexed: 01/25/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is transmitted through respiratory droplets, aerosols and close contact. Cross infections occur because viruses spread rapidly among humans. Nineteen percent (19%) of the infected patients developed severe pneumonia and acute respiratory distress syndrome (ARDS). Hypoxemia usually occurs and patients may require oxygen therapy or mechanical ventilation (MV) support. In this article, recently published clinical experience and observational studies were reviewed. Corresponding respiratory therapy regarding different stages of infection is proposed. Infection control principles and respiratory strategies including oxygen therapy, non-invasive respiratory support (NIRS), intubation evaluation, equipment preparation, ventilator settings, special maneuvers comprise of the prone position (PP), recruitment maneuver (RM), extracorporeal membrane oxygenation (ECMO), weaning and extubation are summarized. Respiratory equipment and device disinfection recommendations are worked up. We expect this review article could be used as a reference by healthcare workers in patient care while minimizing the risk of environmental contamination.
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Affiliation(s)
- Yao-Chen Wang
- Division of Pulmonary Medicine, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung, 402306, Taiwan; School of Medicine, Chung Shan Medical University, Taichung, 402306, Taiwan.
| | - Min-Chi Lu
- Division of Infectious Diseases, Department of Internal Medicine, China Medical University Hospital, Taichung, 404332, Taiwan; Department of Microbiology and Immunology, School of Medicine, China Medical University, Taichung, 406040, Taiwan.
| | - Shun-Fa Yang
- Institute of Medicine, Chung San Medical University, Taichung, 402306, Taiwan; Department of Medical Research, Chung Shan Medical University Hospital, Taichung, 402306, Taiwan.
| | - Mauo-Ying Bien
- Division of Pulmonary Medicine, Department of Internal Medicine, Wan Fang Hospital, Taipei, 116081, Taiwan; School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, 110301, Taiwan.
| | - Yi-Fang Chen
- Division of Respiratory Therapy, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung, 402306, Taiwan.
| | - Yia-Ting Li
- Institute of Medicine, Chung San Medical University, Taichung, 402306, Taiwan; Division of Respiratory Therapy, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung, 402306, Taiwan.
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