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Wildi K, Bouquet M, Ainola C, Livingstone S, Colombo SM, Heinsar S, Sato N, Sato K, Wilson E, Abbate G, Passmore MR, Hyslop K, Liu K, Li Bassi G, Suen JY, Fraser JF. Differential Protein Expression among Two Different Ovine ARDS Phenotypes-A Preclinical Randomized Study. Metabolites 2022; 12:metabo12070655. [PMID: 35888779 PMCID: PMC9319228 DOI: 10.3390/metabo12070655] [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: 06/08/2022] [Revised: 07/08/2022] [Accepted: 07/13/2022] [Indexed: 01/25/2023] Open
Abstract
Despite decades of comprehensive research, Acute Respiratory Distress Syndrome (ARDS) remains a disease with high mortality and morbidity worldwide. The discovery of inflammatory subphenotypes in human ARDS provides a new approach to study the disease. In two different ovine ARDS lung injury models, one induced by additional endotoxin infusion (phenotype 2), mimicking some key features as described in the human hyperinflammatory group, we aim to describe protein expression among the two different ovine models. Nine animals on mechanical ventilation were included in this study and were randomized into (a) phenotype 1, n = 5 (Ph1) and (b) phenotype 2, n = 4 (Ph2). Plasma was collected at baseline, 2, 6, 12, and 24 h. After protein extraction, data-independent SWATH-MS was applied to inspect protein abundance at baseline, 2, 6, 12, and 24 h. Cluster analysis revealed protein patterns emerging over the study observation time, more pronounced by the factor of time than different injury models of ARDS. A protein signature consisting of 33 proteins differentiated among Ph1/2 with high diagnostic accuracy. Applying network analysis, proteins involved in the inflammatory and defense response, complement and coagulation cascade, oxygen binding, and regulation of lipid metabolism were activated over time. Five proteins, namely LUM, CA2, KNG1, AGT, and IGJ, were more expressed in Ph2.
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Affiliation(s)
- Karin Wildi
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
- Department of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, 4031 Basel, Switzerland
- Correspondence:
| | - Mahe Bouquet
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
| | - Carmen Ainola
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
| | - Samantha Livingstone
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
| | - Sebastiano Maria Colombo
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Department of Anaesthesia and Intensive Care Medicine, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Silver Heinsar
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
| | - Noriko Sato
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
| | - Kei Sato
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
| | - Emily Wilson
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
| | - Gabriella Abbate
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
| | - Margaret R. Passmore
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
| | - Kieran Hyslop
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
| | - Keibun Liu
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
| | - Gianluigi Li Bassi
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
- Medical Faculty, Queensland University of Technology, Brisbane 4059, Australia
- Uniting Care Hospitals, St Andrews War Memorial and The Wesley Intensive Care Units, Brisbane 4001, Australia
| | - Jacky Y. Suen
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
| | - John F. Fraser
- Critical Care Research Group, The Prince Charles Hospital, Brisbane 4032, Australia; (M.B.); (C.A.); (S.L.); (S.M.C.); (S.H.); (N.S.); (K.S.); (E.W.); (G.A.); (M.R.P.); (K.H.); (K.L.); (G.L.B.); (J.Y.S.); (J.F.F.)
- Medical Faculty, The University of Queensland, St. Lucia, Brisbane 4067, Australia
- Uniting Care Hospitals, St Andrews War Memorial and The Wesley Intensive Care Units, Brisbane 4001, Australia
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Maddali MV, Churpek M, Pham T, Rezoagli E, Zhuo H, Zhao W, He J, Delucchi KL, Wang C, Wickersham N, McNeil JB, Jauregui A, Ke S, Vessel K, Gomez A, Hendrickson CM, Kangelaris KN, Sarma A, Leligdowicz A, Liu KD, Matthay MA, Ware LB, Laffey JG, Bellani G, Calfee CS, Sinha P. Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis. THE LANCET. RESPIRATORY MEDICINE 2022; 10:367-377. [PMID: 35026177 PMCID: PMC8976729 DOI: 10.1016/s2213-2600(21)00461-6] [Citation(s) in RCA: 69] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/12/2021] [Accepted: 10/12/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Two acute respiratory distress syndrome (ARDS) subphenotypes (hyperinflammatory and hypoinflammatory) with distinct clinical and biological features and differential treatment responses have been identified using latent class analysis (LCA) in seven individual cohorts. To facilitate bedside identification of subphenotypes, clinical classifier models using readily available clinical variables have been described in four randomised controlled trials. We aimed to assess the performance of these models in observational cohorts of ARDS. METHODS In this observational, multicohort, retrospective study, we validated two machine-learning clinical classifier models for assigning ARDS subphenotypes in two observational cohorts of patients with ARDS: Early Assessment of Renal and Lung Injury (EARLI; n=335) and Validating Acute Lung Injury Markers for Diagnosis (VALID; n=452), with LCA-derived subphenotypes as the gold standard. The primary model comprised only vital signs and laboratory variables, and the secondary model comprised all predictors in the primary model, with the addition of ventilatory variables and demographics. Model performance was assessed by calculating the area under the receiver operating characteristic curve (AUC) and calibration plots, and assigning subphenotypes using a probability cutoff value of 0·5 to determine sensitivity, specificity, and accuracy of the assignments. We also assessed the performance of the primary model in EARLI using data automatically extracted from an electronic health record (EHR; EHR-derived EARLI cohort). In Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure (LUNG SAFE; n=2813), a multinational, observational ARDS cohort, we applied a custom classifier model (with fewer variables than the primary model) to determine the prognostic value of the subphenotypes and tested their interaction with the positive end-expiratory pressure (PEEP) strategy, with 90-day mortality as the dependent variable. FINDINGS The primary clinical classifier model had an area under receiver operating characteristic curve (AUC) of 0·92 (95% CI 0·90-0·95) in EARLI and 0·88 (0·84-0·91) in VALID. Performance of the primary model was similar when using exclusively EHR-derived predictors compared with manually curated predictors (AUC=0·88 [95% CI 0·81-0·94] vs 0·92 [0·88-0·97]). In LUNG SAFE, 90-day mortality was higher in patients assigned the hyperinflammatory subphenotype than in those with the hypoinflammatory phenotype (414 [57%] of 725 vs 694 [33%] of 2088; p<0·0001). There was a significant treatment interaction with PEEP strategy and ARDS subphenotype (p=0·041), with lower 90-day mortality in the high PEEP group of patients with the hyperinflammatory subphenotype (hyperinflammatory subphenotype: 169 [54%] of 313 patients in the high PEEP group vs 127 [62%] of 205 patients in the low PEEP group; hypoinflammatory subphenotype: 231 [34%] of 675 patients in the high PEEP group vs 233 [32%] of 734 patients in the low PEEP group). INTERPRETATION Classifier models using clinical variables alone can accurately assign ARDS subphenotypes in observational cohorts. Application of these models can provide valuable prognostic information and could inform management strategies for personalised treatment, including application of PEEP, once prospectively validated. FUNDING US National Institutes of Health and European Society of Intensive Care Medicine.
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Affiliation(s)
- Manoj V Maddali
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Stanford University, Stanford, CA, USA; Division of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Matthew Churpek
- Division of Allergy, Pulmonary, and Critical Care, Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Tai Pham
- Service de Médecine Intensive-Réanimation, AP-HP, Hôpital de Bicêtre, DMU 4 CORREVE Maladies du Cœur et des Vaisseaux, FHU Sepsis, Groupe de Recherche Clinique CARMAS, Le Kremlin-Bicêtre, France; Université Paris-Saclay, UVSQ, Université Paris-Sud, Inserm U1018, Equipe d'Epidémiologie Respiratoire Intégrative, CESP, 94807, Villejuif, France
| | - Emanuele Rezoagli
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Hanjing Zhuo
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Wendi Zhao
- Division of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - June He
- Division of Clinical and Translational Research, Washington University School of Medicine, St Louis, MO, USA
| | - Kevin L Delucchi
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Chunxue Wang
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nancy Wickersham
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - J Brennan McNeil
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alejandra Jauregui
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Serena Ke
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Kathryn Vessel
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Antonio Gomez
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA; Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA
| | - Carolyn M Hendrickson
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA; Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA, USA
| | - Kirsten N Kangelaris
- Division of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Aartik Sarma
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Aleksandra Leligdowicz
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
| | - Kathleen D Liu
- Division of Nephrology, University of California, San Francisco, San Francisco, CA, USA; Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Michael A Matthay
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA; Department of Anesthesia, University of California, San Francisco, San Francisco, CA, USA
| | - Lorraine B Ware
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John G Laffey
- School of Medicine, Regenerative Medicine Institute at CÚRAM Centre for Research in Medical Devices, National University of Ireland Galway, Galway, Ireland; Anaesthesia and Intensive Care Medicine, Galway University Hospitals, Galway, Ireland
| | - Giacomo Bellani
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Department of Anesthesia and Intensive Care Medicine, ASST Monza-Ospedale San Gerardo, Monza, Italy
| | - Carolyn S Calfee
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Anesthesia, University of California, San Francisco, San Francisco, CA, USA
| | - Pratik Sinha
- Division of Clinical and Translational Research, Washington University School of Medicine, St Louis, MO, USA; Department of Anesthesia, Division of Critical Care, Washington University, St Louis, MO, USA.
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Azad TD, Shah PP, Kim HB, Stevens RD. Endotypes and the Path to Precision in Moderate and Severe Traumatic Brain Injury. Neurocrit Care 2022; 37:259-266. [PMID: 35314969 DOI: 10.1007/s12028-022-01475-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/15/2022] [Indexed: 12/19/2022]
Abstract
Heterogeneity is recognized as a major barrier in efforts to improve the care and outcomes of patients with traumatic brain injury (TBI). Even within the narrower stratum of moderate and severe TBI, current management approaches do not capture the complexity of this condition characterized by manifold clinical, anatomical, and pathophysiologic features. One approach to heterogeneity may be to resolve undifferentiated TBI populations into endotypes, subclasses that are distinguished by shared biological characteristics. The endotype paradigm has been explored in a range of medical domains, including psychiatry, oncology, immunology, and pulmonology. In intensive care, endotypes are being investigated for syndromes such as sepsis and acute respiratory distress syndrome. This review provides an overview of the endotype paradigm as well as some of its methods and use cases. A conceptual framework is proposed for endotype research in moderate and severe TBI, together with a scientific road map for endotype discovery and validation in this population.
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Affiliation(s)
- Tej D Azad
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pavan P Shah
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Han B Kim
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Phipps Suite 455, Baltimore, MD, 21287, USA
| | - Robert D Stevens
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Phipps Suite 455, Baltimore, MD, 21287, USA.
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56
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Wick KD, McAuley DF, Levitt JE, Beitler JR, Annane D, Riviello ED, Calfee CS, Matthay MA. Promises and challenges of personalized medicine to guide ARDS therapy. Crit Care 2021; 25:404. [PMID: 34814925 PMCID: PMC8609268 DOI: 10.1186/s13054-021-03822-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 11/09/2021] [Indexed: 02/08/2023] Open
Abstract
Identifying new effective treatments for the acute respiratory distress syndrome (ARDS), including COVID-19 ARDS, remains a challenge. The field of ARDS investigation is moving increasingly toward innovative approaches such as the personalization of therapy to biological and clinical sub-phenotypes. Additionally, there is growing recognition of the importance of the global context to identify effective ARDS treatments. This review highlights emerging opportunities and continued challenges for personalizing therapy for ARDS, from identifying treatable traits to innovative clinical trial design and recognition of patient-level factors as the field of critical care investigation moves forward into the twenty-first century.
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Affiliation(s)
- Katherine D Wick
- Cardiovascular Research Institute, University of California San Francisco, 513 Parnassus Avenue, HSE 760, San Francisco, CA, 94143, USA.
| | - Daniel F McAuley
- Belfast Health and Social Care Trust, Royal Victoria Hospital and Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - Joseph E Levitt
- Division of Pulmonary, Allergy, and Critical Care Medicine, Stanford University, Stanford, CA, USA
| | - Jeremy R Beitler
- Center for Acute Respiratory Failure and Division of Pulmonary, Allergy, and Critical Care Medicine, Columbia University, New York, NY, USA
| | - Djillali Annane
- Department of Intensive Care, FHU SEPSIS, and RHU RECORDS, Hôpital Raymond Poincaré (APHP), Garches, France
- Laboratory of Infection & Inflammation, School of Medicine Simone Veil, INSERM, University Versailles Saint Quentin, University Paris Saclay, Garches, France
| | - Elisabeth D Riviello
- Harvard Medical School and Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Carolyn S Calfee
- Cardiovascular Research Institute, University of California San Francisco, 513 Parnassus Avenue, HSE 760, San Francisco, CA, 94143, USA
- Departments of Medicine and Anesthesia, University of California, San Francisco, San Francisco, CA, USA
| | - Michael A Matthay
- Cardiovascular Research Institute, University of California San Francisco, 513 Parnassus Avenue, HSE 760, San Francisco, CA, 94143, USA
- Departments of Medicine and Anesthesia, University of California, San Francisco, San Francisco, CA, USA
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