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Nasa P, Bos LD, Estenssoro E, van Haren FMP, Neto AS, Rocco PRM, Slutsky AS, Schultz MJ. Defining and subphenotyping ARDS: insights from an international Delphi expert panel. THE LANCET. RESPIRATORY MEDICINE 2025:S2213-2600(25)00115-8. [PMID: 40315883 DOI: 10.1016/s2213-2600(25)00115-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Revised: 03/10/2025] [Accepted: 03/21/2025] [Indexed: 05/04/2025]
Abstract
Although the definition of acute respiratory distress syndrome (ARDS) has undergone numerous revisions aimed at enhancing its diagnostic accuracy and clinical practicality, the usefulness and precision of these definitions remain matters of ongoing discussion. In this Position Paper, we report on a Delphi study to reach a consensus on the conceptual model of ARDS, specifically identifying its defining components within clinical, research, and educational contexts as well as exploring the potential role of subphenotyping. We did a four-round Delphi study, involving experts in ARDS research and management from a diverse range of geoeconomic regions and professional backgrounds. Consensus was achieved for the conceptual model of ARDS; key components to be included for an ARDS definition in the context of research, education, and patient management; and the need for further research in subphenotyping ARDS. Additionally, we highlight knowledge gaps and research priorities that could guide future investigations in this area. Our study builds on previous non-Delphi-based consensus processes (eg, the new global definition of ARDS and recent society-based guidelines) by using a rigorous Delphi method that ensured panellist anonymity and used clear quantitative criteria to mitigate potential peer pressure and group conformity. The findings underscore the need to refine the ARDS definition to better account for the heterogeneity of clinical presentations and underlying pathophysiology, and to improve diagnostic precision, including the use of subphenotyping where appropriate.
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Affiliation(s)
- Prashant Nasa
- Department of Critical Care Medicine, NMC Specialty Hospital, Dubai, United Arab Emirates; Department of Intensive Care, Amsterdam University Medical Center, Amsterdam, Netherlands; Department of Anaesthesia and Critical Care Medicine, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK.
| | - Lieuwe D Bos
- Department of Intensive Care, Amsterdam University Medical Center, Amsterdam, Netherlands; Laboratory of Experimental Intensive Care and Anesthesiology, Amsterdam University Medical Center, Amsterdam, Netherlands; Department of Respiratory Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Elisa Estenssoro
- Facultad de Ciencias Médicas, Universidad Nacional de la Plata, La Plata, Argentina; Departmento de Investigacion, Ministerio de Salud de la Provincia de Buenos Aires, La Plata, Argentina; Intensive Care Unit, Hospital San Martin, La Plata, Argentina
| | - Frank M P van Haren
- Australian National University, Canberra, ACT, Australia; Intensive Care Unit, St George Hospital, Sydney, NSW, Australia
| | - Ary Serpa Neto
- Department of Intensive Care, Amsterdam University Medical Center, Amsterdam, Netherlands; Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, Australia; Department of Intensive Care, Austin Hospital, Melbourne, VIC, Australia; Department of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Patricia R M Rocco
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Arthur S Slutsky
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; St Michael's Hospital, Li Ka Shing Knowledge Institute, Toronto, ON, Canada
| | - Marcus J Schultz
- Department of Intensive Care, Amsterdam University Medical Center, Amsterdam, Netherlands; Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand; Nuffield Department of Medicine, University of Oxford, Oxford, UK; Department of Anesthesia and Intensive Care Medicine, Division of Cardiothoracic and Vascular Anesthesia and Intensive Care Medicine, Medical University of Vienna, Vienna, Austria
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Voigt I, Graf T, Wengenmayer T, Staudacher DL, Preusch M, Jung C, Michels G. [Cardiac resuscitation-associated lung edema (CRALE): evaluation of diagnostic and therapeutic approaches by an expert group of the German Cardiac Society]. Med Klin Intensivmed Notfmed 2025:10.1007/s00063-025-01268-7. [PMID: 40126642 DOI: 10.1007/s00063-025-01268-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 01/31/2025] [Accepted: 03/02/2025] [Indexed: 03/26/2025]
Abstract
Sudden cardiac arrest (CA) is one of the leading causes of death in Europe, with over 70,000 cases annually in Germany. This study aims to evaluate diagnostic and therapeutic approaches for pulmonary edema in the post-resuscitation phase among intensive care physicians in Germany. Methods: The Working Group on Cardiopulmonary Resuscitation (AG42) of the German Cardiac Society conducted a web-based survey among its members. The survey assessed diagnostic methods, therapeutic strategies, and risk factors related to pulmonary edema after resuscitation. Results: A total of 77 participants, with a mean age of 43.9 years (±9.6), took part in the survey. Among them, 54.5% had more than 10 years of clinical experience in acute and intensive care medicine. Most clinics have access to radiological and sonographic procedures as well as advanced hemodynamic monitoring. Diagnostic measures are predominantly performed immediately upon admission (49.4%) or within one hour (36.4%) and are typically monitored every eight hours (77.9%). The oxygenation index (paO2/FiO2) is used by 64.9% to assess the severity of pulmonary edema, followed by qualitative evaluation of chest X-rays (46.8%) and B-line scoring via lung ultrasound (33.8%). Therapeutic approaches focus on optimizing ventilation parameters, hemodynamic management, and the use of loop diuretics. To prevent pulmonary edema, participants favor a differentiated therapy involving volume and vasoactive agents, guided by invasive hemodynamic measurements. Conclusion: Pulmonary edema, alongside cardiac and cerebral dysfunctions, represents a significant challenge in managing post-resuscitation syndromes. The survey results reveal substantial variability in diagnostic and therapeutic approaches. Prospective studies are needed to better understand the complex pathological mechanisms and develop standardized protocols.
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Affiliation(s)
- Ingo Voigt
- Klinik für Akut- und Notfallmedizin, Elisabeth-Krankenhaus Essen, Essen, Deutschland.
| | - Tobias Graf
- Universitäres Herzzentrum Lübeck, Medizinische Klinik II (Kardiologie, Angiologie, Intensivmedizin), Universitätsklinikum Schleswig-Holstein, Lübeck, Deutschland
| | - Tobias Wengenmayer
- Interdisziplinäre Medizinische Intensivtherapie (IMIT), Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Dawid L Staudacher
- Interdisziplinäre Medizinische Intensivtherapie (IMIT), Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Michael Preusch
- Sektion Internistische Intensivmedizin, Medizinische Klinik III, Universitätsklinikum Heidelberg, Heidelberg, Deutschland
| | - Christan Jung
- Klinik für Kardiologie, Pneumologie und Angiologie, Universitätsklinikum Düsseldorf, Düsseldorf, Deutschland
| | - Guido Michels
- Notfallzentrum, Krankenhaus der Barmherzigen Brüder Trier, Trier, Deutschland
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DiChiacchio L, Ibrahim I, Grazioli A, Bionghi N, Batra K, Chabbra S, Ladikos N, Kaza V, Bollineni S, Mohanka MR, Lawrence A, Torres F, Iacono A, Herr D, Timofte I. Improvement in radiologic findings over time is associated with increased survival in patients with viral ARDS requiring extracorporeal membrane oxygenation. Lung India 2025; 42:91-96. [PMID: 40013626 PMCID: PMC11952723 DOI: 10.4103/lungindia.lungindia_501_24] [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: 10/09/2024] [Revised: 11/27/2024] [Accepted: 11/29/2024] [Indexed: 02/28/2025] Open
Abstract
INTRODUCTION Acute respiratory distress syndrome (ARDS) requiring venovenous extracorporeal membrane oxygenation (VV ECMO) support is associated with chest radiograph changes commonly referred to as "drowning ECMO lung" ECMO lung presents as white-out of both lung fields, involving all lobes of the bilateral lungs. While the clinical significance of chest radiograph findings over time has been described in the general ARDS population, it has not been evaluated specifically in VV ECMO patients. This subpopulation suffers the most severe disease as well as the confounding effects of ECMO support. MATERIALS AND METHODS We identified 28 patients requiring VV ECMO cannulation for influenza-related ARDS between September 2009 and January 2018. Interpretation of chest X-ray images was divided into zones that correspond to anatomical lobes on computed tomography. Progression of radiologic injury was assessed by analysing the number of zones involved on the chest radiograph (X-ray) at days 1, 3, 7, 14, and 21 from cannulation and discharge. The primary endpoint was survival to hospital discharge. RESULTS The majority of patients had complete opacification on days 1, 3, and 7 after VV ECMO cannulation. Patients with persistent complete opacification on chest X-ray infiltrate by day 14, following cannulation had an increased mortality. Survival to hospital discharge was increased in patients demonstrating improvement in radiological findings at day 19 compared to patients without significant radiologic improvement (100% vs 53%, log-rank P = 0.003). CONCLUSION The evolution and recovery of lung injury reflected by serial chest X-ray imaging studies after influenza-related ARDS requiring VV ECMO support is associated with improved survival in this single centre, retrospective cohort.
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Affiliation(s)
- Laura DiChiacchio
- Department of Cardiothoracic Surgery, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Ikeoluwapo Ibrahim
- Department of Anesthesiology, Yale New Haven Hospital, New Haven, Connecticut, USA
| | - Alison Grazioli
- Department of Nephrology, University of Maryland Medical System, Baltimore, Maryland, USA
| | - Neda Bionghi
- Division of Pulmonology and Critical Care, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Kiran Batra
- Division of Cardiothoracic Imaging, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Sameer Chabbra
- Medical Student, Medical College of Wisconsin, Wauwatosa, Wisconsin, USA
| | - Nicholas Ladikos
- Department of Pharmacy, Texas Tech University Health Sciences Center, Dallas, Texas, USA
| | - Vaidehi Kaza
- Division of Pulmonology and Critical Care, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Srinivas Bollineni
- Division of Pulmonology and Critical Care, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Manish R. Mohanka
- Department of Pulmonary Disease and Critical Care Medicine, Northwell Health Physician Partners, Manhasset, New York, USA
| | - Adrian Lawrence
- Division of Pulmonology and Critical Care, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Fernando Torres
- Division of Pulmonology and Critical Care, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Aldo Iacono
- Department of Pulmonary Disease and Critical Care Medicine, Northwell Health Physician Partners, Manhasset, New York, USA
| | - Daniel Herr
- Department of Critical Care, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Irina Timofte
- Division of Pulmonology and Critical Care, UT Southwestern Medical Center, Dallas, Texas, USA
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Jayasimhan D, Matthay MA. Definitions of Acute Respiratory Distress Syndrome: Present Recommendations and Challenges. Clin Chest Med 2024; 45:785-795. [PMID: 39442997 DOI: 10.1016/j.ccm.2024.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2024]
Abstract
Acute respiratory distress syndrome (ARDS) is an acute inflammatory process resulting in diffuse lung injury precipitated by an underlying risk factor. However, current definitions may pose barriers to the accurate diagnosis of this syndrome. These include changes in risk factors and associated disease evolution of ARDS, changes in contemporary clinical practice, and access to diagnostic tools required to diagnose ARDS in resource-limited settings. A consensus conference has proposed changes for an expanded global definition of ARDS. In this review article, we review challenges in defining ARDS and present recommendations of the global definition of ARDS.
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Affiliation(s)
- Dilip Jayasimhan
- Intensive Care Unit, Wellington Regional Hospital, Te Whatu Ora Health New Zealand- Capital, Coast and Hutt Valley, 49 Riddiford Street, Wellington 6021, New Zealand
| | - Michael A Matthay
- Department of Medicine, University of California-San Francisco, San Francisco, CA 94143, USA; Department of Anesthesia, University of California-San Francisco, San Francisco, CA 94143, USA; Cardiovascular Research Institute, University of California-San Francisco, San Francisco, CA 94143, USA.
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Lin X, Wang F, Wang Y. Study on the Predictive Value of a Pulmonary Edema Imaging Score for Delayed Extubation in Patients after Heart Valve Surgery on Cardiopulmonary Bypass. Rev Cardiovasc Med 2024; 25:387. [PMID: 39484127 PMCID: PMC11522776 DOI: 10.31083/j.rcm2510387] [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: 03/21/2024] [Revised: 07/07/2024] [Accepted: 07/12/2024] [Indexed: 11/03/2024] Open
Abstract
Background Delayed extubation with mechanical ventilation after cardiac valve surgery is an important clinical challenge. Early extubation can improve the survival rate and prognosis of patients. The study aims to explore the predictive value of a chest X-ray pulmonary edema imaging score on the first day after surgery for delayed extubation in patients after cardiac valve surgery on cardiopulmonary bypass. Method Retrospective analysis of the clinical data of patients undergoing cardiac valve surgery under extracorporeal circulation admitted to the intensive care unit of Zhongshan Hospital Affiliated with Fudan University (Xiamen) from January 2020 to October 2023. The patients were divided into an early extubation group according to the postoperative mechanical ventilation time (time: <24 h) and a delayed extubation group (time: ≥24 h). The radiographic assessment of lung edema (RALE) score was performed on the chest X-ray of the patient on the first day after surgery to analyze the correlation between delayed extubation of mechanical ventilation and the chest radiograph RALE score on the first day after surgery and to verify its predictive performance. Results Significant differences in age, the incidence of hypertension, body mass index (BMI), left ventricular ejection fraction (LVEF), pump time, RALE score, ventilation time, oxygenation index, PaCO2, and brain natriuretic peptide (BNP) levels after the first 24 h were seen between patients who were extubated before and 24 h post operation (p = 0.013, 0.001, 0.034, <0.001, <0.001, <0.001, <0.001, <0.001, 0.014, and <0.001, respectively). No significant differences were observed in the proportion of males and the lactate level after the first 24 h between the two groups (p = 0.792 and 0.191, respectively). The time of mechanical ventilation was positively correlated with the RALE score in all patients, and the correlation coefficient was 0.419; the difference was statistically significant (p < 0.001). Multivariate binary logistic regression analysis with stepwise regression was performed on each research factor, and it was found that RALE score, pump time, oxygenation index, and postoperative BNP were independent risk factors for predicting delayed extubation in patients undergoing cardiac surgery on cardiopulmonary bypass. A 10-fold cross-validation revealed that the mean accuracy, sensitivity, specificity, and area under the curve (AUC) of the regression model were 0.737, 0.749, 0.741, and 0.825, respectively. Conclusions The RALE score on the chest radiograph on the first day after surgery is an independent risk factor for predicting delayed extubation in patients after cardiac valve surgery on cardiopulmonary bypass and has good predictive value.
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Affiliation(s)
- Xuefeng Lin
- Department of Critical Care Medicine, Zhongshan Hospital (Xiamen), Fudan University, 361015 Xiamen, Fujian, China
| | - Funan Wang
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 361015 Xiamen, Fujian, China
| | - Yuting Wang
- Department of Critical Care Medicine, Zhongshan Hospital (Xiamen), Fudan University, 361015 Xiamen, Fujian, China
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Sinnige JS, Filippini DFL, Hagens LA, Heijnen NFL, Schnabel RM, Schultz MJ, Bergmans DCJJ, Bos LDJ, Smit MR. Associations of early changes in lung ultrasound aeration scores and mortality in invasively ventilated patients: a post hoc analysis. Respir Res 2024; 25:268. [PMID: 38978068 PMCID: PMC11232207 DOI: 10.1186/s12931-024-02893-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 06/26/2024] [Indexed: 07/10/2024] Open
Abstract
BACKGROUND Lung ultrasound (LUS) in an emerging technique used in the intensive care unit (ICU). The derivative LUS aeration score has been shown to have associations with mortality in invasively ventilated patients. This study assessed the predictive value of baseline and early changes in LUS aeration scores in critically ill invasively ventilated patients with and without ARDS (Acute Respiratory Distress Syndrome) on 30- and 90-day mortality. METHODS This is a post hoc analysis of a multicenter prospective observational cohort study, which included patients admitted to the ICU with an expected duration of ventilation for at least 24 h. We restricted participation to patients who underwent a 12-region LUS exam at baseline and had the primary endpoint (30-day mortality) available. Logistic regression was used to analyze the primary and secondary endpoints. The analysis was performed for the complete patient cohort and for predefined subgroups (ARDS and no ARDS). RESULTS A total of 442 patients were included, of whom 245 had a second LUS exam. The baseline LUS aeration score was not associated with mortality (1.02 (95% CI: 0.99 - 1.06), p = 0.143). This finding was not different in patients with and in patients without ARDS. Early deterioration of the LUS score was associated with mortality (2.09 (95% CI: 1.01 - 4.3), p = 0.046) in patients without ARDS, but not in patients with ARDS or in the complete patient cohort. CONCLUSION In this cohort of critically ill invasively ventilated patients, the baseline LUS aeration score was not associated with 30- and 90-day mortality. An early change in the LUS aeration score was associated with mortality, but only in patients without ARDS. TRIAL REGISTRATION ClinicalTrials.gov, ID NCT04482621.
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Affiliation(s)
- Jante S Sinnige
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, the Netherlands.
| | - Daan F L Filippini
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, the Netherlands
| | - Laura A Hagens
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, the Netherlands
| | - Nanon F L Heijnen
- Department of Intensive Care, Maastricht UMC+, Maastricht University, Maastricht, 6229 HX, The Netherlands
- School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, 6229 ER, The Netherlands
| | - Ronny M Schnabel
- Department of Intensive Care, Maastricht UMC+, Maastricht University, Maastricht, 6229 HX, The Netherlands
| | - Marcus J Schultz
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, the Netherlands
- Mahidol Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok, 10400, Thailand
- Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7BN, UK
- Department of Anesthesia, General Intensive Care and Pain Management, Division of Cardiothoracic and Vascular Anesthesia & Critical Care Medicine, Medical University of Vienna, Vienna, Austria
- Laboratory of Experimental Intensive Care and Anaesthesiology (L.E.I.C.A.), University of Amsterdam, Amsterdam, 1105 AZ, The Netherlands
| | - Dennis C J J Bergmans
- Department of Intensive Care, Maastricht UMC+, Maastricht University, Maastricht, 6229 HX, The Netherlands
- School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, 6229 ER, The Netherlands
| | - Lieuwe D J Bos
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, the Netherlands
- Department of Pulmonology, Amsterdam UMC, University of Amsterdam, Amsterdam, 1105 AZ, The Netherlands
- Laboratory of Experimental Intensive Care and Anaesthesiology (L.E.I.C.A.), University of Amsterdam, Amsterdam, 1105 AZ, The Netherlands
| | - Marry R Smit
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, the Netherlands
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Estenssoro E, González I, Plotnikow GA. Post-pandemic acute respiratory distress syndrome: A New Global Definition with extension to lower-resource regions. Med Intensiva 2024; 48:272-281. [PMID: 38644108 DOI: 10.1016/j.medine.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 01/27/2024] [Indexed: 04/23/2024]
Abstract
Acute respiratory distress syndrome (ARDS), first described in 1967, is characterized by acute respiratory failure causing profound hypoxemia, decreased pulmonary compliance, and bilateral CXR infiltrates. After several descriptions, the Berlin definition was adopted in 2012, which established three categories of severity according to hypoxemia (mild, moderate and severe), specified temporal aspects for diagnosis, and incorporated the use of non-invasive ventilation. The COVID-19 pandemic led to changes in ARDS management, focusing on continuous monitoring of oxygenation and on utilization of high-flow oxygen therapy and lung ultrasound. In 2021, a New Global Definition based on the Berlin definition of ARDS was proposed, which included a category for non-intubated patients, considered the use of SpO2, and established no particular requirement for oxygenation support in regions with limited resources. Although debates persist, the continuous evolution seeks to adapt to clinical and epidemiological needs, and to the search of personalized treatments.
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Affiliation(s)
- Elisa Estenssoro
- Escuela de Gobierno en Salud, Ministerio de Salud, Buenos Aires, Argentina; Facultad de Ciencias Médicas, Universidad Nacional de La Plata, Buenos Aires, Argentina.
| | - Iván González
- Servicio de Rehabilitación, Área de Kinesiología Crítica, Hospital Británico de Buenos Aires, CABA, Argentina
| | - Gustavo A Plotnikow
- Servicio de Rehabilitación, Área de Kinesiología Crítica, Hospital Británico de Buenos Aires, CABA, Argentina; Facultad de Medicina y Ciencias de la Salud, Universidad Abierta Interamericana, Argentina
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Nasa P, Bos LD, Estenssoro E, van Haren FM, Serpa Neto A, Rocco PR, Slutsky AS, Schultz MJ. Consensus statements on the utility of defining ARDS and the utility of past and current definitions of ARDS-protocol for a Delphi study. BMJ Open 2024; 14:e082986. [PMID: 38670604 PMCID: PMC11057280 DOI: 10.1136/bmjopen-2023-082986] [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: 12/08/2023] [Accepted: 04/02/2024] [Indexed: 04/28/2024] Open
Abstract
INTRODUCTION Acute respiratory distress syndrome (ARDS), marked by acute hypoxemia and bilateral pulmonary infiltrates, has been defined in multiple ways since its first description. This Delphi study aims to collect global opinions on the conceptual framework of ARDS, assess the usefulness of components within current and past definitions and investigate the role of subphenotyping. The varied expertise of the panel will provide valuable insights for refining future ARDS definitions and improving clinical management. METHODS A diverse panel of 35-40 experts will be selected based on predefined criteria. Multiple choice questions (MCQs) or 7-point Likert-scale statements will be used in the iterative Delphi rounds to achieve consensus on key aspects related to the utility of definitions and subphenotyping. The Delphi rounds will be continued until a stable agreement or disagreement is achieved for all statements. ANALYSIS Consensus will be considered as reached when a choice in MCQs or Likert-scale statement achieved ≥80% of votes for agreement or disagreement. The stability will be checked by non-parametric χ2 tests or Kruskal Wallis test starting from the second round of Delphi process. A p-value ≥0.05 will be used to define stability. ETHICS AND DISSEMINATION The study will be conducted in full concordance with the principles of the Declaration of Helsinki and will be reported according to CREDES guidance. This study has been granted an ethical approval waiver by the NMC Healthcare Regional Research Ethics Committee, Dubai (NMCHC/CR/DXB/REC/APP/002), owing to the nature of the research. Informed consent will be obtained from all panellists before the start of the Delphi process. The study will be published in a peer-review journal with the authorship agreed as per ICMJE requirements. TRIAL REGISTRATION NUMBER NCT06159465.
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Affiliation(s)
- Prashant Nasa
- Department of Intensive Care, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Critical Care Medicine, NMC Specialty Hospital, Dubai, UAE
| | - Lieuwe D Bos
- Department of Intensive Care, Amsterdam UMC, Amsterdam, The Netherlands
- Laboratory of Experimental Intensive Care and Anesthesiology, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Respiratory Medicine, Amsterdam UMC, Amsterdam, Netherlands
| | - Elisa Estenssoro
- Facultad de Ciencias Médicas, Universidad Nacional de la Plata, La Plata, Argentina
- Ministerio de Salud de la Provincia de Buenos Aires, La Plata, Argentina
| | - Frank Mp van Haren
- College of Health and Medicine, Australian National University, Canberra, ACT, Australia
- Intensive Care Unit, St George Hospital, Sydney, NSW, Australia
| | - Ary Serpa Neto
- Department of Intensive Care, Amsterdam UMC, Amsterdam, The Netherlands
- Monash University, Clayton, VIC, Australia
- Austin Hospital, Heidelberg, VIC, Australia
- Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Patricia Rm Rocco
- Laboratory of Pulmonary Investigations, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Arthur S Slutsky
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- St Michael's Hospital Li Ka Shing Knowledge Institute, Toronto, Ontario, Canada
| | - Marcus J Schultz
- Department of Intensive Care, Amsterdam UMC, Amsterdam, The Netherlands
- Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
- Nuffield Department of Medicine, Oxford University, Oxford, UK
- Department of Anaesthesiology, General Intensive Care and Pain Medicine, Division of Cardiac Thoracic Vascular Anesthesia and Intensive Care Medicine, Medical University Vienna, Vienna, Austria
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Li T, Li W, Chen F, Xu Q, Du G, Fu Y, Yuan L, Zhang S, Wu W, He P, Xia M. The chest X-ray score baseline in predicting continuous oxygen therapy failure in low-risk aged patients after thoracic surgery. J Thorac Dis 2024; 16:1885-1899. [PMID: 38617782 PMCID: PMC11009605 DOI: 10.21037/jtd-23-1786] [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: 11/20/2023] [Accepted: 02/02/2024] [Indexed: 04/16/2024]
Abstract
Background Radiographic severity assessment can be instrumental in diagnosing postoperative pulmonary complications (PPCs) and guiding oxygen therapy. The radiographic assessment of lung edema (RALE) and Brixia scores correlate with disease severity, but research on low-risk elderly patients is lacking. This study aimed to assess the efficacy of two chest X-ray scores in predicting continuous oxygen therapy (COT) treatment failure in patients over 70 years of age after thoracic surgery. Methods From January 2019 to December 2021, we searched for patients aged 70 years and above who underwent thoracic surgery and received COT treatment, with a focus on those at low risk of respiratory complications. Bedside chest X-rays, RALE, Brixia scores, and patient data were collected. Univariate, multivariate analyses, and 1:2 matching identified risk factors. Receiver operating characteristic (ROC) curves determined score sensitivity, specificity, and predictive values. Results Among the 242 patients surviving to discharge, 19 (7.9%) patients experienced COT failure. COT failure correlated with esophageal cancer surgeries, thoracotomies (36.8% vs. 9%, P=0.003; 26.3% vs. 9.4%, P=0.004), and longer operation time (3.4 vs. 2.8 h, P=0.003). Surgical approach and RALE score were independent risk factors. The prediction model had an area under the curve (AUC) of 0.839 [95% confidence interval (CI), 0.740-0.938]. Brixia and RALE scores predicted COT failure with AUCs of 0.764 (95% CI, 0.650-0.878) with a cut-off value of 6.027 and 0.710 (95% CI, 0.588-0.832) with a cut-off value of 17.134, respectively, after 1:2 matching. Conclusions The RALE score predict the risk of COT failure in elderly, low-risk thoracic patients better than the Brixia score. This simple, cheap, and noninvasive method helps evaluate postoperative lung damage, monitor treatment response, and provide early warning for oxygen therapy escalation. Further studies are required to confirm the validity and applicability of this model in different settings and populations.
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Affiliation(s)
- Tongxin Li
- Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China
| | - Weina Li
- Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China
| | - Fengxi Chen
- Department of Radiology, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China
| | - Qianfeng Xu
- Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China
| | - Gaoli Du
- Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yong Fu
- Department of Cardiothoracic Surgery, Dianjiang People’s Hospital of Chongqing, Chongqing, China
| | - Lihui Yuan
- Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China
| | - Sha Zhang
- Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wei Wu
- Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ping He
- Department of Cardiac Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China
| | - Mei Xia
- Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China
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10
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Matthay MA, Arabi Y, Arroliga AC, Bernard G, Bersten AD, Brochard LJ, Calfee CS, Combes A, Daniel BM, Ferguson ND, Gong MN, Gotts JE, Herridge MS, Laffey JG, Liu KD, Machado FR, Martin TR, McAuley DF, Mercat A, Moss M, Mularski RA, Pesenti A, Qiu H, Ramakrishnan N, Ranieri VM, Riviello ED, Rubin E, Slutsky AS, Thompson BT, Twagirumugabe T, Ware LB, Wick KD. A New Global Definition of Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med 2024; 209:37-47. [PMID: 37487152 PMCID: PMC10870872 DOI: 10.1164/rccm.202303-0558ws] [Citation(s) in RCA: 229] [Impact Index Per Article: 229.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 07/24/2023] [Indexed: 07/26/2023] Open
Abstract
Background: Since publication of the 2012 Berlin definition of acute respiratory distress syndrome (ARDS), several developments have supported the need for an expansion of the definition, including the use of high-flow nasal oxygen, the expansion of the use of pulse oximetry in place of arterial blood gases, the use of ultrasound for chest imaging, and the need for applicability in resource-limited settings. Methods: A consensus conference of 32 critical care ARDS experts was convened, had six virtual meetings (June 2021 to March 2022), and subsequently obtained input from members of several critical care societies. The goal was to develop a definition that would 1) identify patients with the currently accepted conceptual framework for ARDS, 2) facilitate rapid ARDS diagnosis for clinical care and research, 3) be applicable in resource-limited settings, 4) be useful for testing specific therapies, and 5) be practical for communication to patients and caregivers. Results: The committee made four main recommendations: 1) include high-flow nasal oxygen with a minimum flow rate of ⩾30 L/min; 2) use PaO2:FiO2 ⩽ 300 mm Hg or oxygen saturation as measured by pulse oximetry SpO2:FiO2 ⩽ 315 (if oxygen saturation as measured by pulse oximetry is ⩽97%) to identify hypoxemia; 3) retain bilateral opacities for imaging criteria but add ultrasound as an imaging modality, especially in resource-limited areas; and 4) in resource-limited settings, do not require positive end-expiratory pressure, oxygen flow rate, or specific respiratory support devices. Conclusions: We propose a new global definition of ARDS that builds on the Berlin definition. The recommendations also identify areas for future research, including the need for prospective assessments of the feasibility, reliability, and prognostic validity of the proposed global definition.
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Affiliation(s)
- Michael A. Matthay
- Department of Medicine
- Department of Anesthesia
- Cardiovascular Research Institute, and
| | - Yaseen Arabi
- King Saud Bin Abdulaziz University for Health Sciences and King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | | | - Gordon Bernard
- Division of Allergy, Pulmonary, and Critical Care Medicine, Center for Lung Research, and
| | | | - Laurent J. Brochard
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health and Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Carolyn S. Calfee
- Department of Medicine
- Department of Anesthesia
- Cardiovascular Research Institute, and
| | - Alain Combes
- Médecine Intensive – Réanimation, Sorbonne Université, APHP Hôpital Pitié-Salpêtrière, Paris, France
| | - Brian M. Daniel
- Respiratory Therapy, University of California, San Francisco, San Francisco, California
| | - Niall D. Ferguson
- Interdepartmental Division of Critical Care Medicine and
- Department of Medicine, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Michelle N. Gong
- Department of Medicine, Montefiore Medical Center, Bronx, New York
| | - Jeffrey E. Gotts
- Kaiser Permanente San Francisco Medical Center, San Francisco, California
| | | | - John G. Laffey
- Anesthesia, University Hospital Galway, University of Galway, Galway, Ireland
| | | | - Flavia R. Machado
- Intensive Care Department, Hospital São Paulo, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Thomas R. Martin
- Department of Medicine, University of Washington, Seattle, Washington
| | - Danny F. McAuley
- Centre for Experimental Medicine, Queen’s University Belfast, Belfast, United Kingdom
| | - Alain Mercat
- Medical ICU, Angers University Hospital, Angers, France
| | - Marc Moss
- Department of Medicine, University of Colorado Denver, Aurora, Colorado
| | | | - Antonio Pesenti
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Haibo Qiu
- Critical Care Medicine, Zhongda Hospital, Nanjing, China
| | | | - V. Marco Ranieri
- Emergency and Intensive Care Medicine, Alma Mater Studorium University of Bologna, Bologna, Italy
| | - Elisabeth D. Riviello
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | | | - Arthur S. Slutsky
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health and Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - B. Taylor Thompson
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Theogene Twagirumugabe
- Department of Anesthesia, Critical Care, and Emergency Medicine, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda; and
| | - Lorraine B. Ware
- Department of Medicine, Vanderbilt University, Nashville, Tennessee
| | - Katherine D. Wick
- Department of Medicine, University of California, Davis, Davis, California
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11
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Lu M, Drohan C, Bain W, Shah FA, Bittner M, Evankovich J, Prendergast NT, Hensley M, Suber TL, Fitzpatrick M, Ramanan R, Murray H, Schaefer C, Qin S, Wang X, Zhang Y, Nouraie SM, Gentry H, Murray C, Patel A, Macatangay BJ, Jacobs J, Mellors JW, Lee JS, Ray P, Ray A, Methé B, Morris A, McVerry BJ, Kitsios GD. Trajectories of Host-Response Subphenotypes in Patients With COVID-19 Across the Spectrum of Respiratory Support. CHEST CRITICAL CARE 2023; 1:100018. [PMID: 38250011 PMCID: PMC10798236 DOI: 10.1016/j.chstcc.2023.100018] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
BACKGROUND Hospitalized patients with severe COVID-19 follow heterogeneous clinical trajectories, requiring different levels of respiratory support and experiencing diverse clinical outcomes. Differences in host immune responses to SARS-CoV-2 infection may account for the heterogeneous clinical course, but we have limited data on the dynamic evolution of systemic biomarkers and related subphenotypes. Improved understanding of the dynamic transitions of host subphenotypes in COVID-19 may allow for improved patient selection for targeted therapies. RESEARCH QUESTION We examined the trajectories of host-response profiles in severe COVID-19 and evaluated their prognostic impact on clinical outcomes. STUDY DESIGN AND METHODS In this prospective observational study, we enrolled 323 inpatients with COVID-19 receiving different levels of baseline respiratory support: (1) low-flow oxygen (37%), (2) noninvasive ventilation (NIV) or high-flow oxygen (HFO; 29%), (3) invasive mechanical ventilation (27%), and (4) extracorporeal membrane oxygenation (7%). We collected plasma samples on enrollment and at days 5 and 10 to measure host-response biomarkers. We classified patients by inflammatory subphenotypes using two validated predictive models. We examined clinical, biomarker, and subphenotype trajectories and outcomes during hospitalization. RESULTS IL-6, procalcitonin, and angiopoietin 2 persistently were elevated in patients receiving higher levels of respiratory support, whereas soluble receptor of advanced glycation end products (sRAGE) levels displayed the inverse pattern. Patients receiving NIV or HFO at baseline showed the most dynamic clinical trajectory, with 24% eventually requiring intubation and exhibiting worse 60-day mortality than patients receiving invasive mechanical ventilation at baseline (67% vs 35%; P < .0001). sRAGE levels predicted NIV failure and worse 60-day mortality for patients receiving NIV or HFO, whereas IL-6 levels were predictive in all patients regardless of level of support (P < .01). Patients classified to a hyperinflammatory subphenotype at baseline (< 10%) showed worse 60-day survival (P < .0001) and 50% of them remained classified as hyperinflammatory at 5 days after enrollment. INTERPRETATION Longitudinal study of the systemic host response in COVID-19 revealed substantial and predictive interindividual variability influenced by baseline levels of respiratory support.
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Affiliation(s)
- Michael Lu
- Internal Medicine Residency Program, University of Pittsburgh, Pittsburgh, PA
| | - Callie Drohan
- Internal Medicine Residency Program, University of Pittsburgh, Pittsburgh, PA
| | - William Bain
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
| | - Faraaz A Shah
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
| | - Matthew Bittner
- Internal Medicine Residency Program, University of Pittsburgh, Pittsburgh, PA
| | - John Evankovich
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
| | - Niall T Prendergast
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Matthew Hensley
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Tomeka L Suber
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
| | - Meghan Fitzpatrick
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
| | - Raj Ramanan
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Holt Murray
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Caitlin Schaefer
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
| | - Shulin Qin
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA
| | - Xiaohong Wang
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA
| | - Yingze Zhang
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
| | - Seyed M Nouraie
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
| | - Heather Gentry
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Cathy Murray
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Asha Patel
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA
| | | | - Jana Jacobs
- Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA
| | - John W Mellors
- Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA
| | - Janet S Lee
- Division of Pulmonary and Critical Care, Washington University School of Medicine, Saint Louis, MO
| | - Prabir Ray
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
| | - Anuradha Ray
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
| | - Barbara Methé
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA
| | - Alison Morris
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA
| | - Bryan J McVerry
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA
- Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA
| | - Georgios D Kitsios
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA
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12
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Shen HC, Chen CC, Chen WC, Yu WK, Yang KY, Chen YM. Association of Late Radiographic Assessment of Lung Edema Score with Clinical Outcome in Patients with Influenza-Associated Acute Respiratory Distress Syndrome. Diagnostics (Basel) 2023; 13:3572. [PMID: 38066813 PMCID: PMC10706585 DOI: 10.3390/diagnostics13233572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 11/24/2023] [Accepted: 11/28/2023] [Indexed: 10/16/2024] Open
Abstract
Background: Influenza virus infection leads to acute pulmonary injury and acute respiratory distress syndrome (ARDS). The Radiographic Assessment of Lung Edema (RALE) score has been proposed as a reliable tool for the evaluation of the opacity of chest X-rays (CXRs). This study aimed to examine the RALE scores and outcomes in patients with influenza-associated ARDS. Methods: Patients who were newly diagnosed with influenza-associated ARDS from December 2015 to March 2016 were enrolled. Two independent reviewers scored the CXRs obtained on the day of ICU admission and on days 2 and 7 after intensive care unit (ICU) admission. Results: During the study, 47 patients had influenza-associated ARDS. Five died within 7 days of ICU admission. Of the remaining 42, non-survivors (N = 12) had higher Sequential Organ Failure Assessment scores (SOFA) at ICU admission and higher day 7 RALE scores than survivors (N = 30). The day 7 RALE score independently related to late in-hospital mortality (aOR = 1.121, 95% CI: 1.014-1.240, p = 0.025). Conclusions: The RALE score for the evaluation of opacity on CXRs is a highly reproducible tool. Moreover, RALE score on day 7 was an independent predictor of late in-hospital mortality in patients with influenza-associated ARDS.
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Affiliation(s)
- Hsiao-Chin Shen
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan; (H.-C.S.)
- Department of Medical Education, Taipei Veterans General Hospital, Taipei 112, Taiwan
| | - Chun-Chia Chen
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan; (H.-C.S.)
| | - Wei-Chih Chen
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan; (H.-C.S.)
- Faculty of Medicine, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Institute of Emergency and Critical Care Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Wen-Kuang Yu
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan; (H.-C.S.)
- Faculty of Medicine, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Kuang-Yao Yang
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan; (H.-C.S.)
- Faculty of Medicine, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Institute of Emergency and Critical Care Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Cancer Progression Research Center, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Yuh-Min Chen
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan; (H.-C.S.)
- Faculty of Medicine, School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
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13
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Lisius G, Duttagupta R, Ahmed AA, Hensley M, Al-Yousif N, Lu M, Bain W, Shah F, Blauwkamp TA, Bercovici S, Schaefer C, Qin S, Wang X, Zhang Y, Mitchell KJ, Hughes EK, Jacobs JL, Naqvi A, Haidar G, Mellors JW, Methé B, McVerry BJ, Morris A, Kitsios GD. Noninvasive diagnosis of secondary infections in COVID-19 by sequencing of plasma microbial cell-free DNA. iScience 2023; 26:108093. [PMID: 37965142 PMCID: PMC10641743 DOI: 10.1016/j.isci.2023.108093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 07/04/2023] [Accepted: 09/26/2023] [Indexed: 11/16/2023] Open
Abstract
Secondary infection (SI) diagnosis in severe COVID-19 remains challenging. We correlated metagenomic sequencing of plasma microbial cell-free DNA (mcfDNA-Seq) with clinical SI assessment, immune response, and outcomes. We classified 42 COVID-19 inpatients as microbiologically confirmed-SI (Micro-SI, n = 8), clinically diagnosed-SI (Clinical-SI, n = 13, i.e., empiric antimicrobials), or no-clinical-suspicion-for-SI (No-Suspected-SI, n = 21). McfDNA-Seq was successful in 73% of samples. McfDNA detection was higher in Micro-SI (94%) compared to Clinical-SI (57%, p = 0.03), and unexpectedly high in No-Suspected-SI (83%), similar to Micro-SI. We detected culture-concordant mcfDNA species in 81% of Micro-SI samples. McfDNA correlated with LRT 16S rRNA bacterial burden (r = 0.74, p = 0.02), and biomarkers (white blood cell count, IL-6, IL-8, SPD, all p < 0.05). McfDNA levels were predictive of worse 90-day survival (hazard ratio 1.30 [1.02-1.64] for each log10 mcfDNA, p = 0.03). High mcfDNA levels in COVID-19 patients without clinical SI suspicion may suggest SI under-diagnosis. McfDNA-Seq offers a non-invasive diagnostic tool for pathogen identification, with prognostic value on clinical outcomes.
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Affiliation(s)
- Grace Lisius
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | | | | | - Matthew Hensley
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Nameer Al-Yousif
- Division of Pulmonary, Critical Care, and Sleep Medicine, MetroHealth Medical Center, Cleveland, OH 44109, USA
| | - Michael Lu
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - William Bain
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Veterans Affairs Pittsburgh Health System, Pittsburgh, PA 15240, USA
| | - Faraaz Shah
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Veterans Affairs Pittsburgh Health System, Pittsburgh, PA 15240, USA
| | | | | | - Caitlin Schaefer
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Shulin Qin
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Xiaohong Wang
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Yingze Zhang
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | | | - Ellen K. Hughes
- Computer Vision Group, VeyTel LLC, Pittsburgh, PA 15217, USA
| | - Jana L. Jacobs
- University of Pittsburgh School of Medicine, Division of Infectious Diseases, Pittsburgh, PA 15213, USA
| | - Asma Naqvi
- University of Pittsburgh School of Medicine, Division of Infectious Diseases, Pittsburgh, PA 15213, USA
| | - Ghady Haidar
- University of Pittsburgh School of Medicine, Division of Infectious Diseases, Pittsburgh, PA 15213, USA
| | - John W. Mellors
- University of Pittsburgh School of Medicine, Division of Infectious Diseases, Pittsburgh, PA 15213, USA
| | - Barbara Methé
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Bryan J. McVerry
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Alison Morris
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Georgios D. Kitsios
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA 15213, USA
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14
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Lindow T, Quadrelli S, Ugander M. Noninvasive Imaging Methods for Quantification of Pulmonary Edema and Congestion: A Systematic Review. JACC Cardiovasc Imaging 2023; 16:1469-1484. [PMID: 37632500 DOI: 10.1016/j.jcmg.2023.06.023] [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: 10/20/2022] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 08/28/2023]
Abstract
Quantification of pulmonary edema and congestion is important to guide diagnosis and risk stratification, and to objectively evaluate new therapies in heart failure. Herein, we review the validation, diagnostic performance, and clinical utility of noninvasive imaging modalities in this setting, including chest x-ray, lung ultrasound (LUS), computed tomography (CT), nuclear medicine imaging methods (positron emission tomography [PET], single photon emission CT), and magnetic resonance imaging (MRI). LUS is a clinically useful bedside modality, and fully quantitative methods (CT, MRI, PET) are likely to be important contributors to a more accurate and precise evaluation of new heart failure therapies and for clinical use in conjunction with cardiac imaging. There are only a limited number of studies evaluating pulmonary congestion during stress. Taken together, noninvasive imaging of pulmonary congestion provides utility for both clinical and research assessment, and continued refinement of methodologic accuracy, validation, and workflow has the potential to increase broader clinical adoption.
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Affiliation(s)
- Thomas Lindow
- Kolling Institute, Royal North Shore Hospital and University of Sydney, Sydney, Australia; Department of Clinical Physiology, Research and Development, Växjö Central Hospital, Region Kronoberg, Sweden; Clinical Physiology, Clinical Sciences, Lund University, Sweden
| | - Scott Quadrelli
- Kolling Institute, Royal North Shore Hospital and University of Sydney, Sydney, Australia
| | - Martin Ugander
- Kolling Institute, Royal North Shore Hospital and University of Sydney, Sydney, Australia; Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockhom, Sweden.
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15
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Chu C, Wang L, Wu Y, Li H, Xu S, Zhang L, Liu Q, Zhang X, Xu L, Gao C, Huang L. Multidimensional analysis using low-dose computed tomography to evaluate the severity of Mycoplasma pneumoniae pneumonia in children. Quant Imaging Med Surg 2023; 13:1874-1886. [PMID: 36915342 PMCID: PMC10006136 DOI: 10.21037/qims-22-508] [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: 05/20/2022] [Accepted: 11/20/2022] [Indexed: 01/05/2023]
Abstract
Background It is unclear whether local pathological pulmonary changes truly reflect the severity of childhood Mycoplasma pneumoniae infection, which is characterized by rapid progress and potential mortality. This study multi-dimensionally analyzed low-dose computed tomography findings to assess the severity of Mycoplasma pneumoniae infection and predict its progress in such patients. Methods In all, 752 children with Mycoplasma pneumoniae pneumonia (MPP) who underwent low-dose computed tomography examinations from February 2016 to July 2020 were retrospectively enrolled to conduct a cohort study. Clinical and radiological variables were analyzed using univariate analysis, and radiological variables were further analyzed using multivariable logistic regression in severe cases. Then, the correlation between the key computed tomography features and clinical symptoms, laboratory indicators, and medical costs were assessed using the chi-squared and Kruskal-Wallis H tests. Kaplan-Meier curves and Cox regression models were created to evaluate the correlations between the key computed tomography features, fever duration, and the length of hospital stay. Results Of the 752 included patients, 16.2% (122/752) developed severe MPP. Atelectasis, pleural effusion, and lung consolidation occurred in 9.7% (73/752), 15.8% (119/752), and 90.3% (679/752) of patients, respectively. In addition to pleural effusion, the number of lobes of lung consolidation was the highest risk feature of severe MPP. Patients with consolidation in 2, 3, and 4 lobes had a 1.0-, 3.1-, and 7.5-fold increased risk of severe MPP, compared with patients with consolidation in fewer than 1 lobe. The duration of fever prior to admission had no effect on the proportions of the lobar consolidation (P=0.14) but did have significant effect on the incidence of pleural effusion (P=0.004). Levels of inflammatory markers and medical costs rose consistently with the increase in the number of lobar consolidations (P<0.001). After adjustments for pleural effusion, 1, 2, 3, and 4 lobes of consolidation remained positively associated with fever duration [1 lobe: hazard ratio (HR) =1.55, 95% CI: 1.10-2.18; 2 lobes: HR =1.65, 95% CI: 1.13-2.42l; 3 lobes: HR =1.82, 95% CI: 1.11-2.98; 4 lobes: HR =2.87, 95% CI: 1.25-6.61] compared to 0 lobes of consolidation. Compared to 0 lobes of consolidation, 1, 2, 3, and 4 lobes of consolidation were also positively correlated with the length of hospital stay (1 lobe: HR =2.24, 95% CI: 1.73-2.89; 2 lobes: HR =2.56, 95% CI: 1.91-3.43; 3 lobes: HR =2.87, 95% CI: 1.90-4.32; 4 lobes: HR =4.12, 95% CI: 2.01-8.46). Conclusions Lobar consolidation is a stable and reliable computed tomography feature that can be used to assess the severity of MPP in children. Quantitative analysis of lobar consolidation can comprehensively and accurately predict the progression of Mycoplasma pneumoniae. Low-dose computed tomography is recommended for children with severe MPP with complicated courses.
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Affiliation(s)
- Caiting Chu
- Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lijun Wang
- Department of Infectious Diseases, Xinhua Children's Hospital, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhang Wu
- Department of Infectious Diseases, Xinhua Children's Hospital, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huajun Li
- Department of Infectious Diseases, Xinhua Children's Hospital, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shanshan Xu
- Department of Infectious Diseases, Xinhua Children's Hospital, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liya Zhang
- Department of Infectious Diseases, Xinhua Children's Hospital, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Quanhua Liu
- Department of Pediatric Respiration, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xi Zhang
- Clinical Research Unit, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Xu
- Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chengjin Gao
- Department of Emergency, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lisu Huang
- Department of Infectious Diseases, Xinhua Children's Hospital, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
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16
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Filippini DFL, Hagens LA, Heijnen NFL, Zimatore C, Atmowihardjo LN, Schnabel RM, Schultz MJ, Bergmans DCJJ, Bos LDJ, Smit MR. Prognostic Value of the Radiographic Assessment of Lung Edema Score in Mechanically Ventilated ICU Patients. J Clin Med 2023; 12:jcm12041252. [PMID: 36835791 PMCID: PMC9960783 DOI: 10.3390/jcm12041252] [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: 12/23/2022] [Revised: 01/19/2023] [Accepted: 01/31/2023] [Indexed: 02/09/2023] Open
Abstract
INTRODUCTION The Radiographic Assessment of Lung Edema (RALE) score provides a semi-quantitative measure of pulmonary edema. In patients with acute respiratory distress syndrome (ARDS), the RALE score is associated with mortality. In mechanically ventilated patients in the intensive care unit (ICU) with respiratory failure not due to ARDS, a variable degree of lung edema is observed as well. We aimed to evaluate the prognostic value of RALE in mechanically ventilated ICU patients. METHODS Secondary analysis of patients enrolled in the 'Diagnosis of Acute Respiratory Distress Syndrome' (DARTS) project with an available chest X-ray (CXR) at baseline. Where present, additional CXRs at day 1 were analysed. The primary endpoint was 30-day mortality. Outcomes were also stratified for ARDS subgroups (no ARDS, non-COVID-ARDS and COVID-ARDS). RESULTS 422 patients were included, of which 84 had an additional CXR the following day. Baseline RALE scores were not associated with 30-day mortality in the entire cohort (OR: 1.01, 95% CI: 0.98-1.03, p = 0.66), nor in subgroups of ARDS patients. Early changes in RALE score (baseline to day 1) were only associated with mortality in a subgroup of ARDS patients (OR: 1.21, 95% CI: 1.02-1.51, p = 0.04), after correcting for other known prognostic factors. CONCLUSIONS The prognostic value of the RALE score cannot be extended to mechanically ventilated ICU patients in general. Only in ARDS patients, early changes in RALE score were associated with mortality.
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Affiliation(s)
- Daan F. L. Filippini
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Correspondence:
| | - Laura A. Hagens
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Nanon F. L. Heijnen
- Department of Intensive Care, Maastricht UMC+, Maastricht University, 6229 HX Maastricht, The Netherlands
- School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Claudio Zimatore
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, 70124 Bari, Italy
| | - Leila N. Atmowihardjo
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Ronny M. Schnabel
- Department of Intensive Care, Maastricht UMC+, Maastricht University, 6229 HX Maastricht, The Netherlands
| | - Marcus J. Schultz
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Mahidol Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok 10400, Thailand
- Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK
- Department of Research and Development, Hamilton Medical AG, 7402 Bonaduz, Switzerland
| | - Dennis C. J. J. Bergmans
- Department of Intensive Care, Maastricht UMC+, Maastricht University, 6229 HX Maastricht, The Netherlands
- School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Lieuwe D. J. Bos
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Department of Pulmonology, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Laboratory of Experimental Intensive Care and Anesthesiology (L.E.I.C.A.), University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Marry R. Smit
- Department of Intensive Care, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
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17
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Al-Yousif N, Komanduri S, Qurashi H, Korzhuk A, Lawal HO, Abourizk N, Schaefer C, Mitchell KJ, Dietz CM, Hughes EK, Brandt CS, Fitzgerald GM, Joyce R, Chaudhry AS, Kotok D, Rivera JD, Kim AI, Shettigar S, Lavina A, Girard CE, Gillenwater SR, Hadeh A, Bain W, Shah FA, Bittner M, Lu M, Prendergast N, Evankovich J, Golubykh K, Ramesh N, Jacobs JJ, Kessinger C, Methe B, Lee JS, Morris A, McVerry BJ, Kitsios GD. Inter-rater reliability and prognostic value of baseline Radiographic Assessment of Lung Edema (RALE) scores in observational cohort studies of inpatients with COVID-19. BMJ Open 2023; 13:e066626. [PMID: 36635036 PMCID: PMC9842602 DOI: 10.1136/bmjopen-2022-066626] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 12/16/2022] [Indexed: 01/14/2023] Open
Abstract
OBJECTIVES To reliably quantify the radiographic severity of COVID-19 pneumonia with the Radiographic Assessment of Lung Edema (RALE) score on clinical chest X-rays among inpatients and examine the prognostic value of baseline RALE scores on COVID-19 clinical outcomes. SETTING Hospitalised patients with COVID-19 in dedicated wards and intensive care units from two different hospital systems. PARTICIPANTS 425 patients with COVID-19 in a discovery data set and 415 patients in a validation data set. PRIMARY AND SECONDARY OUTCOMES We measured inter-rater reliability for RALE score annotations by different reviewers and examined for associations of consensus RALE scores with the level of respiratory support, demographics, physiologic variables, applied therapies, plasma host-response biomarkers, SARS-CoV-2 RNA load and clinical outcomes. RESULTS Inter-rater agreement for RALE scores improved from fair to excellent following reviewer training and feedback (intraclass correlation coefficient of 0.85 vs 0.93, respectively). In the discovery cohort, the required level of respiratory support at the time of CXR acquisition (supplemental oxygen or non-invasive ventilation (n=178); invasive-mechanical ventilation (n=234), extracorporeal membrane oxygenation (n=13)) was significantly associated with RALE scores (median (IQR): 20.0 (14.1-26.7), 26.0 (20.5-34.0) and 44.5 (34.5-48.0), respectively, p<0.0001). Among invasively ventilated patients, RALE scores were significantly associated with worse respiratory mechanics (plateau and driving pressure) and gas exchange metrics (PaO2/FiO2 and ventilatory ratio), as well as higher plasma levels of IL-6, soluble receptor of advanced glycation end-products and soluble tumour necrosis factor receptor 1 (p<0.05). RALE scores were independently associated with 90-day survival in a multivariate Cox proportional hazards model (adjusted HR 1.04 (1.02-1.07), p=0.002). We replicated the significant associations of RALE scores with baseline disease severity and mortality in the independent validation data set. CONCLUSIONS With a reproducible method to measure radiographic severity in COVID-19, we found significant associations with clinical and physiologic severity, host inflammation and clinical outcomes. The incorporation of radiographic severity assessments in clinical decision-making may provide important guidance for prognostication and treatment allocation in COVID-19.
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Affiliation(s)
- Nameer Al-Yousif
- Internal Medicine Residency Program, UPMC Mercy, Pittsburgh, Pennsylvania, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, MetroHealth Medical Center, Cleveland, Ohio, USA
| | - Saketram Komanduri
- Internal Medicine Residency Program, UPMC Pinnacle Harrisburg, Harrisburg, Pennsylvania, USA
| | - Hafiz Qurashi
- Internal Medicine Residency Program, UPMC Pinnacle Harrisburg, Harrisburg, Pennsylvania, USA
| | - Anatoliy Korzhuk
- Internal Medicine Residency Program, UPMC Pinnacle Harrisburg, Harrisburg, Pennsylvania, USA
| | - Halimat O Lawal
- Internal Medicine Residency Program, UPMC Pinnacle Harrisburg, Harrisburg, Pennsylvania, USA
| | - Nicholas Abourizk
- Internal Medicine Residency Program, UPMC Pinnacle Harrisburg, Harrisburg, Pennsylvania, USA
| | - Caitlin Schaefer
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Kevin J Mitchell
- Computer Vision Group, Veytel LLC, Pittsburgh, Pennsylvania, USA
| | | | - Ellen K Hughes
- Computer Vision Group, Veytel LLC, Pittsburgh, Pennsylvania, USA
| | - Clara S Brandt
- Computer Vision Group, Veytel LLC, Pittsburgh, Pennsylvania, USA
| | | | - Robin Joyce
- Computer Vision Group, Veytel LLC, Pittsburgh, Pennsylvania, USA
| | - Asmaa S Chaudhry
- Computer Vision Group, Veytel LLC, Pittsburgh, Pennsylvania, USA
| | - Daniel Kotok
- Department of Pulmonary and Critical Care, Cleveland Clinic Florida, Weston, Florida, USA
| | - Jose D Rivera
- Department of Pulmonary and Critical Care, Cleveland Clinic Florida, Weston, Florida, USA
| | - Andrew I Kim
- Department of Pulmonary and Critical Care, Cleveland Clinic Florida, Weston, Florida, USA
| | - Shruti Shettigar
- Department of Pulmonary and Critical Care, Cleveland Clinic Florida, Weston, Florida, USA
| | - Allen Lavina
- Department of Pulmonary and Critical Care, Cleveland Clinic Florida, Weston, Florida, USA
| | - Christine E Girard
- Department of Pulmonary and Critical Care, Cleveland Clinic Florida, Weston, Florida, USA
| | - Samantha R Gillenwater
- Department of Pulmonary and Critical Care, Cleveland Clinic Florida, Weston, Florida, USA
| | - Anas Hadeh
- Department of Pulmonary and Critical Care, Cleveland Clinic Florida, Weston, Florida, USA
| | - William Bain
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Faraaz A Shah
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Matthew Bittner
- Internal Medicine Residency Program, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michael Lu
- Internal Medicine Residency Program, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Niall Prendergast
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - John Evankovich
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Konstantin Golubykh
- Internal Medicine Residency Program, UPMC Pinnacle Harrisburg, Harrisburg, Pennsylvania, USA
| | - Navitha Ramesh
- Department of Pulmonary and Critical Care, UPMC Pinnacle Harrisburg, Harrisburg, Pennsylvania, USA
| | - Jana J Jacobs
- Department of Medicine, Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Cathy Kessinger
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Barbara Methe
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Janet S Lee
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Alison Morris
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Bryan J McVerry
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Georgios D Kitsios
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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18
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Atmowihardjo LN, Heijnen NFL, Smit MR, Hagens LA, Filippini DFL, Zimatore C, Schultz MJ, Schnabel RM, Bergmans DCJJ, Aman J, Bos LDJ. Biomarkers of alveolar epithelial injury and endothelial dysfunction are associated with scores of pulmonary edema in invasively ventilated patients. Am J Physiol Lung Cell Mol Physiol 2023; 324:L38-L47. [PMID: 36348302 PMCID: PMC9799153 DOI: 10.1152/ajplung.00185.2022] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Pulmonary edema is a central hallmark of acute respiratory distress syndrome (ARDS). Endothelial dysfunction and epithelial injury contribute to alveolar-capillary permeability but their differential contribution to pulmonary edema development remains understudied. Plasma levels of surfactant protein-D (SP-D), soluble receptor for advanced glycation end products (sRAGE), and angiopoietin-2 (Ang-2) were measured in a prospective, multicenter cohort of invasively ventilated patients. Pulmonary edema was quantified using the radiographic assessment of lung edema (RALE) and global lung ultrasound (LUS) score. Variables were collected within 48 h after intubation. Linear regression was used to examine the association of the biomarkers with pulmonary edema. In 362 patients, higher SP-D, sRAGE, and Ang-2 concentrations were significantly associated with higher RALE and global LUS scores. After stratification by ARDS subgroups (pulmonary, nonpulmonary, COVID, non-COVID), the positive association of SP-D levels with pulmonary edema remained, whereas sRAGE and Ang-2 showed less consistent associations throughout the subgroups. In a multivariable analysis, SP-D levels were most strongly associated with pulmonary edema when combined with sRAGE (RALE score: βSP-D = 6.79 units/log10 pg/mL, βsRAGE = 3.84 units/log10 pg/mL, R2 = 0.23; global LUS score: βSP-D = 3.28 units/log10 pg/mL, βsRAGE = 2.06 units/log10 pg/mL, R2 = 0.086), whereas Ang-2 did not further improve the model. Biomarkers of epithelial injury and endothelial dysfunction were associated with pulmonary edema in invasively ventilated patients. SP-D and sRAGE showed the strongest association, suggesting that epithelial injury may form a final common pathway in the alveolar-capillary barrier dysfunction underlying pulmonary edema.
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Affiliation(s)
| | - Nanon F. L. Heijnen
- 2Intensive Care, Maastricht University Medical Center+, Maastricht University, Maastricht, The Netherlands,8School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, The Netherlands
| | - Marry R. Smit
- 1Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Laura A. Hagens
- 1Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Daan F. L. Filippini
- 1Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Claudio Zimatore
- 1Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands,3Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy
| | - Marcus J. Schultz
- 1Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands,4Mahidol Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok, Thailand,5Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom,6Department of Research and Development, Hamilton Medical AG, Bonaduz, Switzerland
| | - Ronny M. Schnabel
- 2Intensive Care, Maastricht University Medical Center+, Maastricht University, Maastricht, The Netherlands
| | - Dennis C. J. J. Bergmans
- 2Intensive Care, Maastricht University Medical Center+, Maastricht University, Maastricht, The Netherlands,8School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, The Netherlands
| | - Jurjan Aman
- 7Department of Pulmonology, Amsterdam UMC, Vrije
Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lieuwe D. J. Bos
- 1Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands,7Department of Pulmonology, Amsterdam UMC, Vrije
Universiteit Amsterdam, Amsterdam, The Netherlands
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19
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Jacobs JL, Naqvi A, Shah FA, Boltz VF, Kearney MF, McVerry BJ, Ray P, Schaefer C, Fitzpatrick M, Methé B, Lee JS, Morris A, Mellors JW, Kitsios GD, Bain W. Plasma SARS-CoV-2 RNA Levels as a Biomarker of Lower Respiratory Tract SARS-CoV-2 Infection in Critically Ill Patients With COVID-19. J Infect Dis 2022; 226:2089-2094. [PMID: 35511031 PMCID: PMC10205612 DOI: 10.1093/infdis/jiac157] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/18/2022] [Accepted: 04/26/2022] [Indexed: 01/04/2023] Open
Abstract
Plasma SARS-CoV-2 viral RNA (vRNA) levels are predictive of COVID-19 outcomes in hospitalized patients, but whether plasma vRNA reflects lower respiratory tract (LRT) vRNA levels is unclear. We compared plasma and LRT vRNA levels in serially collected samples from mechanically ventilated patients with COVID-19. LRT and plasma vRNA levels were strongly correlated at first sampling (n = 33, r = 0.83, P < 10-9) and then declined in parallel in available serial samples except in nonsurvivors who exhibited delayed vRNA clearance in LRT samples. Plasma vRNA measurement may offer a practical surrogate of LRT vRNA burden in critically ill patients, especially early after ICU admission.
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Affiliation(s)
- Jana L Jacobs
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Asma Naqvi
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Faraaz A Shah
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Veteran’s Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Valerie F Boltz
- HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA
| | - Mary F Kearney
- HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA
| | - Bryan J McVerry
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Prabir Ray
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Caitlin Schaefer
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Meghan Fitzpatrick
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Barbara Methé
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Janet S Lee
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Alison Morris
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - John W Mellors
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Georgios D Kitsios
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - William Bain
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Veteran’s Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
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20
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Lu M, Drohan C, Bain W, Shah FA, Bittner M, Evankovich J, Prendergast N, Hensley M, Suber T, Fitzpatrick M, Ramanan R, Murray H, Schaefer C, Qin S, Wang X, Zhang Y, Nouraie SM, Gentry H, Kessinger C, Patel A, Macatangay BJ, Jacobs J, Mellors J, Lee JS, Ray P, Ray A, Methé B, Morris A, McVerry BJ, Kitsios GD. Trajectories of host-response biomarkers and inflammatory subphenotypes in COVID-19 patients across the spectrum of respiratory support. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.11.28.22282858. [PMID: 36482978 PMCID: PMC9727768 DOI: 10.1101/2022.11.28.22282858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Purpose Enhanced understanding of the dynamic changes in the dysregulated inflammatory response in COVID-19 may help improve patient selection and timing for immunomodulatory therapies. Methods We enrolled 323 COVID-19 inpatients on different levels of baseline respiratory support: i) Low Flow Oxygen (37%), ii) Non-Invasive Ventilation or High Flow Oxygen (NIV_HFO, 29%), iii) Invasive Mechanical Ventilation (IMV, 27%), and iv) Extracorporeal Membrane Oxygenation (ECMO, 7%). We collected plasma samples upon enrollment and days 5 and 10 to measure host-response biomarkers. We classified subjects into inflammatory subphenotypes using two validated predictive models. We examined clinical, biomarker and subphenotype trajectories and outcomes during hospitalization. Results IL-6, procalcitonin, and Angiopoietin-2 were persistently elevated in patients at higher levels of respiratory support, whereas sRAGE displayed the inverse pattern. Patients on NIV_HFO at baseline had the most dynamic clinical trajectory, with 26% eventually requiring intubation and exhibiting worse 60-day mortality than IMV patients at baseline (67% vs. 35%, p<0.0001). sRAGE levels predicted NIV failure and worse 60-day mortality for NIV_HFO patients, whereas IL-6 levels were predictive in IMV or ECMO patients. Hyper-inflammatory subjects at baseline (<10% by both models) had worse 60-day survival (p<0.0001) and 50% of them remained classified as hyper-inflammatory on follow-up sampling at 5 days post-enrollment. Receipt of combined immunomodulatory therapies (steroids and anti-IL6 agents) was associated with markedly increased IL-6 and lower Angiopoietin-2 levels (p<0.05). Conclusions Longitudinal study of systemic host responses in COVID-19 revealed substantial and predictive inter-individual variability, influenced by baseline levels of respiratory support and concurrent immunomodulatory therapies.
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Affiliation(s)
- Michael Lu
- Internal Medicine Residency Program, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Callie Drohan
- Internal Medicine Residency Program, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - William Bain
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Faraaz A Shah
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Matthew Bittner
- Internal Medicine Residency Program, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - John Evankovich
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Niall Prendergast
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Matthew Hensley
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tomeka Suber
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Meghan Fitzpatrick
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Raj Ramanan
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Holt Murray
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Caitlin Schaefer
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Shulin Qin
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Xiaohong Wang
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yingze Zhang
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Seyed M Nouraie
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Heather Gentry
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Cathy Kessinger
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Asha Patel
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Jana Jacobs
- Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA
| | - John Mellors
- Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA
| | - Janet S Lee
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Prabir Ray
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Anuradha Ray
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
| | - Barbara Methé
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alison Morris
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bryan J McVerry
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Georgios D Kitsios
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
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21
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Chen H, Yu Q, Xie J, Liu S, Pan C, Liu L, Huang Y, Guo F, Qiu H, Yang Y. Longitudinal phenotypes in patients with acute respiratory distress syndrome: a multi-database study. Crit Care 2022; 26:340. [PMID: 36333766 PMCID: PMC9635207 DOI: 10.1186/s13054-022-04211-w] [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: 07/27/2022] [Accepted: 10/22/2022] [Indexed: 11/06/2022] Open
Abstract
Background Previously identified phenotypes of acute respiratory distress syndrome (ARDS) have been limited by a disregard for temporal dynamics. We aimed to identify longitudinal phenotypes in ARDS to test the prognostic and predictive enrichment of longitudinal phenotypes, and to develop simplified models for phenotype identification. Methods We conducted a multi-database study based on the Chinese Database in Intensive Care (CDIC) and four ARDS randomized clinical trials (RCTs). We employed latent class analysis (LCA) to identify longitudinal phenotypes using 24-hourly data from the first four days of invasive ventilation. We used the Cox regression model to explore the association between time-varying respiratory parameters and 28-day mortality across phenotypes. Phenotypes were validated in four RCTs, and the heterogeneity of treatment effect (HTE) was investigated. We also constructed two multinomial logistical regression analyses to develop the probabilistic models. Findings A total of 605 ARDS patients in CDIC were enrolled. The three-class LCA model was identified and had the optimal fit, as follows: Class 1 (n = 400, 66.1% of the cohort) was the largest phenotype over all study days, and had fewer abnormal values, less organ dysfunction and the lowest 28-day mortality rate (30.5%). Class 2 (n = 102, 16.9% of the cohort) was characterized by pulmonary mechanical dysfunction and had the highest proportion of poorly aerated lung volume, the 28-day mortality rate was 47.1%. Class 3 (n = 103, 17% of the cohort) was correlated with extra-pulmonary dysfunction and had the highest 28-day mortality rate (56.3%). Time-varying mechanical power was more significantly associated with 28-day mortality in Class 2 patients compared to other phenotypes. Similar phenotypes were identified in four RCTs. A significant HTE between phenotypes and treatment strategies was observed in the ALVEOLI (high PEEP vs. low PEEP) and the FACTT trials (conservative vs. liberal fluid management). Two parsimonious probabilistic models were constructed to identify longitudinal phenotypes. Interpretation We identified and validated three novel longitudinal phenotypes for ARDS patients, with both prognostic and predictive enrichment. The phenotypes of ARDS can be accurately identified with simple classifier models, except for Class 3. Supplementary Information The online version contains supplementary material available at 10.1186/s13054-022-04211-w.
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Affiliation(s)
- Hui Chen
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China ,grid.429222.d0000 0004 1798 0228Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Soochow University, No. 899 Pinghai Road, Suzhou, 215000 People’s Republic of China
| | - Qian Yu
- grid.263826.b0000 0004 1761 0489Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Jianfeng Xie
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Songqiao Liu
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Chun Pan
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Ling Liu
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Yingzi Huang
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Fengmei Guo
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Haibo Qiu
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Yi Yang
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
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22
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Worku ET, Yeung F, Anstey C, Shekar K. The impact of reduction in intensity of mechanical ventilation upon venovenous ECMO initiation on radiographically assessed lung edema scores: A retrospective observational study. Front Med (Lausanne) 2022; 9:1005192. [PMID: 36203770 PMCID: PMC9531725 DOI: 10.3389/fmed.2022.1005192] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 08/26/2022] [Indexed: 11/26/2022] Open
Abstract
Background Patients with severe acute respiratory distress syndrome (ARDS) typically receive ultra-protective ventilation after extracorporeal membrane oxygenation (ECMO) is initiated. While the benefit of ECMO appears to derive from supporting “lung rest”, reductions in the intensity of mechanical ventilation, principally tidal volume limitation, may manifest radiologically. This study evaluated the relative changes in radiographic assessment of lung edema (RALE) score upon venovenous ECMO initiation in patients with severe ARDS. Methods Digital chest x-rays (CXR) performed at baseline immediately before initiation of ECMO, and at intervals post (median 1.1, 2.1, and 9.6 days) were reviewed in 39 Adult ARDS patients. One hundred fifty-six digital images were scored by two independent, blinded radiologists according to the RALE (Radiographic Assessment of Lung Edema) scoring criteria. Ventilatory data, ECMO parameters and fluid balance were recorded at corresponding time points. Multivariable analysis was performed analyzing the change in RALE score over time relative to baseline. Results The RALE score demonstrated excellent inter-rater agreement in this novel application in an ECMO cohort. Mean RALE scores increased from 28 (22–37) at baseline to 35 (26–42) (p < 0.001) on D1 of ECMO; increasing RALE was associated with higher baseline APACHE III scores [ß value +0.19 (0.08, 0.30) p = 0.001], and greater reductions in tidal volume [ß value −2.08 (−3.07, −1.10) p < 0.001] after ECMO initiation. Duration of mechanical ventilation, and ECMO support did not differ between survivors and non-survivors. Conclusions The magnitude of reductions in delivered tidal volumes correlated with increasing RALE scores (radiographic worsening) in ARDS patients receiving ECMO. Implications for patient centered outcomes remain unclear. There is a need to define appropriate ventilator settings on venovenous ECMO, counterbalancing the risks vs. benefits of optimal “lung rest” against potential atelectrauma.
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Affiliation(s)
- Elliott T. Worku
- Adult Intensive Care Services, The Prince Charles Hospital, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- *Correspondence: Elliott T. Worku
| | - Francis Yeung
- Adult Intensive Care Services, The Prince Charles Hospital, Brisbane, QLD, Australia
| | - Chris Anstey
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- School of Medicine, Griffith University, Sunshine Coast Campus, Birtinya, QLD, Australia
| | - Kiran Shekar
- Adult Intensive Care Services, The Prince Charles Hospital, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
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23
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Valk CM, Zimatore C, Mazzinari G, Pierrakos C, Sivakorn C, Dechsanga J, Grasso S, Beenen L, Bos LDJ, Paulus F, Schultz MJ, Pisani L. The RALE Score Versus the CT Severity Score in Invasively Ventilated COVID-19 Patients-A Retrospective Study Comparing Their Prognostic Capacities. Diagnostics (Basel) 2022; 12:2072. [PMID: 36140474 PMCID: PMC9497927 DOI: 10.3390/diagnostics12092072] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Quantitative radiological scores for the extent and severity of pulmonary infiltrates based on chest radiography (CXR) and computed tomography (CT) scan are increasingly used in critically ill invasively ventilated patients. This study aimed to determine and compare the prognostic capacity of the Radiographic Assessment of Lung Edema (RALE) score and the chest CT Severity Score (CTSS) in a cohort of invasively ventilated patients with acute respiratory distress syndrome (ARDS) due to COVID-19. METHODS Two-center retrospective observational study, including consecutive invasively ventilated COVID-19 patients. Trained scorers calculated the RALE score of first available CXR and the CTSS of the first available CT scan. The primary outcome was ICU mortality; secondary outcomes were duration of ventilation in survivors, length of stay in ICU, and hospital-, 28-, and 90-day mortality. Prognostic accuracy for ICU death was expressed using odds ratios and Area Under the Receiver Operating Characteristic curves (AUROC). RESULTS A total of 82 patients were enrolled. The median RALE score (22 [15-37] vs. 26 [20-39]; p = 0.34) and the median CTSS (18 [16-21] vs. 21 [18-23]; p = 0.022) were both lower in ICU survivors compared to ICU non-survivors, although only the difference in CTSS reached statistical significance. While no association was observed between ICU mortality and RALE score (OR 1.35 [95%CI 0.64-2.84]; p = 0.417; AUC 0.50 [0.44-0.56], this was noticed with the CTSS (OR, 2.31 [1.22-4.38]; p = 0.010) although with poor prognostic capacity (AUC 0.64 [0.57-0.69]). The correlation between the RALE score and CTSS was weak (r2 = 0.075; p = 0.012). CONCLUSIONS Despite poor prognostic capacity, only CTSS was associated with ICU mortality in our cohort of COVID-19 patients.
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Affiliation(s)
- Christel M. Valk
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Location ‘AMC’, 1105 AZ Amsterdam, The Netherlands
| | - Claudio Zimatore
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Location ‘AMC’, 1105 AZ Amsterdam, The Netherlands
- Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, 70124 Bari, Italy
| | - Guido Mazzinari
- Department of Anaesthesiology and Critical Care, Hospital Universitario y Politecnico la Fe, 46026 Valencia, Spain
- Perioperative Medicine Research Group, Instituto de Investigación Sanitaria la Fe, 46026 Valencia, Spain
| | - Charalampos Pierrakos
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Location ‘AMC’, 1105 AZ Amsterdam, The Netherlands
- Department of Intensive Care, Centre Hospitalier Universitaire Brussels, 1020 Brussels, Belgium
| | - Chaisith Sivakorn
- Intensive Care Unit, NHS Foundation Trust, University College London Hospitals, London NW1 2BU, UK
| | - Jutamas Dechsanga
- Division of Pulmonary and Critical Care, Department of Medicine, Chonburi Hospital, Chonburi 20000, Thailand
| | - Salvatore Grasso
- Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, 70124 Bari, Italy
| | - Ludo Beenen
- Department of Radiology, Amsterdam UMC, Location ‘AMC’, 1105 AZ Amsterdam, The Netherlands
| | - Lieuwe D. J. Bos
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Location ‘AMC’, 1105 AZ Amsterdam, The Netherlands
- Department of Pulmonology, Amsterdam UMC, Location ‘AMC’, 1105 AZ Amsterdam, The Netherlands
| | - Frederique Paulus
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Location ‘AMC’, 1105 AZ Amsterdam, The Netherlands
| | - Marcus J. Schultz
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Location ‘AMC’, 1105 AZ Amsterdam, The Netherlands
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok 10400, Thailand
- Nuffield Department of Medicine, University of Oxford, Oxford OX1 2JD, UK
| | - Luigi Pisani
- Department of Intensive Care & Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Location ‘AMC’, 1105 AZ Amsterdam, The Netherlands
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok 10400, Thailand
- Anaesthesia and Intensive Care Unit, Miulli Regional Hospital, 70021 Acquaviva Delle Fonti, Italy
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24
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Kotok D, Robles JR, E Girard C, K Shettigar S, P Lavina A, R Gillenwater S, I Kim A, Hadeh A. Chest Radiograph Severity and Its Association With Outcomes in Subjects With COVID-19 Presenting to the Emergency Department. Respir Care 2022; 67:871-878. [PMID: 35473787 PMCID: PMC9994088 DOI: 10.4187/respcare.09761] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Severity of radiographic abnormalities on chest radiograph in subjects with COVID-19 has been shown to be associated with worse outcomes, but studies are limited by different scoring systems, sample size, subject age, and study duration. Data regarding the longitudinal evolution of radiographic abnormalities and its association with outcomes are scarce. We sought to evaluate these questions using a well-validated scoring system (the Radiographic Assessment of Lung Edema [RALE] score) using data over 6 months from a large, multihospital health care system. METHODS We collected clinical and demographic data and quantified radiographic edema on chest radiograph obtained in the emergency department (ED) as well as on days 1-2 and 3-5 (in those admitted) in subjects with a nasopharyngeal swab positive for SARS-CoV-2 by polymerase chain reaction (PCR) visiting the ED for coronavirus disease 2019 (COVID)-19-related complaints between March-September 2020. We examined the association of baseline and longitudinal evolution of radiographic edema with severity of hypoxemia and clinical outcomes. RESULTS Eight hundred and seventy subjects were included (median age 53.6; 50.8% female). Inter-rate agreement for RALE scores was excellent (interclass correlation coefficient 0.84 [95% CI 0.82-0.87], P < .001). RALE scores correlated with hypoxemia as quantified by SpO2 /FIO2 (r = -0.42, P < .001). Admitted subjects had higher RALE scores than those discharged (6 [2-11] vs 0 [0-3], P < .001). An increase of RALE score ≥ 4 was associated with worse 30-d survival (P = .006). Larger increases in the RALE score were associated with worse survival. CONCLUSIONS The RALE score was reproducible and easily implementable in adult subjects presenting to the ED with COVID-19. Its association with physiologic parameters and outcomes at baseline and longitudinally makes it a readily available tool for prognostication and early ICU triage, particularly in patients with worsening radiographic edema.
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Affiliation(s)
- Daniel Kotok
- Department of Pulmonary and Critical Care Medicine, Cleveland Clinic Florida, Weston, Florida.
| | - Jose Rivera Robles
- Department of Internal Medicine, Cleveland Clinic Florida, Weston, Florida
| | - Christine E Girard
- Department of Internal Medicine, Cleveland Clinic Florida, Weston, Florida
| | | | - Allen P Lavina
- Department of Internal Medicine, Cleveland Clinic Florida, Weston, Florida
| | - Samantha R Gillenwater
- Department of Pulmonary and Critical Care Medicine, Cleveland Clinic Florida, Weston, Florida
| | - Andrew I Kim
- Department of Pulmonary and Critical Care Medicine, Cleveland Clinic Florida, Weston, Florida
| | - Anas Hadeh
- Department of Pulmonary and Critical Care Medicine, Cleveland Clinic Florida, Weston, Florida
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25
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Al-Yousif N, Komanduri S, Qurashi H, Korzhuk A, Lawal HO, Abourizk N, Schaefer C, Mitchell KJ, Dietz CM, Hughes EK, Brandt CS, Fitzgerald GM, Joyce R, Chaudhry AS, Kotok D, Rivera JD, Kim AI, Shettigar S, Lavina A, Girard CE, Gillenwater SR, Hadeh A, Bain W, Shah FA, Bittner M, Lu M, Prendergast N, Evankovich J, Golubykh K, Ramesh N, Jacobs JJ, Kessinger C, Methé B, Lee JS, Morris A, McVerry BJ, Kitsios GD. Radiographic Assessment of Lung Edema (RALE) Scores are Highly Reproducible and Prognostic of Clinical Outcomes for Inpatients with COVID-19. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.06.10.22276249. [PMID: 35734089 PMCID: PMC9216727 DOI: 10.1101/2022.06.10.22276249] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Chest imaging is necessary for diagnosis of COVID-19 pneumonia, but current risk stratification tools do not consider radiographic severity. We quantified radiographic heterogeneity among inpatients with COVID-19 with the Radiographic Assessment of Lung Edema (RALE) score on Chest X-rays (CXRs). METHODS We performed independent RALE scoring by ≥2 reviewers on baseline CXRs from 425 inpatients with COVID-19 (discovery dataset), we recorded clinical variables and outcomes, and measured plasma host-response biomarkers and SARS-CoV-2 RNA load from subjects with available biospecimens. RESULTS We found excellent inter-rater agreement for RALE scores (intraclass correlation co-efficient=0.93). The required level of respiratory support at the time of baseline CXRs (supplemental oxygen or non-invasive ventilation [n=178]; invasive-mechanical ventilation [n=234], extracorporeal membrane oxygenation [n=13]) was significantly associated with RALE scores (median [interquartile range]: 20.0[14.1-26.7], 26.0[20.5-34.0] and 44.5[34.5-48.0], respectively, p<0.0001). Among invasively-ventilated patients, RALE scores were significantly associated with worse respiratory mechanics (plateau and driving pressure) and gas exchange metrics (PaO2/FiO2 and ventilatory ratio), as well as higher plasma levels of IL-6, sRAGE and TNFR1 levels (p<0.05). RALE scores were independently associated with 90-day survival in a multivariate Cox proportional hazards model (adjusted hazard ratio 1.04[1.02-1.07], p=0.002). We validated significant associations of RALE scores with baseline severity and mortality in an independent dataset of 415 COVID-19 inpatients. CONCLUSION Reproducible assessment of radiographic severity revealed significant associations with clinical and physiologic severity, host-response biomarkers and clinical outcome in COVID-19 pneumonia. Incorporation of radiographic severity assessments may provide prognostic and treatment allocation guidance in patients hospitalized with COVID-19.
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26
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Hanley C, Giacomini C, Brennan A, McNicholas B, Laffey JG. Insights Regarding the Berlin Definition of ARDS from Prospective Observational Studies. Semin Respir Crit Care Med 2022; 43:379-389. [PMID: 35679873 DOI: 10.1055/s-0042-1744306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The definition of acute respiratory distress syndrome (ARDS), has evolved since it was first described in 1967 by Ashbaugh and Petty to the current "Berlin" definition of ARDS developed in 2012 by an expert panel, that provided clarification on the definition of "acute," and on the cardiac failure criteria. It expanded the definition to include patients receiving non-invasive ventilation, and removed the term "acute lung injury" and added a requirement of patients to be receiving a minimum 5 cmH2O expiratory pressure.Since 2012, a series of observational cohort studies have generated insights into the utility and robustness of this definition. This review will examine novel insights into the epidemiology of ARDS, failures in ARDS diagnosis, the role of lung imaging in ARDS, the novel ARDS cohort that is not invasively ventilated, lung compliance profiles in patients with ARDS, sex differences that exist in ARDS management and outcomes, the progression of ARDS following initial diagnosis, and the clinical profile and outcomes of confirmed versus resolved ARDS. Furthermore, we will discuss studies that challenge the utility of distinguishing ARDS from other causes of acute hypoxemic respiratory failure (AHRF) and identify issues that may need to be addressed in a revised definition.
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Affiliation(s)
- Ciara Hanley
- Department of Anaesthesia and Intensive Care medicine, Galway University Hospitals, Saolta University Hospital Group, Galway, Ireland
| | - Camilla Giacomini
- Department of Anaesthesia and Intensive Care medicine, Galway University Hospitals, Saolta University Hospital Group, Galway, Ireland
| | - Aoife Brennan
- Department of Anaesthesia and Intensive Care medicine, Galway University Hospitals, Saolta University Hospital Group, Galway, Ireland.,School of Medicine, National University of Ireland, Galway, Ireland
| | - Bairbre McNicholas
- Department of Anaesthesia and Intensive Care medicine, Galway University Hospitals, Saolta University Hospital Group, Galway, Ireland.,School of Medicine, National University of Ireland, Galway, Ireland
| | - John G Laffey
- Department of Anaesthesia and Intensive Care medicine, Galway University Hospitals, Saolta University Hospital Group, Galway, Ireland.,School of Medicine, National University of Ireland, Galway, Ireland.,Regenerative Medicine Institute, National University of Ireland, Galway, Ireland
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27
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Yan YC, Hao WH, Bai FS, Liu S, Qu D, Yuan XY. Clinical Outcome Discrimination in Pediatric ARDS by Chest Radiograph Severity Scoring. Can Respir J 2022; 2022:9309611. [PMID: 35607595 PMCID: PMC9124134 DOI: 10.1155/2022/9309611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 04/19/2022] [Accepted: 04/28/2022] [Indexed: 11/17/2022] Open
Abstract
Background There is no accurate radiological measurement to estimate the severity of pediatrics acute respiratory distress syndrome (PARDS). We validated the effectiveness of an adult radiographic assessment of lung edema (RALE) score in PARDS. Aim To assess the severity and prognosis of PARDS based on a chest radiograph (CXR) RALE scoring method. Methods Pediatric Acute Lung Injury Consensus Conference (PALICC) criteria were used to diagnose PARDS. General demographics, pulmonary complications, and 28-day mortality of the patients were recorded. Subgroups were compared by prognosis (survive and death) and etiology (infection and noninfection). Two observers calculated RALE independently. Each quadrant of CXR was scored by consolidation scores 0 (none alveolar opacity), 1 (extent <25%), 2 (extent 25%-50%), 3 (50%-75%), and 4 (>75%) and density scores 1 (hazy), 2 (moderate), and 3 (dense). Quadrant score equals consolidation score times density score. Total score equals to the sum of four quadrants scores. The ROC curve and survival curve were established, and the optimal cutoff score for discrimination prognosis was set. Results 116 PARDS (72 boys and 44 girls) and 463 CXRs were enrolled. The median age was 25 months (5 months, 60.8 months) and with a mortality of 37.9% (44/116). The agreement between two independent observers was excellent (ICC = 0.98, 95% CI: 0.97-0.99). Day 3 score was independently associated with better survival (p < 0.001). The area under the curve of ROC was 0.773 (95% CI: 0.709-0.838). The cutoff score was 21 (sensitivity 71.7%, specificity 76.5%), and the hazard ratio (HR) was 9.268 (95% CI: 1.257-68.320). The pulmonary complication showed an HR of 3.678 (95% CI: 1.174-11.521) for the discrimination. Conclusion CXR RALE score can be used in PARDS for discriminating the prognosis and has a better agreement among radiologist and pediatrician. PARDS with pulmonary complications, day 3 score whether greater than 21 points, have a better predictive effectiveness.
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Affiliation(s)
- Yu-Chun Yan
- Department of Radiology, The Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Wen-Han Hao
- Department of Radiology, The Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Feng-Sen Bai
- Department of Radiology, The Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Shuang Liu
- Department of Critical Medicine, The Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Dong Qu
- Department of Critical Medicine, The Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Xin-Yu Yuan
- Department of Radiology, The Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing, China
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28
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Valk CMA, Zimatore C, Mazzinari G, Pierrakos C, Sivakorn C, Dechsanga J, Grasso S, Beenen L, Bos LDJ, Paulus F, Schultz MJ, Pisani L. The Prognostic Capacity of the Radiographic Assessment for Lung Edema Score in Patients With COVID-19 Acute Respiratory Distress Syndrome-An International Multicenter Observational Study. Front Med (Lausanne) 2022; 8:772056. [PMID: 35071263 PMCID: PMC8766516 DOI: 10.3389/fmed.2021.772056] [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: 09/07/2021] [Accepted: 11/24/2021] [Indexed: 01/08/2023] Open
Abstract
Background: The radiographic assessment for lung edema (RALE) score has an association with mortality in patients with acute respiratory distress syndrome (ARDS). It is uncertain whether the RALE scores at the start of invasive ventilation or changes thereof in the next days have prognostic capacities in patients with COVID-19 ARDS. Aims and Objectives: To determine the prognostic capacity of the RALE score for mortality and duration of invasive ventilation in patients with COVID-19 ARDS. Methods: An international multicenter observational study included consecutive patients from 6 ICUs. Trained observers scored the first available chest X-ray (CXR) obtained within 48 h after the start of invasive ventilation (“baseline CXR”) and each CXRs thereafter up to day 14 (“follow-up CXR”). The primary endpoint was mortality at day 90. The secondary endpoint was the number of days free from the ventilator and alive at day 28 (VFD-28). Results: A total of 350 CXRs were scored in 139 patients with COVID-19 ARDS. The RALE score of the baseline CXR was high and was not different between survivors and non-survivors (33 [24–38] vs. 30 [25–38], P = 0.602). The RALE score of the baseline CXR had no association with mortality (hazard ratio [HR], 1.24 [95% CI 0.88–1.76]; P = 0.222; area under the receiver operating characteristic curve (AUROC) 0.50 [0.40–0.60]). A change in the RALE score over the first 14 days of invasive ventilation, however, had an independent association with mortality (HR, 1.03 [95% CI 1.01–1.05]; P < 0.001). When the event of death was considered, there was no significant association between the RALE score of the baseline CXR and the probability of being liberated from the ventilator (HR 1.02 [95% CI 0.99–1.04]; P = 0.08). Conclusion: In this cohort of patients with COVID-19 ARDS, with high RALE scores of the baseline CXR, the RALE score of the baseline CXR had no prognostic capacity, but an increase in the RALE score in the next days had an association with higher mortality.
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Affiliation(s)
- Christel M A Valk
- Department of Intensive Care and Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Amsterdam, Netherlands
| | - Claudio Zimatore
- Department of Intensive Care and Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Amsterdam, Netherlands.,Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy
| | - Guido Mazzinari
- Department of Anaesthesiology and Critical Care, Hospital Universitario y Politecnico la Fe, Valencia, Spain.,Perioperative Medicine Research Group, Instituto de Investigación Sanitaria la Fe, Valencia, Spain
| | - Charalampos Pierrakos
- Department of Intensive Care and Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Amsterdam, Netherlands.,Department of Intensive Care, Centre Hospitalier Universitaire Brussels, Brussels, Belgium
| | - Chaisith Sivakorn
- Department of Clinical Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Jutamas Dechsanga
- Division of Pulmonary and Critical Care, Department of Medicine, Chonburi Hospital, Chonburi, Thailand
| | - Salvatore Grasso
- Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy
| | - Ludo Beenen
- Department of Radiology, Amsterdam UMC, Amsterdam, Netherlands
| | - Lieuwe D J Bos
- Department of Intensive Care and Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Amsterdam, Netherlands.,Department of Pulmonology, Amsterdam UMC, Amsterdam, Netherlands
| | - Frederique Paulus
- Department of Intensive Care and Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Amsterdam, Netherlands.,Center of Expertise Urban Vitality, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, Netherlands
| | - Marcus J Schultz
- Department of Intensive Care and Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Amsterdam, Netherlands.,Mahidol-Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok, Thailand.,Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Luigi Pisani
- Department of Intensive Care and Laboratory of Experimental Intensive Care and Anesthesiology (L·E·I·C·A), Amsterdam UMC, Amsterdam, Netherlands.,Mahidol-Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok, Thailand.,Anaesthesia and Intensive Care Unit, Miulli Regional Hospital, Acquaviva delle Fonti, Italy
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29
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Jacobs JL, Naqvi A, Shah FA, Boltz VF, Kearney MF, McVerry BJ, Ray P, Schaefer C, Fitzpatrick M, Methé B, Lee J, Morris A, Mellors JW, Kitsios GD, Bain W. Plasma SARS-CoV-2 RNA levels as a biomarker of lower respiratory tract SARS-CoV-2 infection in critically ill patients with COVID-19. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.01.10.22269018. [PMID: 35043122 PMCID: PMC8764731 DOI: 10.1101/2022.01.10.22269018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Plasma SARS-CoV-2 viral RNA (vRNA) levels are predictive of COVID-19 outcomes in hospitalized patients, but whether plasma vRNA reflects lower respiratory tract (LRT) vRNA levels is unclear. We compared plasma and LRT vRNA levels in simultaneously collected longitudinal samples from mechanically-ventilated patients with COVID-19. LRT and plasma vRNA levels were strongly correlated at first sampling (r=0.83, p<10 -8 ) and then declined in parallel except in non-survivors who exhibited delayed vRNA clearance in LRT samples. Plasma vRNA measurement may offer a practical surrogate of LRT vRNA burden in critically ill patients, especially early in severe disease.
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Affiliation(s)
- Jana L. Jacobs
- University of Pittsburgh School of Medicine, Department of Medicine, Division of Infectious Diseases, Pittsburgh, PA, USA
| | - Asma Naqvi
- University of Pittsburgh School of Medicine, Department of Medicine, Division of Infectious Diseases, Pittsburgh, PA, USA
| | - Faraaz A. Shah
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Veteran’s Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Valerie F. Boltz
- HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA
| | - Mary F. Kearney
- HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA
| | - Bryan J. McVerry
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Prabir Ray
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Caitlin Schaefer
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Meghan Fitzpatrick
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Barbara Methé
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Janet Lee
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alison Morris
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - John W. Mellors
- University of Pittsburgh School of Medicine, Department of Medicine, Division of Infectious Diseases, Pittsburgh, PA, USA
| | - Georgios D. Kitsios
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - William Bain
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Veteran’s Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
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30
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Puntaje radiográfico de evaluación del edema pulmonar (RALE) y su asociación con desenlaces clínicos en el síndrome de dificultad respiratoria aguda en Colombia. ACTA COLOMBIANA DE CUIDADO INTENSIVO 2022. [PMCID: PMC8746788 DOI: 10.1016/j.acci.2021.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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31
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Sathe NA, Zelnick LR, Mikacenic C, Morrell ED, Bhatraju PK, McNeil JB, Kosamo S, Hough CL, Liles WC, Ware LB, Wurfel MM. Identification of persistent and resolving subphenotypes of acute hypoxemic respiratory failure in two independent cohorts. Crit Care 2021; 25:336. [PMID: 34526076 PMCID: PMC8442814 DOI: 10.1186/s13054-021-03755-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 08/31/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Acute hypoxemic respiratory failure (HRF) is associated with high morbidity and mortality, but its heterogeneity challenges the identification of effective therapies. Defining subphenotypes with distinct prognoses or biologic features can improve therapeutic trials, but prior work has focused on ARDS, which excludes many acute HRF patients. We aimed to characterize persistent and resolving subphenotypes in the broader HRF population. METHODS In this secondary analysis of 2 independent prospective ICU cohorts, we included adults with acute HRF, defined by invasive mechanical ventilation and PaO2-to-FIO2 ratio ≤ 300 on cohort enrollment (n = 768 in the discovery cohort and n = 1715 in the validation cohort). We classified patients as persistent HRF if still requiring mechanical ventilation with PaO2-to-FIO2 ratio ≤ 300 on day 3 following ICU admission, or resolving HRF if otherwise. We estimated relative risk of 28-day hospital mortality associated with persistent HRF, compared to resolving HRF, using generalized linear models. We also estimated fold difference in circulating biomarkers of inflammation and endothelial activation on cohort enrollment among persistent HRF compared to resolving HRF. Finally, we stratified our analyses by ARDS to understand whether this was driving differences between persistent and resolving HRF. RESULTS Over 50% developed persistent HRF in both the discovery (n = 386) and validation (n = 1032) cohorts. Persistent HRF was associated with higher risk of death relative to resolving HRF in both the discovery (1.68-fold, 95% CI 1.11, 2.54) and validation cohorts (1.93-fold, 95% CI 1.50, 2.47), after adjustment for age, sex, chronic respiratory illness, and acute illness severity on enrollment (APACHE-III in discovery, APACHE-II in validation). Patients with persistent HRF displayed higher biomarkers of inflammation (interleukin-6, interleukin-8) and endothelial dysfunction (angiopoietin-2) than resolving HRF after adjustment. Only half of persistent HRF patients had ARDS, yet exhibited higher mortality and biomarkers than resolving HRF regardless of whether they qualified for ARDS. CONCLUSION Patients with persistent HRF are common and have higher mortality and elevated circulating markers of lung injury compared to resolving HRF, and yet only a subset are captured by ARDS definitions. Persistent HRF may represent a clinically important, inclusive target for future therapeutic trials in HRF.
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Affiliation(s)
- Neha A Sathe
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, 325 9th Avenue, Box # 359640, Seattle, WA, 98104, USA.
| | - Leila R Zelnick
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Carmen Mikacenic
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, 325 9th Avenue, Box # 359640, Seattle, WA, 98104, USA
- Benaroya Research Institute, Seattle, WA, USA
| | - Eric D Morrell
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, 325 9th Avenue, Box # 359640, Seattle, WA, 98104, USA
| | - Pavan K Bhatraju
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, 325 9th Avenue, Box # 359640, Seattle, WA, 98104, USA
- Sepsis Center of Research Excellence, University of Washington, Seattle, WA, USA
| | - J Brennan McNeil
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Susanna Kosamo
- Department of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland
| | - Catherine L Hough
- Division of Pulmonary and Critical Care, Department of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - W Conrad Liles
- Sepsis Center of Research Excellence, University of Washington, Seattle, WA, USA
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Lorraine B Ware
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Mark M Wurfel
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, 325 9th Avenue, Box # 359640, Seattle, WA, 98104, USA
- Sepsis Center of Research Excellence, University of Washington, Seattle, WA, USA
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Drohan CM, Nouraie SM, Bain W, Shah FA, Evankovich J, Zhang Y, Morris A, McVerry BJ, Kitsios GD. Biomarker-Based Classification of Patients With Acute Respiratory Failure Into Inflammatory Subphenotypes: A Single-Center Exploratory Study. Crit Care Explor 2021; 3:e0518. [PMID: 34476405 PMCID: PMC8378789 DOI: 10.1097/cce.0000000000000518] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVES Hyper- and hypoinflammatory subphenotypes discovered in patients with acute respiratory distress syndrome predict clinical outcomes and therapeutic responses. These subphenotypes may be important in broader critically ill patient populations with acute respiratory failure regardless of clinical diagnosis. We investigated subphenotyping with latent class analysis in an inclusive population of acute respiratory failure, derived a parsimonious model for subphenotypic predictions based on a small set of variables, and examined associations with clinical outcomes. DESIGN Prospective, observational cohort study. SETTING Single-center, academic medical ICU. PATIENTS Mechanically ventilated patients with acute respiratory failure. MEASUREMENTS AND MAIN RESULTS We included 498 patients with acute respiratory failure (acute respiratory distress syndrome: 143, at-risk for acute respiratory distress syndrome: 198, congestive heart failure: 37, acute on chronic respiratory failure: 23, airway protection: 61, and multifactorial: 35) in our derivation cohort and measured 10 baseline plasma biomarkers. Latent class analysis considering clinical variables and biomarkers determined that a two-class model offered optimal fit (23% hyperinflammatory subphenotype). Distribution of hyperinflammatory subphenotype varied among acute respiratory failure etiologies (acute respiratory distress syndrome: 31%, at-risk for acute respiratory distress syndrome: 27%, congestive heart failure: 22%, acute on chronic respiratory failure 0%, airway protection: 5%, and multifactorial: 14%). Hyperinflammatory patients had higher Sequential Organ Failure Assessment scores, fewer ventilator-free days, and higher 30- and 90-day mortality (all p < 0.001). We derived a parsimonious model consisting of angiopoietin-2, soluble tumor necrosis factor receptor-1, procalcitonin, and bicarbonate and classified subphenotypes in a validation cohort (n = 139). Hyperinflammatory patients (19%) demonstrated higher levels of inflammatory biomarkers not included in the model (p < 0.01) and worse outcomes. CONCLUSIONS Host-response subphenotypes are observable in a heterogeneous population with acute respiratory failure and predict clinical outcomes. Simple, biomarker-based models can offer prognostic enrichment in patients with acute respiratory failure. The differential distribution of subphenotypes by specific etiologies of acute respiratory failure indicates that subphenotyping may be more relevant in patients with hypoxemic causes of acute respiratory failure and not in patients intubated for airway protection or acute on chronic decompensation.
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Affiliation(s)
- Callie M Drohan
- Division of General Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - S Mehdi Nouraie
- Acute Lung Injury Center of Excellence, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - William Bain
- Acute Lung Injury Center of Excellence, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
- Staff Physician, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA
| | - Faraaz A Shah
- Acute Lung Injury Center of Excellence, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
- Staff Physician, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA
| | - John Evankovich
- Acute Lung Injury Center of Excellence, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Yingze Zhang
- Acute Lung Injury Center of Excellence, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Alison Morris
- Acute Lung Injury Center of Excellence, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Bryan J McVerry
- Acute Lung Injury Center of Excellence, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Georgios D Kitsios
- Acute Lung Injury Center of Excellence, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
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33
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Kitsios GD, Kotok D, Yang H, Finkelman MA, Zhang Y, Britton N, Li X, Levochkina MS, Wagner AK, Schaefer C, Villandre JJ, Guo R, Evankovich JW, Bain W, Shah F, Zhang Y, Methé BA, Benos PV, McVerry BJ, Morris A. Plasma 1,3-β-d-glucan levels predict adverse clinical outcomes in critical illness. JCI Insight 2021; 6:e141277. [PMID: 34128840 PMCID: PMC8410081 DOI: 10.1172/jci.insight.141277] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 06/09/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUNDThe fungal cell wall constituent 1,3-β-d-glucan (BDG) is a pathogen-associated molecular pattern that can stimulate innate immunity. We hypothesized that BDG from colonizing fungi in critically ill patients may translocate into the systemic circulation and be associated with host inflammation and outcomes.METHODSWe enrolled 453 mechanically ventilated patients with acute respiratory failure (ARF) without invasive fungal infection and measured BDG, innate immunity, and epithelial permeability biomarkers in serially collected plasma samples.RESULTSCompared with healthy controls, patients with ARF had significantly higher BDG levels (median [IQR], 26 pg/mL [15-49 pg/mL], P < 0.001), whereas patients with ARF with high BDG levels (≥40 pg/mL, 31%) had higher odds for assignment to the prognostically adverse hyperinflammatory subphenotype (OR [CI], 2.88 [1.83-4.54], P < 0.001). Baseline BDG levels were predictive of fewer ventilator-free days and worse 30-day survival (adjusted P < 0.05). Integrative analyses of fungal colonization and epithelial barrier disruption suggested that BDG may translocate from either the lung or gut compartment. We validated the associations between plasma BDG and host inflammatory responses in 97 hospitalized patients with COVID-19.CONCLUSIONBDG measurements offered prognostic information in critically ill patients without fungal infections. Further research in the mechanisms of translocation and innate immunity recognition and stimulation may offer new therapeutic opportunities in critical illness.FUNDINGUniversity of Pittsburgh Clinical and Translational Science Institute, COVID-19 Pilot Award and NIH grants (K23 HL139987, U01 HL098962, P01 HL114453, R01 HL097376, K24 HL123342, U01 HL137159, R01 LM012087, K08HK144820, F32 HL142172, K23 GM122069).
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Affiliation(s)
- Georgios D Kitsios
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Center for Medicine and the Microbiome and.,Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Daniel Kotok
- Department of Pulmonary and Critical Care Medicine, Cleveland Clinic Florida, Weston Hospital, Weston, Florida, USA
| | - Haopu Yang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,School of Medicine, Tsinghua University, Beijing, China.,Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Yonglong Zhang
- Associates of Cape Cod Inc., East Falmouth, Massachusetts, USA
| | - Noel Britton
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Center for Medicine and the Microbiome and
| | - Xiaoyun Li
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Marina S Levochkina
- Department of Infectious Diseases and Microbiology and.,Departments of Physical Medicine and Rehabilitation, Neuroscience, and Clinical and Translational Science, Center for Neuroscience, Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Amy K Wagner
- Departments of Physical Medicine and Rehabilitation, Neuroscience, and Clinical and Translational Science, Center for Neuroscience, Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Caitlin Schaefer
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - John J Villandre
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Rui Guo
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Department of Emergency and Critical Care Medicine, First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - John W Evankovich
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - William Bain
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Faraaz Shah
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Yingze Zhang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Barbara A Methé
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Center for Medicine and the Microbiome and
| | - Panayiotis V Benos
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Bryan J McVerry
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Center for Medicine and the Microbiome and.,Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Alison Morris
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Center for Medicine and the Microbiome and.,Acute Lung Injury Center of Excellence, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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Huang S, Wang YC, Ju S. Advances in medical imaging to evaluate acute respiratory distress syndrome. ACTA ACUST UNITED AC 2021; 5:1-9. [PMID: 34308253 PMCID: PMC8286037 DOI: 10.1007/s42058-021-00078-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 06/09/2021] [Accepted: 07/08/2021] [Indexed: 11/12/2022]
Abstract
Acute respiratory distress syndrome is a refractory respiratory syndrome with a high prevalence in the Intensive Care Unit. Though much improvement has been achieved over the last 50 decades, the disease continues to be under-recognized and under-treated, and its mortality remains high. Since the first report, the radiologic examination has been an essential part in evaluating this disease. Chest X-ray radiography and computed tomography are conventional imaging techniques in routine clinical practice. Other image modalities, including lung ultrasound, electrical impedance tomography, positron emission tomography, have demonstrated their respective advantages over recent years but have not yet been broadly applied in clinical practice. Among these modalities, computed tomography and its quantitative analysis have shown an irreplaceable power in diagnosis, intervention evaluation and prognostic prediction. In this review, we briefly introduced the basics of acute respiratory distress syndrome and summarized imaging advances. In addition, we focused on the computed tomography modality and highlighted the value of its quantitative assessment.
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Affiliation(s)
- Shan Huang
- Department of Radiology, Jiangsu Key Laboratory of Molecular and Functional Imaging, School of Medicine, Zhongda Hospital, Southeast University, 87 Ding Jia Qiao Road, Nanjing, 210009 Jiangsu China
| | - Yuan-Cheng Wang
- Department of Radiology, Jiangsu Key Laboratory of Molecular and Functional Imaging, School of Medicine, Zhongda Hospital, Southeast University, 87 Ding Jia Qiao Road, Nanjing, 210009 Jiangsu China.,Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast University, Nanjing, 210009 China
| | - Shenghong Ju
- Department of Radiology, Jiangsu Key Laboratory of Molecular and Functional Imaging, School of Medicine, Zhongda Hospital, Southeast University, 87 Ding Jia Qiao Road, Nanjing, 210009 Jiangsu China
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35
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Zimatore C, Pisani L, Lippolis V, Warren MA, Calfee CS, Ware LB, Algera AG, Smit MR, Grasso S, Schultz MJ. Accuracy of the Radiographic Assessment of Lung Edema Score for the Diagnosis of ARDS. Front Physiol 2021; 12:672823. [PMID: 34122143 PMCID: PMC8188799 DOI: 10.3389/fphys.2021.672823] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 04/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Bilateral opacities on chest radiographs are part of the Berlin Definition for Acute Respiratory Distress Syndrome (ARDS) but have poor interobserver reliability. The “Radiographic Assessment of Lung Edema” (RALE) score was recently proposed for evaluation of the extent and density of alveolar opacities on chest radiographs of ARDS patients. The current study determined the accuracy of the RALE score for the diagnosis and the prognosis of ARDS. Methods:Post-hoc analysis of a cohort of invasively ventilated intensive care unit (ICU) patients expected to need invasive ventilation for >24 h. The Berlin Definition was used as the gold standard. The RALE score was calculated for the first available chest radiograph after start of ventilation in the ICU. The primary endpoint was the diagnostic accuracy for ARDS of the RALE score. Secondary endpoints included the prognostic value of the RALE score for ICU and hospital mortality, and the association with ARDS severity, and the PaO2/FiO2. Receiver operating characteristic (ROC) curves were constructed, and the optimal cutoff was used to determine sensitivity, specificity and the negative and positive predictive value of the RALE score for ARDS. Results: The study included 131 patients, of whom 30 had ARDS (11 mild, 15 moderate, and 4 severe ARDS). The first available chest radiograph was obtained median 0 [0 to 1] days after start of invasive ventilation in ICU. Compared to patients without ARDS, a higher RALE score was found in patients with ARDS (24 [interquartile range (IQR) 16–30] vs. 6 [IQR 3–11]; P < 0.001), with RALE scores of 20 [IQR 14–24], 26 [IQR 16–32], and 32 [IQR 19–36] for mild, moderate and severe ARDS, respectively, (P = 0.166). The area under the ROC for ARDS was excellent (0.91 [0.86–0.96]). The best cutoff for ARDS diagnosis was 10 with 100% sensitivity, 71% specificity, 51% positive predictive value and 100% negative predictive value. The RALE score was not associated with ICU or hospital mortality, and weakly correlated with the PaO2/FiO2. Conclusion: In this cohort of invasively ventilated ICU patients, the RALE score had excellent diagnostic accuracy for ARDS.
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Affiliation(s)
- Claudio Zimatore
- Department of Intensive Care, Academic Medical Center, Amsterdam, Netherlands.,Department of Emergency and Organ Transplantation, School of Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Luigi Pisani
- Department of Intensive Care, Academic Medical Center, Amsterdam, Netherlands.,Mahidol-Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok, Thailand.,Department of Anesthesia and Perioperative Medicine, Regional General Hospital F. Miulli, Acquaviva delle Fonti, Italy
| | | | - Melissa A Warren
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Carolyn S Calfee
- Department of Medicine and Department of Anesthesia, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, United States
| | - Lorraine B Ware
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States.,Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Anna Geke Algera
- Department of Intensive Care, Academic Medical Center, Amsterdam, Netherlands
| | - Marry R Smit
- Department of Intensive Care, Academic Medical Center, Amsterdam, Netherlands
| | - Salvatore Grasso
- Department of Emergency and Organ Transplantation, School of Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Marcus J Schultz
- Department of Intensive Care, Academic Medical Center, Amsterdam, Netherlands.,Mahidol-Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok, Thailand
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36
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Matthay MA, Arabi YM, Siegel ER, Ware LB, Bos LDJ, Sinha P, Beitler JR, Wick KD, Curley MAQ, Constantin JM, Levitt JE, Calfee CS. Phenotypes and personalized medicine in the acute respiratory distress syndrome. Intensive Care Med 2020; 46:2136-2152. [PMID: 33206201 PMCID: PMC7673253 DOI: 10.1007/s00134-020-06296-9] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 10/13/2020] [Indexed: 12/15/2022]
Abstract
Although the acute respiratory distress syndrome (ARDS) is well defined by the development of acute hypoxemia, bilateral infiltrates and non-cardiogenic pulmonary edema, ARDS is heterogeneous in terms of clinical risk factors, physiology of lung injury, microbiology, and biology, potentially explaining why pharmacologic therapies have been mostly unsuccessful in treating ARDS. Identifying phenotypes of ARDS and integrating this information into patient selection for clinical trials may increase the chance for efficacy with new treatments. In this review, we focus on classifying ARDS by the associated clinical disorders, physiological data, and radiographic imaging. We consider biologic phenotypes, including plasma protein biomarkers, gene expression, and common causative microbiologic pathogens. We will also discuss the issue of focusing clinical trials on the patient's phase of lung injury, including prevention, administration of therapy during early acute lung injury, and treatment of established ARDS. A more in depth understanding of the interplay of these variables in ARDS should provide more success in designing and conducting clinical trials and achieving the goal of personalized medicine.
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Affiliation(s)
- Michael A Matthay
- Department of Anesthesia, University of California San Francisco, San Francisco, CA, USA.
- Cardiovascular Research Institute, University of California, San Francisco, USA.
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California, San Francisco, USA.
| | - Yaseen M Arabi
- King Saud Bin Abdulaziz University for Health Sciences and King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Emily R Siegel
- Cardiovascular Research Institute, University of California, San Francisco, USA
| | - Lorraine B Ware
- Division of Allergy, Pulmonary and Critical Care, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lieuwe D J Bos
- Department of Respiratory Medicine, Amsterdam University Medical Centers, Location AMC, University of Amsterdam, Infection and Immunity, Amsterdam, The Netherlands
| | - Pratik Sinha
- Department of Anesthesiology, Washington University, Saint Louis, MO, USA
| | - Jeremy R Beitler
- Division of Pulmonary, Allergy, and Critical Care Medicine, Center for Acute Respiratory Failure, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Katherine D Wick
- Cardiovascular Research Institute, University of California, San Francisco, USA
| | - Martha A Q Curley
- School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean-Michel Constantin
- Department of Anesthesia and Critical Care, La Pitié Salpetriere Hospital, University Paris-Sorbonne, Paris, France
| | - Joseph E Levitt
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Carolyn S Calfee
- Department of Anesthesia, University of California San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California, San Francisco, USA
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Homayounieh F, Zhang EW, Babaei R, Karimi Mobin H, Sharifian M, Mohseni I, Kuo A, Arru C, Kalra MK, Digumarthy SR. Clinical and imaging features predict mortality in COVID-19 infection in Iran. PLoS One 2020; 15:e0239519. [PMID: 32970733 PMCID: PMC7514030 DOI: 10.1371/journal.pone.0239519] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 09/08/2020] [Indexed: 01/10/2023] Open
Abstract
The new coronavirus disease 2019 (COVID-19) pandemic has challenged many healthcare systems around the world. While most of the current understanding of the clinical features of COVID-19 is derived from Chinese studies, there is a relative paucity of reports from the remaining global health community. In this study, we analyze the clinical and radiologic factors that correlate with mortality odds in COVID-19 positive patients from a tertiary care center in Tehran, Iran. A retrospective cohort study of 90 patients with reverse transcriptase-polymerase chain reaction (RT-PCR) positive COVID-19 infection was conducted, analyzing demographics, co-morbidities, presenting symptoms, vital signs, laboratory values, chest radiograph findings, and chest CT features based on mortality. Chest radiograph was assessed using the Radiographic Assessment of Lung Edema (RALE) scoring system. Chest CTs were assessed according to the opacification pattern, distribution, and standardized severity score. Initial and follow-up Chest CTs were compared if available. Multiple logistic regression was used to generate a prediction model for mortality. The 90 patients included 59 men and 31 women (59.4 ± 16.6 years), including 21 deceased and 69 surviving patients. Among clinical features, advanced age (p = 0.02), low oxygenation saturation (p<0.001), leukocytosis (p = 0.02), low lymphocyte fraction (p = 0.03), and low platelet count (p = 0.048) were associated with increased mortality. High RALE score on initial chest radiograph (p = 0.002), presence of pleural effusions on initial CT chest (p = 0.005), development of pleural effusions on follow-up CT chest (p = 0.04), and worsening lung severity score on follow-up CT Chest (p = 0.03) were associated with mortality. A two-factor logistic model using patient age and oxygen saturation was created, which demonstrates 89% accuracy and area under the ROC curve of 0.86 (p<0.0001). Specific demographic, clinical, and imaging features are associated with increased mortality in COVID-19 infections. Attention to these features can help optimize patient management.
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Affiliation(s)
- Fatemeh Homayounieh
- Division of Thoracic Imaging and Intervention, Department of Radiology, Harvard University, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Eric W Zhang
- Division of Thoracic Imaging and Intervention, Department of Radiology, Harvard University, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Rosa Babaei
- Department of Radiology, University of Medical Sciences, Firoozgar Hospital, Tehran, Iran
| | - Hadi Karimi Mobin
- Department of Radiology, University of Medical Sciences, Firoozgar Hospital, Tehran, Iran
| | - Maedeh Sharifian
- Department of Radiology, University of Medical Sciences, Firoozgar Hospital, Tehran, Iran
| | - Iman Mohseni
- Department of Radiology, University of Medical Sciences, Firoozgar Hospital, Tehran, Iran
| | - Anderson Kuo
- Division of Cardiovascular Imaging, Department of Radiology, Harvard University, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Chiara Arru
- Division of Thoracic Imaging and Intervention, Department of Radiology, Harvard University, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Mannudeep K Kalra
- Division of Thoracic Imaging and Intervention, Department of Radiology, Harvard University, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Subba R Digumarthy
- Division of Thoracic Imaging and Intervention, Department of Radiology, Harvard University, Massachusetts General Hospital, Boston, Massachusetts, United States of America
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Jabaudon M, Audard J, Pereira B, Jaber S, Lefrant JY, Blondonnet R, Godet T, Futier E, Lambert C, Bazin JE, Bastarache JA, Constantin JM, Ware LB. Early Changes Over Time in the Radiographic Assessment of Lung Edema Score Are Associated With Survival in ARDS. Chest 2020; 158:2394-2403. [PMID: 32659235 PMCID: PMC7768934 DOI: 10.1016/j.chest.2020.06.070] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 06/10/2020] [Accepted: 06/26/2020] [Indexed: 12/12/2022] Open
Abstract
Background The Radiographic Assessment of Lung Edema (RALE) score is associated with the severity of ARDS, and treatments targeted at reducing pulmonary edema such as conservative fluid management cause a reduction in RALE score over time. Research Question Are early changes in RALE score over time associated with survival in patients with ARDS? Study Design and Methods Data from patients enrolled in three centers in the Lung Imaging for Ventilation sEtting in ARDS (LIVE) trial with available chest radiographs at baseline (day 0) and days 2 or 3 were used. The RALE was scored by two independent reviewers. The primary end point was death by day 90, considering RALE score both at baseline and as a time-varying covariate in a marginal Cox survival model. Results RALE was scored from 135, 64, and 88 radiographs on days 0, 2, and 3, respectively. Both baseline RALE (hazard ratio [HR] for each one-point increment, 1.04; 95% CI, 1.01-1.08; P = .006) and the change in RALE over time (HR for each one-point decrease per unit of time, 0.99; 95% CI, 0.99-0.99; P = .03) were associated with death by day 90, even after adjustment for age, sex, BMI, Simplified Acute Physiology Score II, vasopressor use, and total volume of fluids received since study entry. Interpretation The change in RALE during the first days after ARDS onset is independently associated with survival and may be useful as a surrogate end point in future clinical trials of new therapeutics in ARDS.
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Affiliation(s)
- Matthieu Jabaudon
- Department of Perioperative Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France; GReD, CNRS UMR 6293, INSERM U1103, Université Clermont Auvergne, Clermont-Ferrand, France; Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
| | - Jules Audard
- Department of Perioperative Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France; GReD, CNRS UMR 6293, INSERM U1103, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Bruno Pereira
- Biostatistics and Data Management Unit, Department of Clinical Research and Innovation (DRCI), CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Samir Jaber
- Montpellier University Hospital, Saint Eloi Intensive Care Unit and PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France
| | - Jean-Yves Lefrant
- Service de Recherche Clinique en Soins Critiques, Pôle Anesthésie Douleur Urgences Réanimation, Centre Hospitalier Universitaire de Nîmes, Université de Montpellier, Montpellier, France
| | - Raiko Blondonnet
- Department of Perioperative Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France; GReD, CNRS UMR 6293, INSERM U1103, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Thomas Godet
- Department of Perioperative Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Emmanuel Futier
- Department of Perioperative Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France; GReD, CNRS UMR 6293, INSERM U1103, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Céline Lambert
- Biostatistics and Data Management Unit, Department of Clinical Research and Innovation (DRCI), CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Jean-Etienne Bazin
- Department of Perioperative Medicine, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Julie A Bastarache
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Departments of Cell and Developmental Biology, Vanderbilt University, Nashville, TN; Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN
| | - Jean-Michel Constantin
- Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France
| | - Lorraine B Ware
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN
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