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Global and Regional Diagnostic Accuracy of Lung Ultrasound Compared to CT in Patients With Acute Respiratory Distress Syndrome. Crit Care Med 2020; 47:1599-1606. [PMID: 31464770 DOI: 10.1097/ccm.0000000000003971] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Lung CT is the reference imaging technique for acute respiratory distress syndrome, but requires transportation outside the intensive care and x-ray exposure. Lung ultrasound is a promising, inexpensive, radiation-free, tool for bedside imaging. Aim of the present study was to compare the global and regional diagnostic accuracy of lung ultrasound and CT scan. DESIGN A prospective, observational study. SETTING Intensive care and radiology departments of a University hospital. PATIENTS Thirty-two sedated, paralyzed acute respiratory distress syndrome patients (age 65 ± 14 yr, body mass index 25.9 ± 6.5 kg/m, and PaO2/FIO2 139 ± 47). INTERVENTIONS Lung CT scan and lung ultrasound were performed at positive end-expiratory pressure 5 cm H2O. A standardized assessment of six regions per hemithorax was used; each region was classified for the presence of normal aeration, alveolar-interstitial syndrome, consolidation, and pleural effusion. Agreement between the two techniques was calculated, and diagnostic variables were assessed for lung ultrasound using lung CT as a reference. MEASUREMENTS AND MAIN RESULTS Global agreement between lung ultrasound and CT ranged from 0.640 (0.391-0.889) to 0.934 (0.605-1.000) and was on average 0.775 (0.577-0.973). The overall sensitivity and specificity of lung ultrasound ranged from 82.7% to 92.3% and from 90.2% to 98.6%, respectively. Similar results were found with regional analysis. The diagnostic accuracy of lung ultrasound was significantly higher when those patterns not reaching the pleural surface were excluded (area under the receiver operating characteristic curve: alveolar-interstitial syndrome 0.854 [0.821-0.887] vs 0.903 [0.852-0.954]; p = 0.049 and consolidation 0.851 [0.818-0.884] vs 0.896 [0.862-0.929]; p = 0.044). CONCLUSIONS Lung ultrasound is a reproducible, sensitive, and specific tool, which allows for bedside detections of the morphologic patterns in acute respiratory distress syndrome. The presence of deep lung alterations may impact the diagnostic performance of this technique.
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López-Fernández YM, Smith LS, Kohne JG, Weinman JP, Modesto-Alapont V, Reyes-Dominguez SB, Medina A, Piñeres-Olave BE, Mahieu N, Klein MJ, Flori HR, Jouvet P, Khemani RG. Prognostic relevance and inter-observer reliability of chest-imaging in pediatric ARDS: a pediatric acute respiratory distress incidence and epidemiology (PARDIE) study. Intensive Care Med 2020; 46:1382-1393. [PMID: 32451578 PMCID: PMC7246298 DOI: 10.1007/s00134-020-06074-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 04/27/2020] [Indexed: 11/29/2022]
Abstract
Purpose Definitions of acute respiratory distress syndrome (ARDS) include radiographic criteria, but there are concerns about reliability and prognostic relevance. This study aimed to evaluate the independent relationship between chest imaging and mortality and examine the inter-rater variability of interpretations of chest radiographs (CXR) in pediatric ARDS (PARDS). Methods Prospective, international observational study in children meeting Pediatric Acute Lung Injury Consensus Conference (PALICC) criteria for PARDS, which requires new infiltrate(s) consistent with pulmonary parenchymal disease, without mandating bilateral infiltrates. Mortality analysis focused on the entire cohort, whereas inter-observer variability used a subset of patients with blinded, simultaneous interpretation of CXRs by intensivists and radiologists. Results Bilateral infiltrates and four quadrants of alveolar consolidation were associated with mortality on a univariable basis, using CXRs from 708 patients with PARDS. For patients on either invasive (IMV) or non-invasive ventilation (NIV) with PaO2/FiO2 (PF) ratios (or SpO2/FiO2 (SF) ratio equivalent) > 100, neither bilateral infiltrates (OR 1.3 (95% CI 0.68, 2.5), p = 0.43), nor 4 quadrants of alveolar consolidation (OR 1.6 (0.85, 3), p = 0.14) were associated with mortality. For patients with PF ≤ 100, bilateral infiltrates (OR 3.6 (1.4, 9.4), p = 0.01) and four quadrants of consolidation (OR 2.0 (1.14, 3.5), p = 0.02) were associated with higher mortality. A subset of 702 CXRs from 233 patients had simultaneous interpretations. Interobserver agreement for bilateral infiltrates and quadrants was “slight” (kappa 0.31 and 0.33). Subgroup analysis showed agreement did not differ when stratified by PARDS severity but was slightly higher for children with chronic respiratory support (kappa 0.62), NIV at PARDS diagnosis (kappa 0.53), age > 10 years (kappa 0.43) and fluid balance > 40 ml/kg (kappa 0.48). Conclusion Bilateral infiltrates and quadrants of alveolar consolidation are associated with mortality only for those with PF ratio ≤ 100, although there is high- inter-rater variability in these chest-x ray parameters. Electronic supplementary material The online version of this article (10.1007/s00134-020-06074-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yolanda M López-Fernández
- Pediatric Intensive Care Unit, Department of Pediatrics, Biocruces Health Research Institute, Cruces University Hospital, Plaza Cruces 12, 48903, Barakaldo, Bizkaia, Basque Country, Spain.
| | - Lincoln S Smith
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Joseph G Kohne
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Michigan CS. Mott Children's Hospital, Ann Arbor, MI, USA
| | - Jason P Weinman
- Department of Radiology, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, CO, USA
| | | | | | - Alberto Medina
- Hospital Universitario Central de Asturias, Oviedo, Spain
| | - Byron E Piñeres-Olave
- Department of Pediatric Critical Care Medicine, Hospital Pablo Tobón Uribe, Medellín, Colombia
| | - Natalie Mahieu
- Department of Radiology, Children's Hospital of Los Angeles, University of Southern California, Los Angeles, CA, USA.,Department of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montreal, QC, Canada
| | - Margaret J Klein
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Los Angeles, University of Southern California, Los Angeles, CA, USA
| | - Heidi R Flori
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Michigan CS. Mott Children's Hospital, Ann Arbor, MI, USA
| | - Philippe Jouvet
- Department of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montreal, QC, Canada
| | - Robinder G Khemani
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Los Angeles, University of Southern California, Los Angeles, CA, USA
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Metwaly SM, Winston BW. Systems Biology ARDS Research with a Focus on Metabolomics. Metabolites 2020; 10:metabo10050207. [PMID: 32438561 PMCID: PMC7281154 DOI: 10.3390/metabo10050207] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 05/09/2020] [Accepted: 05/15/2020] [Indexed: 12/19/2022] Open
Abstract
Acute respiratory distress syndrome (ARDS) is a clinical syndrome that inflicts a considerably heavy toll in terms of morbidity and mortality. While there are multitudes of conditions that can lead to ARDS, the vast majority of ARDS cases are caused by a relatively small number of diseases, especially sepsis and pneumonia. Currently, there is no clinically agreed upon reliable diagnostic test for ARDS, and the detection or diagnosis of ARDS is based on a constellation of laboratory and radiological tests in the absence of evidence of left ventricular dysfunction, as specified by the Berlin definition of ARDS. Virtually all the ARDS biomarkers to date have been proven to be of very limited clinical utility. Given the heterogeneity of ARDS due to the wide variation in etiology, clinical and molecular manifestations, there is a current scientific consensus agreement that ARDS is not just a single entity but rather a spectrum of conditions that need further study for proper classification, the identification of reliable biomarkers and the adequate institution of therapeutic targets. This scoping review aims to elucidate ARDS omics research, focusing on metabolomics and how metabolomics can boost the study of ARDS biomarkers and help to facilitate the identification of ARDS subpopulations.
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Affiliation(s)
- Sayed M. Metwaly
- Department of Critical Care Medicine, Faculty of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada;
| | - Brent W. Winston
- Department of Critical Care Medicine, Faculty of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada;
- Departments of Medicine and Biochemistry and Molecular Biology, University of Calgary, Calgary, AB T2N 4Z6, Canada
- Correspondence: ; Tel.: +1-(403)-220-4331; Fax: +1-(403)-283-1267
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In Brief. Curr Probl Surg 2020. [DOI: 10.1016/j.cpsurg.2020.100778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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55
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Mowery NT, Terzian WTH, Nelson AC. Acute lung injury. Curr Probl Surg 2020; 57:100777. [PMID: 32505224 DOI: 10.1016/j.cpsurg.2020.100777] [Citation(s) in RCA: 139] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 02/24/2020] [Indexed: 01/04/2023]
Affiliation(s)
- Nathan T Mowery
- Associate Professor of Surgery, Wake Forest Medical Center, Winston-Salem, NC.
| | | | - Adam C Nelson
- Acute Care Surgery Fellow, Wake Forest Medical Center, Winston-Salem, NC
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56
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Zong HF, Guo G, Liu J, Bao LL, Yang CZ. Using lung ultrasound to quantitatively evaluate pulmonary water content. Pediatr Pulmonol 2020; 55:729-739. [PMID: 31917899 DOI: 10.1002/ppul.24635] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 12/27/2019] [Indexed: 02/05/2023]
Abstract
BACKGROUND Increases in extravascular lung water (EVLW) can lead to respiratory failure. This study aimed to investigate whether the B-line score (BLS) was correlated with the EVLW content determined by the lung wet/dry ratio in a rabbit model. METHODS A total of 45 New Zealand rabbits were randomly assigned to nine groups. Among the animals, models of various lung water content levels were induced by the infusion of different volumes of warm sterile normal saline (NS) via the endotracheal tube. The arterial blood gas, spontaneous respiratory rate, and PaO2 /FiO2 ratio were detected before and after infusion. In addition, the B-lines were determined before and immediately after infusion in each group. Finally, both lungs were resected to determine the wet/dry ratio. In addition, all lung specimens were analyzed histologically, and EVLW was quantified using the BLS based on the number and confluence of B-lines in the intercostal space. RESULTS The BLS increased with increasing infusion volume. The BLS was statistically correlated with the wet/dry ratio (r2 = .946) and with the PaO2 /FiO2 ratio (r2 = .916). Furthermore, a repeatability study was performed for the lung ultrasound (LUS) technology (Bland-Altman plots), and the results suggest that LUS had favorable intraobserver and interobserver reproducibility. CONCLUSIONS This study is the first to suggest that the BLS can serve as a sensitive, quantitative, noninvasive, and real-time indicator of EVLW in a rabbit model of lung water accumulation. Notably, the BLS displayed an obvious correlation with the experimental gravimetry results and could also be used to predict the pulmonary oxygenation status.
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Affiliation(s)
- Hai-Feng Zong
- Department of Paediatrics, The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Paediatrics, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Neonatology and NICU, Beijing Chaoyang District Maternal and Child Healthecare Hospital, Beijing, China
- Department of Neonatal Intensive Care Unit, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Guo Guo
- Department of Neonatology and NICU, Beijing Chaoyang District Maternal and Child Healthecare Hospital, Beijing, China
- Department of Paediatrics, Medical School of Chinese PLA, Beijing, China
- Department of Neonatology, The Fifth Medical Center of The PLA General Hospital, Beijing, China
| | - Jing Liu
- Department of Paediatrics, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Neonatology and NICU, Beijing Chaoyang District Maternal and Child Healthecare Hospital, Beijing, China
| | - Lin-Lin Bao
- Department of Dermatology, Shenzhen People's Hospital, Shenzhen, China
| | - Chuan-Zhong Yang
- Department of Paediatrics, The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Neonatal Intensive Care Unit, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
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Ranieri VM, Pettilä V, Karvonen MK, Jalkanen J, Nightingale P, Brealey D, Mancebo J, Ferrer R, Mercat A, Patroniti N, Quintel M, Vincent JL, Okkonen M, Meziani F, Bellani G, MacCallum N, Creteur J, Kluge S, Artigas-Raventos A, Maksimow M, Piippo I, Elima K, Jalkanen S, Jalkanen M, Bellingan G. Effect of Intravenous Interferon β-1a on Death and Days Free From Mechanical Ventilation Among Patients With Moderate to Severe Acute Respiratory Distress Syndrome: A Randomized Clinical Trial. JAMA 2020; 323:725-733. [PMID: 32065831 DOI: 10.1001/jama.2019.22525] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
IMPORTANCE Acute respiratory distress syndrome (ARDS) is associated with high mortality. Interferon (IFN) β-1a may prevent the underlying event of vascular leakage. OBJECTIVE To determine the efficacy and adverse events of IFN-β-1a in patients with moderate to severe ARDS. DESIGN, SETTING, AND PARTICIPANTS Multicenter, randomized, double-blind, parallel-group trial conducted at 74 intensive care units in 8 European countries (December 2015-December 2017) that included 301 adults with moderate to severe ARDS according to the Berlin definition. The radiological and partial pressure of oxygen, arterial (Pao2)/fraction of inspired oxygen (Fio2) criteria for ARDS had to be met within a 24-hour period, and the administration of the first dose of the study drug had to occur within 48 hours of the diagnosis of ARDS. The last patient visit was on March 6, 2018. INTERVENTIONS Patients were randomized to receive an intravenous injection of 10 μg of IFN-β-1a (144 patients) or placebo (152 patients) once daily for 6 days. MAIN OUTCOMES AND MEASURES The primary outcome was a score combining death and number of ventilator-free days at day 28 (score ranged from -1 for death to 27 if the patient was off ventilator on the first day). There were 16 secondary outcomes, including 28-day mortality, which were tested hierarchically to control type I error. RESULTS Among 301 patients who were randomized (mean age, 58 years; 103 women [34.2%]), 296 (98.3%) completed the trial and were included in the primary analysis. At 28 days, the median composite score of death and number of ventilator-free days at day 28 was 10 days (interquartile range, -1 to 20) in the IFN-β-1a group and 8.5 days (interquartile range, 0 to 20) in the placebo group (P = .82). There was no significant difference in 28-day mortality between the IFN-β-1a vs placebo groups (26.4% vs 23.0%; difference, 3.4% [95% CI, -8.1% to 14.8%]; P = .53). Seventy-four patients (25.0%) experienced adverse events considered to be related to treatment during the study (41 patients [28.5%] in the IFN-β-1a group and 33 [21.7%] in the placebo group). CONCLUSIONS AND RELEVANCE Among adults with moderate or severe ARDS, intravenous IFN-β-1a administered for 6 days, compared with placebo, resulted in no significant difference in a composite score that included death and number of ventilator-free days over 28 days. These results do not support the use of IFN-β-1a in the management of ARDS. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02622724.
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Affiliation(s)
- V Marco Ranieri
- Alma Mater Studiorum-Università di Bologna, Dipartimento di Scienze Mediche e Chirurgiche, Anesthesia and Intensive Care Medicine, Policlinico di Sant'Orsola, Bologna, Italy
| | - Ville Pettilä
- Division of Intensive Care, Department of Anesthesiology, Intensive Care, and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | | | | | - Peter Nightingale
- Manchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, United Kingdom
| | - David Brealey
- Critical Care, University College London Hospitals, NHS Foundation Trust and National Institute for Health Research Biomedical Research Centre at University College London Hospitals NHS Foundation Trust and University College London, London, United Kingdom
| | - Jordi Mancebo
- Department of Intensive Care, Hospital de la Santa Creu I Sant Pau, Barcelona, Spain
| | - Ricard Ferrer
- Department of Intensive Care/SODIR Research Group-VHIR Hospital Universitari Vall d'Hebron UCI, Barcelona, Spain
| | - Alain Mercat
- Médecine Intensive-Réanimation CHU d'Angers, Université d'Angers, Angers, France
| | - Nicolò Patroniti
- Dipartimento di scienze diagnostiche e integrate, Università degli studi di Genova, Genova, Italy
| | - Michael Quintel
- Anesthesiology and Operative Intensive Care Medicine, Universitätsmedizin Göttingen, Göttingen, Germany
| | - Jean-Louis Vincent
- Department of Intensive Care, Erasme University Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Marjatta Okkonen
- Division of Intensive Care, Department of Anesthesiology, Intensive Care, and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Ferhat Meziani
- Université de Strasbourg (UNISTRA), Faculté de Médecine, Hôpitaux universitaires de Strasbourg, Nouvel Hôpital Civil, Service de réanimation, Strasbourg, France
| | | | - Niall MacCallum
- Critical Care, University College London Hospitals, NHS Foundation Trust and National Institute for Health Research Biomedical Research Centre at University College London Hospitals NHS Foundation Trust and University College London, London, United Kingdom
| | - Jacques Creteur
- Department of Intensive Care, Erasme University Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Stefan Kluge
- Department of Intensive Care, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Antonio Artigas-Raventos
- Corporacion Sanitaria Universitaria Parc Tauli CIBER Enfermedades Respiratorias Autonomous University of Barcelona, Sabadell, Spain
| | | | | | - Kati Elima
- Medicity research Laboratory, University of Turku, Turku, Finland
| | - Sirpa Jalkanen
- Medicity research Laboratory, University of Turku, Turku, Finland
| | | | - Geoff Bellingan
- Critical Care, University College London Hospitals, NHS Foundation Trust and National Institute for Health Research Biomedical Research Centre at University College London Hospitals NHS Foundation Trust and University College London, London, United Kingdom
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Girbes ARJ, de Grooth HJ. Time to stop randomized and large pragmatic trials for intensive care medicine syndromes: the case of sepsis and acute respiratory distress syndrome. J Thorac Dis 2020; 12:S101-S109. [PMID: 32148932 DOI: 10.21037/jtd.2019.10.36] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
In this paper we discuss the limitations of large randomized controlled trials with mortality endpoints in patients with critical illness associated diagnoses such as sepsis. When patients with the same syndrome diagnosis do not share the pathways that lead to death (the attributable risk), any therapy can only lead to small effects in these populations. Using Monte Carlo simulations, we show how the syndrome-attributable risks of critical illness-associated diagnoses are likely overestimated using common statistical methods. This overestimation of syndrome-attributable risks leads to a corresponding overestimation of attainable treatment effects and an underestimation of required sample sizes. We demonstrate that larger and more 'pragmatic' randomized trials are not the solution because they decrease therapeutic and diagnostic precision, the therapeutic effect size and the probability of finding a beneficial effect. Finally, we argue that the most logical solution is a renewed focus on mechanistic research into the complexities of critical illness syndromes.
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Affiliation(s)
- Armand R J Girbes
- Department of Intensive Care Medicine, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands
| | - Harm-Jan de Grooth
- Department of Intensive Care Medicine, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands.,Department of Anesthesiology, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands
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Clear as Mud: Diagnostic Uncertainty in Acute Respiratory Distress Syndrome. Ann Am Thorac Soc 2019; 16:197-199. [PMID: 30707063 DOI: 10.1513/annalsats.201810-697ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Stefanidis K, Moser J, Vlahos I. Imaging of Diffuse Lung Disease in the Intensive Care Unit Patient. Radiol Clin North Am 2019; 58:119-131. [PMID: 31731896 DOI: 10.1016/j.rcl.2019.08.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
There is a wide variety of causes of diffuse lung disease in the intensive care unit patient, of which adult respiratory distress syndrome is the commonest clinical consideration. Plain radiography, computed tomography, and ultrasound can be used synergistically to evaluate patients with diffuse lung disease and respiratory impairment. Imaging is not limited to characterization of the cause of diffuse lung disease but also aids in monitoring its evolution and in ventilator setting management.
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Affiliation(s)
- Konstantinos Stefanidis
- Radiology Department, King's College Hospital, NHS Foundation Trust, Denmark Hill, London SE5 9RS, UK.
| | - Joanna Moser
- Radiology Department, St. George's University Hospitals, NHS Foundation Trust and School of Medicine, Blackshaw Road Tooting, London SW17 0QT, UK
| | - Ioannis Vlahos
- Radiology Department, St. George's University Hospitals, NHS Foundation Trust and School of Medicine, Blackshaw Road Tooting, London SW17 0QT, UK
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Chiumello D, Sferrazza Papa GF, Artigas A, Bouhemad B, Grgic A, Heunks L, Markstaller K, Pellegrino GM, Pisani L, Rigau D, Schultz MJ, Sotgiu G, Spieth P, Zompatori M, Navalesi P. ERS statement on chest imaging in acute respiratory failure. Eur Respir J 2019; 54:13993003.00435-2019. [PMID: 31248958 DOI: 10.1183/13993003.00435-2019] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 05/16/2019] [Indexed: 12/17/2022]
Abstract
Chest imaging in patients with acute respiratory failure plays an important role in diagnosing, monitoring and assessing the underlying disease. The available modalities range from plain chest X-ray to computed tomography, lung ultrasound, electrical impedance tomography and positron emission tomography. Surprisingly, there are presently no clear-cut recommendations for critical care physicians regarding indications for and limitations of these different techniques.The purpose of the present European Respiratory Society (ERS) statement is to provide physicians with a comprehensive clinical review of chest imaging techniques for the assessment of patients with acute respiratory failure, based on the scientific evidence as identified by systematic searches. For each of these imaging techniques, the panel evaluated the following items: possible indications, technical aspects, qualitative and quantitative analysis of lung morphology and the potential interplay with mechanical ventilation. A systematic search of the literature was performed from inception to September 2018. A first search provided 1833 references. After evaluating the full text and discussion among the committee, 135 references were used to prepare the current statement.These chest imaging techniques allow a better assessment and understanding of the pathogenesis and pathophysiology of patients with acute respiratory failure, but have different indications and can provide additional information to each other.
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Affiliation(s)
- Davide Chiumello
- SC Anestesia e Rianimazione, Ospedale San Paolo - Polo Universitario, ASST Santi Paolo e Carlo, Milan, Italy.,Dipartimento di Scienze della Salute, Centro Ricerca Coordinata di Insufficienza Respiratoria, Università degli Studi di Milano, Milan, Italy
| | | | - Antonio Artigas
- Corporacion Sanitaria, Universitaria Parc Tauli, CIBER de Enfermedades Respiratorias Autonomous University of Barcelona, Sabadell, Spain.,Intensive Care Dept, University Hospitals Sagrado Corazon - General de Cataluna, Quiron Salud, Barcelona-Sant Cugat del Valles, Spain
| | - Belaid Bouhemad
- Service d'Anesthésie - Réanimation, Université Bourgogne - Franche Comtè, lncumr 866L, Dijon, France
| | - Aleksandar Grgic
- Dept of Nuclear Medicine, Saarland University Medical Center, Homburg, Germany
| | - Leo Heunks
- Dept of Intensive Care Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Klaus Markstaller
- Dept of Anesthesia, General Intensive Care Medicine and Pain Therapy, Medical University of Vienna, Vienna, Austria
| | - Giulia M Pellegrino
- Dipartimento di Scienze della Salute, Centro Ricerca Coordinata di Insufficienza Respiratoria, Università degli Studi di Milano, Milan, Italy.,Casa di Cura del Policlinico, Dipartimento di Scienze Neuroriabilitative, Milan, Italy
| | - Lara Pisani
- Respiratory and Critical Care Unit, Alma Mater Studiorum, University of Bologna, Sant'Orsola Malpighi Hospital, Bologna, Italy
| | | | - Marcus J Schultz
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Giovanni Sotgiu
- Clinical Epidemiology and Medical Statistics Unit, Dept of Clinical and Experimental Medicine, University of Sassari, Sassari, Italy
| | - Peter Spieth
- Dept of Anesthesiology and Critical Care Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,Center for Clinical Research and Management Education, Division of Health Care Sciences, Dresden International University, Dresden, Germany
| | | | - Paolo Navalesi
- Anaesthesia and Intensive Care, Department of Medical and Surgical Sciences, University of Magna Graecia, Catanzaro, Italy
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Chest Radiography for Diagnosing Acute Respiratory Distress Syndrome-Fishing in the Dark? Crit Care Med 2019; 46:820-821. [PMID: 29652710 DOI: 10.1097/ccm.0000000000003041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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63
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Schwarz S, Muckenhuber M, Benazzo A, Beer L, Gittler F, Prosch H, Röhrich S, Milos R, Schweiger T, Jaksch P, Klepetko W, Hoetzenecker K. Interobserver variability impairs radiologic grading of primary graft dysfunction after lung transplantation. J Thorac Cardiovasc Surg 2019; 158:955-962.e1. [DOI: 10.1016/j.jtcvs.2019.02.134] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 02/11/2019] [Accepted: 02/14/2019] [Indexed: 11/28/2022]
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64
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Cereda M, Xin Y, Goffi A, Herrmann J, Kaczka DW, Kavanagh BP, Perchiazzi G, Yoshida T, Rizi RR. Imaging the Injured Lung: Mechanisms of Action and Clinical Use. Anesthesiology 2019; 131:716-749. [PMID: 30664057 PMCID: PMC6692186 DOI: 10.1097/aln.0000000000002583] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Acute respiratory distress syndrome (ARDS) consists of acute hypoxemic respiratory failure characterized by massive and heterogeneously distributed loss of lung aeration caused by diffuse inflammation and edema present in interstitial and alveolar spaces. It is defined by consensus criteria, which include diffuse infiltrates on chest imaging-either plain radiography or computed tomography. This review will summarize how imaging sciences can inform modern respiratory management of ARDS and continue to increase the understanding of the acutely injured lung. This review also describes newer imaging methodologies that are likely to inform future clinical decision-making and potentially improve outcome. For each imaging modality, this review systematically describes the underlying principles, technology involved, measurements obtained, insights gained by the technique, emerging approaches, limitations, and future developments. Finally, integrated approaches are considered whereby multimodal imaging may impact management of ARDS.
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Affiliation(s)
- Maurizio Cereda
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, USA
| | - Yi Xin
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Alberto Goffi
- Interdepartmental Division of Critical Care Medicine and Department of Medicine, University of Toronto, ON, Canada
| | - Jacob Herrmann
- Departments of Anesthesia and Biomedical Engineering, University of Iowa, IA
| | - David W. Kaczka
- Departments of Anesthesia, Radiology, and Biomedical Engineering, University of Iowa, IA
| | | | - Gaetano Perchiazzi
- Hedenstierna Laboratory and Uppsala University Hospital, Uppsala University, Sweden
| | - Takeshi Yoshida
- Hospital for Sick Children, University of Toronto, ON, Canada
| | - Rahim R. Rizi
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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Rogers AJ. Genome-Wide Association Study in Acute Respiratory Distress Syndrome. Finding the Needle in the Haystack to Advance Our Understanding of Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med 2019; 197:1373-1374. [PMID: 29438627 DOI: 10.1164/rccm.201801-0098ed] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Angela J Rogers
- 1 Department of Medicine Stanford University Stanford, California
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Reilly JP, Calfee CS, Christie JD. Acute Respiratory Distress Syndrome Phenotypes. Semin Respir Crit Care Med 2019; 40:19-30. [PMID: 31060085 DOI: 10.1055/s-0039-1684049] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The acute respiratory distress syndrome (ARDS) phenotype was first described over 50 years ago and since that time significant progress has been made in understanding the biologic processes underlying the syndrome. Despite this improved understanding, no pharmacologic therapies aimed at the underlying biology have been proven effective in ARDS. Increasingly, ARDS has been recognized as a heterogeneous syndrome characterized by subphenotypes with distinct clinical, radiographic, and biologic differences, distinct outcomes, and potentially distinct responses to therapy. The Berlin Definition of ARDS specifies three severity classifications: mild, moderate, and severe based on the PaO2 to FiO2 ratio. Two randomized controlled trials have demonstrated a potential benefit to prone positioning and neuromuscular blockade in moderate to severe phenotypes of ARDS only. Precipitating risk factor, direct versus indirect lung injury, and timing of ARDS onset can determine other clinical phenotypes of ARDS after admission. Radiographic phenotypes of ARDS have been described based on a diffuse versus focal pattern of infiltrates on chest imaging. Finally and most promisingly, biologic subphenotypes or endotypes have increasingly been identified using plasma biomarkers, genetics, and unbiased approaches such as latent class analysis. The potential of precision medicine lies in identifying novel therapeutics aimed at ARDS biology and the subpopulation within ARDS most likely to respond. In this review, we discuss the challenges and approaches to subphenotype ARDS into clinical, radiologic, severity, and biologic phenotypes with an eye toward the future of precision medicine in critical care.
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Affiliation(s)
- John P Reilly
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Carolyn S Calfee
- Department of Medicine and Anesthesia, University of California, San Francisco, San Francisco, California
| | - Jason D Christie
- Division of Pulmonary, Allergy, and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Ahmed MEH, Hamed G, Fawzy S, Taema KM. Lung injury prediction scores: Clinical validation and C-reactive protein involvement in high risk patients. Med Intensiva 2019; 44:267-274. [PMID: 30987877 DOI: 10.1016/j.medin.2019.02.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 02/13/2019] [Accepted: 02/15/2019] [Indexed: 01/29/2023]
Abstract
OBJECTIVE A study was made to validate two previously derived lung injury prediction scores (LIPS) for the prediction of acute respiratory distress syndrome (ARDS) in high risk intensive care patients, with the incorporation of C-reactive protein (CRP) for improving score accuracy. DESIGN A prospective, observational cohort study was carried out. PATIENTS A total of 200 patients with APACHE II score ≥15 and at least one ARDS risk factor upon ICU admission were included. INTERVENTIONS Calculation of LIPS using formulas developed by Cartin-Ceba et al. (2009) and Trillo-Alvarez et al. (2011) (LIPS-2009 and LIPS-2011). C-reactive protein was measured upon admission (CRP-0) and after 48h (CRP-48). MAIN VARIABLES OF INTEREST Independent variables: LIPS-2009, LIPS-2011 and CRP values. Dependent variable: development of ARDS. RESULTS Eighty-eight patients (44%) developed ARDS after a median (Q1-Q3) of 2.5 (1.3-6.8) days. The LIPS-2009 and LIPS-2011 scores were 4 (3-6) and 5 (3.6-6.5) in ARDS patients compared to 2 (1-4) and 3.5 (1.5-4.5) in non-ARDS patients (p<0.001). CRP-48 was 96 (67.5-150.3)mg/L and 48 (24-96)mg/L in the two groups, respectively (p<0.001). ΔCRP (i.e., CRP-48 minus CRP-0) was significantly higher in the ARDS patients (p<0.001). The AUC was 0.740 and 0.738 for LIPS-2011 and LIPS-2009, respectively - the difference being nonsignificant (p=0.9, 0.9 and 0.8 for pairwise comparison of the different ROC curves). Integrating ΔCRP with LIPS-2011 using binary logistic regression analysis identified a new score (LIPS-N) with AUC 0.803, which was significantly higher than the AUC of LIPS-2011 (p=0.01). CONCLUSIONS Both LIPS scores are equally effective in predicting ARDS in high risk ICU patients. Integrating the change in CRP within the score might improve its accuracy.
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Affiliation(s)
- M E-H Ahmed
- Critical Care Medicine Department, Al-Haram Hospital, Cairo, Egypt
| | - G Hamed
- Critical Care Medicine Department, Cairo University, Cairo, Egypt
| | - S Fawzy
- Critical Care Medicine Department, Cairo University, Cairo, Egypt
| | - K M Taema
- Critical Care Medicine Department, Cairo University, Cairo, Egypt.
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Sjoding MW, Hofer TP, Co I, McSparron JI, Iwashyna TJ. Differences between Patients in Whom Physicians Agree and Disagree about the Diagnosis of Acute Respiratory Distress Syndrome. Ann Am Thorac Soc 2019; 16:258-264. [PMID: 30321489 PMCID: PMC6376946 DOI: 10.1513/annalsats.201806-434oc] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 10/12/2018] [Indexed: 12/21/2022] Open
Abstract
RATIONALE Because the Berlin definition of acute respiratory distress syndrome (ARDS) has only moderate reliability, physicians disagree about the diagnosis of ARDS in some patients. Understanding the clinical differences between patients with agreement and disagreement about the diagnosis of ARDS may provide insight into the epidemiology and pathophysiology of this syndrome, and inform strategies to improve the reliability of ARDS diagnosis. OBJECTIVES To characterize patients with diagnostic disagreement about ARDS among critical-care-trained physicians and compare them with patients with a consensus that ARDS developed. METHODS Patients with acute hypoxemic respiratory failure (arterial oxygen tension/pressure [PaO2]/fraction of inspired oxygen [FiO2] < 300 during invasive mechanical ventilation) were independently reviewed for ARDS by multiple critical-care physicians and categorized as consensus-ARDS, disagreement about the diagnosis, or no ARDS. RESULTS Among 738 patients reviewed, 110 (15%) had consensus-ARDS, 100 (14%) had disagreement, and 528 (72%) did not have ARDS. ARDS diagnosis rates ranged from 9% to 47% across clinicians. Patients with disagreement had baseline comorbidity rates similar to those of patients with consensus-ARDS, but lower rates of ARDS risk factors and less severe measures of lung injury. Mean days of severe hypoxemia (PaO2/FiO2 < 100) were 3.2 (95% confidence interval [CI], 2.6-3.9), 2.0 (95% CI, 1.5-2.4), and 0.8 (95% CI, 0.7-0.9) among patients with consensus-ARDS, disagreement, and no ARDS, respectively. Hospital mortality was 37% (95% CI, 28-46%), 35% (95% CI, 26-44%), and 19% (95% CI, 15-22%) across groups. Simple combinations of specific ARDS risk factors and lowest PaO2/FiO2 value could effectively discriminate patients (area under the receiver operating characteristic curve = 0.90; 95% CI, 0.88-0.92). For example, 63% of patients with pneumonia, shock, and PaO2/FiO2 < 110 had consensus-ARDS, whereas 100% of patients without pneumonia or shock and PaO2/FiO2 > 180 did not have ARDS. CONCLUSIONS Disagreement about the diagnosis of ARDS is common and can be partly explained by the difficulty of dichotomizing patients along a continuous spectrum of ARDS manifestations. Considering both the presence of key ARDS risk factors and hypoxemia severity can help guide clinicians in identifying patients with diagnosis of ARDS agreed upon by a consensus of physicians.
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Affiliation(s)
- Michael W. Sjoding
- Department of Internal Medicine
- Center for Computational Medicine and Bioinformatics, and
| | - Timothy P. Hofer
- Department of Internal Medicine
- VA Center for Clinical Management Research, Ann Arbor, Michigan
| | - Ivan Co
- Department of Internal Medicine
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan
| | | | - Theodore J. Iwashyna
- Department of Internal Medicine
- VA Center for Clinical Management Research, Ann Arbor, Michigan
- Institute for Social Research, Ann Arbor, Michigan; and
- Section Editor, AnnalsATS
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Abstract
The acute respiratory distress syndrome (ARDS) is a common cause of respiratory failure in critically ill patients and is defined by the acute onset of noncardiogenic pulmonary oedema, hypoxaemia and the need for mechanical ventilation. ARDS occurs most often in the setting of pneumonia, sepsis, aspiration of gastric contents or severe trauma and is present in ~10% of all patients in intensive care units worldwide. Despite some improvements, mortality remains high at 30-40% in most studies. Pathological specimens from patients with ARDS frequently reveal diffuse alveolar damage, and laboratory studies have demonstrated both alveolar epithelial and lung endothelial injury, resulting in accumulation of protein-rich inflammatory oedematous fluid in the alveolar space. Diagnosis is based on consensus syndromic criteria, with modifications for under-resourced settings and in paediatric patients. Treatment focuses on lung-protective ventilation; no specific pharmacotherapies have been identified. Long-term outcomes of patients with ARDS are increasingly recognized as important research targets, as many patients survive ARDS only to have ongoing functional and/or psychological sequelae. Future directions include efforts to facilitate earlier recognition of ARDS, identifying responsive subsets of patients and ongoing efforts to understand fundamental mechanisms of lung injury to design specific treatments.
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Khemani RG, Smith L, Lopez-Fernandez YM, Kwok J, Morzov R, Klein MJ, Yehya N, Willson D, Kneyber MCJ, Lillie J, Fernandez A, Newth CJL, Jouvet P, Thomas NJ. Paediatric acute respiratory distress syndrome incidence and epidemiology (PARDIE): an international, observational study. THE LANCET RESPIRATORY MEDICINE 2018; 7:115-128. [PMID: 30361119 DOI: 10.1016/s2213-2600(18)30344-8] [Citation(s) in RCA: 247] [Impact Index Per Article: 41.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 08/01/2018] [Accepted: 08/13/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND Paediatric acute respiratory distress syndrome (PARDS) is associated with high mortality in children, but until recently no paediatric-specific diagnostic criteria existed. The Pediatric Acute Lung Injury Consensus Conference (PALICC) definition was developed to overcome limitations of the Berlin definition, which was designed and validated for adults. We aimed to determine the incidence and outcomes of children who meet the PALICC definition of PARDS. METHODS In this international, prospective, cross-sectional, observational study, 145 paediatric intensive care units (PICUs) from 27 countries were recruited, and over a continuous 5 day period across 10 weeks all patients were screened for enrolment. Patients were included if they had a new diagnosis of PARDS that met PALICC criteria during the study week. Exclusion criteria included meeting PARDS criteria more than 24 h before screening, cyanotic heart disease, active perinatal lung disease, and preparation or recovery from a cardiac intervention. Data were collected on the PICU characteristics, patient demographics, and elements of PARDS (ie, PARDS risk factors, hypoxaemia severity metrics, type of ventilation), comorbidities, chest imaging, arterial blood gas measurements, and pulse oximetry. The primary outcome was PICU mortality. Secondary outcomes included 90 day mortality, duration of invasive mechanical and non-invasive ventilation, and cause of death. FINDINGS Between May 9, 2016, and June 16, 2017, during the 10 study weeks, 23 280 patients were admitted to participating PICUs, of whom 744 (3·2%) were identified as having PARDS. 95% (708 of 744) of patients had complete data for analysis, with 17% (121 of 708; 95% CI 14-20) mortality, whereas only 32% (230 of 708) of patients met Berlin criteria with 27% (61 of 230) mortality. Based on hypoxaemia severity at PARDS diagnosis, mortality was similar among those who were non-invasively ventilated and with mild or moderate PARDS (10-15%), but higher for those with severe PARDS (33% [54 of 165; 95% CI 26-41]). 50% (80 of 160) of non-invasively ventilated patients with PARDS were subsequently intubated, with 25% (20 of 80; 95% CI 16-36) mortality. By use of PALICC PARDS definition, severity of PARDS at 6 h after initial diagnosis (area under the curve [AUC] 0·69, 95% CI 0·62-0·76) discriminates PICU mortality better than severity at PARDS diagnosis (AUC 0·64, 0·58-0·71), and outperforms Berlin severity groups at 6 h (0·64, 0·58-0·70; p=0·01). INTERPRETATION The PALICC definition identified more children as having PARDS than the Berlin definition, and PALICC PARDS severity groupings improved the stratification of mortality risk, particularly when applied 6 h after PARDS diagnosis. The PALICC PARDS framework should be considered for use in future epidemiological and therapeutic research among children with PARDS. FUNDING University of Southern California Clinical Translational Science Institute, Sainte Justine Children's Hospital, University of Montreal, Canada, Réseau en Santé Respiratoire du Fonds de Recherche Quebec-Santé, and Children's Hospital Los Angeles, Department of Anesthesiology and Critical Care Medicine.
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Affiliation(s)
- Robinder G Khemani
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA; Department of Pediatrics, University of Southern California Keck School of Medicine, Los Angeles, CA, USA.
| | - Lincoln Smith
- University of Washington, Seattle Children's Hospital, Seattle, WA, USA
| | | | - Jeni Kwok
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Rica Morzov
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Margaret J Klein
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Nadir Yehya
- Children's Hospital Philadelphia and University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Douglas Willson
- Children's Hospital Richmond, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Martin C J Kneyber
- Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Jon Lillie
- Evelina London Children's Hospital, London, UK
| | - Analia Fernandez
- Hospital General de Agudos "Dr C. Durand", Buenos Aires, Argentina
| | - Christopher J L Newth
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA; Department of Pediatrics, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
| | | | - Neal J Thomas
- Penn State Hershey Children's Hospital, Penn State University School of Medicine, Hershey, PA, USA
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See KC, Ong V, Tan YL, Sahagun J, Taculod J. Chest radiography versus lung ultrasound for identification of acute respiratory distress syndrome: a retrospective observational study. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2018; 22:203. [PMID: 30119687 PMCID: PMC6098581 DOI: 10.1186/s13054-018-2105-y] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 06/22/2018] [Indexed: 11/30/2022]
Abstract
Background Lung ultrasound may be a reasonable alternative to chest radiography for the identification of acute respiratory distress syndrome (ARDS), but the diagnostic performance of lung ultrasound for ARDS is uncertain. We therefore analyzed the clinical outcomes of ARDS diagnosed according to the Berlin Definition, using either chest radiography (Berlin-CXR) or lung ultrasound (Berlin-LUS) as an alternative imaging method. Methods This was a retrospective observational study in a 20-bed medical intensive care unit (ICU). Patients who required noninvasive ventilation or invasive ventilation for hypoxemic respiratory failure on ICU admission from August 2014 to March 2017 were included. Both chest radiography and lung ultrasound were performed routinely upon ICU admission. Comparisons were made using either the Berlin-CXR or Berlin-LUS definitions to diagnose ARDS with respect to the patient characteristics and clinical outcomes for each definition. ICU and hospital mortality were the main outcome measures for both definitions. Results The first admissions of 456 distinct patients were analyzed. Compared with the 216 patients who met the Berlin-CXR definition (ICU mortality 19.4%, hospital mortality 36.1%), 229 patients who met the Berlin-LUS definition (ICU mortality 22.7%, hospital mortality 34.5%) and 79 patients who met the Berlin-LUS but not the Berlin-CXR definition (ICU mortality 21.5%, hospital mortality 29.1%) had similar outcomes. In contrast, the 295 patients who met either definition had higher mortality than the 161 patients who did not meet either definition (ICU mortality 20.0% versus 12.4%, P = 0.041; hospital mortality 34.2% versus 24.2%, P = 0.027). Compared with Berlin-CXR, Berlin-LUS had a positive predictive value of 0.66 (95% confidence interval 0.59–0.72) and a negative predictive value of 0.71 (0.65–0.77). Among the 216 Berlin-CXR ARDS patients, 150 patients (69.4%) also fulfilled Berlin-LUS definition. Conclusions For the identification of ARDS using the Berlin definition, both chest radiography and lung ultrasound were equally related to mortality. The Berlin definition using lung ultrasound helped identify patients at higher risk of death, even if these patients did not fulfill the conventional Berlin definition using chest radiography. However, the moderate overlap of patients when chest imaging modalities differed suggests that chest radiography and lung ultrasound should be complementary rather than used interchangeably. Electronic supplementary material The online version of this article (10.1186/s13054-018-2105-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kay Choong See
- Division of Respiratory & Critical Care Medicine, University Medicine Cluster, National University Health System, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore, 119228, Singapore. .,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Venetia Ong
- Department of Medical Affairs, National University Hospital, Singapore, Singapore
| | - Yi Lin Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Juliet Sahagun
- Division of Critical Care-Respiratory Therapy, National University Hospital, Singapore, Singapore
| | - Juvel Taculod
- Division of Critical Care-Respiratory Therapy, National University Hospital, Singapore, Singapore
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Walton TR, Layton DM. Intra- and inter-examiner agreement when assessing radiographic implant bone levels: Differences related to brightness, accuracy, participant demographics and implant characteristics. Clin Oral Implants Res 2018; 29:756-771. [DOI: 10.1111/clr.13290] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2018] [Revised: 04/02/2018] [Accepted: 05/14/2018] [Indexed: 11/30/2022]
Affiliation(s)
- Terry R. Walton
- University of Sydney; Sydney New South Wales Australia
- Specialist Prosthodontist; Private Practice; Sydney New South Wales Australia
| | - Danielle M. Layton
- University of Queensland; Brisbane Queensland Australia
- Specialist Prosthodontist; Private Practice; Brisbane Queensland Australia
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Daher P, Teixeira PG, Coopwood TB, Brown LH, Ali S, Aydelotte JD, Ford BJ, Hensely AS, Brown CV. Mild to Moderate to Severe: What Drives the Severity of ARDS in Trauma Patients? Am Surg 2018. [DOI: 10.1177/000313481808400623] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Acute respiratory distress syndrome (ARDS) is a complex inflammatory process with multifactorial etiologies. Risk factors for its development have been extensively studied, but factors associated with worsening severity of disease, as defined by the Berlin criteria, are poorly understood. A retrospective chart and trauma registry review identified trauma patients in our surgical intensive care unit who developed ARDS, defined according to the Berlin definition, between 2010 and 2015. The primary outcome was development of mild, moderate, or severe ARDS. A logistic regression model identified risk factors associated with developing ARDS and with worsening severity of disease. Of 2704 total patients, 432 (16%) developed ARDS. Of those, 100 (23%) were categorized as mild, 176 (41%) as moderate, and 156 (36%) as severe. Two thousand two hundred and seventy-two patients who did not develop ARDS served as controls. Male gender, blunt trauma, severe head and chest injuries, and red blood cell as well as total blood product transfusions are independent risk factors associated with ARDS. Worsening severity of disease is associated with severe chest trauma and volume of plasma transfusion. Novel findings in our study include the association between plasma transfusions and specifically severe chest trauma with worsening severity of ARDS in trauma patients.
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Affiliation(s)
- Pamela Daher
- Dell Medical School, University of Texas at Austin, Austin, Texas and
| | - Pedro G. Teixeira
- Dell Medical School, University of Texas at Austin, Austin, Texas and
| | | | - Lawrence H. Brown
- Dell Medical School, University of Texas at Austin, Austin, Texas and
| | - Sadia Ali
- Dell Medical School, University of Texas at Austin, Austin, Texas and
| | | | - Brent J. Ford
- University of Texas Medical Branch Galveston, Galveston, Texas
| | - Adam S. Hensely
- University of Texas Medical Branch Galveston, Galveston, Texas
| | - Carlos V. Brown
- Dell Medical School, University of Texas at Austin, Austin, Texas and
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Continued under-recognition of acute respiratory distress syndrome after the Berlin definition: what is the solution? Curr Opin Crit Care 2018; 23:10-17. [PMID: 27922845 DOI: 10.1097/mcc.0000000000000381] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Timely recognition of acute respiratory distress syndrome (ARDS) may allow for more prompt management and less exacerbation of lung injury. However, the absence of a diagnostic test for ARDS means that the diagnosis of ARDS requires clinician recognition in what is usually a complicated and evolving illness. We review data concerning the extent of recognition of ARDS in the era of the Berlin definition of ARDS. RECENT FINDINGS ARDS continues to be under-recognized - even in the era of the more recent 'Berlin' definition, and significant delay in its recognition is common. Factors contributing to under-recognition may include the complexity of ARDS biology, low specificity of the consensus (diagnostic) criteria, and concerns about reliable interpretation of the chest radiograph. Understandably, 'external' factors are also at play: ICU occupancy and higher patient to clinician ratio impair recognition of ARDS. Timely recognition of ARDS appears important, as it is associated with the use of higher PEEP, prone positioning and neuromuscular blockade which can lower mortality. Computer-aided decision tools seem diagnostically useful, and together with the integration of reliable biomarkers, may further enhance and speed recognition of this syndrome. SUMMARY Significant numbers of patients with ARDS are still unrecognized by clinicians in the era of the Berlin definition of ARDS, with potentially important consequences for patient management and outcome.
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Reamaroon N, Sjoding MW, Lin K, Iwashyna TJ, Najarian K. Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome. IEEE J Biomed Health Inform 2018; 23:407-415. [PMID: 29994592 DOI: 10.1109/jbhi.2018.2810820] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
When training a machine learning algorithm for a supervised-learning task in some clinical applications, uncertainty in the correct labels of some patients may adversely affect the performance of the algorithm. For example, even clinical experts may have less confidence when assigning a medical diagnosis to some patients because of ambiguity in the patient's case or imperfect reliability of the diagnostic criteria. As a result, some cases used in algorithm training may be mislabeled, adversely affecting the algorithm's performance. However, experts may also be able to quantify their diagnostic uncertainty in these cases. We present a robust method implemented with support vector machines (SVM) to account for such clinical diagnostic uncertainty when training an algorithm to detect patients who develop the acute respiratory distress syndrome (ARDS). ARDS is a syndrome of the critically ill that is diagnosed using clinical criteria known to be imperfect. We represent uncertainty in the diagnosis of ARDS as a graded weight of confidence associated with each training label. We also performed a novel time-series sampling method to address the problem of intercorrelation among the longitudinal clinical data from each patient used in model training to limit overfitting. Preliminary results show that we can achieve meaningful improvement in the performance of algorithm to detect patients with ARDS on a hold-out sample, when we compare our method that accounts for the uncertainty of training labels with a conventional SVM algorithm.
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X-Ray Dark-field Imaging to Depict Acute Lung Inflammation in Mice. Sci Rep 2018; 8:2096. [PMID: 29391514 PMCID: PMC5794739 DOI: 10.1038/s41598-018-20193-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 01/15/2018] [Indexed: 01/22/2023] Open
Abstract
The aim of this study was to evaluate the feasibility of early stage imaging of acute lung inflammation in mice using grating-based X-ray dark-field imaging in vivo. Acute lung inflammation was induced in mice by orotracheal instillation of porcine pancreatic elastase. Control mice received orotracheal instillation of PBS. Mice were imaged immediately before and 1 day after the application of elastase or PBS to assess acute changes in pulmonary structure due to lung inflammation. Subsequently, 6 mice from each group were sacrificed and their lungs were lavaged and explanted for histological analysis. A further 7, 14 and 21 days later the remaining mice were imaged again. All images were acquired with a prototype grating-based small-animal scanner to generate dark-field and transmission radiographs. Lavage confirmed that mice in the experimental group had developed acute lung inflammation one day after administration of elastase. Acute lung inflammation was visible as a striking decrease in signal intensity of the pulmonary parenchyma on dark-field images at day 1. Quantitative analysis confirmed that dark-field signal intensity at day 1 was significantly lower than signal intensities measured at the remaining timepoints, confirming that acute lung inflammation can be depicted in vivo with dark-field radiography.
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Sjoding MW, Hofer TP, Co I, Courey A, Cooke CR, Iwashyna TJ. Interobserver Reliability of the Berlin ARDS Definition and Strategies to Improve the Reliability of ARDS Diagnosis. Chest 2017; 153:361-367. [PMID: 29248620 DOI: 10.1016/j.chest.2017.11.037] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 09/27/2017] [Accepted: 11/06/2017] [Indexed: 10/18/2022] Open
Abstract
BACKGROUND Failure to reliably diagnose ARDS may be a major driver of negative clinical trials and underrecognition and treatment in clinical practice. We sought to examine the interobserver reliability of the Berlin ARDS definition and examine strategies for improving the reliability of ARDS diagnosis. METHODS Two hundred five patients with hypoxic respiratory failure from four ICUs were reviewed independently by three clinicians, who evaluated whether patients had ARDS, the diagnostic confidence of the reviewers, whether patients met individual ARDS criteria, and the time when criteria were met. RESULTS Interobserver reliability of an ARDS diagnosis was "moderate" (kappa = 0.50; 95% CI, 0.40-0.59). Sixty-seven percent of diagnostic disagreements between clinicians reviewing the same patient was explained by differences in how chest imaging studies were interpreted, with other ARDS criteria contributing less (identification of ARDS risk factor, 15%; cardiac edema/volume overload exclusion, 7%). Combining the independent reviews of three clinicians can increase reliability to "substantial" (kappa = 0.75; 95% CI, 0.68-0.80). When a clinician diagnosed ARDS with "high confidence," all other clinicians agreed with the diagnosis in 72% of reviews. There was close agreement between clinicians about the time when a patient met all ARDS criteria if ARDS developed within the first 48 hours of hospitalization (median difference, 5 hours). CONCLUSIONS The reliability of the Berlin ARDS definition is moderate, driven primarily by differences in chest imaging interpretation. Combining independent reviews by multiple clinicians or improving methods to identify bilateral infiltrates on chest imaging are important strategies for improving the reliability of ARDS diagnosis.
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Affiliation(s)
- Michael W Sjoding
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI.
| | - Timothy P Hofer
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; VA Center for Clinical Management Research, Ann Arbor, MI
| | - Ivan Co
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI; Department of Emergency Medicine, University of Michigan, Ann Arbor, MI
| | - Anthony Courey
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Colin R Cooke
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
| | - Theodore J Iwashyna
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI; VA Center for Clinical Management Research, Ann Arbor, MI; Institute for Social Research, Ann Arbor, MI
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80
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Shankar-Hari M, McAuley DF. Acute Respiratory Distress Syndrome Phenotypes and Identifying Treatable Traits. The Dawn of Personalized Medicine for ARDS. Am J Respir Crit Care Med 2017; 195:280-281. [PMID: 28145757 DOI: 10.1164/rccm.201608-1729ed] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Manu Shankar-Hari
- 1 Department of Critical Care Medicine Guy's and St Thomas' NHS Foundation Trust London, United Kingdom.,2 Division of Asthma, Allergy and Lung Biology King's College London London, United Kingdom
| | - Daniel F McAuley
- 3 Wellcome-Wolfson Institute for Experimental Medicine Queen's University of Belfast Belfast, Northern Ireland and.,4 Regional Intensive Care Unit Royal Victoria Hospital Belfast, Northern Ireland
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81
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Reilly JP, Christie JD, Meyer NJ. Fifty Years of Research in ARDS. Genomic Contributions and Opportunities. Am J Respir Crit Care Med 2017; 196:1113-1121. [PMID: 28481621 PMCID: PMC5694838 DOI: 10.1164/rccm.201702-0405cp] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 05/05/2017] [Indexed: 02/06/2023] Open
Abstract
Clinical factors alone poorly explain acute respiratory distress syndrome (ARDS) risk and ARDS outcome. In the search for individual factors that may influence ARDS risk, the past 20 years have witnessed the identification of numerous genes and genetic variants that are associated with ARDS. The field of ARDS genomics has cycled from candidate gene association studies to bias-free approaches that identify new candidates, and increasing effort is made to understand the functional consequences that may underlie significant associations. More recently, methodologies of causal inference are being applied to maximize the information gained from genetic associations. Although challenges of sample size, both recognized and unrecognized phenotypic heterogeneity, and the paucity of early ARDS lung tissue limit some applications of the rapidly evolving field of genomic investigation, ongoing genetic research offers unique contributions to elucidating ARDS pathogenesis and the paradigm of precision ARDS medicine.
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Affiliation(s)
- John P. Reilly
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pennsylvania Perelman School of Medicine
- Center for Translational Lung Biology, and
| | - Jason D. Christie
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pennsylvania Perelman School of Medicine
- Center for Translational Lung Biology, and
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Nuala J. Meyer
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pennsylvania Perelman School of Medicine
- Center for Translational Lung Biology, and
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82
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Thille AW, Peñuelas O, Lorente JA, Fernández-Segoviano P, Rodriguez JM, Aramburu JA, Panizo J, Esteban A, Frutos-Vivar F. Predictors of diffuse alveolar damage in patients with acute respiratory distress syndrome: a retrospective analysis of clinical autopsies. Crit Care 2017; 21:254. [PMID: 29052522 PMCID: PMC5649062 DOI: 10.1186/s13054-017-1852-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 09/28/2017] [Indexed: 11/10/2022] Open
Abstract
Background Although diffuse alveolar damage (DAD) is considered the typical histological pattern of acute respiratory distress syndrome (ARDS), only half of patients exhibit this morphological hallmark. Patients with DAD may have higher mortality than those without DAD. Therefore, we aimed to identify the factors associated with DAD in patients with ARDS. Methods We analyzed autopsy samples of 356 patients who had ARDS at the time of death. DAD was assessed by two pathologists, and ARDS criteria were evaluated by two intensivists. Criteria for severe ARDS included the degree of hypoxemia and the ancillary variables of the current Berlin definition assessed within 48 h before death: radiographic severity, high positive end-expiratory pressure (PEEP) level, and physiological variables (i.e., altered respiratory system compliance and large anatomic dead space). Results After multivariable analysis, high PEEP levels, physiological variables, and opacities involving only three quadrants on chest radiographs were not associated with DAD. The four markers independently associated with DAD were (1) duration of evolution (OR 3.29 [1.95–5.55] for patients with ARDS ≥ 3 days, p < 0.001), (2) degree of hypoxemia (OR 3.92 [1.48–10.3] for moderate ARDS and 6.18 [2.34–16.3] for severe ARDS, p < 0.01 for both), (3) increased dynamic driving pressure (OR 1.06 [1.04–1.09], p = 0.007), and (4) radiographic severity (OR 2.91 [1.47–5.75] for patients with diffuse opacities involving the four quadrants, p = 0.002). DAD was found in two-thirds of patients with a ratio of partial pressure of arterial oxygen to fraction of inspired oxygen ≤ 100 mmHg and opacities involving the four quadrants. Conclusions In addition to severe hypoxemia, diffuse opacities involving the four quadrants were a strong marker of DAD.
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Affiliation(s)
- Arnaud W Thille
- CHU de Poitiers, Réanimation Médicale, Poitiers, France. .,INSERM CIC 1402 ALIVE Group, Université de Poitiers, 2 rue la Milétrie, 86021, Poitiers Cedex, France.
| | - Oscar Peñuelas
- Departamento de Cuidados Intensivos, Hospital Universitario de Getafe, Madrid, Spain.,CIBER de Enfermedades Respiratorias, Universidad Europea de Madrid, Madrid, Spain
| | - José A Lorente
- Departamento de Cuidados Intensivos, Hospital Universitario de Getafe, Madrid, Spain.,CIBER de Enfermedades Respiratorias, Universidad Europea de Madrid, Madrid, Spain
| | - Pilar Fernández-Segoviano
- Departamento de Anatomía Patológica, Hospital Universitario de Getafe, CIBER de Enfermedades Respiratorias, Madrid, Spain
| | - José-Maria Rodriguez
- Departamento de Anatomía Patológica, Hospital Universitario de Getafe, CIBER de Enfermedades Respiratorias, Madrid, Spain
| | - José-Antonio Aramburu
- Departamento de Anatomía Patológica, Hospital Universitario de Getafe, CIBER de Enfermedades Respiratorias, Madrid, Spain
| | - Julian Panizo
- Departamento de Radiodiagnóstico, Hospital Universitario de Getafe, Madrid, Spain
| | - Andres Esteban
- Departamento de Cuidados Intensivos, Hospital Universitario de Getafe, Madrid, Spain.,CIBER de Enfermedades Respiratorias, Universidad Europea de Madrid, Madrid, Spain
| | - Fernando Frutos-Vivar
- Departamento de Cuidados Intensivos, Hospital Universitario de Getafe, Madrid, Spain.,CIBER de Enfermedades Respiratorias, Universidad Europea de Madrid, Madrid, Spain
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83
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Spece LJ, Mitchell KH, Caldwell ES, Gundel SJ, Jolley SE, Hough CL. Low tidal volume ventilation use remains low in patients with acute respiratory distress syndrome at a single center. J Crit Care 2017; 44:72-76. [PMID: 29073535 DOI: 10.1016/j.jcrc.2017.10.021] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Revised: 09/19/2017] [Accepted: 10/17/2017] [Indexed: 12/18/2022]
Abstract
PURPOSE Low tidal volume ventilation (LTVV) reduces mortality in acute respiratory distress syndrome (ARDS) patients. Understanding local barriers to LTVV use at a former ARDS Network hospital may provide new insight to improve LTVV implementation. METHODS A cohort of 214 randomly selected adults met the Berlin definition of ARDS at Harborview Medical Center between 2008 and 2012. The primary outcome was the receipt of LTVV (tidal volume of ≤6.5mL/kg predicted body weight) within 48h of ARDS onset. We constructed a multivariable logistic regression model to identify factors associated with the outcome. RESULTS Only 27% of patients received tidal volumes of ≤6.5mL/kg PBW within 48h of ARDS onset. Increasing plateau pressure (OR 1.11; 95% CI 1.03 to 1.19; p-value<0.01) was positively associated with LTVV use while increasing PaO2:FIO2 ratio was negatively associated (OR 0.75; 95% CI 0.57 to 0.98; p-value 0.03). Physicians documented an ARDS diagnosis in only 21% of the cohort. Neither patient height nor gender was associated with LTVV use. CONCLUSIONS Most ARDS patients did not receive LTVV despite implementation of a protocol. ARDS was also recognized in a minority of patients, suggesting an opportunity for improvement of care.
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Affiliation(s)
- Laura J Spece
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, United States.
| | - Kristina H Mitchell
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, United States
| | - Ellen S Caldwell
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, United States
| | - Stephanie J Gundel
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, United States
| | - Sarah E Jolley
- Section of Pulmonary/Critical Care and Allergy/Immunology, Louisiana State University, New Orleans, LA, United States
| | - Catherine L Hough
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, United States
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84
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Schmidt MFS, Amaral ACKB, Fan E, Rubenfeld GD. Driving Pressure and Hospital Mortality in Patients Without ARDS: A Cohort Study. Chest 2017; 153:46-54. [PMID: 29037528 DOI: 10.1016/j.chest.2017.10.004] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 09/06/2017] [Accepted: 10/02/2017] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Driving pressure (ΔP) is associated with mortality in patients with ARDS and with pulmonary complications in patients undergoing general anesthesia. Whether ΔP is associated with outcomes of patients without ARDS who undergo ventilation in the ICU is unknown. Our objective was to determine the independent association between ΔP and outcomes in mechanically ventilated patients without ARDS on day 1 of mechanical ventilation. METHODS This was a retrospective analysis of a cohort of 622 mechanically ventilated adult patients without ARDS on day 1 of mechanical ventilation from five ICUs in a tertiary center in the United States. The primary outcome was hospital mortality. The presence of ARDS was determined using the minimum daily Pao2 to Fio2 (PF) ratio and an automated text search of chest radiography reports. The data set was validated by first testing the model in 543 patients with ARDS. RESULTS In patients without ARDS on day 1 of mechanical ventilation, ΔP was not independently associated with hospital mortality (OR, 1.01; 95% CI, 0.97-1.05). The results of the primary analysis were confirmed in a series of preplanned sensitivity analyses. CONCLUSIONS In this cohort of patients without ARDS on day 1 of mechanical ventilation and within the limits of ventilatory settings normally used by clinicians, ΔP was not associated with hospital mortality. This study also confirms the association between ΔP and mortality in patients with ARDS not enrolled in a trial and in hypoxemic patients without ARDS.
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Affiliation(s)
- Marcello F S Schmidt
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada.
| | - Andre C K B Amaral
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Sunnybrook Research Institute, Toronto, ON, Canada
| | - Eddy Fan
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; Toronto General Hospital, Toronto, ON, Canada; Toronto General Research Institute, Toronto, ON, Canada
| | - Gordon D Rubenfeld
- Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Sunnybrook Research Institute, Toronto, ON, Canada
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85
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Assaad S, Kratzert WB, Shelley B, Friedman MB, Perrino A. Assessment of Pulmonary Edema: Principles and Practice. J Cardiothorac Vasc Anesth 2017; 32:901-914. [PMID: 29174750 DOI: 10.1053/j.jvca.2017.08.028] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2017] [Indexed: 12/24/2022]
Abstract
Pulmonary edema increasingly is recognized as a perioperative complication affecting outcome. Several risk factors have been identified, including those of cardiogenic origin, such as heart failure or excessive fluid administration, and those related to increased pulmonary capillary permeability secondary to inflammatory mediators. Effective treatment requires prompt diagnosis and early intervention. Consequently, over the past 2 centuries a concentrated effort to develop clinical tools to rapidly diagnose pulmonary edema and track response to treatment has occurred. The ideal properties of such a tool would include high sensitivity and specificity, easy availability, and the ability to diagnose early accumulation of lung water before the development of the full clinical presentation. In addition, clinicians highly value the ability to precisely quantify extravascular lung water accumulation and differentiate hydrostatic from high permeability etiologies of pulmonary edema. In this review, advances in understanding the physiology of extravascular lung water accumulation in health and in disease and the various mechanisms that protect against the development of pulmonary edema under physiologic conditions are discussed. In addition, the various bedside modalities available to diagnose early accumulation of extravascular lung water and pulmonary edema, including chest auscultation, chest roentgenography, lung ultrasonography, and transpulmonary thermodilution, are examined. Furthermore, advantages and limitations of these methods for the operating room and intensive care unit that are critical for proper modality selection in each individual case are explored.
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Affiliation(s)
- Sherif Assaad
- Cardiothoracic Anesthesia Service, VA Connecticut Healthcare System, Yale University School of Medicine, New Haven, CT.
| | - Wolf B Kratzert
- Department of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, CA
| | - Benjamin Shelley
- Golden Jubilee National Hospital /West of Scotland Heart and Lung Centre, University of Glasgow, Glasgow, Scotland
| | - Malcolm B Friedman
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, VA Connecticut Healthcare System, New Haven, CT
| | - Albert Perrino
- Cardiothoracic Anesthesia Service, VA Connecticut Healthcare System, Yale University School of Medicine, New Haven, CT
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86
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McKown AC, Brown RM, Ware LB, Wanderer JP. External Validity of Electronic Sniffers for Automated Recognition of Acute Respiratory Distress Syndrome. J Intensive Care Med 2017; 34:946-954. [PMID: 28737058 DOI: 10.1177/0885066617720159] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
INTRODUCTION Automated electronic sniffers may be useful for early detection of acute respiratory distress syndrome (ARDS) for institution of treatment or clinical trial screening. METHODS In a prospective cohort of 2929 critically ill patients, we retrospectively applied published sniffer algorithms for automated detection of acute lung injury to assess their utility in diagnosis of ARDS in the first 4 ICU days. Radiographic full-text reports were searched for "edema" OR ("bilateral" AND "infiltrate") and a more detailed algorithm for descriptions consistent with ARDS. Patients were flagged as possible ARDS if a radiograph met search criteria and had a PaO2/FiO2 or SpO2/FiO2 of 300 or 315, respectively. Test characteristics of the electronic sniffers and clinical suspicion of ARDS were compared to a gold standard of 2-physician adjudicated ARDS. RESULTS Thirty percent of 2841 patients included in the analysis had gold standard diagnosis of ARDS. The simpler algorithm had sensitivity for ARDS of 78.9%, specificity of 52%, positive predictive value (PPV) of 41%, and negative predictive value (NPV) of 85.3% over the 4-day study period. The more detailed algorithm had sensitivity of 88.2%, specificity of 55.4%, PPV of 45.6%, and NPV of 91.7%. Both algorithms were more sensitive but less specific than clinician suspicion, which had sensitivity of 40.7%, specificity of 94.8%, PPV of 78.2%, and NPV of 77.7%. CONCLUSIONS Published electronic sniffer algorithms for ARDS may be useful automated screening tools for ARDS and improve on clinical recognition, but they are limited to screening rather than diagnosis because their specificity is poor.
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Affiliation(s)
- Andrew C McKown
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ryan M Brown
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lorraine B Ware
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jonathan P Wanderer
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
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87
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Pham T, Rubenfeld GD. Fifty Years of Research in ARDS. The Epidemiology of Acute Respiratory Distress Syndrome. A 50th Birthday Review. Am J Respir Crit Care Med 2017; 195:860-870. [PMID: 28157386 DOI: 10.1164/rccm.201609-1773cp] [Citation(s) in RCA: 160] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Since its first description 50 years ago, no other intensive care syndrome has been as extensively studied as acute respiratory distress syndrome (ARDS). Despite this extensive body of research, many basic epidemiologic questions remain unsolved. The lack of gold standard tests jeopardizes accurate diagnosis and translational research. Wide variation in the population incidence has been reported, making even simple estimates of the burden of disease problematic. Despite these limitations, there has been an increase in the understanding of pathophysiology and important risk factors both for the development of ARDS and for important patient-centered outcomes like mortality. In this Critical Care Perspective, we discuss the historical context of ARDS description and attempts at its definition. We highlight the epidemiologic challenges of studying ARDS, as well as other intensive care syndromes, and propose solutions to address them. We update the current knowledge of ARDS trends in incidence and mortality, risk factors, and recently described endotypes.
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Affiliation(s)
- Tài Pham
- 1 Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.,2 Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada; and
| | - Gordon D Rubenfeld
- 1 Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.,3 Program in Trauma, Emergency, and Critical Care Organization, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
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88
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Rezoagli E, Fumagalli R, Bellani G. Definition and epidemiology of acute respiratory distress syndrome. ANNALS OF TRANSLATIONAL MEDICINE 2017; 5:282. [PMID: 28828357 DOI: 10.21037/atm.2017.06.62] [Citation(s) in RCA: 132] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Fifty years ago, Ashbaugh and colleagues defined for the first time the acute respiratory distress syndrome (ARDS), one among the most challenging clinical condition of the critical care medicine. The scientific community worked over the years to generate a unified definition of ARDS, which saw its revisited version in the Berlin definition, in 2014. Epidemiologic information about ARDS is limited in the era of the new Berlin definition, and wide differences are reported among countries all over the world. Despite decades of study in the field of lung injury, ARDS is still so far under-recognized, with 2 out of 5 cases missed by clinicians. Furthermore, although advances of ventilator strategies in the management of ARDS associated with outcome improvements-such as protective mechanical ventilation, lower driving pressure, higher PEEP levels and prone positioning-ARDS appears to be undertreated and mortality remains elevated up to 40%. In this review, we cover the history that led to the current worldwide accepted Berlin definition of ARDS and we summarize the recent data regarding ARDS epidemiology.
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Affiliation(s)
- Emanuele Rezoagli
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy
| | - Roberto Fumagalli
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.,Department of Anesthesia and Intensive Care Medicine, Niguarda Ca' Granda Hospital, Milan, Italy
| | - Giacomo Bellani
- Department of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.,Department of Emergency and Intensive Care, San Gerardo Hospital, Monza, Italy
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Siddiqui S, Puthucheary Z, Phua J, Ho B, Tan J, Chuin S, Lim NL, Soh CR, Loo CM, Tan AYH, Mukhopadhyay A, Khan FA, Johan A, Tan AH, MacLaren G, Taculod J, Ramos B, Han TA, Cove ME. National survey of outcomes and practices in acute respiratory distress syndrome in Singapore. PLoS One 2017; 12:e0179343. [PMID: 28622342 PMCID: PMC5473557 DOI: 10.1371/journal.pone.0179343] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 05/26/2017] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION In the past 20 years, our understanding of acute respiratory distress syndrome (ARDS) management has improved, but the worldwide incidence and current outcomes are unclear. The reported incidence is highly variable, and no studies specifically characterise ARDS epidemiology in Asia. This observation study aims to determine the incidence, mortality and management practices of ARDS in a high income South East Asian country. METHODS We conducted a prospective, population based observational study in 6 public hospitals. During a one month period, we identified all ARDS patients admitted to public hospital intensive care units (ICU) in Singapore, according to the Berlin definition. Demographic information, clinical management data and ICU outcome data was collected. RESULTS A total of 904 adult patients were admitted to ICU during the study period and 15 patients met ARDS criteria. The unadjusted incidence of ARDS was 4.5 cases per 100,000 population, accounting for 1.25% of all ICU patients. Most patients were male (75%), Chinese (62%), had pneumonia (73%), and were admitted to a Medical ICU (56%). Management strategies varied across all ICUs. In-hospital mortality was 40% and median length of ICU stay was 7 days. CONCLUSION The incidence of ARDS in a developed S.E Asia country is comparable to reported rates in European studies.
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Affiliation(s)
| | - Zudin Puthucheary
- Departments of Medicine, Anaesthesia and Surgery, National University Hospital, National University Health System, Singapore, Singapore
- Centre for Human Health and Performance, University College London, London, United Kingdom
| | - Jason Phua
- Departments of Medicine, Anaesthesia and Surgery, National University Hospital, National University Health System, Singapore, Singapore
| | - Benjamin Ho
- Departments of Medicine and Anaesthesia, Tan Tock Seng Hospital, Singapore, Singapore
| | - Jonathan Tan
- Departments of Medicine and Anaesthesia, Tan Tock Seng Hospital, Singapore, Singapore
| | - Siau Chuin
- Department of Medicine and Anaesthesia, Changi General Hospital, Singapore, Singapore
| | - Noelle Louise Lim
- Department of Medicine and Anaesthesia, Changi General Hospital, Singapore, Singapore
| | - Chai Rick Soh
- Department of Medicine and Anaesthesia, Singapore General Hospital, Singapore, Singapore
| | - Chian Min Loo
- Department of Medicine and Anaesthesia, Singapore General Hospital, Singapore, Singapore
| | - Addy Y. H. Tan
- Departments of Medicine, Anaesthesia and Surgery, National University Hospital, National University Health System, Singapore, Singapore
| | - Amartya Mukhopadhyay
- Departments of Medicine, Anaesthesia and Surgery, National University Hospital, National University Health System, Singapore, Singapore
| | - Faheem Ahmed Khan
- Department of Critical Care, Ng Teng Fong General Hospital, Jurong Health, Singapore, Singapore
| | - Azman Johan
- Khoo Teck Puat Hospital, Yishun, Singapore, Singapore
| | - Aik Hau Tan
- Department of Medicine and Anaesthesia, Singapore General Hospital, Singapore, Singapore
| | - Graeme MacLaren
- Departments of Medicine, Anaesthesia and Surgery, National University Hospital, National University Health System, Singapore, Singapore
| | - Juvel Taculod
- Departments of Medicine, Anaesthesia and Surgery, National University Hospital, National University Health System, Singapore, Singapore
| | | | - Tun Aung Han
- School of Nursing, Ngee Ann Polytechnic, Singapore, Singapore
| | - Matthew E. Cove
- Departments of Medicine, Anaesthesia and Surgery, National University Hospital, National University Health System, Singapore, Singapore
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90
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Szilágyi KL, Liu C, Zhang X, Wang T, Fortman JD, Zhang W, Garcia JGN. Epigenetic contribution of the myosin light chain kinase gene to the risk for acute respiratory distress syndrome. Transl Res 2017; 180:12-21. [PMID: 27543902 PMCID: PMC5253100 DOI: 10.1016/j.trsl.2016.07.020] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 07/20/2016] [Accepted: 07/23/2016] [Indexed: 12/12/2022]
Abstract
Acute respiratory distress syndrome (ARDS) is a devastating clinical syndrome with a considerable case fatality rate (∼30%-40%). Health disparities exist with African descent (AD) subjects exhibiting greater mortality than European descent (ED) individuals. Myosin light chain kinase is encoded by MYLK, whose genetic variants are implicated in ARDS pathogenesis and may influence ARDS mortality. As baseline population-specific epigenetic changes, that is, cytosine modifications, have been observed between AD and ED individuals, epigenetic variations in MYLK may provide insights into ARDS disparities. We compared methylation levels of MYLK cytosine-guanine dinucleotides (CpGs) between ARDS patients and intensive care unit (ICU) controls overall and by ethnicity in a nested case-control study of 39 ARDS cases and 75 non-ARDS ICU controls. Two MYLK CpG sites (cg03892735 and cg23344121) were differentially modified between ARDS subjects and controls (P < 0.05; q < 0.25) in a logistic regression model, where no effect modification by ethnicity or age was found. One CpG site was associated with ARDS in patients aged <58 years, cg19611163 (intron 19, 20). Two CpG sites were associated with ARDS in EDs only, gene body CpG (cg01894985, intron 2, 3) and CpG (cg16212219, intron 31, 32), with higher modification levels exhibited in ARDS subjects than controls. Cis-acting modified cytosine quantitative trait loci (mQTL) were identified using linear regression between local genetic variants and modification levels for 2 ARDS-associated CpGs (cg23344121 and cg16212219). In summary, these ARDS-associated MYLK CpGs with effect modification by ethnicity and local mQTL suggest that MYLK epigenetic variation and local genetic background may contribute to health disparities observed in ARDS.
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Affiliation(s)
- Keely L Szilágyi
- Laboratory Animal Resource Center, Indiana University School of Medicine, Indianapolis, Ind
| | - Cong Liu
- Department of Bioengineering, University of Illinois at Chicago, Chicago, Ill
| | - Xu Zhang
- Department of Medicine, University of Illinois at Chicago, Chicago, Ill
| | - Ting Wang
- University of Arizona Health Sciences, University of Arizona, Tucson, Ariz
| | - Jeffrey D Fortman
- Biological Resources Laboratory, University of Illinois at Chicago, Chicago, Ill
| | - Wei Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill.
| | - Joe G N Garcia
- University of Arizona Health Sciences, University of Arizona, Tucson, Ariz
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91
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Peng JM, Qian CY, Yu XY, Zhao MY, Li SS, Ma XC, Kang Y, Zhou FC, He ZY, Qin TH, Yin YJ, Jiang L, Hu ZJ, Sun RH, Lin JD, Li T, Wu DW, An YZ, Ai YH, Zhou LH, Cao XY, Zhang XJ, Sun RQ, Chen EZ, Du B. Does training improve diagnostic accuracy and inter-rater agreement in applying the Berlin radiographic definition of acute respiratory distress syndrome? A multicenter prospective study. Crit Care 2017; 21:12. [PMID: 28107822 PMCID: PMC5251343 DOI: 10.1186/s13054-017-1606-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 01/04/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Poor inter-rater reliability in chest radiograph interpretation has been reported in the context of acute respiratory distress syndrome (ARDS), although not for the Berlin definition of ARDS. We sought to examine the effect of training material on the accuracy and consistency of intensivists' chest radiograph interpretations for ARDS diagnosis. METHODS We conducted a rater agreement study in which 286 intensivists (residents 41.3%, junior attending physicians 35.3%, and senior attending physician 23.4%) independently reviewed the same 12 chest radiographs developed by the ARDS Definition Task Force ("the panel") before and after training. Radiographic diagnoses by the panel were classified into the consistent (n = 4), equivocal (n = 4), and inconsistent (n = 4) categories and were used as a reference. The 1.5-hour training course attended by all 286 intensivists included introduction of the diagnostic rationale, and a subsequent in-depth discussion to reach consensus for all 12 radiographs. RESULTS Overall diagnostic accuracy, which was defined as the percentage of chest radiographs that were interpreted correctly, improved but remained poor after training (42.0 ± 14.8% before training vs. 55.3 ± 23.4% after training, p < 0.001). Diagnostic sensitivity and specificity improved after training for all diagnostic categories (p < 0.001), with the exception of specificity for the equivocal category (p = 0.883). Diagnostic accuracy was higher for the consistent category than for the inconsistent and equivocal categories (p < 0.001). Comparisons of pre-training and post-training results revealed that inter-rater agreement was poor and did not improve after training, as assessed by overall agreement (0.450 ± 0.406 vs. 0.461 ± 0.575, p = 0.792), Fleiss's kappa (0.133 ± 0.575 vs. 0.178 ± 0.710, p = 0.405), and intraclass correlation coefficient (ICC; 0.219 vs. 0.276, p = 0.470). CONCLUSIONS The radiographic diagnostic accuracy and inter-rater agreement were poor when the Berlin radiographic definition was used, and were not significantly improved by the training set of chest radiographs developed by the ARDS Definition Task Force. TRIAL REGISTRATION The study was registered at ClinicalTrials.gov (registration number NCT01704066 ) on 6 October 2012.
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Affiliation(s)
- Jin-Min Peng
- Medical ICU, Peking Union Medical College Hospital, 1 Shuai Fu Yuan, Beijing, 100730 People’s Republic of China
| | - Chuan-Yun Qian
- Department of Emergency Medicine, The First Affiliated Hospital of Kunming Medical University, 295 Xichang Street, Kunming, 650032 People’s Republic of China
| | - Xiang-You Yu
- Department of Critical Care Medicine, First Affiliated Hospital, Xinjiang Medical University, 1 Liyushan Road, Urumqi, 830054 People’s Republic of China
| | - Ming-Yan Zhao
- Department of Critical Care Medicine, The First Affiliated Hospital, Harbin Medical University, 23 Youzheng Street, Harbin, 150001 People’s Republic of China
| | - Shu-Sheng Li
- Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, 1095 Jiefang Road, Wuhan, 430030 People’s Republic of China
| | - Xiao-Chun Ma
- Department of Critical Care Medicine, The First Affiliated Hospital of China Medical University, 155 North Nanjing Street, Shenyang, 110001 People’s Republic of China
| | - Yan Kang
- Department of Critical Care Medicine, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041 People’s Republic of China
| | - Fa-Chun Zhou
- Department of Critical Care Medicine, The First Affiliated Hospital, Chongqing Medical University, 1 Youyi Road, Yuanjiagang, Chongqing, 400016 People’s Republic of China
| | - Zhen-Yang He
- Department of Critical Care Medicine, Hainan Provincial People’s Hospital, No. 19 Xiuhua Road, Haikou, 570311 People’s Republic of China
| | - Tie-He Qin
- Department of Critical Care Medicine, Guangdong General Hospital, 106 Zhongshan Er Road, Guangzhou, 510080 People’s Republic of China
| | - Yong-Jie Yin
- Department of Emergency and Critical Care Medicine, The Second Hospital of Jilin University, 18 Ziqiang Street, Changchun, 130041 People’s Republic of China
| | - Li Jiang
- Department of Critical Care Medicine, Fuxing Hospital, Capital Medical University, A20 Fuxingmenwai Street, Beijing, 100038 People’s Republic of China
| | - Zhen-Jie Hu
- Department of Critical Care Medicine, Hebei Medical University Fourth Hospital, 12 Jiankang Road, Shijiazhuang, 050011 People’s Republic of China
| | - Ren-Hua Sun
- Department of Critical Care Medicine, Zhejiang Provincial People’s Hospital, 158 Shangtang Road, Hangzhou, 310014 People’s Republic of China
| | - Jian-Dong Lin
- Department of Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005 People’s Republic of China
| | - Tong Li
- Department of Critical Care Medicine, Beijing Tongren Hospital, Capital Medical University, 2 Chongwenmennei Street, Beijing, 100730 People’s Republic of China
| | - Da-Wei Wu
- Department of Critical Care Medicine, Qilu Hospital, Shandong University, 107 Wenhua Xi Road, Jinan, 250012 People’s Republic of China
| | - You-Zhong An
- Department of Critical Care Medicine, Peking University People’s Hospital, 11 Xizhimen South Street, Beijing, 100044 People’s Republic of China
| | - Yu-Hang Ai
- Department of Critical Care Medicine, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008 People’s Republic of China
| | - Li-Hua Zhou
- Department of Critical Care Medicine, The Affiliated Hospital of Inner Mongolia Medical College, 1 Tongdao North Street, Huhhot, 010050 People’s Republic of China
| | - Xiang-Yuan Cao
- Department of Critical Care Medicine, Affiliated Hospital of Ningxia Medical University, 804 Shengli South Street, Yinchuan, 750004 People’s Republic of China
| | - Xi-Jing Zhang
- Surgical ICU, Department of Anesthesia, Xijing Hospital, 127 Chang Le Xi Road, Xi’an, 710032 People’s Republic of China
| | - Rong-Qing Sun
- Surgical ICU, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Zhengzhou, 450052 Henan People’s Republic of China
| | - Er-Zhen Chen
- Ruijin Hospital, Shanghai Jiao Tong University, No. 197 Ruijin Er Road, Shanghai, 200025 People’s Republic of China
| | - Bin Du
- Medical ICU, Peking Union Medical College Hospital, 1 Shuai Fu Yuan, Beijing, 100730 People’s Republic of China
| | - for the China Critical Care Clinical Trial Group (CCCCTG)
- Medical ICU, Peking Union Medical College Hospital, 1 Shuai Fu Yuan, Beijing, 100730 People’s Republic of China
- Department of Emergency Medicine, The First Affiliated Hospital of Kunming Medical University, 295 Xichang Street, Kunming, 650032 People’s Republic of China
- Department of Critical Care Medicine, First Affiliated Hospital, Xinjiang Medical University, 1 Liyushan Road, Urumqi, 830054 People’s Republic of China
- Department of Critical Care Medicine, The First Affiliated Hospital, Harbin Medical University, 23 Youzheng Street, Harbin, 150001 People’s Republic of China
- Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, 1095 Jiefang Road, Wuhan, 430030 People’s Republic of China
- Department of Critical Care Medicine, The First Affiliated Hospital of China Medical University, 155 North Nanjing Street, Shenyang, 110001 People’s Republic of China
- Department of Critical Care Medicine, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041 People’s Republic of China
- Department of Critical Care Medicine, The First Affiliated Hospital, Chongqing Medical University, 1 Youyi Road, Yuanjiagang, Chongqing, 400016 People’s Republic of China
- Department of Critical Care Medicine, Hainan Provincial People’s Hospital, No. 19 Xiuhua Road, Haikou, 570311 People’s Republic of China
- Department of Critical Care Medicine, Guangdong General Hospital, 106 Zhongshan Er Road, Guangzhou, 510080 People’s Republic of China
- Department of Emergency and Critical Care Medicine, The Second Hospital of Jilin University, 18 Ziqiang Street, Changchun, 130041 People’s Republic of China
- Department of Critical Care Medicine, Fuxing Hospital, Capital Medical University, A20 Fuxingmenwai Street, Beijing, 100038 People’s Republic of China
- Department of Critical Care Medicine, Hebei Medical University Fourth Hospital, 12 Jiankang Road, Shijiazhuang, 050011 People’s Republic of China
- Department of Critical Care Medicine, Zhejiang Provincial People’s Hospital, 158 Shangtang Road, Hangzhou, 310014 People’s Republic of China
- Department of Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005 People’s Republic of China
- Department of Critical Care Medicine, Beijing Tongren Hospital, Capital Medical University, 2 Chongwenmennei Street, Beijing, 100730 People’s Republic of China
- Department of Critical Care Medicine, Qilu Hospital, Shandong University, 107 Wenhua Xi Road, Jinan, 250012 People’s Republic of China
- Department of Critical Care Medicine, Peking University People’s Hospital, 11 Xizhimen South Street, Beijing, 100044 People’s Republic of China
- Department of Critical Care Medicine, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008 People’s Republic of China
- Department of Critical Care Medicine, The Affiliated Hospital of Inner Mongolia Medical College, 1 Tongdao North Street, Huhhot, 010050 People’s Republic of China
- Department of Critical Care Medicine, Affiliated Hospital of Ningxia Medical University, 804 Shengli South Street, Yinchuan, 750004 People’s Republic of China
- Surgical ICU, Department of Anesthesia, Xijing Hospital, 127 Chang Le Xi Road, Xi’an, 710032 People’s Republic of China
- Surgical ICU, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Zhengzhou, 450052 Henan People’s Republic of China
- Ruijin Hospital, Shanghai Jiao Tong University, No. 197 Ruijin Er Road, Shanghai, 200025 People’s Republic of China
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92
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Abstract
Acute respiratory distress syndrome presents as hypoxia and bilateral pulmonary infiltrates on chest imaging in the absence of heart failure sufficient to account for this clinical state. Management is largely supportive, and is focused on protective mechanical ventilation and the avoidance of fluid overload. Patients with severe hypoxaemia can be managed with early short-term use of neuromuscular blockade, prone position ventilation, or extracorporeal membrane oxygenation. The use of inhaled nitric oxide is rarely indicated and both β2 agonists and late corticosteroids should be avoided. Mortality remains at approximately 30%.
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Affiliation(s)
- Rob Mac Sweeney
- Regional Intensive Care Unit, Royal Victoria Hospital, Belfast, Northern Ireland, UK
| | - Daniel F McAuley
- Regional Intensive Care Unit, Royal Victoria Hospital, Belfast, Northern Ireland, UK; Wellcome-Wolfson Institute for Experimental Medicine, Queen's University of Belfast, Belfast, Northern Ireland, UK.
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93
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Abstract
Acute lung injury (ALI) is the clinical syndrome associated with histopathologic diffuse alveolar damage. It is a common cause of acute respiratory symptoms and admission to the intensive care unit. Diagnosis of ALI is typically based on clinical and radiographic criteria; however, because these criteria can be nonspecific, diagnostic uncertainty is common. A multidisciplinary approach that synthesizes clinical, imaging, and pathologic data can ensure an accurate diagnosis. Radiologists must be aware of the radiographic and computed tomographic findings of ALI and its mimics. This article discusses the multidisciplinary diagnosis of ALI from the perspective of the imager.
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Affiliation(s)
- Brett M Elicker
- Cardiac and Pulmonary Imaging Section, Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, Box 0628, San Francisco, CA 94143, USA.
| | - Kirk T Jones
- Department of Pathology, University of California, 505 Parnassus Avenue, Box 0102, San Francisco, CA 94143, USA
| | - David M Naeger
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, Box 0628, San Francisco, CA 94143, USA
| | - James A Frank
- Division of Pulmonary, Critical Care, Allergy and Sleep, San Francisco VA Medical Center, 4150 Clement Street, Box 111D, San Francisco, CA 94121, USA
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94
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Sjoding MW, Cooke CR, Iwashyna TJ, Hofer TP. Acute Respiratory Distress Syndrome Measurement Error. Potential Effect on Clinical Study Results. Ann Am Thorac Soc 2016; 13:1123-8. [PMID: 27159648 PMCID: PMC5015753 DOI: 10.1513/annalsats.201601-072oc] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Accepted: 03/07/2016] [Indexed: 12/21/2022] Open
Abstract
RATIONALE Identifying patients with acute respiratory distress syndrome (ARDS) is a recognized challenge. Experts often have only moderate agreement when applying the clinical definition of ARDS to patients. However, no study has fully examined the implications of low reliability measurement of ARDS on clinical studies. OBJECTIVES To investigate how the degree of variability in ARDS measurement commonly reported in clinical studies affects study power, the accuracy of treatment effect estimates, and the measured strength of risk factor associations. METHODS We examined the effect of ARDS measurement error in randomized clinical trials (RCTs) of ARDS-specific treatments and cohort studies using simulations. We varied the reliability of ARDS diagnosis, quantified as the interobserver reliability (κ-statistic) between two reviewers. In RCT simulations, patients identified as having ARDS were enrolled, and when measurement error was present, patients without ARDS could be enrolled. In cohort studies, risk factors as potential predictors were analyzed using reviewer-identified ARDS as the outcome variable. MEASUREMENTS AND MAIN RESULTS Lower reliability measurement of ARDS during patient enrollment in RCTs seriously degraded study power. Holding effect size constant, the sample size necessary to attain adequate statistical power increased by more than 50% as reliability declined, although the result was sensitive to ARDS prevalence. In a 1,400-patient clinical trial, the sample size necessary to maintain similar statistical power increased to over 1,900 when reliability declined from perfect to substantial (κ = 0.72). Lower reliability measurement diminished the apparent effectiveness of an ARDS-specific treatment from a 15.2% (95% confidence interval, 9.4-20.9%) absolute risk reduction in mortality to 10.9% (95% confidence interval, 4.7-16.2%) when reliability declined to moderate (κ = 0.51). In cohort studies, the effect on risk factor associations was similar. CONCLUSIONS ARDS measurement error can seriously degrade statistical power and effect size estimates of clinical studies. The reliability of ARDS measurement warrants careful attention in future ARDS clinical studies.
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Affiliation(s)
- Michael W. Sjoding
- Department of Internal Medicine and
- Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, Michigan
| | - Colin R. Cooke
- Department of Internal Medicine and
- Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, Michigan
| | - Theodore J. Iwashyna
- Department of Internal Medicine and
- VA Center for Clinical Management Research, Ann Arbor, Michigan
- Institute for Social Research, Ann Arbor, Michigan; and
- Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Timothy P. Hofer
- Department of Internal Medicine and
- Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, Michigan
- VA Center for Clinical Management Research, Ann Arbor, Michigan
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95
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The Epidemiology of Transfusion-related Acute Lung Injury Varies According to the Applied Definition of Lung Injury Onset Time. Ann Am Thorac Soc 2016; 12:1328-35. [PMID: 26102516 DOI: 10.1513/annalsats.201504-246oc] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
RATIONALE Research that applies an unreliable definition for transfusion-related acute lung injury (TRALI) may draw false conclusions about its risk factors and biology. The effectiveness of preventive strategies may decrease as a consequence. However, the reliability of the consensus TRALI definition is unknown. OBJECTIVES To prospectively study the effect of applying two plausible definitions of acute respiratory distress syndrome onset time on TRALI epidemiology. METHODS We studied 316 adults admitted to the intensive care unit and transfused red blood cells within 24 hours of blunt trauma. We identified patients with acute respiratory distress syndrome, and defined acute respiratory distress syndrome onset time two ways: (1) the time at which the first radiographic or oxygenation criterion was met, and (2) the time both criteria were met. We categorized two corresponding groups of TRALI cases transfused in the 6 hours before acute respiratory distress syndrome onset. We used Cohen's kappa to measure agreement between the TRALI cases and implicated blood components identified by the two acute respiratory distress syndrome onset time definitions. In a nested case-control study, we examined potential risk factors for each group of TRALI cases, including demographics, injury severity, and characteristics of blood components transfused in the 6 hours before acute respiratory distress syndrome onset. MEASUREMENTS AND MAIN RESULTS Forty-two of 113 patients with acute respiratory distress syndrome were TRALI cases per the first acute respiratory distress syndrome onset time definition and 63 per the second definition. There was slight agreement between the two groups of TRALI cases (κ = 0.16; 95% confidence interval, -0.01 to 0.33) and between the implicated blood components (κ = 0.15, 95% confidence interval, 0.11-0.20). Age, Injury Severity Score, high plasma-volume components, and transfused plasma volume were risk factors for TRALI when applying the second acute respiratory distress syndrome onset time definition but not when applying the first definition. CONCLUSIONS The epidemiology of TRALI varies when applying two plausible definitions of acute respiratory distress syndrome onset time to severely injured trauma patients. A TRALI definition that standardizes acute respiratory distress syndrome onset time might improve reliability and align efforts to understand epidemiology, biology, and prevention.
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96
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Castro DA, Naqvi AA, Vandenkerkhof E, Flavin MP, Manson D, Soboleski D. Effect of Picture Archiving and Communication System Image Manipulation on the Agreement of Chest Radiograph Interpretation in the Neonatal Intensive Care Unit. J Clin Imaging Sci 2016; 6:19. [PMID: 27274414 PMCID: PMC4879851 DOI: 10.4103/2156-7514.182730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Accepted: 04/22/2016] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE Variability in image interpretation has been attributed to differences in the interpreters' knowledge base, experience level, and access to the clinical scenario. Picture archiving and communication system (PACS) has allowed the user to manipulate the images while developing their impression of the radiograph. The aim of this study was to determine the agreement of chest radiograph (CXR) impressions among radiologists and neonatologists and help determine the effect of image manipulation with PACS on report impression. MATERIALS AND METHODS Prospective cohort study included 60 patients from the Neonatal Intensive Care Unit undergoing CXRs. Three radiologists and three neonatologists reviewed two consecutive frontal CXRs of each patient. Each physician was allowed manipulation of images as needed to provide a decision of "improved," "unchanged," or "disease progression" lung disease for each patient. Each physician repeated the process once more; this time, they were not allowed to individually manipulate the images, but an independent radiologist presets the image brightness and contrast to best optimize the CXR appearance. Percent agreement and opposing reporting views were calculated between all six physicians for each of the two methods (allowing and not allowing image manipulation). RESULTS One hundred percent agreement in image impression between all six observers was only seen in 5% of cases when allowing image manipulation; 100% agreement was seen in 13% of the cases when there was no manipulation of the images. CONCLUSION Agreement in CXR interpretation is poor; the ability to manipulate the images on PACS results in a decrease in agreement in the interpretation of these studies. New methods to standardize image appearance and allow improved comparison with previous studies should be sought to improve clinician agreement in interpretation consistency and advance patient care.
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Affiliation(s)
- Denise A Castro
- Department of Diagnostic Imaging, University of Toronto, Toronto, Canada
| | - Asad Ahmed Naqvi
- Department of Diagnostic Radiology, Queen's University, Kingston, Ontario, Canada
| | - Elizabeth Vandenkerkhof
- Department of Anesthesiology and Perioperative Medicine, School of Nursing, Queen's University, Kingston, Ontario, Canada
| | - Michael P Flavin
- Department of Pediatrics and Diagnostic Radiology, Queen's University, Kingston, Ontario, Canada
| | - David Manson
- Department of Diagnostic Imaging, University of Toronto, Toronto, Canada
| | - Donald Soboleski
- Department of Diagnostic Radiology, Queen's University, Kingston, Ontario, Canada
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97
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Personalized medicine for ARDS: the 2035 research agenda. Intensive Care Med 2016; 42:756-767. [PMID: 27040103 DOI: 10.1007/s00134-016-4331-6] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 03/14/2016] [Indexed: 12/13/2022]
Abstract
In the last 20 years, survival among patients with acute respiratory distress syndrome (ARDS) has increased substantially with advances in lung-protective ventilation and resuscitation. Building on this success, personalizing mechanical ventilation to patient-specific physiology for enhanced lung protection will be a top research priority for the years ahead. However, the ARDS research agenda must be broader in scope. Further understanding of the heterogeneous biology, from molecular to mechanical, underlying early ARDS pathogenesis is essential to inform therapeutic discovery and tailor treatment and prevention strategies to the individual patient. The ARDSne(x)t research agenda for the next 20 years calls for bringing personalized medicine to ARDS, asking simultaneously both whether a treatment affords clinically meaningful benefit and for whom. This expanded scope necessitates standard acquisition of highly granular biological, physiological, and clinical data across studies to identify biologically distinct subgroups that may respond differently to a given intervention. Clinical trials will need to consider enrichment strategies and incorporate long-term functional outcomes. Tremendous investment in research infrastructure and global collaboration will be vital to fulfilling this agenda.
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98
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Seymour CW, Coopersmith CM, Deutschman CS, Gesten F, Klompas M, Levy M, Martin GS, Osborn TM, Rhee C, Warren DK, Watson RS, Angus DC. Application of a Framework to Assess the Usefulness of Alternative Sepsis Criteria. Crit Care Med 2016; 44:e122-30. [PMID: 26901560 PMCID: PMC4765919 DOI: 10.1097/ccm.0000000000001724] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The current definition of sepsis is life-threatening, acute organ dysfunction secondary to a dysregulated host response to infection. Criteria to operationalize this definition can be judged by six domains of usefulness (reliability, content, construct and criterion validity, measurement burden, and timeliness). The relative importance of these six domains depends on the intended purpose for the criteria (clinical care, basic and clinical research, surveillance, or quality improvement [QI] and audit). For example, criteria for clinical care should have high content and construct validity, timeliness, and low measurement burden to facilitate prompt care. Criteria for surveillance or QI/audit place greater emphasis on reliability across individuals and sites and lower emphasis on timeliness. Criteria for clinical trials require timeliness to ensure prompt enrollment and reasonable reliability but can tolerate high measurement burden. Basic research also tolerates high measurement burden and may not need stability over time. In an illustrative case study, we compared examples of criteria designed for clinical care, surveillance and QI/audit among 396,241 patients admitted to 12 academic and community hospitals in an integrated health system. Case rates differed four-fold and mortality three-fold. Predictably, clinical care criteria, which emphasized timeliness and low burden and therefore used vital signs and routine laboratory tests, had the greater case identification with lowest mortality. QI/audit criteria, which emphasized reliability and criterion validity, used discharge information and had the lowest case identification with highest mortality. Using this framework to identify the purpose and apply domains of usefulness can help with the evaluation of existing sepsis diagnostic criteria and provide a roadmap for future work.
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Affiliation(s)
- Christopher W Seymour
- 1The Clinical Research, Investigation, and Systems Modeling of Acute illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.2Department of Surgery, Emory University School of Medicine, Atlanta, GA.3Hofstra-North Shore-LIJ School of Medicine, Cohen Children's Medical Center, New Hyde Park, NY.4Office of Quality and Patient Safety, New York State Health Department, Albany, NY.5Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA; Department of Medicine, Brigham and Women's Hospital, Boston, MA.6Division of Pulmonary and Critical Care Medicine, Brown University School of Medicine, Providence, RI.7Department of Critical Care, Division of Pulmonary, Allergy, and Critical Care Medicine, Emory University School of Medicine, Atlanta, GA.8Departments of Surgery and Emergency Medicine, Washington University School of Medicine, St. Louis, MO.9Department of Medicine, Infectious Diseases, Washington University School of Medicine, St. Louis, MO.10Department of Pediatrics, Pediatric Critical Care Medicine, University of Washington and Center for Child Health Behavior and Development, Seattle Children's Research Institute, Seattle, WA
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99
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Dalpiaz G, Piolanti M. Non-infectious Parenchymal Lung Disease. EMERGENCY RADIOLOGY OF THE CHEST AND CARDIOVASCULAR SYSTEM 2016. [PMCID: PMC7121959 DOI: 10.1007/174_2016_30] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Acute dyspnea is a common presenting complaint in the emergency room, emergency medicine and intensive care. It may have a cardiovascular or a non-cardiovascular origin, the latter including pulmonary parenchymal diseases. Depending on the cause, it may be associated with fever, cough, hemoptysis, and/or chest pain, with a duration of symptoms that can range from hours to days. Prompt identification of the underlying cause of acute dyspnea is essential in guiding appropriate therapy and management, as patients may rapidly progress to acute respiratory failure. Evaluation with chest radiography is vital for initial assessment and may reveal diffuse parenchymal abnormalities, which may require further assessment with computed tomography (HRCT). Acute non-infectious parenchymal lung diseases are often overlooked and may be under-diagnosed. Their diagnosis requires the evaluation, along with the HRCT pattern, of the clinical and laboratory features and of the bronchoalveolar lavage. Biopsy may be necessary in more complex cases. Although the most frequent cause of diffuse non-infectious parenchymal lung involvement is acute hydrostatic pulmonary edema, there is a wide variety of diseases that may be encountered, including acute drug toxicity, hypersensitivity pneumonitis (HP), acute respiratory distress syndrome (ARDS) and diffuse alveolar hemorrhage (DAH). In trauma patients, fat embolism syndrome (FES) must be taken into account. Acute respiratory failure is an eventuality that can occur during the course of chronic lung diseases (UIP for example), which may have been unknown until then.
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Misclassification of acute respiratory distress syndrome after traumatic injury: The cost of less rigorous approaches. J Trauma Acute Care Surg 2015; 79:417-24. [PMID: 26307875 DOI: 10.1097/ta.0000000000000760] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Adherence to rigorous research protocols for identifying adult respiratory distress syndrome (ARDS) after trauma is variable. To examine how misclassification of ARDS may bias observational studies in trauma populations, we evaluated the agreement of two methods for adjudicating ARDS after trauma: the current gold standard, direct review of chest radiographs and review of dictated radiology reports, a commonly used alternative. METHODS This nested cohort study included 123 mechanically ventilated patients between 2005 and 2008, with at least one PaO2/FIO2 less than 300 within the first 8 days of admission. Two blinded physician investigators adjudicated ARDS by two methods. The investigators directly reviewed all chest radiographs to evaluate for bilateral infiltrates. Several months later, blinded to their previous assessments, they adjudicated ARDS using a standardized rubric to classify radiology reports. A κ statistics was calculated. Regression analyses quantified the association between established risk factors as well as important clinical outcomes and ARDS determined by the aforementioned methods as well as hypoxemia as a surrogate marker. RESULTS The κ was 0.47 for the observed agreement between ARDS adjudicated by direct review of chest radiographs and ARDS adjudicated by review of radiology reports. Both the magnitude and direction of bias on the estimates of association between ARDS and established risk factors as well as clinical outcomes varied by method of adjudication. CONCLUSION Classification of ARDS by review of dictated radiology reports had only moderate agreement with the current gold standard, ARDS adjudicated by direct review of chest radiographs. While the misclassification of ARDS had varied effects on the estimates of associations with established risk factors, it tended to weaken the association of ARDS with important clinical outcomes. A standardized approach to ARDS adjudication after trauma by direct review of chest radiographs will minimize misclassification bias in future observational studies. LEVEL OF EVIDENCE Diagnostic study, level II.
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