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Chiumello D, Coppola S, Catozzi G, Danzo F, Santus P, Radovanovic D. Lung Imaging and Artificial Intelligence in ARDS. J Clin Med 2024; 13:305. [PMID: 38256439 PMCID: PMC10816549 DOI: 10.3390/jcm13020305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/26/2023] [Accepted: 12/30/2023] [Indexed: 01/24/2024] Open
Abstract
Artificial intelligence (AI) can make intelligent decisions in a manner akin to that of the human mind. AI has the potential to improve clinical workflow, diagnosis, and prognosis, especially in radiology. Acute respiratory distress syndrome (ARDS) is a very diverse illness that is characterized by interstitial opacities, mostly in the dependent areas, decreased lung aeration with alveolar collapse, and inflammatory lung edema resulting in elevated lung weight. As a result, lung imaging is a crucial tool for evaluating the mechanical and morphological traits of ARDS patients. Compared to traditional chest radiography, sensitivity and specificity of lung computed tomography (CT) and ultrasound are higher. The state of the art in the application of AI is summarized in this narrative review which focuses on CT and ultrasound techniques in patients with ARDS. A total of eighteen items were retrieved. The primary goals of using AI for lung imaging were to evaluate the risk of developing ARDS, the measurement of alveolar recruitment, potential alternative diagnoses, and outcome. While the physician must still be present to guarantee a high standard of examination, AI could help the clinical team provide the best care possible.
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Affiliation(s)
- Davide Chiumello
- Department of Health Sciences, University of Milan, 20122 Milan, Italy
- Department of Anesthesia and Intensive Care, ASST Santi Paolo e Carlo, San Paolo University Hospital Milan, 20142 Milan, Italy
- Coordinated Research Center on Respiratory Failure, University of Milan, 20122 Milan, Italy
| | - Silvia Coppola
- Department of Anesthesia and Intensive Care, ASST Santi Paolo e Carlo, San Paolo University Hospital Milan, 20142 Milan, Italy
| | - Giulia Catozzi
- Department of Health Sciences, University of Milan, 20122 Milan, Italy
| | - Fiammetta Danzo
- Division of Respiratory Diseases, Luigi Sacco University Hospital, ASST Fatebenefratelli-Sacco, 20157 Milan, Italy
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy
| | - Pierachille Santus
- Division of Respiratory Diseases, Luigi Sacco University Hospital, ASST Fatebenefratelli-Sacco, 20157 Milan, Italy
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy
| | - Dejan Radovanovic
- Division of Respiratory Diseases, Luigi Sacco University Hospital, ASST Fatebenefratelli-Sacco, 20157 Milan, Italy
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy
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Fanning JP, Weaver N, Fanning RB, Griffee MJ, Cho SM, Panigada M, Obonyo NG, Zaaqoq AM, Rando H, Chia YW, Fan BE, Sela D, Chiumello D, Coppola S, Labib A, Whitman GJR, Arora RC, Kim BS, Motos A, Torres A, Barbé F, Grasselli G, Zanella A, Etchill E, Usman AA, Feth M, White NM, Suen JY, Li Bassi G, Peek GJ, Fraser JF, Dalton H. Hemorrhage, Disseminated Intravascular Coagulopathy, and Thrombosis Complications Among Critically Ill Patients with COVID-19: An International COVID-19 Critical Care Consortium Study. Crit Care Med 2023; 51:619-631. [PMID: 36867727 PMCID: PMC10089926 DOI: 10.1097/ccm.0000000000005798] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Abstract
OBJECTIVES To determine the prevalence and outcomes associated with hemorrhage, disseminated intravascular coagulopathy, and thrombosis (HECTOR) complications in ICU patients with COVID-19. DESIGN Prospective, observational study. SETTING Two hundred twenty-nine ICUs across 32 countries. PATIENTS Adult patients (≥ 16 yr) admitted to participating ICUs for severe COVID-19 from January 1, 2020, to December 31, 2021. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS HECTOR complications occurred in 1,732 of 11,969 study eligible patients (14%). Acute thrombosis occurred in 1,249 patients (10%), including 712 (57%) with pulmonary embolism, 413 (33%) with myocardial ischemia, 93 (7.4%) with deep vein thrombosis, and 49 (3.9%) with ischemic strokes. Hemorrhagic complications were reported in 579 patients (4.8%), including 276 (48%) with gastrointestinal hemorrhage, 83 (14%) with hemorrhagic stroke, 77 (13%) with pulmonary hemorrhage, and 68 (12%) with hemorrhage associated with extracorporeal membrane oxygenation (ECMO) cannula site. Disseminated intravascular coagulation occurred in 11 patients (0.09%). Univariate analysis showed that diabetes, cardiac and kidney diseases, and ECMO use were risk factors for HECTOR. Among survivors, ICU stay was longer (median days 19 vs 12; p < 0.001) for patients with versus without HECTOR, but the hazard of ICU mortality was similar (hazard ratio [HR] 1.01; 95% CI 0.92-1.12; p = 0.784) overall, although this hazard was identified when non-ECMO patients were considered (HR 1.13; 95% CI 1.02-1.25; p = 0.015). Hemorrhagic complications were associated with an increased hazard of ICU mortality compared to patients without HECTOR complications (HR 1.26; 95% CI 1.09-1.45; p = 0.002), whereas thrombosis complications were associated with reduced hazard (HR 0.88; 95% CI 0.79-0.99, p = 0.03). CONCLUSIONS HECTOR events are frequent complications of severe COVID-19 in ICU patients. Patients receiving ECMO are at particular risk of hemorrhagic complications. Hemorrhagic, but not thrombotic complications, are associated with increased ICU mortality.
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Affiliation(s)
- Jonathon P Fanning
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Natasha Weaver
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
| | - Robert B Fanning
- Northern Hospital, Northern Health, Melbourne, VIC, Australia
- Faculty of Medicine, University of Melbourne, Melbourne, VIC, Australia
| | - Matthew J Griffee
- Department of Anesthesiology and Perioperative Medicine, Sections of Critical Care and Perioperative Echocardiography, University of Utah, Salt Lake City, UT
- Department of Anesthesiology, Anesthesiology Service, Veteran Affairs Medical Center, Salt Lake City, UT
| | - Sung-Min Cho
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
- Division of Neuroscience Critical Care, Department of Neurology and Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Mauro Panigada
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico di Milano, Department of Anesthesia, Intensive Care and Emergency. Milano, Lombardia, Italy
| | - Nchafatso G Obonyo
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Initiative to Develop African Research Leaders (IDeAL)/KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Wellcome Trust Centre for Global Health Research, Imperial College London, London, United Kingdom
| | - Akram M Zaaqoq
- Department of Critical Care Medicine, MedStar Washington Hospital Center, Washington, DC
- Department of Medicine, Georgetown University, Washington, DC
| | - Hannah Rando
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Yew Woon Chia
- Department of Cardiology, Tan Tock Seng Hospital, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Bingwen Eugene Fan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Haematology, Tan Tock Seng Hospital, Singapore
- Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore
| | - Declan Sela
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Davide Chiumello
- Department of Anesthesia and Intensive Care, Aziende Socio Sanitarie Territoriali (ASST) Santi Paolo e Carlo, San Paolo University Hospital of Milan, Milan, Italy
| | - Silvia Coppola
- Department of Anesthesia and Intensive Care, Aziende Socio Sanitarie Territoriali (ASST) Santi Paolo e Carlo, San Paolo University Hospital of Milan, Milan, Italy
| | - Ahmed Labib
- Medical Intensive Care Unit, Department of Medicine, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Glenn J R Whitman
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Rakesh C Arora
- Section of Cardiac Surgery, Department of Surgery, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Bo S Kim
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Anna Motos
- Harrington Heart and Vascular Institute, University Hospitals - Cleveland Medical Center, Cleveland, OH
- Division of Cardiac Surgery, Department of Surgery, Case Western Reserve University, Cleveland, OH
| | - Antoni Torres
- Harrington Heart and Vascular Institute, University Hospitals - Cleveland Medical Center, Cleveland, OH
- Division of Cardiac Surgery, Department of Surgery, Case Western Reserve University, Cleveland, OH
- Centro de Investigación Biomedica En Red - Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Institut d'Investigacions Biomediques August Pi I Sunyer (IDIBAPS), Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Ferran Barbé
- Harrington Heart and Vascular Institute, University Hospitals - Cleveland Medical Center, Cleveland, OH
- Servei de Pneumologia, Hospital Clinic, University of Barcelona, Spain
| | - Giacomo Grasselli
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico di Milano, Department of Anesthesia, Intensive Care and Emergency. Milano, Lombardia, Italy
- Institució Catalana de Recerca i Estudis Avançats, Spain
| | - Alberto Zanella
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico di Milano, Department of Anesthesia, Intensive Care and Emergency. Milano, Lombardia, Italy
- Institució Catalana de Recerca i Estudis Avançats, Spain
| | - Eric Etchill
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD
| | - Asad Ali Usman
- Translational Research in Respiratory Medicine, Respiratory Department, Hospital Universitari Aranu de Vilanova and Santa Maria, IRBLleida, Leida, Spain
| | - Maximilian Feth
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Nicole M White
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia
- Department of Anesthesia and Critical Care, Hospital of the University of Pennsylvania, University of Pennsylvania, Philadelphia, PA
| | - Jacky Y Suen
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Gianluigi Li Bassi
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Department of Anesthesia and Critical Care, Hospital of the University of Pennsylvania, University of Pennsylvania, Philadelphia, PA
- Department of Anesthesiology, Critical Care, Emergency and Pain Medicine, Military Medical Center Ulm, Ulm, Germany
| | - Giles J Peek
- Department of Anesthesiology, Critical Care, Emergency and Pain Medicine, Military Medical Center Ulm, Ulm, Germany
| | - John F Fraser
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Department of Anesthesia and Critical Care, Hospital of the University of Pennsylvania, University of Pennsylvania, Philadelphia, PA
- Queensland University of Technology, Brisbane, QLD, Australia
| | - Heidi Dalton
- Department of Cardiology, Tan Tock Seng Hospital, Singapore
- Congenital Heart Centre, University of Florida, Gainesville, FL
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Buttia C, Llanaj E, Raeisi-Dehkordi H, Kastrati L, Amiri M, Meçani R, Taneri PE, Ochoa SAG, Raguindin PF, Wehrli F, Khatami F, Espínola OP, Rojas LZ, de Mortanges AP, Macharia-Nimietz EF, Alijla F, Minder B, Leichtle AB, Lüthi N, Ehrhard S, Que YA, Fernandes LK, Hautz W, Muka T. Prognostic models in COVID-19 infection that predict severity: a systematic review. Eur J Epidemiol 2023; 38:355-372. [PMID: 36840867 PMCID: PMC9958330 DOI: 10.1007/s10654-023-00973-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 01/28/2023] [Indexed: 02/26/2023]
Abstract
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability remains controversial. We performed a systematic review to summarize and critically appraise the available studies that have developed, assessed and/or validated prognostic models of COVID-19 predicting health outcomes. We searched six bibliographic databases to identify published articles that investigated univariable and multivariable prognostic models predicting adverse outcomes in adult COVID-19 patients, including intensive care unit (ICU) admission, intubation, high-flow nasal therapy (HFNT), extracorporeal membrane oxygenation (ECMO) and mortality. We identified and assessed 314 eligible articles from more than 40 countries, with 152 of these studies presenting mortality, 66 progression to severe or critical illness, 35 mortality and ICU admission combined, 17 ICU admission only, while the remaining 44 studies reported prediction models for mechanical ventilation (MV) or a combination of multiple outcomes. The sample size of included studies varied from 11 to 7,704,171 participants, with a mean age ranging from 18 to 93 years. There were 353 prognostic models investigated, with area under the curve (AUC) ranging from 0.44 to 0.99. A great proportion of studies (61.5%, 193 out of 314) performed internal or external validation or replication. In 312 (99.4%) studies, prognostic models were reported to be at high risk of bias due to uncertainties and challenges surrounding methodological rigor, sampling, handling of missing data, failure to deal with overfitting and heterogeneous definitions of COVID-19 and severity outcomes. While several clinical prognostic models for COVID-19 have been described in the literature, they are limited in generalizability and/or applicability due to deficiencies in addressing fundamental statistical and methodological concerns. Future large, multi-centric and well-designed prognostic prospective studies are needed to clarify remaining uncertainties.
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Affiliation(s)
- Chepkoech Buttia
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Emergency Department, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 16C, 3010 Bern, Switzerland
- Epistudia, Bern, Switzerland
| | - Erand Llanaj
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- ELKH-DE Public Health Research Group of the Hungarian Academy of Sciences, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
- Epistudia, Bern, Switzerland
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Hamidreza Raeisi-Dehkordi
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Lum Kastrati
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Mojgan Amiri
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Renald Meçani
- Department of Pediatrics, “Mother Teresa” University Hospital Center, Tirana, University of Medicine, Tirana, Albania
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Petek Eylul Taneri
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- HRB-Trials Methodology Research Network College of Medicine, Nursing and Health Sciences University of Galway, Galway, Ireland
| | | | - Peter Francis Raguindin
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Swiss Paraplegic Research, Nottwil, Switzerland
- Faculty of Health Sciences, University of Lucerne, Lucerne, Switzerland
| | - Faina Wehrli
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Farnaz Khatami
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
- Department of Community Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Octavio Pano Espínola
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Department of Preventive Medicine and Public Health, University of Navarre, Pamplona, Spain
- Navarra Institute for Health Research, IdiSNA, Pamplona, Spain
| | - Lyda Z. Rojas
- Research Group and Development of Nursing Knowledge (GIDCEN-FCV), Research Center, Cardiovascular Foundation of Colombia, Floridablanca, Santander, Colombia
| | | | | | - Fadi Alijla
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Beatrice Minder
- Public Health and Primary Care Library, University Library of Bern, University of Bern, Bern, Switzerland
| | - Alexander B. Leichtle
- University Institute of Clinical Chemistry, Inselspital, Bern University Hospital, and Center for Artificial Intelligence in Medicine (CAIM), University of Bern, Bern, Switzerland
| | - Nora Lüthi
- Emergency Department, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 16C, 3010 Bern, Switzerland
| | - Simone Ehrhard
- Emergency Department, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 16C, 3010 Bern, Switzerland
| | - Yok-Ai Que
- Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Laurenz Kopp Fernandes
- Deutsches Herzzentrum Berlin (DHZB), Berlin, Germany
- Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Wolf Hautz
- Emergency Department, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 16C, 3010 Bern, Switzerland
| | - Taulant Muka
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Epistudia, Bern, Switzerland
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Mariani S, De Piero ME, Ravaux JM, Saelmans A, Kawczynski MJ, van Bussel BCT, Di Mauro M, Willers A, Swol J, Kowalewski M, Li T, Delnoij TSR, van der Horst ICC, Maessen J, Lorusso R. Temporary mechanical circulatory support for COVID‐19 patients: A systematic review of literature. Artif Organs 2022; 46:1249-1267. [PMID: 35490367 PMCID: PMC9325561 DOI: 10.1111/aor.14261] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 11/10/2021] [Accepted: 04/06/2022] [Indexed: 01/08/2023]
Abstract
Objective Myocardial damage occurs in up to 25% of coronavirus disease 2019 (COVID‐19) cases. While veno‐venous extracorporeal life support (V‐V ECLS) is used as respiratory support, mechanical circulatory support (MCS) may be required for severe cardiac dysfunction. This systematic review summarizes the available literature regarding MCS use rates, disease drivers for MCS initiation, and MCS outcomes in COVID‐19 patients. Methods PubMed/EMBASE were searched until October 14, 2021. Articles including adults receiving ECLS for COVID‐19 were included. The primary outcome was the rate of MCS use. Secondary outcomes included mortality at follow‐up, ECLS conversion rate, intubation‐to‐cannulation time, time on ECLS, cardiac diseases, use of inotropes, and vasopressors. Results Twenty‐eight observational studies (comprising both ECLS‐only populations and ECLS patients as part of larger populations) included 4218 COVID‐19 patients (females: 28.8%; median age: 54.3 years, 95%CI: 50.7–57.8) of whom 2774 (65.8%) required ECLS with the majority (92.7%) on V‐V ECLS, 4.7% on veno‐arterial ECLS and/or Impella, and 2.6% on other ECLS. Acute heart failure, cardiogenic shock, and cardiac arrest were reported in 7.8%, 9.7%, and 6.6% of patients, respectively. Vasopressors were used in 37.2%. Overall, 3.1% of patients required an ECLS change from V‐V ECLS to MCS for heart failure, myocarditis, or myocardial infarction. The median ECLS duration was 15.9 days (95%CI: 13.9–16.3), with an overall survival of 54.6% and 28.1% in V‐V ECLS and MCS patients. One study reported 61.1% survival with oxy‐right ventricular assist device. Conclusion MCS use for cardiocirculatory compromise has been reported in 7.3% of COVID‐19 patients requiring ECLS, which is a lower percentage compared to the incidence of any severe cardiocirculatory complication. Based on the poor survival rates, further investigations are warranted to establish the most appropriated indications and timing for MCS in COVID‐19.
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Affiliation(s)
- Silvia Mariani
- Cardio‐Thoracic Surgery Department, Heart and Vascular Centre Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM) Maastricht The Netherlands
| | - Maria Elena De Piero
- Cardio‐Thoracic Surgery Department, Heart and Vascular Centre Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM) Maastricht The Netherlands
| | - Justine M. Ravaux
- Cardio‐Thoracic Surgery Department, Heart and Vascular Centre Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM) Maastricht The Netherlands
| | - Alexander Saelmans
- Cardio‐Thoracic Surgery Department, Heart and Vascular Centre Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
| | - Michal J. Kawczynski
- Cardio‐Thoracic Surgery Department, Heart and Vascular Centre Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM) Maastricht The Netherlands
| | - Bas C. T. van Bussel
- Department of Intensive Care Medicine Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
- Care And Public Health Research Institute (CAPHRI) Maastricht University Maastricht The Netherlands
| | - Michele Di Mauro
- Cardio‐Thoracic Surgery Department, Heart and Vascular Centre Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM) Maastricht The Netherlands
| | - Anne Willers
- Cardio‐Thoracic Surgery Department, Heart and Vascular Centre Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM) Maastricht The Netherlands
| | - Justyna Swol
- Department of Pneumology, Allergology and Sleep Medicine Paracelsus Medical University Nuremberg Germany
| | - Mariusz Kowalewski
- Clinical Department of Cardiac Surgery Central Clinical Hospital of the Ministry of Interior and Administration, Centre of Postgraduate Medical Education Warsaw Poland
| | - Tong Li
- Department of Cardiothoracic, Transplantation and Vascular Surgery Hannover Medical School Hannover Germany
| | - Thijs S. R. Delnoij
- Department of Intensive Care Medicine Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
- Department of Cardiology, Heart and Vascular Centre Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
| | - Iwan C. C. van der Horst
- Cardiovascular Research Institute Maastricht (CARIM) Maastricht The Netherlands
- Department of Intensive Care Medicine Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
| | - Jos Maessen
- Cardio‐Thoracic Surgery Department, Heart and Vascular Centre Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM) Maastricht The Netherlands
| | - Roberto Lorusso
- Cardio‐Thoracic Surgery Department, Heart and Vascular Centre Maastricht University Medical Centre (MUMC) Maastricht The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM) Maastricht The Netherlands
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Bohman JJKK, Seelhammer TG, Mazzeffi M, Gutsche J, Ramakrishna H. The Year in Extracorporeal Membrane Oxygenation: Selected Highlights From 2021. J Cardiothorac Vasc Anesth 2022; 36:1832-1843. [PMID: 35367120 DOI: 10.1053/j.jvca.2022.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 11/11/2022]
Abstract
This review summarizes the extracorporeal membrane oxygenation (ECMO) or extracorporeal life support literature published in 2021. This Selected Highlights article is not intended to be an exhaustive review of the literature, but rather a summarizing of key themes that developed in the ECMO literature during 2021. The primary topics presented include the following: ECMO for coronavirus disease 2019, extracorporeal cardiopulmonary resuscitation, periprocedural cardiopulmonary support with ECMO, and anticoagulation for ECMO.
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Affiliation(s)
- John J Kyle K Bohman
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
| | - Troy G Seelhammer
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
| | - Michael Mazzeffi
- Department of Anesthesiology and Critical Care Medicine, The George Washington University, Washington, DC
| | - Jacob Gutsche
- Department of Anesthesiology and Critical Care Medicine, Penn Presbyterian Medical Center, University of Pennsylvania, Philadelphia, PA
| | - Harish Ramakrishna
- Division of Cardiovascular and Thoracic Anesthesiology, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
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Puhr-Westerheide D, Reich J, Sabel BO, Kunz WG, Fabritius MP, Reidler P, Rübenthaler J, Ingrisch M, Wassilowsky D, Irlbeck M, Ricke J, Gresser E. Sequential Organ Failure Assessment Outperforms Quantitative Chest CT Imaging Parameters for Mortality Prediction in COVID-19 ARDS. Diagnostics (Basel) 2021; 12:diagnostics12010010. [PMID: 35054177 PMCID: PMC8775048 DOI: 10.3390/diagnostics12010010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 01/28/2023] Open
Abstract
(1) Background: Respiratory insufficiency with acute respiratory distress syndrome (ARDS) and multi-organ dysfunction leads to high mortality in COVID-19 patients. In times of limited intensive care unit (ICU) resources, chest CTs became an important tool for the assessment of lung involvement and for patient triage despite uncertainties about the predictive diagnostic value. This study evaluated chest CT-based imaging parameters for their potential to predict in-hospital mortality compared to clinical scores. (2) Methods: 89 COVID-19 ICU ARDS patients requiring mechanical ventilation or continuous positive airway pressure mask ventilation were included in this single center retrospective study. AI-based lung injury assessment and measurements indicating pulmonary hypertension (PA-to-AA ratio) on admission CT, oxygenation indices, lung compliance and sequential organ failure assessment (SOFA) scores on ICU admission were assessed for their diagnostic performance to predict in-hospital mortality. (3) Results: CT severity scores and PA-to-AA ratios were not significantly associated with in-hospital mortality, whereas the SOFA score showed a significant association (p < 0.001). In ROC analysis, the SOFA score resulted in an area under the curve (AUC) for in-hospital mortality of 0.74 (95%-CI 0.63–0.85), whereas CT severity scores (0.53, 95%-CI 0.40–0.67) and PA-to-AA ratios (0.46, 95%-CI 0.34–0.58) did not yield sufficient AUCs. These results were consistent for the subgroup of more critically ill patients with moderate and severe ARDS on admission (oxygenation index <200, n = 53) with an AUC for SOFA score of 0.77 (95%-CI 0.64–0.89), compared to 0.55 (95%-CI 0.39–0.72) for CT severity scores and 0.51 (95%-CI 0.35–0.67) for PA-to-AA ratios. (4) Conclusions: Severe COVID-19 disease is not limited to lung (vessel) injury but leads to a multi-organ involvement. The findings of this study suggest that risk stratification should not solely be based on chest CT parameters but needs to include multi-organ failure assessment for COVID-19 ICU ARDS patients for optimized future patient management and resource allocation.
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Affiliation(s)
- Daniel Puhr-Westerheide
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.R.); (B.O.S.); (W.G.K.); (M.P.F.); (P.R.); (J.R.); (M.I.); (J.R.); (E.G.)
- Correspondence: ; Tel.: +49-89-4400-73620
| | - Jakob Reich
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.R.); (B.O.S.); (W.G.K.); (M.P.F.); (P.R.); (J.R.); (M.I.); (J.R.); (E.G.)
| | - Bastian O. Sabel
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.R.); (B.O.S.); (W.G.K.); (M.P.F.); (P.R.); (J.R.); (M.I.); (J.R.); (E.G.)
| | - Wolfgang G. Kunz
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.R.); (B.O.S.); (W.G.K.); (M.P.F.); (P.R.); (J.R.); (M.I.); (J.R.); (E.G.)
| | - Matthias P. Fabritius
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.R.); (B.O.S.); (W.G.K.); (M.P.F.); (P.R.); (J.R.); (M.I.); (J.R.); (E.G.)
| | - Paul Reidler
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.R.); (B.O.S.); (W.G.K.); (M.P.F.); (P.R.); (J.R.); (M.I.); (J.R.); (E.G.)
| | - Johannes Rübenthaler
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.R.); (B.O.S.); (W.G.K.); (M.P.F.); (P.R.); (J.R.); (M.I.); (J.R.); (E.G.)
| | - Michael Ingrisch
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.R.); (B.O.S.); (W.G.K.); (M.P.F.); (P.R.); (J.R.); (M.I.); (J.R.); (E.G.)
| | - Dietmar Wassilowsky
- Department of Anesthesiology, University Hospital, LMU Munich, 81377 Munich, Germany; (D.W.); (M.I.)
| | - Michael Irlbeck
- Department of Anesthesiology, University Hospital, LMU Munich, 81377 Munich, Germany; (D.W.); (M.I.)
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.R.); (B.O.S.); (W.G.K.); (M.P.F.); (P.R.); (J.R.); (M.I.); (J.R.); (E.G.)
| | - Eva Gresser
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.R.); (B.O.S.); (W.G.K.); (M.P.F.); (P.R.); (J.R.); (M.I.); (J.R.); (E.G.)
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Kim SH, Mir-Bashiri S, Matthies P, Sommer W, Nörenberg D. [Integration of structured reporting into the routine radiological workflow]. Radiologe 2021; 61:1005-1013. [PMID: 34581842 PMCID: PMC8477629 DOI: 10.1007/s00117-021-00917-0] [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] [Accepted: 08/27/2021] [Indexed: 11/27/2022]
Abstract
Klinisches/methodisches Problem Strukturierte Befundung ist seit Jahren eines der meist diskutierten Themen in der Radiologie. Aktuell herrscht ein Mangel an nutzerfreundlichen Softwarelösungen, welche in die bestehende IT-Infrastruktur der Kliniken und Praxen integriert sind und effiziente Dateneingaben erlauben. Radiologische Standardverfahren Radiologische Befunde werden meist als Freitext über Spracherkennungssysteme diktiert oder per Tastatur eingegeben. Zudem werden Textbausteine für die Erstellung von Normalbefunden verwendet und bei Bedarf durch Freitextinhalte ergänzt. Methodische Innovationen Softwarebasierte Befundungssysteme können Spracherkennungssysteme mit radiologischen Befundvorlagen in Form von interaktiven Entscheidungsbäumen vereinen. Eine technische Integration in RIS(Radiologieinformationssystem)-, PACS(„picture archiving and communication system“)- und AV(„advanced visualization“)-Systeme über Programmierschnittstellen und Interoperabilitätsstandards ermöglicht effiziente Prozesse und die Generierung maschinenlesbarer Befunddaten. Leistungsfähigkeit Strukturierte, semantisch annotierte klinische Daten, die über ein strukturiertes Befundungssystem erhoben werden, stehen unmittelbar für epidemiologische Datenauswertungen und kontinuierliches KI(Künstliche Intelligenz)-Training zur Verfügung. Bewertung Der Einsatz der strukturierten Befundung in der radiologischen Routinediagnostik ist mit einer initialen Umstellungsphase verbunden. Eine erfolgreiche Implementierung setzt eine enge Verzahnung der technischen Infrastruktur mehrerer Systeme voraus. Empfehlung für die Praxis Durch die Nutzung einer hybriden, softwarebasierten Befundungslösung können radiologische Befunde mit unterschiedlichen Stufen der Struktur generiert werden. Klinische Fragestellungen oder Informationen können aus klinischen Subsystemen semiautomatisch übertragen werden, um vermeidbare Fehler zu eliminieren und die Produktivität zu erhöhen.
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Affiliation(s)
- Su Hwan Kim
- Smart Reporting GmbH, Brienner Straße 11-13, 80336, München, Deutschland
| | - Sanas Mir-Bashiri
- Smart Reporting GmbH, Brienner Straße 11-13, 80336, München, Deutschland
| | - Philipp Matthies
- Smart Reporting GmbH, Brienner Straße 11-13, 80336, München, Deutschland
| | - Wieland Sommer
- Smart Reporting GmbH, Brienner Straße 11-13, 80336, München, Deutschland
| | - Dominik Nörenberg
- Smart Reporting GmbH, Brienner Straße 11-13, 80336, München, Deutschland.
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