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Niles E, Haase DJ, Tran Q, Gerding JA, Esposito E, Dahi S, Galvagno SM, Boswell K, Rector R, Pearce R, Abdel-Wahab M, Singh A, Pirzada S, Tabatabai A, Powell EK. Triage of V-V ECMO referrals for COVID-19 respiratory failure. Artif Organs 2024; 48:665-674. [PMID: 38551363 DOI: 10.1111/aor.14723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 01/11/2024] [Accepted: 01/23/2024] [Indexed: 05/21/2024]
Abstract
BACKGROUND As the pandemic progressed, the use of extracorporeal membrane oxygenation (ECMO) for COVID-19-related acute respiratory distress syndrome increased, and patient triage and transfer to ECMO centers became important to optimize patient outcomes. Our objectives are to identify predictors of patient transfer for veno-venous extracorporeal membrane oxygenation (V-V ECMO) evaluation as well as to describe the outcomes of accepted patients. METHODS This is a single-center, retrospective analysis of V-V ECMO transfer requests for adult patients with known or suspected COVID-19 and respiratory failure from March 2020 until March 2021. Data were collected prospectively during the triage process for transfer requests as part of clinical patient care at our institution. RESULTS Of 341 referred patients, 112 (33%) were accepted for transfer to our facility, whereas 229 (67%) patients were declined for transfer. The Classification and Regression Tree analysis showed that patients' high pressure during airway pressure release ventilation (APRV) and age were the variables most significantly associated with the decision to accept or decline patients for transfer. CONCLUSIONS Our triage process enabled one-third of referred patients to be transferred for evaluation, with nearly 70% of those patients ultimately receiving ECMO support. High ventilator settings on APRV and young age were associated with acceptance for transfer. Accepted patients also had a higher incidence of adjunctive therapies (proning and paralysis) prior to transfer request, less cardiac or renal dysfunction, and a shorter duration of mechanical ventilation. Further research is warranted to investigate the outcomes of nontransferred patients.
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Affiliation(s)
- Erin Niles
- Critical Care Resuscitation Unit, R Adams Cowley Shock Trauma Center, Baltimore, Maryland, USA
| | - Daniel J Haase
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Surgery, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Quincy Tran
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - James A Gerding
- Critical Care Resuscitation Unit, R Adams Cowley Shock Trauma Center, Baltimore, Maryland, USA
| | - Emily Esposito
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Siamak Dahi
- Department of Surgery, Division of Cardiac Surgery, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Samuel M Galvagno
- Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Kimberly Boswell
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Raymond Rector
- Perfusion Services, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Robert Pearce
- University of Maryland Access Center, Linthicum Heights, Maryland, USA
| | - Maie Abdel-Wahab
- University of Maryland School of Medicine, Research Assistant Program, Baltimore, Maryland, USA
| | - Aditi Singh
- University of Maryland School of Medicine, Research Assistant Program, Baltimore, Maryland, USA
| | - Saad Pirzada
- University of Maryland School of Medicine, Research Assistant Program, Baltimore, Maryland, USA
| | - Ali Tabatabai
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Elizabeth K Powell
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Chiba Y, Goto K, Suzuki M, Horiuchi H, Hayakawa M. Impact of extracorporeal membrane oxygenation treatments on acquired von Willebrand syndrome in patients with out-of-hospital cardiac arrest: a retrospective observational study. Thromb J 2024; 22:46. [PMID: 38822325 PMCID: PMC11143620 DOI: 10.1186/s12959-024-00617-4] [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: 04/25/2024] [Accepted: 05/27/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND Von Willebrand factor (vWF) plays a crucial role in hemostasis, acting as a key factor for platelet adhesion/aggregation and as a transport protein for coagulation factor VIII. vWF is secreted as a giant multimer, and it undergoes shear stress-dependent cleavage by a specific metalloproteinase in plasma. Among vWF multimers, high-molecular-weight (large) multimers are essential for hemostasis. Acquired von Willebrand syndrome, linked to various conditions, is a hemostatic disorder due to reduced vWF activity. Extracorporeal membrane oxygenation (ECMO), utilized recently for out-of-hospital cardiac arrest patients, generates high shear stress inside the pump. This stress may induce a conformational change in vWF, enhancing cleavage by a specific metalloproteinase and thereby reducing vWF activity. However, no study has investigated the effects of ECMO on vWF-related factors in patients receiving or not receiving ECMO. This study aimed to elucidate the relationship between ECMO treatment and acquired von Willebrand syndrome-related factors in patients with out-of-hospital cardiac arrest. METHODS This study included patients with cardiogenic out-of-hospital cardiac arrest admitted to our hospital. The patients were categorized into two groups (ECMO and non-ECMO) based on the presence or absence of ECMO treatment. Plasma samples were collected from patients admitted to the emergency department (days 0-4). The vWF antigen (vWF: Ag), vWF ristocetin cofactor activity (vWF: RCo), and factor VIII activity were measured. Additionally, a large multimer of vWF was evaluated through vWF multimer analysis, utilizing western blotting to probe vWF under non-reducing conditions. RESULTS The ECMO and non-ECMO groups included 10 and 22 patients, respectively. The median ECMO treatment in the ECMO group was 64.6 h. No differences in vWF: Ag or factor VIII activity were observed between the two groups during the observation period. However, the ECMO group exhibited a decrease in large vWF multimers and vWF: RCo during ECMO. Strong correlations were observed between vWF: RCo and vWF: Ag in both groups, although the relationships were significantly different between the two groups. CONCLUSIONS ECMO treatment in patients with out-of-hospital cardiac arrest resulted in the loss of large vWF multimers and decreased vWF activity. Hence, decreased vWF activity should be considered as a cause of bleeding during ECMO management.
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Affiliation(s)
- Yuki Chiba
- Division of Medical Engineering Center, Hokkaido University Hospital, Sapporo, Japan
| | - Kota Goto
- Department of Molecular and Cellular Biology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Misako Suzuki
- Department of Molecular and Cellular Biology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hisanori Horiuchi
- Department of Molecular and Cellular Biology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Mineji Hayakawa
- Emergency and Critical Care Center, Hokkaido University Hospital, Hokkaido University Hospital, N14W5 Kita-ku, Sapporo, 060-8648, Japan.
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3
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Memon S, Drosou ME, Caroline M, Casanova E, Gnall EM. Feasibility and outcomes with subclavian vein access for crescent jugular dual lumen catheter for venovenous extracorporeal membrane oxygenation in COVID-19 related acute respiratory distress syndrome. Perfusion 2024; 39:304-309. [PMID: 36373765 PMCID: PMC9659699 DOI: 10.1177/02676591221137760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Femoral-femoral Veno-Venous ExtraCorporeal Life Support (V-V ECLS) has been associated with higher infections rates, vascular site bleeding complications, and restricted patient mobility. Jugular or bicaval dual lumen V-V ECLS conceptually overcomes some of these adverse factors, but experience has shown that jugular vein cannulation still limits mobility and has increased bleeding complications. Technique and outcomes of subclavian vein single-cannulation with Crescent jugular dual-lumen V-V ECLS is described. METHOD five patients with COVID-19 related acute respiratory distress syndrome (ARDS) underwent right subclavian vein V-V ECLS placement with the Crescent 32 French jugular dual-lumen V-V ECLS catheter. A standardized percutaneous technique was developed that allowed efficient insertion without need for any specialized imaging (i.e. transesophageal echocardiogram) and outcomes assessed. RESULTS Mean age of the five patients was 41.2 years, all obese with an average basal mass index of 45.2 kg/m2 and mean days to decannulation of 24.2 days. Outcomes discovered included; improved patient mobility allowing physical rehabilitation, no vascular access site related complications requiring surgery or endovascular intervention, and none had evidence of superior vena cava syndrome. One patient had subclavian/axillary vein thrombosis with resolution after 3 months of direct-acting oral anticoagulants, and one patient had blood cultures positive at day 37, nearing decannulation. CONCLUSION Subclavian vein access for crescent jugular dual lumen V-V ECLS catheter appears to be safe and feasible with added benefits of decreased bleeding and increased mobility over jugular or femoral-femoral access site for long term V-V ECLS support in COVID-19 related ARDS patients.
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Affiliation(s)
- Sehrish Memon
- Division of Cardiovascular Diseases
and Mechanical Circulatory Support, Lankenau Medical Center
and Lankenau Institute of Medical
Research, Wynnewood, PA, USA
| | - Maria Eleni Drosou
- Division of Cardiovascular Diseases
and Mechanical Circulatory Support, Lankenau Medical Center
and Lankenau Institute of Medical
Research, Wynnewood, PA, USA
| | - Mara Caroline
- Division of Cardiovascular Diseases
and Mechanical Circulatory Support, Lankenau Medical Center
and Lankenau Institute of Medical
Research, Wynnewood, PA, USA
| | - Elena Casanova
- Division of Cardiovascular Diseases
and Mechanical Circulatory Support, Lankenau Medical Center
and Lankenau Institute of Medical
Research, Wynnewood, PA, USA
| | - Eric M Gnall
- Division of Cardiovascular Diseases
and Mechanical Circulatory Support, Lankenau Medical Center
and Lankenau Institute of Medical
Research, Wynnewood, PA, USA
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Jiang S, Yan P, Ma Z, Liang J, Hu Y, Tang J. Outcomes of COVID-19 patients undergoing extracorporeal membrane oxygenation: A systematic review and meta-Analysis. Perfusion 2023:2676591231224645. [PMID: 38158713 DOI: 10.1177/02676591231224645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
BACKGROUND The Coronavirus Disease 2019 (COVID-19) pandemic has been ongoing for over 3 years, during which numerous clinical and experimental studies have been conducted. The objective of this systematic review and meta-analysis was to assess the survival probability and complications of COVID-19 patients receiving extracorporeal membrane oxygenation (ECMO). METHODS We searched the databases by using Population-Intervention-Comparison-Outcome-Study Design (PICOS). We conducted a search of the PubMed, Web of Science, and EMBASE databases to retrieve studies published until December 10, 2022. A random-effects meta-analysis, subgroup analysis, and assessed the studies using the Newcastle-Ottawa Scale score. The results were presented as pooled morbidity with 95% confidence intervals. RESULTS The study was conducted on 19 studies that enrolled a total of 1494 patients, and the results showed a pooled survival probability of 66.0%. The pooled morbidity for intracranial hemorrhage was 8.7%, intracranial thrombosis 7.0%, pneumothorax 9.0%, pulmonary embolism 11.0%, pulmonary hemorrhage 9.0%, heart failure 14.0%, liver failure 13.0%, renal injury 44.0%, gastrointestinal hemorrhage 6.0%, gastrointestinal ischemia 6.0% and venous thrombosis 31.0%. CONCLUSION This systematic review and meta-analysis of observational studies focused on the survival probability and complications of COVID-19 patients undergoing ECMO, which are significant in evaluating the use of ECMO in COVID-19 patients and provide a basis for further research. TRIAL REGISTRATION Our study was registered on PROSPERO with registration number CRD42022382555.
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Affiliation(s)
- Shouliang Jiang
- Department of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Ping Yan
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhongyang Ma
- Department of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Juan Liang
- Department of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Yong Hu
- Department of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
| | - Jun Tang
- Department of Pediatrics, West China Second University Hospital, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, Sichuan University, Chengdu, China
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Lee H, Song MJ, Cho YJ, Kim DJ, Hong SB, Jung SY, Lim SY. Supervised machine learning model to predict mortality in patients undergoing venovenous extracorporeal membrane oxygenation from a nationwide multicentre registry. BMJ Open Respir Res 2023; 10:e002025. [PMID: 38154913 PMCID: PMC10759084 DOI: 10.1136/bmjresp-2023-002025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 12/01/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Existing models have performed poorly when predicting mortality for patients undergoing venovenous extracorporeal membrane oxygenation (VV-ECMO). This study aimed to develop and validate a machine learning (ML)-based prediction model to predict 90-day mortality in patients undergoing VV-ECMO. METHODS This study included 368 patients with acute respiratory failure undergoing VV-ECMO from 16 tertiary hospitals across South Korea between 2012 and 2015. The primary outcome was the 90-day mortality after ECMO initiation. The inputs included all available features (n=51) and those from the electronic health record (EHR) systems without preprocessing (n=40). The discriminatory strengths of ML models were evaluated in both internal and external validation sets. The models were compared with conventional models, such as respiratory ECMO survival prediction (RESP) and predicting death for severe acute respiratory distress syndrome on VV-ECMO (PRESERVE). RESULTS Extreme gradient boosting (XGB) (areas under the receiver operating characteristic curve, AUROC 0.82, 95% CI (0.73 to 0.89)) and light gradient boosting (AUROC 0.81 (95% CI 0.71 to 0.88)) models achieved the highest performance using EHR's and all other available features. The developed models had higher AUROCs (95% CI 0.76 to 0.82) than those of RESP (AUROC 0.66 (95% CI 0.56 to 0.76)) and PRESERVE (AUROC 0.71 (95% CI 0.61 to 0.81)). Additionally, we achieved an AUROC (0.75) for 90-day mortality in external validation in the case of the XGB model, which was higher than that of RESP (0.70) and PRESERVE (0.67) in the same validation dataset. CONCLUSIONS ML prediction models outperformed previous mortality risk models. This model may be used to identify patients who are unlikely to benefit from VV-ECMO therapy during patient selection.
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Affiliation(s)
- Haeun Lee
- Department of Digital Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Myung Jin Song
- Devision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Young-Jae Cho
- Devision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Dong Jung Kim
- Department of Cardiovascular and Thoracic Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Sang-Bum Hong
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Se Young Jung
- Department of Digital Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Sung Yoon Lim
- Devision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
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Powell EK, Lankford AS, Ghneim M, Rabin J, Haase DJ, Dahi S, Deatrick KB, Krause E, Bittle G, Galvagno SM, Scalea T, Tabatabai A. Decreased PRESET-Score corresponds with improved survival in COVID-19 veno-venous extracorporeal membrane oxygenation. Perfusion 2023; 38:1623-1630. [PMID: 36114156 PMCID: PMC9482881 DOI: 10.1177/02676591221128237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION The PREdiction of Survival on ECMO Therapy Score (PRESET-Score) predicts mortality while on veno-venous extracorporeal membrane oxygenation (VV ECMO) for acute respiratory distress syndrome. The aim of our study was to assess the association between PRESET-Score and survival in a large COVID-19 VV ECMO cohort. METHODS This was a single-center retrospective study of COVID-19 VV ECMO patients from 15 March 2020, to 30 November 2021. Univariable and Multivariable analyses were performed to assess patient survival and score differences. RESULTS A total of 105 patients were included in our analysis with a mean PRESET-Score of 6.74. Overall survival was 65.71%. The mean PRESET-Score was significantly lower in the survivor group (6.03 vs 8.11, p < 0.001). Patients with a PRESET-Score less than or equal to six had improved survival compared to those with a PRESET-Score greater than or equal to 8 (97.7% vs. 32.5%, p < 0.001). In a multivariable logistic regression, a lower PRESET-Score was also predictive of survival (OR 2.84, 95% CI 1.75, 4.63, p < 0.001). CONCLUSION We demonstrate that lower PRESET scores are associated with improved survival. The utilization of this validated, quantifiable, and objective scoring system to help identify COVID-19 patients with the greatest potential to benefit from VV-ECMO appears feasible. The incorporation of the PRESET-Score into institutional ECMO candidacy guidelines can help insure and improve access of this limited healthcare resource to all critically ill patients.
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Affiliation(s)
- Elizabeth K Powell
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Allison S Lankford
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Obstetrics Gynecology and Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mira Ghneim
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joseph Rabin
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Daniel J Haase
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Siamak Dahi
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kristopher B Deatrick
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Eric Krause
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Gregory Bittle
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Samuel M Galvagno
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Thomas Scalea
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ali Tabatabai
- Program in Trauma, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
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Dietrich F, Wischermann JM, Deitenbeck R, Frey UH. [COVID-19 ECMO with rarity value: when blood group "0" becomes a problem]. DIE ANAESTHESIOLOGIE 2023; 72:719-722. [PMID: 37656193 PMCID: PMC10550874 DOI: 10.1007/s00101-023-01325-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/14/2023] [Accepted: 06/19/2023] [Indexed: 09/02/2023]
Affiliation(s)
- F Dietrich
- Klinik für Anästhesiologie, operative Intensivmedizin, Schmerz- und Palliativmedizin, Marienhospital Herne, Universitätsklinikum der Ruhr-Universität Bochum, Hölkeskampring 40, 44625, Herne, Deutschland.
| | - J M Wischermann
- Klinik für Anästhesiologie, operative Intensivmedizin, Schmerz- und Palliativmedizin, Marienhospital Herne, Universitätsklinikum der Ruhr-Universität Bochum, Hölkeskampring 40, 44625, Herne, Deutschland
| | | | - U H Frey
- Klinik für Anästhesiologie, operative Intensivmedizin, Schmerz- und Palliativmedizin, Marienhospital Herne, Universitätsklinikum der Ruhr-Universität Bochum, Hölkeskampring 40, 44625, Herne, Deutschland
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Sigala MI, Dreucean D, Harris JE, Donahue KR, Bostan F, Voore P, Cuevas J, Morton C. Comparison of Sedation and Analgesia Requirements in Patients With SARS-CoV-2 Versus Non-SARS-CoV-2 Acute Respiratory Distress Syndrome on Veno-Venous ECMO. Ann Pharmacother 2023; 57:1005-1015. [PMID: 36639872 PMCID: PMC9841200 DOI: 10.1177/10600280221147695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Increased analgosedation requirements have been described in patients with acute respiratory distress syndrome (ARDS) on extracorporeal membrane oxygenation (ECMO) support due to unique pharmacokinetic challenges. There is a paucity of data comparing sedation requirements in patients on ECMO for ARDS secondary to SARS-CoV-2 versus other etiologies of respiratory failure. OBJECTIVE To compare sedation and analgesia requirements in adult patients with SARS-CoV-2 versus non-SARS-CoV-2 ARDS requiring veno-venous (VV) ECMO support. METHODS We performed a retrospective cohort study of adult patients receiving sedation and analgesia on VV-ECMO support. Patients were excluded if cannulated at an outside hospital for greater than 24 hours, expired within 48 hours of ECMO cannulation, or received neuromuscular blocking agents for greater than 7 consecutive days following ECMO cannulation. RESULTS We evaluated 108 patients on VV-ECMO support, including 44 with non-SARS-CoV-2 ARDS and 64 with SARS-CoV-2 ARDS. The median daily dexmedetomidine requirements were significantly higher in the SARS-CoV-2 cohort (16.7 vs 13.4 mcg/kg/day, P = 0.03), while the median propofol daily requirements were significantly higher in the non-SARS-CoV-2 cohort (40.3 vs 53.5 mg/kg/day, P < 0.01). There was no difference in daily requirements of opioids, benzodiazepines, and ketamine between groups. Use of adjunct agents to facilitate weaning was significantly higher in the SARS-CoV-2 cohort (78.1% vs 43.2%, P < 0.01). CONCLUSION AND RELEVANCE Patients with ARDS on VV-ECMO support require multiple analgosedative agents with concomitant use of nonparenteral adjunct agents. Further studies are needed to evaluate optimal analgosedation strategies in patients on ECMO support.
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Affiliation(s)
- Mariah I. Sigala
- Department of Pharmacy, Houston
Methodist Hospital, Houston, TX, USA
| | - Diane Dreucean
- Department of Pharmacy, Houston
Methodist Hospital, Houston, TX, USA
| | - Jesse E. Harris
- Department of Pharmacy, Houston
Methodist Hospital, Houston, TX, USA
| | - Kevin R. Donahue
- Department of Pharmacy, Houston
Methodist Hospital, Houston, TX, USA
| | - Fariedeh Bostan
- Department of Pharmacy, Houston
Methodist Hospital, Houston, TX, USA
| | - Prakruthi Voore
- Department of Pharmacy, Houston
Methodist Hospital, Houston, TX, USA
| | - Jose Cuevas
- Department of Pharmacy, Houston
Methodist Hospital, Houston, TX, USA
| | - Celia Morton
- Department of Pharmacy, Houston
Methodist Hospital, Houston, TX, USA
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9
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Zhai K, Xu X, Zhang P, Wei S, Li J, Wu X, Gao B, Zhang Y, Li Y. Venovenous extracorporeal membrane oxygenation for coronavirus disease 2019 patients: A systematic review and meta-analysis. Perfusion 2023; 38:1107-1122. [PMID: 35608047 DOI: 10.1177/02676591221104302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVE Although the application of venovenous extracorporeal membrane oxygenation (VV-ECMO) in coronavirus disease 2019 (COVID-19) patients with acute respiratory distress syndrome (ARDS) is accumulating, the feasibility and safety of this therapy remain controversial. We aimed to evaluate the effect of VV-ECMO in the treatment of these patients. METHODS A comprehensive literature search was performed using PubMed, Embase, the Cochrane Library, and International Clinical Trials Registry Platform databases through November 2021. According to the inclusion and exclusion criteria, the included studies were screened, and meta-analysis was performed by R software (version 4.0.2). RESULTS Forty-two studies including 2037 COVID-19 patients supported with VV-ECMO due to ARDS were identified. The pooled analysis revealed that 30-, 60-, and 90-day mortality among patients were respectively 46% (95% CI 37%-57%, I2 = 66%), 46% (95% CI 30%-70%, I2 = 93%), and 49% (95% CI 43%-58%, I2 = 52%), and the pooled incidence rate of in-hospital mortality, major bleeding, hemorrhagic stroke, thrombosis, pulmonary embolism, deep venous thrombosis, and renal replacement therapy were respectively 35%, 39%, 11%, 40%, 15%, 21%, and 44%. CONCLUSION Although COVID-19 patients may have a higher risk of bleeding, hemorrhagic stroke, and acute kidney injury during ECMO therapy, the survival rate was more than half of the cases. Our data may support the application of VV-ECMO in COVID-19 patients.
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Affiliation(s)
- Kerong Zhai
- Department of Cardiac Surgery, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
- Laboratory of Extracorporeal Life Support, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
| | - Xu Xu
- Department of Anesthesiology, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
| | - Pengbin Zhang
- Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Shilin Wei
- Department of Cardiac Surgery, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
- Laboratory of Extracorporeal Life Support, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
| | - Jian Li
- Laboratory of Extracorporeal Life Support, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
| | - Xiangyang Wu
- Department of Cardiac Surgery, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
| | - Bingren Gao
- Department of Cardiac Surgery, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
| | - Yanhua Zhang
- Department of Cardiac Surgery, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
| | - Yongnan Li
- Department of Cardiac Surgery, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
- Laboratory of Extracorporeal Life Support, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
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10
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Gharib KE, Narasimhan M. Venovenous extracorporeal membrane oxygenation in COVID-19-related acute respiratory distress syndrome : What's the catch? Clin Med (Lond) 2023; 23:427-428. [PMID: 38614663 PMCID: PMC10541032 DOI: 10.7861/clinmed.2023-0149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2023]
Abstract
COVID-19 is still around, and in the most severe cases can rapidly progress to acute respiratory distress syndrome. When mechanical ventilation fails to improve oxygenation, we desperately shift our management to venovenous extracorporeal membrane oxygenation (vv-ECMO). In this opinion article, we discuss which patients are the most suitable to select for this technique, reiterate previous observations in acute respiratory distress syndrome, and the options for the patients judged not fitting for ECMO.
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Affiliation(s)
- Khalil El Gharib
- Department of Medicine, Northwell Health Staten Island University Hospital, New York, USA.
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11
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Huespe IA, Lockhart C, Kashyap R, Palizas F, Colombo M, Romero MDP, Prado E, Casabella García CA, Las Heras M, Carboni Bisso I. Evaluation of the discrimination and calibration of predictive scores of mortality in ECMO for patients with COVID-19. Artif Organs 2023; 47:1007-1017. [PMID: 36582133 PMCID: PMC9880702 DOI: 10.1111/aor.14493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 11/28/2022] [Accepted: 12/22/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND The criteria for the selection of COVID-19 patients that could benefit most from ECMO organ support are yet to be defined. In this study, we evaluated the predictive performance of ECMO mortality predictive models in patients with COVID-19. We also performed a cost-benefit analysis depending on the mortality predicted probability. We conducted a retrospective cohort study in COVID-19 patients who received ECMO at two tertiary care hospitals between March 2020 to July 2021. MATERIALS AND METHODS We evaluated the discrimination (C-statistic), calibration (Cox calibration), and accuracy of the prediction of death due to severe ARDS in V-V ECMO score (PRESERVE), the Respiratory Extracorporeal Membrane Oxygenation Survival Score (RESP) score, and the PREdiction of Survival on ECMO Therapy-Score (PRESET) score. In addition, we compared the RESP score with Plateau pressure instead of Peak pressure. RESULTS We included a total of 36 patients, 29 (80%) of them male and with a median (IQR) APACHE of 10 (8-15). The PRESET score had the highest discrimination (AUROCs 0.81 [95%CI 0.67-0.94]) and calibration (calibration-in-the-large 0.5 [95%CI -1.4 to 0.3]; calibration slope 2.2 [95%CI 0.7/3.7]). The RESP score with Plateau pressure had higher discrimination than the conventional RESP score. The cost per QALY in the USA, adjusted to life expectancy, was higher than USD 100 000 in patients older than 45 years with a PRESET > 10. CONCLUSION The PRESET score had the highest predictive performance and could help in the selection of patients that benefit most from this resource-demanding and highly invasive organ support.
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Affiliation(s)
- Ivan Alfredo Huespe
- Unidad de Terapia Intensiva Adultos, Hospital Italiano de Buenos AiresBuenos AiresArgentina
- Área de investigación en medicina InternaHospital Italiano de Buenos AiresBuenos AiresArgentina
- Universidad de Buenos AiresBuenos AiresArgentina
- Global Clinical Scholars Research TraineeHarvard Medical SchoolBostonMassachusettsUSA
| | - Carolina Lockhart
- Unidad de Terapia Intensiva Adultos, Hospital Italiano de Buenos AiresBuenos AiresArgentina
| | - Rahul Kashyap
- Global Clinical Scholars Research TraineeHarvard Medical SchoolBostonMassachusettsUSA
- Department of Anesthesiology and Perioperative MedicineMayo ClinicRochesterMinnesotaUSA
- Department of ResearchWellSpan HealthYorkPennsylvaniaUSA
| | - Fernando Palizas
- Unidad de Terapia Intensiva Adultos, Clínica BazterricaBuenos AiresArgentina
| | - Malena Colombo
- Instituto Universitario del Hospital ItalianoBuenos AiresArgentina
| | | | - Eduardo Prado
- Unidad de Terapia Intensiva Adultos, Hospital Italiano de Buenos AiresBuenos AiresArgentina
| | | | - Marcos Las Heras
- Unidad de Terapia Intensiva Adultos, Hospital Italiano de Buenos AiresBuenos AiresArgentina
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12
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Rostami M, Mansouritorghabeh H. Significance of heparin induced thrombocytopenia (HIT) in COVID-19: a systematic review and meta-analysis. J Thromb Thrombolysis 2023:10.1007/s11239-023-02827-5. [PMID: 37219826 DOI: 10.1007/s11239-023-02827-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/30/2023] [Indexed: 05/24/2023]
Abstract
Heparin-induced thrombocytopenia (HIT) occurs in approximately 3% of patients receiving heparinoids. About 30-75% of patients with type 2 of HIT develop thrombosis as a result of platelet activation. The most important clinical symptom is thrombocytopenia. Patients with severe COVID-19 are among those receiving heparinoids. This meta-analysis performed to picture the current knowledge and results of published studies in this field. Three search engines were searched and 575 papers were found. After evaluation, 37 articles were finally selected of which 13 studies were quantitatively analyzed. The pooled frequency rate of suspected cases with HIT in 13 studies with 11,241 patients was 1.7%. The frequency of HIT was 8.2% in the extracorporeal membrane oxygenation subgroup with 268 patients and 0.8% in the hospitalization subgroup with 10,887 patients. The coincidence of these two conditions may increase the risk of thrombosis. Of the 37 patients with COVID-19 and confirmed HIT, 30 patients (81%) were treated in the intensive care unit or had severe COVID-19. The most commonly used anticoagulants were UFH in 22 cases (59.4%). The median platelet count before treatment was 237 (176-290) x 103/µl and the median nadir platelet count was 52 (31-90.5) x 103/µl.
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Affiliation(s)
- Mehrdad Rostami
- MSc of Hematology & Blood Banking, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hassan Mansouritorghabeh
- Central Diagnostic laboratories, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran., Ghaem Hospital, Mashhad University of Medical Sciences, P.O. Box: 91766-99199, Mashhad, Iran.
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13
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Xue B, Shah N, Yang H, Kannampallil T, Payne PRO, Lu C, Said AS. Multi-horizon predictive models for guiding extracorporeal resource allocation in critically ill COVID-19 patients. J Am Med Inform Assoc 2023; 30:656-667. [PMID: 36575995 PMCID: PMC10018267 DOI: 10.1093/jamia/ocac256] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 12/07/2022] [Accepted: 12/27/2022] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE Extracorporeal membrane oxygenation (ECMO) resource allocation tools are currently lacking. We developed machine learning (ML) models for predicting COVID-19 patients at risk of receiving ECMO to guide patient triage and resource allocation. MATERIAL AND METHODS We included COVID-19 patients admitted to intensive care units for >24 h from March 2020 to October 2021, divided into training and testing development and testing-only holdout cohorts. We developed ECMO deployment timely prediction model ForecastECMO using Gradient Boosting Tree (GBT), with pre-ECMO prediction horizons from 0 to 48 h, compared to PaO2/FiO2 ratio, Sequential Organ Failure Assessment score, PREdiction of Survival on ECMO Therapy score, logistic regression, and 30 pre-selected clinical variables GBT Clinical GBT models, with area under the receiver operator curve (AUROC) and precision recall curve (AUPRC) metrics. RESULTS ECMO prevalence was 2.89% and 1.73% in development and holdout cohorts. ForecastECMO had the best performance in both cohorts. At the 18-h prediction horizon, a potentially clinically actionable pre-ECMO window, ForecastECMO, had the highest AUROC (0.94 and 0.95) and AUPRC (0.54 and 0.37) in development and holdout cohorts in identifying ECMO patients without data 18 h prior to ECMO. DISCUSSION AND CONCLUSIONS We developed a multi-horizon model, ForecastECMO, with high performance in identifying patients receiving ECMO at various prediction horizons. This model has potential to be used as early alert tool to guide ECMO resource allocation for COVID-19 patients. Future prospective multicenter validation would provide evidence for generalizability and real-world application of such models to improve patient outcomes.
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Affiliation(s)
- Bing Xue
- Department of Computer Science & Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Neel Shah
- Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Hanqing Yang
- Department of Computer Science & Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Thomas Kannampallil
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, Missouri, USA
- Institute of Informatics, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Philip Richard Orrin Payne
- Institute of Informatics, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Chenyang Lu
- Department of Computer Science & Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Ahmed Sameh Said
- Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri, USA
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14
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Tran A, Fernando SM, Rochwerg B, Barbaro RP, Hodgson CL, Munshi L, MacLaren G, Ramanathan K, Hough CL, Brochard LJ, Rowan KM, Ferguson ND, Combes A, Slutsky AS, Fan E, Brodie D. Prognostic factors associated with mortality among patients receiving venovenous extracorporeal membrane oxygenation for COVID-19: a systematic review and meta-analysis. THE LANCET. RESPIRATORY MEDICINE 2023; 11:235-244. [PMID: 36228638 PMCID: PMC9766207 DOI: 10.1016/s2213-2600(22)00296-x] [Citation(s) in RCA: 38] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/29/2022] [Accepted: 08/01/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Venovenous extracorporeal membrane oxygenation (ECMO) can be considered for patients with COVID-19-associated acute respiratory distress syndrome (ARDS) who continue to deteriorate despite evidence-based therapies and lung-protective ventilation. The Extracorporeal Life Support Organization has emphasised the importance of patient selection; however, to better inform these decisions, a comprehensive and evidence-based understanding of the risk factors associated with poor outcomes is necessary. We aimed to summarise the association between pre-cannulation prognostic factors and risk of mortality in adult patients requiring venovenous ECMO for the treatment of COVID-19. METHODS In this systematic review and meta-analysis, we searched MEDLINE and Embase from Dec 1, 2019, to April 14, 2022, for randomised controlled trials and observational studies involving adult patients who required ECMO for COVID-19-associated ARDS and for whom pre-cannulation prognostic factors associated with in-hospital mortality were evaluated. We conducted separate meta-analyses of unadjusted and adjusted odds ratios (uORs), adjusted hazard ratios (aHRs), and mean differences, and excluded studies if these data could not be extracted. We assessed the risk of bias using the Quality in Prognosis Studies tool and certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation approach. Our protocol was registered with the Open Science Framework registry, osf.io/6gcy2. FINDINGS Our search identified 2888 studies, of which 42 observational cohort studies involving 17 449 patients were included. Factors that had moderate or high certainty of association with increased mortality included patient factors, such as older age (adjusted hazard ratio [aHR] 2·27 [95% CI 1·63-3·16]), male sex (unadjusted odds ratio [uOR] 1·34 [1·20-1·49]), and chronic lung disease (aHR 1·55 [1·20-2·00]); pre-cannulation disease factors, such as longer duration of symptoms (mean difference 1·51 days [95% CI 0·36-2·65]), longer duration of invasive mechanical ventilation (uOR 1·94 [1·40-2·67]), higher partial pressure of arterial carbon dioxide (mean difference 4·04 mm Hg [1·64-6·44]), and higher driving pressure (aHR 2·36 [1·40-3·97]); and centre factors, such as less previous experience with ECMO (aOR 2·27 [1·28-4·05]. INTERPRETATION The prognostic factors identified highlight the importance of patient selection, the effect of injurious lung ventilation, and the potential opportunity for greater centralisation and collaboration in the use of ECMO for the treatment of COVID-19-associated ARDS. These factors should be carefully considered as part of a risk stratification framework when evaluating a patient for potential treatment with venovenous ECMO. FUNDING None.
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Affiliation(s)
- Alexandre Tran
- Department of Medicine, Division of Critical Care, University of Ottawa, Ottawa, ON, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada; Department of Surgery, University of Ottawa, Ottawa, ON, Canada.
| | - Shannon M Fernando
- Department of Medicine, Division of Critical Care, University of Ottawa, Ottawa, ON, Canada; Department of Critical Care, Lakeridge Health Corporation, Oshawa, ON, Canada
| | - Bram Rochwerg
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada; Department of Medicine, Division of Critical Care, McMaster University, Hamilton, ON, Canada
| | - Ryan P Barbaro
- Division of Pediatric Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Carol L Hodgson
- Department of Epidemiology and Preventative Medicine, Australian and New Zealand Intensive Care-Research Centre, Monash University, Melbourne, VIC, Australia
| | - Laveena Munshi
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Graeme MacLaren
- Cardiothoracic Intensive Care Unit, National University Heart Centre, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kollengode Ramanathan
- Cardiothoracic Intensive Care Unit, National University Heart Centre, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Catherine L Hough
- Division of Pulmonary and Critical Care Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Laurent J Brochard
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
| | - Kathryn M Rowan
- Intensive Care National Audit and Research Centre, London, UK
| | - Niall D Ferguson
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Alain Combes
- Institute of Cardiometabolism and Nutrition, Sorbonne Université, INSERM Unite Mixte de Recherche (UMRS) 1166, Paris, France; Service de Médecine Intensive-Réanimation, Institut de Cardiologie, Assistance Publique-Hôpitaux de Paris (APHP), Hôpital Pitié-Salpêtrière, Paris, France
| | - Arthur S Slutsky
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
| | - Eddy Fan
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Daniel Brodie
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA; Center for Acute Respiratory Failure, New York-Presbyterian Hospital, New York, NY, USA
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15
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Siddiqui S, Lutz G, Tabatabai A, Nathan R, Anders M, Gibbons M, Russo M, Whitehead S, Rock P, Scalea T, Kheirbek RE. Early Guided Palliative Care Communication for Patients With COVID-19 Receiving ECMO. Am J Crit Care 2023; 32:166-174. [PMID: 36775881 DOI: 10.4037/ajcc2023184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
BACKGROUND Extracorporeal membrane oxygenation (ECMO) combined with COVID-19 presents challenges (eg, isolation, anticipatory grief) for patients and families. OBJECTIVE To (1) describe characteristics and outcomes of patients with COVID-19 receiving ECMO, (2) develop a practice improvement strategy to implement early, semistructured palliative care communication in ECMO acknowledgment meetings with patients' families, and (3) examine family members' experiences as recorded in clinicians' notes during these meetings. METHODS Descriptive observation of guided, in-depth meetings with families of patients with COVID-19 receiving ECMO, as gathered from the electronic medical record of a large urban academic medical center. Most meetings were held within 3 days of initiation of ECMO. RESULTS Forty-three patients received ECMO between March and October 2020. The mean patient age was 44 years; 63% of patients were Hispanic/Latino, 19% were Black, and 7% were White. Documentation of the ECMO acknowledgment meeting was completed for 60% of patients. Fifty-six percent of patients survived to hospital discharge. Family discussions revealed 7 common themes: hope, reliance on faith, multiple family members with COVID-19, helping children adjust to a new normal, visitation restrictions, gratitude for clinicians and care, and end-of-life discussions. CONCLUSION Early and ongoing provision of palliative care is feasible and useful for highlighting a range of experiences related to COVID-19. Palliative care is also useful for educating patients and families on the benefits and limitations of ECMO therapy.
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Affiliation(s)
- Safanah Siddiqui
- Safanah Siddiqui is a fellow, Department of Medicine, Division of Cardiology, Medical University of South Carolina, Charleston
| | - Gabriel Lutz
- Gabriel Lutz is an assistant professor, Department of Medicine, Division of Palliative Medicine, University of Maryland School of Medicine, Baltimore
| | - Ali Tabatabai
- Ali Tabatabai is an adjunct associate professor, Department of Medicine, Division of Education, University of Maryland School of Medicine
| | - Rachel Nathan
- Rachel Nathan is an assistant professor, Department of Medicine, Division of Palliative Medicine, University of Maryland School of Medicine
| | - Megan Anders
- Megan Anders is an associate professor, Department of Anesthesiology, University of Maryland School of Medicine
| | - Miranda Gibbons
- Miranda Gibbons is a clinical systems analyst, Department of Anesthesiology, University of Maryland School of Medicine
| | - Marguerite Russo
- Marguerite Russo is a nurse practitioner, University of Maryland Medical Center, and an adjunct associate professor, University of Maryland School of Nursing, Baltimore
| | - Sarah Whitehead
- Sarah Whitehead is a nurse practitioner, University of Maryland Medical Center
| | - Peter Rock
- Peter Rock is a professor, Department of Anesthesiology, University of Maryland School of Medicine
| | - Thomas Scalea
- Thomas Scalea is a professor, Department of Surgery, University of Maryland School of Medicine, and director of the R. Adams Cowley Shock Trauma Center, Baltimore
| | - Raya E Kheirbek
- Raya E. Kheirbek is a professor, Department of Medicine, Division of Palliative Medicine, University of Maryland School of Medicine
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16
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Time From Infiltrate on Chest Radiograph to Venovenous Extracorporeal Membrane Oxygenation in COVID-19 Affects Mortality. ASAIO J 2023; 69:23-30. [PMID: 36007188 PMCID: PMC9797122 DOI: 10.1097/mat.0000000000001789] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Venovenous extracorporeal membrane oxygenation (VV ECMO) has been used to treat severe coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome; however, patient selection criteria have evolved throughout the pandemic. In this study, we sought to determine the association of patient mortality with time from positive COVID-19 test and infiltrate on chest radiograph (x-ray) to VV ECMO cannulation. We hypothesized that an increasing duration between a positive COVID-19 test or infiltrates on chest x-ray and cannulation would be associated with increased mortality. This is a single-center retrospective chart review of COVID-19 VV ECMO patients from March 1, 2020 to July 28, 2021. Unadjusted and adjusted multivariate analyses were performed to assess for mortality differences. A total of 93 patients were included in our study. Increased time, in days, from infiltrate on chest x-ray to cannulation was associated with increased mortality in both unadjusted (5-9, P = 0.002) and adjusted regression analyses (odds ratio [OR]: 1.49, 95% CI: 1.22-1.81, P < 0.01). Time from positive test to cannulation was not found to be significant between survivors and nonsurvivors (7.5-11, P = 0.06). Time from infiltrate on chest x-ray to cannulation for VV ECMO should be considered when assessing patient candidacy. Further larger cohort and prospective studies are required.
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17
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Ling RR, Ramanathan K, Sim JJL, Wong SN, Chen Y, Amin F, Fernando SM, Rochwerg B, Fan E, Barbaro RP, MacLaren G, Shekar K, Brodie D. Evolving outcomes of extracorporeal membrane oxygenation during the first 2 years of the COVID-19 pandemic: a systematic review and meta-analysis. Crit Care 2022; 26:147. [PMID: 35606884 PMCID: PMC9125014 DOI: 10.1186/s13054-022-04011-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/06/2022] [Indexed: 12/15/2022] Open
Abstract
Background Extracorporeal membrane oxygenation (ECMO) has been used extensively for coronavirus disease 2019 (COVID-19)-related acute respiratory distress syndrome (ARDS). Reports early in the pandemic suggested that mortality in patients with COVID-19 receiving ECMO was comparable to non-COVID-19-related ARDS. However, subsequent reports suggested that mortality appeared to be increasing over time. Therefore, we conducted an updated systematic review and meta-analysis, to characterise changes in mortality over time and elucidate risk factors for poor outcomes.
Methods We conducted a meta-analysis (CRD42021271202), searching MEDLINE, Embase, Cochrane, and Scopus databases, from 1 December 2019 to 26 January 2022, for studies reporting on mortality among adults with COVID-19 receiving ECMO. We also captured hospital and intensive care unit lengths of stay, duration of mechanical ventilation and ECMO, as well as complications of ECMO. We conducted random-effects meta-analyses, assessed risk of bias of included studies using the Joanna Briggs Institute checklist and evaluated certainty of pooled estimates using GRADE methodology.
Results Of 4522 citations, we included 52 studies comprising 18,211 patients in the meta-analysis. The pooled mortality rate among patients with COVID-19 requiring ECMO was 48.8% (95% confidence interval 44.8–52.9%, high certainty). Mortality was higher among studies which enrolled patients later in the pandemic as opposed to earlier (1st half 2020: 41.2%, 2nd half 2020: 46.4%, 1st half 2021: 62.0%, 2nd half 2021: 46.5%, interaction p value = 0.0014). Predictors of increased mortality included age, the time of final patient enrolment from 1 January 2020, and the proportion of patients receiving corticosteroids, and reduced duration of ECMO run. Conclusions The mortality rate for patients receiving ECMO for COVID-19-related ARDS has increased as the pandemic has progressed. The reasons for this are likely multifactorial; however, as outcomes for these patients evolve, the decision to initiate ECMO should include the best contextual estimate of mortality at the time of ECMO initiation. Supplementary Information The online version contains supplementary material available at 10.1186/s13054-022-04011-2.
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Affiliation(s)
- Ryan Ruiyang Ling
- Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
| | - Kollengode Ramanathan
- Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore. .,Cardiothoracic Intensive Care Unit, National University Heart Centre, National University Hospital, National University Health System, Level 9, 1E Kent Ridge Road, Singapore, Singapore, 119228.
| | - Jackie Jia Lin Sim
- Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
| | - Suei Nee Wong
- Medical Resource Team, National University of Singapore Libraries, Singapore, Singapore
| | - Ying Chen
- Agency for Science, Technology and Research, Singapore, Singapore
| | - Faizan Amin
- Department of Medicine, Division of Critical Care, McMaster University, Hamilton, ON, Canada
| | - Shannon M Fernando
- Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Bram Rochwerg
- Department of Medicine, Division of Critical Care, McMaster University, Hamilton, ON, Canada.,Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Eddy Fan
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
| | - Ryan P Barbaro
- Division of Paediatrics Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.,Child Health Evaluation and Research Center, University of Michigan, Ann Arbor, MI, USA
| | - Graeme MacLaren
- Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore.,Cardiothoracic Intensive Care Unit, National University Heart Centre, National University Hospital, National University Health System, Level 9, 1E Kent Ridge Road, Singapore, Singapore, 119228
| | - Kiran Shekar
- Adult Intensive Care Services, Prince Charles Hospital, Brisbane, QLD, Australia.,Queensland University of Technology, Brisbane, Australia.,University of Queensland, Brisbane and Bond University, Gold Coast, QLD, Australia
| | - Daniel Brodie
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.,Center for Acute Respiratory Failure, New York-Presbyterian Hospital, New York, NY, USA
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18
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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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19
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Lehle K, Philipp A, Foltan M, Schettler F, Ritzka M, Müller T, Lubnow M. Coagulation abnormalities in patients with COVID-19 on venovenous ECLS increased risk for technical complications and support times but had no impact on survival. Artif Organs 2022; 46:1669-1681. [PMID: 35192198 PMCID: PMC9111222 DOI: 10.1111/aor.14218] [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: 01/13/2022] [Revised: 02/07/2022] [Accepted: 02/16/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Patients with severe coronavirus disease-19 (COVID-19)-associated acute respiratory distress on venovenous extracorporeal lung support (V-V ECLS) showed high incidence of vascular as well as ECLS-related thrombotic complications. The latter may influence the outcome of the patients. METHODS This is a retrospective monocentric study on prospectively collected data of technical complications including 69 adult COVID-19 patients on V-V ECLS (ECLS Registry, March 2020 until April 2021) without and with system exchanges. Alterations in ECLS-specific data, hemolysis, coagulation and hemostasis parameters were analyzed. RESULTS Every second COVID-19 patient on V-V ECLS developed technical complications. Optimized ECLS management at our ECLS center reduced cases of acute clot formation (pump head thrombosis, acute oxygenator thrombosis) (17%), and allowed early identification of progressive clotting processes (worsened gas transfer, coagulation disorder) (14%, 54%) with a significant overhang of hyperfibrinolysis (37%). Although COVID-19 disease and technical complications caused prolonged length of stay at the intensive care unit and ECLS support times, the proportion of successful weaning and survival rates were comparable with patients without system exchange. CONCLUSION The survival of ECLS patients with COVID-19 was independent of the requirement for system exchange due to technical-induced coagulation disorders. Close monitoring for circuit clotting is mandatory in COVID-19 patients and is one prerequisite for successful organ support in these difficult patients.
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Affiliation(s)
- Karla Lehle
- Department of Cardiothoracic Surgery, University Hospital Regensburg, Regensburg, Germany
| | - Alois Philipp
- Department of Cardiothoracic Surgery, University Hospital Regensburg, Regensburg, Germany
| | - Maik Foltan
- Department of Cardiothoracic Surgery, University Hospital Regensburg, Regensburg, Germany
| | - Frank Schettler
- Department of Cardiothoracic Surgery, University Hospital Regensburg, Regensburg, Germany
| | - Markus Ritzka
- Department of Anesthesiology, University Hospital Regensburg, Regensburg, Germany
| | - Thomas Müller
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Matthias Lubnow
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
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Castaño M, Sbraga F, de la Sota EP, Arribas JM, Luisa Cámara M, Voces R, Donado A, Sandoval E, Morales CA, González-Santos JM, Barquero-Alemán M, Feliu DFS, Rodríguez-Roda J, Molina D, Bellido A, Vigil-Escalera C, Ángeles Tena M, Reyes G, Gómez F, Rivas J, Guevara A, Tauron M, Miguel Borrego J, Castillo L, Miralles A, Cánovas S, Berastegui E, Aramendi JI, Aldámiz G, Pruna R, Silva J, de Ibarra JIS, Legarra JJ, Ballester C, Rodríguez-Lecoq R, Daroca T, Paredes F. Oxigenación con membrana extracorpórea en el paciente COVID-19: resultados del Registro Español ECMO-COVID de la Sociedad Española de Cirugía Cardiovascular y Endovascular (SECCE). CIRUGIA CARDIOVASCULAR 2022. [PMCID: PMC8806126 DOI: 10.1016/j.circv.2022.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Introducción y objetivos La oxigenación con membrana extracorpórea (ECMO) ha resultado ser una opción terapéutica en los pacientes con insuficiencia respiratoria o cardiaca severa por COVID-19. Las indicaciones y manejo de estos pacientes están aún por determinar. Nuestro objetivo es evaluar los resultados de la terapia ECMO en pacientes con COVID-19 incluidos en un registro prospectivo e intentar optimizar los resultados. Métodos En marzo de 2020 se inició un registro multicéntrico anónimo prospectivo de pacientes con COVID-19 tratados mediante ECMO veno-arterial (V-A) o veno-venosa (V-V). Se registraron las variables clínicas, analíticas y respiratorias preimplante, datos de implante y evolución de la terapia. El evento primario fue la mortalidad hospitalaria de cualquier causa y los eventos secundarios fueron la recuperación funcional y el evento combinado de recuperación funcional y mortalidad de cualquier causa a partir de los 3 meses de seguimiento tras el alta. Resultados Se analizó a un total de 365 pacientes procedentes de 25 hospitales, 347 V-V y 18 V-A (edad media de 52,7 y 49,4 años, respectivamente). Los pacientes con ECMO V-V fueron más obesos, presentaban menos fracaso orgánico diferente al pulmonar y precisaron menos terapia inotrópica previa al implante. El 33,3% y el 34,9% de los pacientes con ECMO V-A y V-V, respectivamente, fueron dados de alta del hospital (p = NS) y la mortalidad fue similar, del 56,2% y 50,9% de los casos respectivamente, la inmensa mayoría durante la ECMO y sobre todo por fracaso multiorgánico. El 14,0% (51 pacientes) permanecían ingresados. El seguimiento medio fue de 196 ± 101,7 días. En el análisis multivariante, resultaron protectores de evento primario en pacientes con ECMO V-V el peso corporal (OR 0,967; IC 95%: 0,95-0,99; p = 0,004) y la procedencia del propio hospital (OR 0,48; IC 95%: 0,27-0,88; p = 0,018), mientras que la edad (OR 1,063; IC 95%: 1,005-1,12; p = 0,032), la hipertensión arterial (3,593; IC 95%: 1,06-12,19; p = 0,04) y las complicaciones en ECMO globales (2,44; IC 95%: 0,27-0,88; p = 0,019), digestivas (OR 4,23, IC 95%: 1,27-14,07; p = 0,019) y neurológicas (OR 4,66; IC 95%: 1,39-15,62; p = 0,013) fueron predictores independientes de mortalidad. El único predictor independiente de aparición de los eventos secundarios resultó el momento de seguimiento del paciente. Conclusiones La terapia con ECMO permite supervivencias hospitalarias hasta del 50% en pacientes con COVID-19 grave. La edad, la hipertensión arterial y las complicaciones en ECMO son los predictores de mortalidad hospitalaria en pacientes con ECMO V-V. Un mayor peso corporal y la procedencia del propio hospital son factores protectores. La recuperación funcional solo se ve influida por el tiempo de seguimiento transcurrido tras el alta. La estandarización de los criterios de implante y manejo del paciente con COVID grave mejoraría los resultados y la futura investigación clínica.
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21
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Contraindications to the Initiation of Veno-Venous ECMO for Severe Acute Respiratory Failure in Adults: A Systematic Review and Practical Approach Based on the Current Literature. MEMBRANES 2021; 11:membranes11080584. [PMID: 34436348 PMCID: PMC8400963 DOI: 10.3390/membranes11080584] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 07/19/2021] [Accepted: 07/27/2021] [Indexed: 12/21/2022]
Abstract
(1) Background: Extracorporeal membrane oxygenation (ECMO) is increasingly used for acute respiratory failure with few absolute but many relative contraindications. The provider in charge often has a difficult time weighing indications and contraindications to anticipate if the patient will benefit from this treatment, a decision that often decides life and death for the patient. To assist in this process in coming to a good evidence-based decision, we reviewed the available literature. (2) Methods: We performed a systematic review through a literature search of the MEDLINE database of former and current absolute and relative contraindications to the initiation of ECMO treatment. (3) Results: The following relative and absolute contraindications were identified in the literature: absolute-refusal of the use of extracorporeal techniques by the patient, advanced stage of cancer, fatal intracerebral hemorrhage/cerebral herniation/intractable intracranial hypertension, irreversible destruction of the lung parenchyma without the possibility of transplantation, and contraindications to lung transplantation; relative-advanced age, immunosuppressed patients/pharmacological immunosuppression, injurious ventilator settings > 7 days, right-heart failure, hematologic malignancies, especially bone marrow transplantation and graft-versus-host disease, SAPS II score ≥ 60 points, SOFA score > 12 points, PRESERVE score ≥ 5 points, RESP score ≤ -2 points, PRESET score ≥ 6 points, and "do not attempt resuscitation" order (DN(A)R status). (4) Conclusions: We provide a simple-to-follow algorithm that incorporates absolute and relative contraindications to the initiation of ECMO treatment. This algorithm attempts to weigh pros and cons regarding the benefit for an individual patient and hopefully assists caregivers to make better, informed decisions.
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22
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Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, Bonten MMJ, Dahly DL, Damen JAA, Debray TPA, de Jong VMT, De Vos M, Dhiman P, Haller MC, Harhay MO, Henckaerts L, Heus P, Kammer M, Kreuzberger N, Lohmann A, Luijken K, Ma J, Martin GP, McLernon DJ, Andaur Navarro CL, Reitsma JB, Sergeant JC, Shi C, Skoetz N, Smits LJM, Snell KIE, Sperrin M, Spijker R, Steyerberg EW, Takada T, Tzoulaki I, van Kuijk SMJ, van Bussel B, van der Horst ICC, van Royen FS, Verbakel JY, Wallisch C, Wilkinson J, Wolff R, Hooft L, Moons KGM, van Smeden M. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ 2020; 369:m1328. [PMID: 32265220 PMCID: PMC7222643 DOI: 10.1136/bmj.m1328] [Citation(s) in RCA: 1671] [Impact Index Per Article: 417.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/31/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To review and appraise the validity and usefulness of published and preprint reports of prediction models for diagnosing coronavirus disease 2019 (covid-19) in patients with suspected infection, for prognosis of patients with covid-19, and for detecting people in the general population at increased risk of covid-19 infection or being admitted to hospital with the disease. DESIGN Living systematic review and critical appraisal by the COVID-PRECISE (Precise Risk Estimation to optimise covid-19 Care for Infected or Suspected patients in diverse sEttings) group. DATA SOURCES PubMed and Embase through Ovid, up to 1 July 2020, supplemented with arXiv, medRxiv, and bioRxiv up to 5 May 2020. STUDY SELECTION Studies that developed or validated a multivariable covid-19 related prediction model. DATA EXTRACTION At least two authors independently extracted data using the CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist; risk of bias was assessed using PROBAST (prediction model risk of bias assessment tool). RESULTS 37 421 titles were screened, and 169 studies describing 232 prediction models were included. The review identified seven models for identifying people at risk in the general population; 118 diagnostic models for detecting covid-19 (75 were based on medical imaging, 10 to diagnose disease severity); and 107 prognostic models for predicting mortality risk, progression to severe disease, intensive care unit admission, ventilation, intubation, or length of hospital stay. The most frequent types of predictors included in the covid-19 prediction models are vital signs, age, comorbidities, and image features. Flu-like symptoms are frequently predictive in diagnostic models, while sex, C reactive protein, and lymphocyte counts are frequent prognostic factors. Reported C index estimates from the strongest form of validation available per model ranged from 0.71 to 0.99 in prediction models for the general population, from 0.65 to more than 0.99 in diagnostic models, and from 0.54 to 0.99 in prognostic models. All models were rated at high or unclear risk of bias, mostly because of non-representative selection of control patients, exclusion of patients who had not experienced the event of interest by the end of the study, high risk of model overfitting, and unclear reporting. Many models did not include a description of the target population (n=27, 12%) or care setting (n=75, 32%), and only 11 (5%) were externally validated by a calibration plot. The Jehi diagnostic model and the 4C mortality score were identified as promising models. CONCLUSION Prediction models for covid-19 are quickly entering the academic literature to support medical decision making at a time when they are urgently needed. This review indicates that almost all pubished prediction models are poorly reported, and at high risk of bias such that their reported predictive performance is probably optimistic. However, we have identified two (one diagnostic and one prognostic) promising models that should soon be validated in multiple cohorts, preferably through collaborative efforts and data sharing to also allow an investigation of the stability and heterogeneity in their performance across populations and settings. Details on all reviewed models are publicly available at https://www.covprecise.org/. Methodological guidance as provided in this paper should be followed because unreliable predictions could cause more harm than benefit in guiding clinical decisions. Finally, prediction model authors should adhere to the TRIPOD (transparent reporting of a multivariable prediction model for individual prognosis or diagnosis) reporting guideline. SYSTEMATIC REVIEW REGISTRATION Protocol https://osf.io/ehc47/, registration https://osf.io/wy245. READERS' NOTE This article is a living systematic review that will be updated to reflect emerging evidence. Updates may occur for up to two years from the date of original publication. This version is update 3 of the original article published on 7 April 2020 (BMJ 2020;369:m1328). Previous updates can be found as data supplements (https://www.bmj.com/content/369/bmj.m1328/related#datasupp). When citing this paper please consider adding the update number and date of access for clarity.
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Affiliation(s)
- Laure Wynants
- Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Peter Debyeplein 1, 6229 HA Maastricht, Netherlands
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Ben Van Calster
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, Netherlands
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Musculoskeletal Sciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Richard D Riley
- Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Keele, UK
| | - Georg Heinze
- Section for Clinical Biometrics, Centre for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - Ewoud Schuit
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Marc M J Bonten
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Medical Microbiology, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Darren L Dahly
- HRB Clinical Research Facility, Cork, Ireland
- School of Public Health, University College Cork, Cork, Ireland
| | - Johanna A A Damen
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Thomas P A Debray
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Valentijn M T de Jong
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Maarten De Vos
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Electrical Engineering, ESAT Stadius, KU Leuven, Leuven, Belgium
| | - Paul Dhiman
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Musculoskeletal Sciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Maria C Haller
- Section for Clinical Biometrics, Centre for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria
- Ordensklinikum Linz, Hospital Elisabethinen, Department of Nephrology, Linz, Austria
| | - Michael O Harhay
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Palliative and Advanced Illness Research Center and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Liesbet Henckaerts
- Department of Microbiology, Immunology and Transplantation, KU Leuven-University of Leuven, Leuven, Belgium
- Department of General Internal Medicine, KU Leuven-University Hospitals Leuven, Leuven, Belgium
| | - Pauline Heus
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Michael Kammer
- Section for Clinical Biometrics, Centre for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria
- Department of Nephrology, Medical University of Vienna, Vienna, Austria
| | - Nina Kreuzberger
- Evidence-Based Oncology, Department I of Internal Medicine and Centre for Integrated Oncology Aachen Bonn Cologne Dusseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Anna Lohmann
- Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, Netherlands
| | - Kim Luijken
- Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, Netherlands
| | - Jie Ma
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Glen P Martin
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - David J McLernon
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - Constanza L Andaur Navarro
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Johannes B Reitsma
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Jamie C Sergeant
- Centre for Biostatistics, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Chunhu Shi
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Nicole Skoetz
- Department of Nephrology, Medical University of Vienna, Vienna, Austria
| | - Luc J M Smits
- Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Peter Debyeplein 1, 6229 HA Maastricht, Netherlands
| | - Kym I E Snell
- Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Keele, UK
| | - Matthew Sperrin
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - René Spijker
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Public Health, Medical Library, Netherlands
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, Netherlands
| | - Toshihiko Takada
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Sander M J van Kuijk
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, Netherlands
| | - Bas van Bussel
- Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Peter Debyeplein 1, 6229 HA Maastricht, Netherlands
- Department of Intensive Care, Maastricht University Medical Centre+, Maastricht University, Maastricht, Netherlands
| | - Iwan C C van der Horst
- Department of Intensive Care, Maastricht University Medical Centre+, Maastricht University, Maastricht, Netherlands
| | - Florien S van Royen
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Jan Y Verbakel
- EPI-Centre, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Christine Wallisch
- Section for Clinical Biometrics, Centre for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria
- Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Jack Wilkinson
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | | | - Lotty Hooft
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Karel G M Moons
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Maarten van Smeden
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
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