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Hosseini R, Chen Z, Goligher E, Fan E, Ferguson ND, Harhay MO, Sahetya S, Urner M, Yarnell CJ, Heath A. Designing a Bayesian adaptive clinical trial to evaluate novel mechanical ventilation strategies in acute respiratory failure using integrated nested Laplace approximations. Contemp Clin Trials 2024:107560. [PMID: 38735571 DOI: 10.1016/j.cct.2024.107560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 04/20/2024] [Accepted: 05/01/2024] [Indexed: 05/14/2024]
Abstract
BACKGROUND Adaptive trials usually require simulations to determine values for design parameters, demonstrate error rates, and establish the sample size. We designed a Bayesian adaptive trial comparing ventilation strategies for patients with acute hypoxemic respiratory failure using simulations. The complexity of the analysis would usually require computationally expensive Markov Chain Monte Carlo methods but this barrier to simulation was overcome using the Integrated Nested Laplace Approximations (INLA) algorithm to provide fast, approximate Bayesian inference. METHODS We simulated two-arm Bayesian adaptive trials with equal randomization that stratified participants into two disease severity states. The analysis used a proportional odds model, fit using INLA. Trials were stopped based on pre-specified posterior probability thresholds for superiority or futility, separately for each state. We calculated the type I error and power across 64 scenarios that varied the probability thresholds and the initial minimum sample size before commencing adaptive analyses. Two designs that maintained a type I error below 5%, a power above 80%, and a feasible mean sample size were evaluated further to determine the optimal design. RESULTS Power generally increased as the initial sample size and the futility threshold increased. The chosen design had an initial recruitment of 500 and a superiority threshold of 0.9925, and futility threshold of 0.95. It maintained high power and was likely to reach a conclusion before exceeding a feasible sample size. CONCLUSIONS We designed a Bayesian adaptive trial to evaluate novel strategies for ventilation using the INLA algorithm to efficiently evaluate a wide range of designs through simulation.
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Affiliation(s)
- Reyhaneh Hosseini
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
| | - Ziming Chen
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
| | - Ewan Goligher
- Department of Medicine, Division of Respirology, University Health Network, Toronto, ON, Canada
| | - Eddy Fan
- Department of Medicine, Division of Respirology, University Health Network, Toronto, ON, Canada; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Insititute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Niall D Ferguson
- Department of Medicine, Division of Respirology, University Health Network, Toronto, ON, Canada; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Insititute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Michael O Harhay
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sarina Sahetya
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Martin Urner
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Canada; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
| | - Christopher J Yarnell
- Department of Medicine, Division of Respirology, University Health Network, Toronto, ON, Canada; Insititute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Anna Heath
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Department of Statistical Science, University College London, London, UK.
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Qadir N, Sahetya S, Munshi L, Summers C, Abrams D, Beitler J, Bellani G, Brower RG, Burry L, Chen JT, Hodgson C, Hough CL, Lamontagne F, Law A, Papazian L, Pham T, Rubin E, Siuba M, Telias I, Patolia S, Chaudhuri D, Walkey A, Rochwerg B, Fan E. An Update on Management of Adult Patients with Acute Respiratory Distress Syndrome: An Official American Thoracic Society Clinical Practice Guideline. Am J Respir Crit Care Med 2024; 209:24-36. [PMID: 38032683 PMCID: PMC10870893 DOI: 10.1164/rccm.202311-2011st] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Indexed: 12/01/2023] Open
Abstract
Background: This document updates previously published Clinical Practice Guidelines for the management of patients with acute respiratory distress syndrome (ARDS), incorporating new evidence addressing the use of corticosteroids, venovenous extracorporeal membrane oxygenation, neuromuscular blocking agents, and positive end-expiratory pressure (PEEP). Methods: We summarized evidence addressing four "PICO questions" (patient, intervention, comparison, and outcome). A multidisciplinary panel with expertise in ARDS used the Grading of Recommendations, Assessment, Development, and Evaluation framework to develop clinical recommendations. Results: We suggest the use of: 1) corticosteroids for patients with ARDS (conditional recommendation, moderate certainty of evidence), 2) venovenous extracorporeal membrane oxygenation in selected patients with severe ARDS (conditional recommendation, low certainty of evidence), 3) neuromuscular blockers in patients with early severe ARDS (conditional recommendation, low certainty of evidence), and 4) higher PEEP without lung recruitment maneuvers as opposed to lower PEEP in patients with moderate to severe ARDS (conditional recommendation, low to moderate certainty), and 5) we recommend against using prolonged lung recruitment maneuvers in patients with moderate to severe ARDS (strong recommendation, moderate certainty). Conclusions: We provide updated evidence-based recommendations for the management of ARDS. Individual patient and illness characteristics should be factored into clinical decision making and implementation of these recommendations while additional evidence is generated from much-needed clinical trials.
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Dianti J, Tisminetzky M, Ferreyro BL, Englesakis M, Del Sorbo L, Sud S, Talmor D, Ball L, Meade M, Hodgson C, Beitler JR, Sahetya S, Nichol A, Fan E, Rochwerg B, Brochard L, Slutsky AS, Ferguson ND, Serpa Neto A, Adhikari NK, Angriman F, Goligher EC. Association of PEEP and Lung Recruitment Selection Strategies with Mortality in Acute Respiratory Distress Syndrome: A Systematic Review and Network Meta-Analysis. Am J Respir Crit Care Med 2022; 205:1300-1310. [PMID: 35180042 DOI: 10.1164/rccm.202108-1972oc] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
RATIONALE The most beneficial positive end-expiratory pressure (PEEP) selection strategy in patients with acute respiratory distress syndrome (ARDS) is unknown and current practice is variable. OBJECTIVES To compare the relative effects of different PEEP selection strategies on mortality in adults with moderate to severe ARDS. METHODS We conducted a network meta-analysis using a Bayesian framework. Certainty of evidence was evaluated using GRADE methodology. RESULTS We included 18 randomized trials (4646 participants). In comparison to a lower PEEP strategy, the posterior probability of mortality benefit from a higher PEEP without lung recruitment maneuver (LRM) strategy was 99% (RR 0.77, 95% Crl 0.60-0.96, high certainty), the posterior probability of benefit of the Pes-guided strategy was 87% (RR 0.77, 95% CrI 0.48-1.22, moderate certainty), the posterior probability of benefit of a higher PEEP with brief LRM strategy was 96% (RR 0.83, 95% CrI 0.67-1.02, moderate certainty), and the posterior probability of increased mortality from a higher PEEP with prolonged LRM strategy was 77% (RR 1.06, 95% Crl 0.89-1.22, low certainty). In comparison to a higher PEEP without LRM strategy, the posterior probability of increased mortality from a higher PEEP with prolonged LRM strategy was 99% (RR 1.37, 95% CrI 1.04-1.81, moderate certainty). CONCLUSIONS AND RELEVANCE In patients with moderate to severe ARDS, higher PEEP without LRM is associated with a lower risk of death as compared to lower PEEP. A higher PEEP with prolonged LRM strategy is associated with increased risk of death when compared to higher PEEP without LRM.
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Affiliation(s)
- Jose Dianti
- Hospital Italiano de Buenos Aires, 37533, Intensive Care Unit, Buenos Aires, Argentina
| | - Manuel Tisminetzky
- University Health Network, 7989, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada
| | - Bruno L Ferreyro
- University Health Network, 7989, Critical Care, Toronto, Ontario, Canada
| | - Marina Englesakis
- University Health Network, 7989, Library and Information Services, Toronto, Ontario, Canada
| | - Lorenzo Del Sorbo
- Toronto General Hospital, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada
| | - Sachin Sud
- Trillium Health Center, Mississauga, Ontario, Canada
| | - Daniel Talmor
- Beth Israel Deaconess Medical Center, Department of Anesthesia and Critical Care, Boston, Massachusetts, United States
| | - Lorenzo Ball
- University of Genoa School of Medical and Pharmaceutical Sciences, 60225, Anaesthesia and Intensive Care Unit, Department of Surgical Science and Integrated Diagnostics (DISC), Genova, Italy
| | - Maureen Meade
- McMaster University, 3710, Clinical Epidemiology & Biostatistics, Hamilton, Ontario, Canada
| | - Carol Hodgson
- Monash University, ANZIC Research Centre, Melbourne, Victoria, Australia.,Alfred Health, 5392, Intensive Care, Melbourne, Victoria, Australia
| | - Jeremy R Beitler
- Columbia University College of Physicians and Surgeons, 12294, Center for Acute Respiratory Failure and Division of Pulmonary, Allergy, and Critical Care Medicine, New York, New York, United States.,NewYork-Presbyterian Hospital, 25065, New York, New York, United States
| | - Sarina Sahetya
- Johns Hopkins University, Pulmonary & Critical Care Medicine, Baltimore, Maryland, United States
| | - Alistair Nichol
- Monash University, Australian and New Zealand Intensive Care Research Centre, Melbourne, Victoria, Australia
| | - Eddy Fan
- University of Toronto, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada
| | - Bram Rochwerg
- McMaster University, Medicine, Hamilton, Ontario, Canada
| | - Laurent Brochard
- St Michael's Hospital in Toronto, Li Ka Shing Knowledge Institute, Keenan Research Centre, Toronto, Ontario, Canada.,University of Toronto, 7938, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada
| | - Arthur S Slutsky
- University of Toronto, 7938, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada
| | - Niall D Ferguson
- University Health Network, Department of Medicine, Division of Respirology, Toronto, Ontario, Canada.,University of Toronto, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada
| | - Ary Serpa Neto
- Hospital Israelita Albert Einstein, 37896, Intensive Care Unit, São Paulo, Brazil
| | | | - Federico Angriman
- University of Toronto, 7938, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada
| | - Ewan C Goligher
- University Health Network, 7989, Department of Medicine, Division of Respirology, Critical Care Program, Toronto, Ontario, Canada.,University of Toronto, 7938, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada;
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Metkus TS, Lindsley J, Fair L, Riley S, Berry S, Sahetya S, Hsu S, Gilotra NA. Quality of Heart Failure Care in the Intensive Care Unit. J Card Fail 2021; 27:1111-1125. [PMID: 34625130 DOI: 10.1016/j.cardfail.2021.08.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/03/2021] [Accepted: 08/03/2021] [Indexed: 01/02/2023]
Abstract
Patients with heart failure (HF) who are seen in an intensive care unit (ICU) manifest the highest-risk, most complex and most resource-intensive disease states. These patients account for a large relative proportion of days spent in an ICU. The paradigms by which critical care is provided to patients with HF are being reconsidered, including consideration of various multidisciplinary ICU staffing models and the development of acute-response teams. Traditional HF quality initiatives have centered on the peri- and postdischarge period in attempts to improve adherence to guideline-directed therapies and reduce readmissions. There is a compelling rationale for expanding high-quality efforts in treating patients with HF who are receiving critical care so we can improve outcomes, reduce preventable harm, improve teamwork and resource use, and achieve high health-system performance. Our goal is to answer the following question: For a patient with HF in the ICU, what is required for the provision of high-quality care? Herein, we first review the epidemiology of HF syndromes in the ICU and identify relevant critical care and quality stakeholders in HF. We next discuss the tenets of high-quality care for patients with HF in the ICU that will optimize critical care outcomes, such as ICU staffing models and evidence-based management of cardiac and noncardiac disease. We discuss strategies to mitigate preventable harm, improve ICU culture and conduct outcomes review, and we conclude with our summative vision of high-quality of ICU care for patients with HF; our vision includes clinical excellence, teamwork and ICU culture.
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Affiliation(s)
- Thomas S Metkus
- The Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | | | - Linda Fair
- Johns Hopkins Hospital, Baltimore, Maryland
| | - Sarah Riley
- The Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Stephen Berry
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sarina Sahetya
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Steven Hsu
- The Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Nisha A Gilotra
- The Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Grosu HB, Molina S, Casal R, Song J, Li L, Diaz-Mendoza J, Reddy C, Yarmus L, Schiavo D, Simoff M, Johnstun J, Raid AA, Feller-Kopman D, Lee H, Sahetya S, Foley F, Maldonado F, Tian X, Noor L, Miller R, Mudambi L, Saettele T, Vial-Rodriguez M, Eapen GA, Ost DE. Risk factors for pleural effusion recurrence in patients with malignancy. Respirology 2018; 24:76-82. [PMID: 29966171 DOI: 10.1111/resp.13362] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Revised: 04/09/2018] [Accepted: 06/07/2018] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND OBJECTIVE The main purpose of treatment in patients with malignant pleural effusion (MPE) is symptom palliation. Currently, patients undergo repeat thoracenteses prior to receiving a definitive procedure as clinicians are not aware of the risk factors associated with fluid recurrence. The primary objective of this study was to identify risk factors associated with recurrent symptomatic MPE. METHODS Retrospective multicentre cohort study of patients who underwent first thoracentesis was performed. The primary outcome was time to fluid recurrence requiring intervention in patients with evidence of metastatic disease. We used a cause-specific hazard model to identify risk factors associated with fluid recurrence. We also developed a predictive model, utilizing Fine-Gray subdistribution hazard model, and externally validated the model. RESULTS A total of 988 patients with diagnosed metastatic disease were included. Cumulative incidence of recurrence was high with 30% of patients recurring by day 15. On multivariate analysis, size of the effusion on chest X-ray (up to the top of the cardiac silhouette (hazard ratio (HR): 1.84, 95% CI: 1.21-2.80, P = 0.004) and above the cardiac silhouette (HR: 2.22, 95% CI: 1.43-3.46, P = 0.0004)), larger amount of pleural fluid drained (HR: 1.06, 95% CI: 1.04-1.07, P < 0.0001) and higher pleural fluid LDH (HR: 1.008, 95% CI: 1.004-1.011, P < 0.0001) were associated with increased hazard of recurrence. Negative cytology (HR: 0.52, 95% CI: 0.43-0.64, P < 0.0001) was associated with decreased hazard of recurrence. The model had low prediction accuracy. CONCLUSION Pleural effusion size, amount of pleural fluid drained, LDH and pleural fluid cytology were found to be risk factors for recurrence.
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Affiliation(s)
- Horiana B Grosu
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sofia Molina
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,School of Medicine and Health Sciences TecSalud, Monterrey, Mexico
| | - Roberto Casal
- Pulmonary Department, Michael DeBakey VA Medical Center, Baylor College of Medicine, Houston, TX, USA
| | - Juhee Song
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Chakravarthy Reddy
- Pulmonary Department, University of Utah Health Care, Salt Lake City, UT, USA
| | - Lonny Yarmus
- Pulmonary Department, Johns Hopkins University, Baltimore, MD, USA
| | - Dante Schiavo
- Pulmonary Department, Mayo Clinic, Rochester, MN, USA
| | - Michael Simoff
- Pulmonary Department, Henry Ford Hospital, Detroit, MI, USA
| | - Jared Johnstun
- Pulmonary Department, University of Utah Health Care, Salt Lake City, UT, USA
| | - Abu-Awwad Raid
- Pulmonary Department, Michael DeBakey VA Medical Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Hans Lee
- Pulmonary Department, Johns Hopkins University, Baltimore, MD, USA
| | - Sarina Sahetya
- Pulmonary Department, Johns Hopkins University, Baltimore, MD, USA
| | - Finbar Foley
- Pulmonary Department, Mayo Clinic, Rochester, MN, USA
| | | | - Xin Tian
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Laila Noor
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Russell Miller
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lakshmi Mudambi
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Timothy Saettele
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Macarena Vial-Rodriguez
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gerogie A Eapen
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David E Ost
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Sharp MK, Gregg M, Brock G, Nair N, Sahetya S, Austin EH, Mascio C, Slaughter MD, Pantalos GM. Comparison of Blood Viscoelasticity in Pediatric and Adult Cardiac Patients. Cardiovasc Eng Technol 2017; 8:182-192. [PMID: 28283942 DOI: 10.1007/s13239-017-0300-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 02/27/2017] [Indexed: 11/30/2022]
Abstract
Evidence is accumulating that blood flow patterns in the cardiovascular system and in cardiovascular devices do, in some instances, depend on blood viscoelasticity. Thus, to better understand the challenges to providing circulatory support and surgical therapies for pediatric and adult patients, viscous and elastic components of complex blood viscoelasticity of 31 pediatric patients were compared to those of 29 adult patients with a Vilastic-3 rheometer. A random effects model with categorical age covariates found statistically significant differences between pediatric and adult patients for log viscosity (p = 0.005). Log strain (p < 0.0001) and hematocrit (p < 0.0001) effects were also significant, as were the hematocrit-by-log-strain (p = 0.0006) and age-by-log strain (p = 0.001) interactions. The hematocrit-by-age interaction was not significant. For log elasticity, age differences were insignificant (p = 0.39). The model for log elasticity had significant log strain (p < 0.0001), log strain squared (p < 0.0001) and hematocrit (p < 0.0001) effects, as well as hematocrit-by-log-strain and hematocrit-by-log-strain-squared interactions (p = 0.014). A model for log viscosity with continuous age was also fit to the data, which can be used to refine cardiovascular device design and operation to the age of the patient. We conclude that there are distinct differences between pediatric and adult blood viscosity, as well as substantial variation within the pediatric population, that may impact the performance of devices and procedures.
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Affiliation(s)
- M Keith Sharp
- Department of Mechanical Engineering, University of Louisville, 200 Sackett Hall, Louisville, KY, 40292, USA.
| | - Mary Gregg
- School of Public Health, University of Louisville, Louisville, KY, USA
| | - Guy Brock
- School of Public Health, University of Louisville, Louisville, KY, USA
| | - Neema Nair
- Department of Mechanical Engineering, University of Louisville, 200 Sackett Hall, Louisville, KY, 40292, USA
| | - Sarina Sahetya
- Cardiovascular Innovation Institute, University of Louisville, Louisville, KY, USA
| | - Erle H Austin
- Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, KY, USA
| | - Christopher Mascio
- Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, KY, USA
| | - Mark D Slaughter
- Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, KY, USA
| | - George M Pantalos
- Cardiovascular Innovation Institute, University of Louisville, Louisville, KY, USA.,Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, KY, USA
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Abstract
Although precise numbers are difficult to obtain, the population of patients receiving long-term ventilation has increased over the last 20 years, and includes patients with chronic lung diseases, neuromuscular diseases, spinal cord injury, and children with complex disorders. This article reviews the equipment and logistics involved with ventilation outside of the hospital. Discussed are common locations for long-term ventilation, airway and secretion management, and many of the potential challenges faced by individuals on long-term ventilation.
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Affiliation(s)
- Sarina Sahetya
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sarah Allgood
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter C Gay
- Pulmonary and Critical Care, The Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.
| | - Noah Lechtzin
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Pantalos GM, Horrell T, Merkley T, Sahetya S, Speakman J, Johnson G, Gartner M. In vitro characterization and performance testing of the ension pediatric cardiopulmonary assist system. ASAIO J 2009; 55:282-6. [PMID: 19293710 PMCID: PMC2792749 DOI: 10.1097/mat.0b013e3181909d76] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
In the last 40 years, mechanical circulatory support devices have become an effective option for the treatment of end-stage heart failure in adults. Few possibilities, however, are available for pediatric cardiopulmonary support. Ension Inc. (Pittsburgh, PA) is developing a pediatric cardiopulmonary assist system (pCAS) intended to address the limitations of existing devices used for this patient population. The pCAS device is an integrated unit containing an oxygenator and pump within a single casing, significantly reducing the size and blood-contacting surface area in comparison to current devices. Prototype pCAS devices produce appropriate flows and pressures while minimizing priming volume and preparation time. The pCAS was tested on a mock circulation designed to approximate the hemodynamic parameters of a small infant using a 10-Fr. extracorporeal membrane oxygenation inflow cannula and an 8-Fr. extracorporeal membrane oxygenation outflow cannula. Revision 4 of the device provided a flow rate of 0.42 L/min at 6,500 RPM. Revision 5, featuring improved impeller and diffuser designs, provided a flow rate of 0.57 L/min at 5,000 RPM. The performance tests indicate that for this cannulae combination, the pCAS pump is capable of delivering sufficient flows for patients <5 kg.
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Affiliation(s)
- George M Pantalos
- Department of Surgery, Division of Artificial Organs, Cardiovascular Innovation Institute, University of Louisville, Louisville, Kentucky 40202, USA.
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