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Abstract
OBJECTIVES To map the evidence for ventilation liberation practices in pediatric respiratory failure using the Realist And MEta-narrative Evidence Syntheses: Evolving Standards publication standards. DATA SOURCES CINAHL, MEDLINE, COCHRANE, and EMBASE. Trial registers included the following: ClinicalTrials.gov, European Union clinical trials register, International Standardized Randomized Controlled Trial Number register. STUDY SELECTION Abstracts were screened followed by review of full text. Articles published in English language incorporating a heterogeneous population of both infants and older children were assessed. DATA EXTRACTION None. DATA SYNTHESIS Weaning can be considered as the process by which positive pressure is decreased and the patient becomes increasingly responsible for generating the energy necessary for effective gas exchange. With the growing use of noninvasive respiratory support, extubation can lie in the middle of the weaning process if some additional positive pressure is used after extubation, while for some extubation may constitute the end of weaning. Testing for extubation readiness is a key component of the weaning process as it allows the critical care practitioner to assess the capability and endurance of the patient's respiratory system to resume unassisted ventilation. Spontaneous breathing trials (SBTs) are often seen as extubation readiness testing (ERT), but the SBT is used to determine if the patient can maintain adequate spontaneous ventilation with minimal ventilatory support, whereas ERT implies the patient is ready for extubation. CONCLUSIONS Current literature suggests using a structured approach that includes a daily assessment of patient's readiness to extubate may reduce total ventilation time. Increasing evidence indicates that such daily assessments needs to include SBTs without added pressure support. Measures of elevated load as well as measures of impaired respiratory muscle capacity are independently associated with extubation failure in children, indicating that these should also be assessed as part of ERT.
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Schönhofer B, Geiseler J, Dellweg D, Fuchs H, Moerer O, Weber-Carstens S, Westhoff M, Windisch W. Prolonged Weaning: S2k Guideline Published by the German Respiratory Society. Respiration 2020; 99:1-102. [PMID: 33302267 DOI: 10.1159/000510085] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 07/09/2020] [Indexed: 01/28/2023] Open
Abstract
Mechanical ventilation (MV) is an essential part of modern intensive care medicine. MV is performed in patients with severe respiratory failure caused by respiratory muscle insufficiency and/or lung parenchymal disease; that is, when other treatments such as medication, oxygen administration, secretion management, continuous positive airway pressure (CPAP), or nasal high-flow therapy have failed. MV is required for maintaining gas exchange and allows more time to curatively treat the underlying cause of respiratory failure. In the majority of ventilated patients, liberation or "weaning" from MV is routine, without the occurrence of any major problems. However, approximately 20% of patients require ongoing MV, despite amelioration of the conditions that precipitated the need for it in the first place. Approximately 40-50% of the time spent on MV is required to liberate the patient from the ventilator, a process called "weaning". In addition to acute respiratory failure, numerous factors can influence the duration and success rate of the weaning process; these include age, comorbidities, and conditions and complications acquired during the ICU stay. According to international consensus, "prolonged weaning" is defined as the weaning process in patients who have failed at least 3 weaning attempts, or require more than 7 days of weaning after the first spontaneous breathing trial (SBT). Given that prolonged weaning is a complex process, an interdisciplinary approach is essential for it to be successful. In specialised weaning centres, approximately 50% of patients with initial weaning failure can be liberated from MV after prolonged weaning. However, the heterogeneity of patients undergoing prolonged weaning precludes the direct comparison of individual centres. Patients with persistent weaning failure either die during the weaning process, or are discharged back to their home or to a long-term care facility with ongoing MV. Urged by the growing importance of prolonged weaning, this Sk2 Guideline was first published in 2014 as an initiative of the German Respiratory Society (DGP), in conjunction with other scientific societies involved in prolonged weaning. The emergence of new research, clinical study findings and registry data, as well as the accumulation of experience in daily practice, have made the revision of this guideline necessary. The following topics are dealt with in the present guideline: Definitions, epidemiology, weaning categories, underlying pathophysiology, prevention of prolonged weaning, treatment strategies in prolonged weaning, the weaning unit, discharge from hospital on MV, and recommendations for end-of-life decisions. Special emphasis was placed on the following themes: (1) A new classification of patient sub-groups in prolonged weaning. (2) Important aspects of pulmonary rehabilitation and neurorehabilitation in prolonged weaning. (3) Infrastructure and process organisation in the care of patients in prolonged weaning based on a continuous treatment concept. (4) Changes in therapeutic goals and communication with relatives. Aspects of paediatric weaning are addressed separately within individual chapters. The main aim of the revised guideline was to summarize both current evidence and expert-based knowledge on the topic of "prolonged weaning", and to use this information as a foundation for formulating recommendations related to "prolonged weaning", not only in acute medicine but also in the field of chronic intensive care medicine. The following professionals served as important addressees for this guideline: intensivists, pulmonary medicine specialists, anaesthesiologists, internists, cardiologists, surgeons, neurologists, paediatricians, geriatricians, palliative care clinicians, rehabilitation physicians, intensive/chronic care nurses, physiotherapists, respiratory therapists, speech therapists, medical service of health insurance, and associated ventilator manufacturers.
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Affiliation(s)
- Bernd Schönhofer
- Klinikum Agnes Karll Krankenhaus, Klinikum Region Hannover, Laatzen, Germany,
| | - Jens Geiseler
- Klinikum Vest, Medizinische Klinik IV: Pneumologie, Beatmungs- und Schlafmedizin, Marl, Germany
| | - Dominic Dellweg
- Fachkrankenhaus Kloster Grafschaft GmbH, Abteilung Pneumologie II, Schmallenberg, Germany
| | - Hans Fuchs
- Universitätsklinikum Freiburg, Zentrum für Kinder- und Jugendmedizin, Neonatologie und Pädiatrische Intensivmedizin, Freiburg, Germany
| | - Onnen Moerer
- Universitätsmedizin Göttingen, Klinik für Anästhesiologie, Göttingen, Germany
| | - Steffen Weber-Carstens
- Charité, Universitätsmedizin Berlin, Klinik für Anästhesiologie mit Schwerpunkt operative Intensivmedizin, Campus Virchow-Klinikum und Campus Mitte, Berlin, Germany
| | - Michael Westhoff
- Lungenklinik Hemer, Hemer, Germany
- Universität Witten/Herdecke, Herdecke, Germany
| | - Wolfram Windisch
- Lungenklinik, Kliniken der Stadt Köln gGmbH, Universität Witten/Herdecke, Herdecke, Germany
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Al Mandhari H, Finelli M, Chen S, Tomlinson C, Nonoyama ML. Effects of an extubation readiness test protocol at a tertiary care fully outborn neonatal intensive care unit. ACTA ACUST UNITED AC 2019; 55:81-88. [PMID: 31667334 PMCID: PMC6797061 DOI: 10.29390/cjrt-2019-011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Background and objectives Extubation readiness testing (ERT) in the Neonatal Intensive Care Unit (NICU) is highly variable and lacking standardized criteria. To address this gap, an evidence-based, inter-professionally developed ERT protocol was implemented to assess effectiveness on extubation failure within 72 h and on duration of intubation (DOI). Methods A longitudinal retrospective chart review in a level III, fully outborn NICU, of intubated infants admitted 1-year prior (Group 1), and 1 year after implementation (Group 2). Patients were extubated if they passed a 2-stage ERT protocol (3 min continuous positive airway pressure (CPAP) followed by 7 min CPAP + pressure support). Descriptive, comparative statistics, and univariate and multiple logistic regression were completed on all patients and a ≤32 6/7 weeks subgroup (intubated at day-of-life 1); p < 0.05 is considered significant. Results All patients (n = 589 (n = 294 Group 1, n = 295 Group 2)) were included (preterm, intubated day of life one subgroup: n = 42 Group 1, n = 38 Group 2). For all patients, extubation failure decreased significantly from 9.9% to 4.1% (p = 0.006); Group 1 patients were 2.42 times more likely to experience extubation failure compared with Group 2. Extubation failure in the preterm subgroup decreased from 21.7% to 2.6% (p = 0.01); Group 1 patients were 10.71 times more likely to experience extubation failure. Median DOI was similar in both groups for all patients and in the preterm subgroup. Conclusions A unique two-stage ERT protocol was effective at reducing extubation failure rate, without increasing DOI, largely in preterm infants. The evidence-based, interprofessionally developed ERT protocol and its integration into the NICU culture largely contributed to its success.
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Affiliation(s)
- Hilal Al Mandhari
- Neonatal Unit, Child Health department, Sultan Qaboos University Hospital, Muscat, Oman.,Neonatology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Michael Finelli
- Neonatology, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Respiratory Therapy, The Hospital for Sick Children, Toronto, ON, Canada
| | - Shiyi Chen
- Clinical Research Services, The Hospital for Sick Children, Toronto, ON, Canada
| | | | - Mika L Nonoyama
- Department of Respiratory Therapy, The Hospital for Sick Children, Toronto, ON, Canada.,Faculty of Health Sciences, University of Ontario Institute of Technology, Oshawa, ON, Canada.,Department of Physical Therapy and Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada
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Ghazal S, Sauthier M, Brossier D, Bouachir W, Jouvet PA, Noumeir R. Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children: A single center pilot study. PLoS One 2019; 14:e0198921. [PMID: 30785881 PMCID: PMC6382156 DOI: 10.1371/journal.pone.0198921] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 02/04/2019] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND In an intensive care units, experts in mechanical ventilation are not continuously at patient's bedside to adjust ventilation settings and to analyze the impact of these adjustments on gas exchange. The development of clinical decision support systems analyzing patients' data in real time offers an opportunity to fill this gap. OBJECTIVE The objective of this study was to determine whether a machine learning predictive model could be trained on a set of clinical data and used to predict transcutaneous hemoglobin oxygen saturation 5 min (5min SpO2) after a ventilator setting change. DATA SOURCES Data of mechanically ventilated children admitted between May 2015 and April 2017 were included and extracted from a high-resolution research database. More than 776,727 data rows were obtained from 610 patients, discretized into 3 class labels (< 84%, 85% to 91% and c92% to 100%). PERFORMANCE METRICS OF PREDICTIVE MODELS Due to data imbalance, four different data balancing processes were applied. Then, two machine learning models (artificial neural network and Bootstrap aggregation of complex decision trees) were trained and tested on these four different balanced datasets. The best model predicted SpO2 with area under the curves < 0.75. CONCLUSION This single center pilot study using machine learning predictive model resulted in an algorithm with poor accuracy. The comparison of machine learning models showed that bagged complex trees was a promising approach. However, there is a need to improve these models before incorporating them into a clinical decision support systems. One potentially solution for improving predictive model, would be to increase the amount of data available to limit over-fitting that is potentially one of the cause for poor classification performances for 2 of the three class labels.
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Affiliation(s)
- Sam Ghazal
- Department of health information analysis, École de Technologie Supérieure (ÉTS), Montreal, Quebec, Canada
| | - Michael Sauthier
- Department of Pediatrics, Sainte-Justine Hospital, Montreal, Quebec, Canada
| | - David Brossier
- Department of Pediatrics, Sainte-Justine Hospital, Montreal, Quebec, Canada
| | - Wassim Bouachir
- LICEF research center, TÉLUQ University, Montreal, Quebec, Canada
| | - Philippe A. Jouvet
- Department of Pediatrics, Sainte-Justine Hospital, Montreal, Quebec, Canada
| | - Rita Noumeir
- Department of health information analysis, École de Technologie Supérieure (ÉTS), Montreal, Quebec, Canada
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Anan'ev EP, Polupan AA, Matskovskiy IV, Oshorov AV, Goryachev AS, Savin IA, Sychev AA, Tabasaranskiy TF, Podlepich VV, Krylov KY, Pashin AA, Satishur OE, Piquilloud L, Novotni D, Potapov AA, Savchenko YV. [Use of the IntelliVent-ASV mode for maintaining the target EtCO2 range in patients with severe TBI]. ZHURNAL VOPROSY NEĬROKHIRURGII IMENI N. N. BURDENKO 2018; 81:63-68. [PMID: 29076469 DOI: 10.17116/neiro201781563-68] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE the study purpose was to evaluate the efficacy of the IntelliVent-ASV mode in maintaining the target range of PaCO2 in patients with severe TBI. MATERIAL AND METHODS The study included 12 severe TBI patients with the wakefulness level scored 4-9 (GCS). This was a crossover design study. Two ventilation modes were consecutively used: IntelliVent-ASV and P-CMV, for 12 h each. When using the P-CMV mode, the ventilation parameters were set to maintain PaCO2 in a range of 35-38 mm Hg. The IntelliVent-ASV mode involved the Brain Injury ventilation algorithm. The target range of EtCO2 was set in accordance with the delta PaCO2-EtCO2 to maintain PaCO2 in a range of 35-38. At the beginning of each ventilation period and every 3 hours, the arterial blood gas composition was analyzed. When PaCO2 occurred out of the 35-38 range, appropriate adjustments were made to the ventilation parameters. In the P-CMV mode, the Pinsp and RR parameters were adjusted to achieve the target PaCO2 range. In IntelliVent mode, a shift of the target EtCO2 range was adjusted in accordance with a changed PaCO2-EtCO2 difference. In all patients, ICP, blood pressure, and EtCO2 were monitored; the arterial blood gas composition was analyzed every 3 h; the frequency of manual settings of ventilation parameters was recorded. RESULTS The EtCO2 and PaCO2 parameters were found not to be significantly different in the P-CMV and IntelliVent modes, but the spread in these parameters was significantly lower in the IntelliVent ventilation mode. The PaCO2 parameter occurred out of the target range significantly less often in the IntelliVent mode than in the P-CMV mode. The mean frequency of manual respirator settings needed to maintain the target EtCO2 range was significantly lower in the IntelliVent-ASV mode than in the P-CMV mode. CONCLUSION The IntelliVent-ASV mode provides more efficient maintenance of PaCO2 in the target range compared to traditional artificial ventilation using fewer manual settings of the ventilation parameters.
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Affiliation(s)
- E P Anan'ev
- Burdenko Neurosurgical Institute, Moscow, Russia
| | - A A Polupan
- Burdenko Neurosurgical Institute, Moscow, Russia
| | | | - A V Oshorov
- Burdenko Neurosurgical Institute, Moscow, Russia
| | | | - I A Savin
- Burdenko Neurosurgical Institute, Moscow, Russia
| | - A A Sychev
- Burdenko Neurosurgical Institute, Moscow, Russia
| | | | | | - K Yu Krylov
- Burdenko Neurosurgical Institute, Moscow, Russia
| | - A A Pashin
- Burdenko Neurosurgical Institute, Moscow, Russia
| | | | - L Piquilloud
- CHUV-University Hospital of Lausanne, Lausanne, Switzerland
| | - D Novotni
- Hamilton Medical, Bonaduz, Switzerland
| | - A A Potapov
- Burdenko Neurosurgical Institute, Moscow, Russia
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Newth CJL, Khemani RG, Jouvet PA, Sward KA. Mechanical Ventilation and Decision Support in Pediatric Intensive Care. Pediatr Clin North Am 2017; 64:1057-1070. [PMID: 28941535 DOI: 10.1016/j.pcl.2017.06.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Respiratory support is required in most children in the pediatric intensive care unit. Decision-support tools (paper or electronic) have been shown to improve the quality of medical care, reduce errors, and improve outcomes. Computers can assist clinicians by standardizing descriptors and procedures, consistently performing calculations, incorporating complex rules with patient data, and capturing relevant data. This article discusses computer decision-support tools to assist clinicians in making flexible but consistent, evidence-based decisions for equivalent patient states.
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Affiliation(s)
- Christopher John L Newth
- Anesthesiology and Critical Care Medicine, University of Southern California, Children's Hospital Los Angeles, MS #12, PICU Administration, 4650 Sunset Boulevard, Los Angeles, CA 90027, USA.
| | - Robinder G Khemani
- Anesthesiology and Critical Care Medicine, University of Southern California, Children's Hospital Los Angeles, MS #12, PICU Administration, 4650 Sunset Boulevard, Los Angeles, CA 90027, USA
| | - Philippe A Jouvet
- CHU Sainte-Justine, 3175 Chemin de Côte Sainte Catherine, Montreal, Québec H3T 1C5, Canada
| | - Katherine A Sward
- University of Utah College of Nursing, 10 S 2000 East, Salt Lake City, UT 84112
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Recommendations for mechanical ventilation of critically ill children from the Paediatric Mechanical Ventilation Consensus Conference (PEMVECC). Intensive Care Med 2017; 43:1764-1780. [PMID: 28936698 PMCID: PMC5717127 DOI: 10.1007/s00134-017-4920-z] [Citation(s) in RCA: 189] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 08/22/2017] [Indexed: 12/15/2022]
Abstract
Purpose Much of the common practice in paediatric mechanical ventilation is based on personal experiences and what paediatric critical care practitioners have adopted from adult and neonatal experience. This presents a barrier to planning and interpretation of clinical trials on the use of specific and targeted interventions. We aim to establish a European consensus guideline on mechanical ventilation of critically children. Methods The European Society for Paediatric and Neonatal Intensive Care initiated a consensus conference of international European experts in paediatric mechanical ventilation to provide recommendations using the Research and Development/University of California, Los Angeles, appropriateness method. An electronic literature search in PubMed and EMBASE was performed using a combination of medical subject heading terms and text words related to mechanical ventilation and disease-specific terms. Results The Paediatric Mechanical Ventilation Consensus Conference (PEMVECC) consisted of a panel of 15 experts who developed and voted on 152 recommendations related to the following topics: (1) general recommendations, (2) monitoring, (3) targets of oxygenation and ventilation, (4) supportive measures, (5) weaning and extubation readiness, (6) normal lungs, (7) obstructive diseases, (8) restrictive diseases, (9) mixed diseases, (10) chronically ventilated patients, (11) cardiac patients and (12) lung hypoplasia syndromes. There were 142 (93.4%) recommendations with “strong agreement”. The final iteration of the recommendations had none with equipoise or disagreement. Conclusions These recommendations should help to harmonise the approach to paediatric mechanical ventilation and can be proposed as a standard-of-care applicable in daily clinical practice and clinical research. Electronic supplementary material The online version of this article (doi:10.1007/s00134-017-4920-z) contains supplementary material, which is available to authorized users.
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Nardi N, Mortamet G, Ducharme-Crevier L, Emeriaud G, Jouvet P. Recent Advances in Pediatric Ventilatory Assistance. F1000Res 2017; 6:290. [PMID: 28413621 PMCID: PMC5365224 DOI: 10.12688/f1000research.10408.1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/16/2017] [Indexed: 01/17/2023] Open
Abstract
In this review on respiratory assistance, we aim to discuss the following recent advances: the optimization and customization of mechanical ventilation, the use of high-frequency oscillatory ventilation, and the role of noninvasive ventilation. The prevention of ventilator-induced lung injury and diaphragmatic dysfunction is now a key aspect in the management of mechanical ventilation, since these complications may lead to higher mortality and prolonged length of stay in intensive care units. Different physiological measurements, such as esophageal pressure, electrical activity of the diaphragm, and volumetric capnography, may be useful objective tools to help guide ventilator assistance. Companies that design medical devices including ventilators and respiratory monitoring platforms play a key role in knowledge application. The creation of a ventilation consortium that includes companies, clinicians, researchers, and stakeholders could be a solution to promote much-needed device development and knowledge implementation.
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Affiliation(s)
- Nicolas Nardi
- Pediatric Intensive Care Unit, CHU Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
| | - Guillaume Mortamet
- Pediatric Intensive Care Unit, CHU Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
| | | | - Guillaume Emeriaud
- Pediatric Intensive Care Unit, CHU Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
| | - Philippe Jouvet
- Pediatric Intensive Care Unit, CHU Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
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Hilgendorff A, Apitz C, Bonnet D, Hansmann G. Pulmonary hypertension associated with acute or chronic lung diseases in the preterm and term neonate and infant. The European Paediatric Pulmonary Vascular Disease Network, endorsed by ISHLT and DGPK. Heart 2016; 102 Suppl 2:ii49-56. [PMID: 27053698 DOI: 10.1136/heartjnl-2015-308591] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2015] [Accepted: 10/14/2015] [Indexed: 11/04/2022] Open
Abstract
Persistent pulmonary hypertension of the newborn (PPHN) is the most common neonatal form and mostly reversible after a few days with improvement of the underlying pulmonary condition. When pulmonary hypertension (PH) persists despite adequate treatment, the severity of parenchymal lung disease should be assessed by chest CT. Pulmonary vein stenosis may need to be ruled out by cardiac catheterisation and lung biopsy, and genetic workup is necessary when alveolar capillary dysplasia is suspected. In PPHN, optimisation of the cardiopulmonary situation including surfactant therapy should aim for preductal SpO2between 91% and 95% and severe cases without post-tricuspid-unrestrictive shunt may receive prostaglandin E1 to maintain ductal patency in right heart failure. Inhaled nitric oxide is indicated in mechanically ventilated infants to reduce the need for extracorporal membrane oxygenation (ECMO), and sildenafil can be considered when this therapy is not available. ECMO may be indicated according to the ELSO guidelines. In older preterm infant, where PH is mainly associated with bronchopulmonary dysplasia (BPD) or in term infants with developmental lung anomalies such as congenital diaphragmatic hernia or cardiac anomalies, left ventricular diastolic dysfunction/left atrial hypertension or pulmonary vein stenosis, can add to the complexity of the disease. Here, oral or intravenous sildenafil should be considered for PH treatment in BPD, the latter for critically ill patients. Furthermore, prostanoids, mineralcorticoid receptor antagonists, and diuretics can be beneficial. Infants with proven or suspected PH should receive close follow-up, including preductal/postductal SpO2measurements, echocardiography and laboratory work-up including NT-proBNP, guided by clinical improvement or lack thereof.
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Affiliation(s)
- Anne Hilgendorff
- Department of Neonatology, Dr von Haunersche Children's Hospital, Ludwig-Maximilians University, Munich, Germany
| | - Christian Apitz
- Department of Paediatric Cardiology, Children's Hospital, University of Ulm, Ulm, Germany
| | - Damien Bonnet
- Unité Médico-Chirurgicale de Cardiologie Congénitale et Pédiatrique, Centre de référence Malformations Cardiaques Congénitales Complexes-M3C, Hôpital Necker Enfants Malades, APHP, Université Paris Descartes, Sorbonne Paris, Paris, France
| | - Georg Hansmann
- Department of Paediatric Cardiology and Critical Care, Hannover Medical School, Hannover, Germany
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Sward KA, Newth CJL. Computerized Decision Support Systems for Mechanical Ventilation in Children. J Pediatr Intensive Care 2015; 5:95-100. [PMID: 31110892 DOI: 10.1055/s-0035-1568161] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Accepted: 07/10/2015] [Indexed: 10/22/2022] Open
Abstract
Mechanical ventilation is an effective treatment in the ICU but can have significant adverse effects. Approaches from adult research have been adopted in pediatric critical care despite known differences in respiratory physiology and ICU processes. There continues to be considerable variation in how ventilators are managed. Computerized decision support systems implement explicit protocols, and are designed to make mechanical ventilation management safer, more consistent, and more lung protective. Variable results and low or unknown compliance with protocols and CDSS tools have been reported. To date, there has been limited research regarding CDSS for mechanical ventilation in children.
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Affiliation(s)
- Katherine A Sward
- Department of Biomedical Informatics, College of Nursing, University of Utah, Salt Lake City, Utah, United States
| | - Christopher J L Newth
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles and Keck School of Medicine, University of Southern California, United States
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Goligher EC, Fan E, Slutsky AS. Year in review 2012: Critical Care--Respirology. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2013; 17:249. [PMID: 24267541 PMCID: PMC4056602 DOI: 10.1186/cc13129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Acute respiratory failure is a dominant feature of critical illness. In this review, we discuss 17 studies published last year in Critical Care. The discussion focuses on articles on several topics: respiratory monitoring, acute respiratory distress syndrome, noninvasive ventilation, airway management, secretion management and weaning.
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12
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Arnal JM, Garnero A, Novonti D, Demory D, Ducros L, Berric A, Donati SY, Corno G, Jaber S, Durand-Gasselin J. Feasibility study on full closed-loop control ventilation (IntelliVent-ASV™) in ICU patients with acute respiratory failure: a prospective observational comparative study. Crit Care 2013; 17:R196. [PMID: 24025234 PMCID: PMC4056360 DOI: 10.1186/cc12890] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2013] [Revised: 03/22/2013] [Accepted: 09/11/2013] [Indexed: 01/15/2023] Open
Abstract
INTRODUCTION IntelliVent-ASV™ is a full closed-loop ventilation mode that automatically adjusts ventilation and oxygenation parameters in both passive and active patients. This feasibility study compared oxygenation and ventilation settings automatically selected by IntelliVent-ASV™ among three predefined lung conditions (normal lung, acute respiratory distress syndrome (ARDS) and chronic obstructive pulmonary disease (COPD)) in active and passive patients. The feasibility of IntelliVent-ASV™ use was assessed based on the number of safety events, the need to switch to conventional mode for any medical reason, and sensor failure. METHOD This prospective observational comparative study included 100 consecutive patients who were invasively ventilated for less than 24 hours at the time of inclusion with an expected duration of ventilation of more than 12 hours. Patients were ventilated using IntelliVent-ASV™ from inclusion to extubation. Settings, automatically selected by the ventilator, delivered ventilation, respiratory mechanics, and gas exchanges were recorded once a day. RESULTS Regarding feasibility, all patients were ventilated using IntelliVent-ASV™ (392 days in total). No safety issues occurred and there was never a need to switch to an alternative ventilation mode. The fully automated ventilation was used for 95% of the total ventilation time. IntelliVent-ASV™ selected different settings according to lung condition in passive and active patients. In passive patients, tidal volume (VT), predicted body weight (PBW) was significantly different between normal lung (n = 45), ARDS (n = 16) and COPD patients (n = 19) (8.1 (7.3 to 8.9) mL/kg; 7.5 (6.9 to 7.9) mL/kg; 9.9 (8.3 to 11.1) mL/kg, respectively; P 0.05). In passive ARDS patients, FiO2 and positive end-expiratory pressure (PEEP) were statistically higher than passive normal lung (35 (33 to 47)% versus 30 (30 to 31)% and 11 (8 to 13) cmH2O versus 5 (5 to 6) cmH2O, respectively; P< 0.05). CONCLUSIONS IntelliVent-ASV™ was safely used in unselected ventilated ICU patients with different lung conditions. Automatically selected oxygenation and ventilation settings were different according to the lung condition, especially in passive patients. TRIAL REGISTRATION ClinicalTrials.gov: NCT01489085.
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Affiliation(s)
- Jean-Michel Arnal
- Service de Réanimation Polyvalente, Hôpital Sainte Musse, 54 avenue Henri Sainte Claire Deville, 83056 Toulon, France
- Department of Medical Research, Hamilton Medical, 8 via Crusch, 7402 Bonaduz, Switzerland
| | - Aude Garnero
- Service de Réanimation Polyvalente, Hôpital Sainte Musse, 54 avenue Henri Sainte Claire Deville, 83056 Toulon, France
| | - Dominik Novonti
- Department of Medical Research, Hamilton Medical, 8 via Crusch, 7402 Bonaduz, Switzerland
| | - Didier Demory
- Service de Réanimation Polyvalente, Hôpital Sainte Musse, 54 avenue Henri Sainte Claire Deville, 83056 Toulon, France
| | - Laurent Ducros
- Service de Réanimation Polyvalente, Hôpital Sainte Musse, 54 avenue Henri Sainte Claire Deville, 83056 Toulon, France
| | - Audrey Berric
- Service de Réanimation Polyvalente, Hôpital Sainte Musse, 54 avenue Henri Sainte Claire Deville, 83056 Toulon, France
| | - Stéphane Yannis Donati
- Service de Réanimation Polyvalente, Hôpital Sainte Musse, 54 avenue Henri Sainte Claire Deville, 83056 Toulon, France
| | - Gaëlle Corno
- Service de Réanimation Polyvalente, Hôpital Sainte Musse, 54 avenue Henri Sainte Claire Deville, 83056 Toulon, France
| | - Samir Jaber
- Hôpital Saint Eloi, CHU de Montpellier, 80 avenue Augustin Fliche, 34295 Montpellier, France
| | - Jacques Durand-Gasselin
- Service de Réanimation Polyvalente, Hôpital Sainte Musse, 54 avenue Henri Sainte Claire Deville, 83056 Toulon, France
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Abstract
Mechanical ventilation is a sophisticated technique with very narrow therapeutic ranges i.e. highly efficient and able to keep alive the most severe patients, but with considerable side effects and unwanted complications if not properly and timely used. Computerized protocols, closed loop systems, decision support, all terms which need to be defined, may help making mechanical ventilation safer and more efficient. The present paper will provide a short overview on technical and engineering considerations regarding closed loop controlled ventilation as well as tangible clinical evidences supporting the previous statement.
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