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Ríos-Castro F, González-Seguel F, Molina J. Respiratory drive, inspiratory effort, and work of breathing: review of definitions and non-invasive monitoring tools for intensive care ventilators during pandemic times. Medwave 2022; 22:e8724. [DOI: 10.5867/medwave.2022.03.002550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 04/28/2022] [Indexed: 11/27/2022] Open
Abstract
Technological advances in mechanical ventilation have been essential to increasing the survival rate in intensive care units. Usually, patients needing mechanical ventilation use controlled ventilation to override the patient’s respiratory muscles and favor lung protection. Weaning from mechanical ventilation implies a transition towards spontaneous breathing, mainly using assisted mechanical ventilation. In this transition, the challenge for clinicians is to avoid under and over assistance and minimize excessive respiratory effort and iatrogenic diaphragmatic and lung damage. Esophageal balloon monitoring allows objective measurements of respiratory muscle activity in real time, but there are still limitations to its routine application in intensive care unit patients using mechanical ventilation. Like the esophageal balloon, respiratory muscle electromyography and diaphragmatic ultrasound are minimally invasive tools requiring specific training that monitor respiratory muscle activity. Particularly during the coronavirus disease pandemic, non invasive tools available on mechanical ventilators to monitor respiratory drive, inspiratory effort, and work of breathing have been extended to individualize mechanical ventilation based on patient’s needs. This review aims to identify the conceptual definitions of respiratory drive, inspiratory effort, and work of breathing and to identify non invasive maneuvers available on intensive care ventilators to measure these parameters. The literature highlights that although respiratory drive, inspiratory effort, and work of breathing are intuitive concepts, even distinguished authors disagree on their definitions.
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Accuracy of Algorithms and Visual Inspection for Detection of Trigger Asynchrony in Critical Patients : A Systematic Review. Crit Care Res Pract 2021; 2021:6942497. [PMID: 34621546 PMCID: PMC8492248 DOI: 10.1155/2021/6942497] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 09/04/2021] [Indexed: 11/29/2022] Open
Abstract
Objective This study aimed to summarize the accuracy of the different methods for detecting trigger asynchrony at the bedside in mechanically ventilated patients. Method A systematic review was conducted from 1990 to 2020 in PubMed, Lilacs, Scopus, and ScienceDirect databases. The reference list of the identified studies, reviews, and meta-analyses was also manually searched for relevant studies. The reference standards were esophageal pressure catheter and/or electrical activity of the diaphragm. Studies were assessed following the QUADAS-2 recommendations, while the review was prepared according to the PRISMA criteria. Results One thousand one hundred and eleven studies were selected, and four were eligible for analysis. Esophageal pressure was the predominant reference standard, while visual inspection and algorithms/software comprised index tests. The trigger asynchrony, ineffective expiratory effort, double triggering, and reverse triggering were analyzed. Sensitivity and specificity ranged from 65.2% to 99% and 80% to 100%, respectively. Positive predictive values reached 80.3 to 100%, while the negative predictive values reached 92 to 100%. Accuracy could not be calculated for most studies. Conclusion Algorithms/software validated directly or indirectly using reference standards present high sensitivity and specificity, with a diagnostic power similar to visual inspection of experts.
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Vahedi NB, Ramazan-Yousif L, Andersen TS, Jensen HI. Implementation of Neurally Adjusted Ventilatory Assist (NAVA): Patient characteristics and staff experiences. J Healthc Qual Res 2020; 35:253-260. [PMID: 32536580 DOI: 10.1016/j.jhqr.2020.03.008] [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: 04/30/2019] [Revised: 02/06/2020] [Accepted: 03/09/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVE The objective of the study was to describe the implementation of Neurally Adjusted Ventilatory Assist (NAVA) by characteristics of patients receiving NAVA and by staff-experienced opportunities and barriers. METHODS Design. A retrospective review of hospital records of mechanically ventilated patients over two time periods after implementation, as well as a questionnaire survey and interviews with staff. SETTING A secondary Danish ICU. PARTICIPANTS ICU patients, nurses, and intensivists. INTERVENTION Implementation of NAVA, which included theoretical education, bedside training, and frequent updates. MAIN OUTCOME MEASURE Evaluation of NAVA implementation measured by characteristics of patients receiving NAVA and staff experiences with NAVA. RESULTS A total of 311 patients were included. Hereof 43 (27%) and 68 (44%) patients, respectively, had recieved NAVA. The patients receiving NAVA had higher severity scores and more hours on ventilators. A total of 35 nurses (76%) and 16 physicians (64%) completed the questionnaire. Most clinicians found, to a high (43%) or very high (41%) degree, that NAVA was an effective therapy option. Furthermore, 77% did not experience any barriers regarding NAVA therapy. The main advantages experienced with NAVA were increased patient comfort, respiratory synchrony with the ventilator, and improved opportunities for monitoring patient respiratory performance. The main disadvantage was the need for additional theoretical and practical knowledge. CONCLUSION Despite staff experience of NAVA as a beneficial treatment option, more than half of the patients did not receive NAVA treatment two years after the start of its implementation. Implementation of a therapy which is substantially different to earlier practices is complicated.
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Affiliation(s)
- N B Vahedi
- Department of Anaesthesiology and Intensive Care, Vejle and Middelfart Hospitals, Beriderbakken 4, 7100 Vejle, Denmark.
| | - L Ramazan-Yousif
- Department of Anaesthesiology and Intensive Care, Vejle and Middelfart Hospitals, Beriderbakken 4, 7100 Vejle, Denmark
| | - T S Andersen
- Department of Anaesthesiology and Intensive Care, Vejle and Middelfart Hospitals, Beriderbakken 4, 7100 Vejle, Denmark
| | - H I Jensen
- Department of Anaesthesiology and Intensive Care, Vejle and Middelfart Hospitals, Beriderbakken 4, 7100 Vejle, Denmark; Institute of Regional Health Research, University of Southern Denmark, J.B. Winsløwsvej 19, 5000 Odense, Denmark
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Abstract
Advances in intensive care unit (ICU) therapeutics are plentiful and rooted in technological enhancements as well as recognition of patient care priorities. A plethora of new devices and modes are available for use to enhance patient safety and support liberation from mechanical ventilation while preserving oxygenation and carbon dioxide clearance. Increased penetrance of closed loop systems is one means to reduce care variation in appropriate populations. The intelligent design of the ICU space needs to integrate the footprint of that device and the data streaming from it into a coherent whole that supports patient, family, and caregivers.
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Affiliation(s)
- Brian Weiss
- Perelman School of Medicine, University of Pennsylvania, 51 North 39th Street, MOB 1, Philadelphia, PA 19104, USA
| | - Lewis J Kaplan
- Perelman School of Medicine, University of Pennsylvania, 51 North 39th Street, MOB 1, Philadelphia, PA 19104, USA; Surgical Critical Care, Corporal Michael J Crescenz VA Medical Center, 3900 Woodland Avenue, Philadelphia, PA 19104, USA; Division of Trauma, Surgical Critical Care and Emergency Surgery, Perelman School of Medicine, University of Pennsylvania, 51 North 39th Street, MOB 1, Philadelphia, PA 19104, USA.
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Villar J, Belda J, Blanco J, Suarez-Sipmann F, Añón JM, Pérez-Méndez L, Ferrando C, Parrilla D, Montiel R, Corpas R, González-Higueras E, Pestaña D, Martínez D, Fernández L, Soro M, García-Bello MA, Fernández RL, Kacmarek RM. Neurally adjusted ventilatory assist in patients with acute respiratory failure: study protocol for a randomized controlled trial. Trials 2016; 17:500. [PMID: 27737690 PMCID: PMC5064782 DOI: 10.1186/s13063-016-1625-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Accepted: 09/25/2016] [Indexed: 12/25/2022] Open
Abstract
Background Patient-ventilator asynchrony is a common problem in mechanically ventilated patients with acute respiratory failure. It is assumed that asynchronies worsen lung function and prolong the duration of mechanical ventilation (MV). Neurally Adjusted Ventilatory Assist (NAVA) is a novel approach to MV based on neural respiratory center output that is able to trigger, cycle, and regulate the ventilatory cycle. We hypothesized that the use of NAVA compared to conventional lung-protective MV will result in a reduction of the duration of MV. It is further hypothesized that NAVA compared to conventional lung-protective MV will result in a decrease in the length of ICU and hospital stay, and mortality. Methods/design This is a prospective, multicenter, randomized controlled trial in 306 mechanically ventilated patients with acute respiratory failure from several etiologies. Only patients ventilated for less than 5 days, and who are expected to require prolonged MV for an additional 72 h or more and are able to breathe spontaneously, will be considered for enrollment. Eligible patients will be randomly allocated to two ventilatory arms: (1) conventional lung-protective MV (n = 153) and conventional lung-protective MV with NAVA (n = 153). Primary outcome is the number of ventilator-free days, defined as days alive and free from MV at day 28 after endotracheal intubation. Secondary outcomes are total length of MV, and ICU and hospital mortality. Discussion This is the first randomized clinical trial examining, on a multicenter scale, the beneficial effects of NAVA in reducing the dependency on MV of patients with acute respiratory failure. Trial registration ClinicalTrials.gov website (NCT01730794). Registered on 15 November 2012. Electronic supplementary material The online version of this article (doi:10.1186/s13063-016-1625-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jesús Villar
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Monforte de Lemos 3-5, Pabellon 11, 28029, Madrid, Spain. .,Multidisciplinary Organ Dysfunction Evaluation Research Network, Research Unit, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n, 4th Floor-South Wing, 35019, Las Palmas de Gran Canaria, Spain. .,Keenan Research Center for Biomedical Science at the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond St, Toronto, ON, M5B 1W8, Canada.
| | - Javier Belda
- Department of Anesthesiology, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibañez 17, 46010, Valencia, Spain
| | - Jesús Blanco
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Monforte de Lemos 3-5, Pabellon 11, 28029, Madrid, Spain.,Intensive Care Unit, Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012, Valladolid, Spain
| | - Fernando Suarez-Sipmann
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Monforte de Lemos 3-5, Pabellon 11, 28029, Madrid, Spain.,Hedenstierna Laboratory, Department of Surgical Sciences, Uppsala University Hospital, Akademiska Sjukhuset, Ing 40, Tr 3, SE-75185, Uppsala, Sweden
| | - José Manuel Añón
- Intensive Care Unit, Hospital Virgen de La Luz, Hermandad de Donantes de Sangre s/n, 16002, Cuenca, Spain
| | - Lina Pérez-Méndez
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Monforte de Lemos 3-5, Pabellon 11, 28029, Madrid, Spain.,Division of Clinical Epidemiology and Biostatistics, Research Unit, Hospital Universitario NS de Candelaria, Carretera General del Rosario 145, 38010, Santa Cruz de Tenerife, Spain
| | - Carlos Ferrando
- Department of Anesthesiology, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibañez 17, 46010, Valencia, Spain
| | - Dácil Parrilla
- Intensive Care Unit, Hospital Universitario NS de Candelaria, Carretera General del Rosario 145, 38010, Santa Cruz de Tenerife, Spain
| | - Raquel Montiel
- Intensive Care Unit, Hospital Universitario NS de Candelaria, Carretera General del Rosario 145, 38010, Santa Cruz de Tenerife, Spain
| | - Ruth Corpas
- Intensive Care Unit, Hospital General NS del Prado, Carretera de Madrid, Km. 114, 45600, Talavera de la Reina, Toledo, Spain
| | - Elena González-Higueras
- Intensive Care Unit, Hospital Virgen de La Luz, Hermandad de Donantes de Sangre s/n, 16002, Cuenca, Spain
| | - David Pestaña
- Department of Anesthesiology, Hospital Universitario Ramón y Cajal, Carretera de Colmenar Viejo, Km. 9,100, 28034, Madrid, Spain
| | - Domingo Martínez
- Intensive Care Unit, Hospital Universitario Virgen de la Arrixaca, Carretera Madrid-Cartagena s/n, 30120, El Palmar, Murcia, Spain
| | - Lorena Fernández
- Intensive Care Unit, Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012, Valladolid, Spain
| | - Marina Soro
- Department of Anesthesiology, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibañez 17, 46010, Valencia, Spain
| | - Miguel Angel García-Bello
- Division of Biostatistics, Research Unit, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n, 35019, Las Palmas de Gran Canaria, Spain
| | - Rosa Lidia Fernández
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Monforte de Lemos 3-5, Pabellon 11, 28029, Madrid, Spain.,Multidisciplinary Organ Dysfunction Evaluation Research Network, Research Unit, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n, 4th Floor-South Wing, 35019, Las Palmas de Gran Canaria, Spain
| | - Robert M Kacmarek
- Department of Respiratory Care, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA.,Department of Anesthesiology, Harvard University, 55 Fruit Street Gray-Bigelow 444, Boston, MA, 02144, USA
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