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Статті в журналах з теми "Ventilator dyssynchrony"

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Garner, Daniel, and Priyank Patel. "https://www.journalmechanicalventilation.com/rapid-review-of-patient-ventilator-dyssynchrony/." Journal of Mechanical Ventilation 3, no. 3 (September 15, 2022): 133–40. http://dx.doi.org/10.53097/jmv.10058.

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Анотація:
Patient-Ventilator Dyssynchrony (PVD) is often described as a patient “fighting” the ventilator. In fact, there are many forms of dyssynchrony some of which can very subtle. If unrecognized early, dyssynchrony can evoke patient discomfort, increase incidence of lung injury, lead to oversedation, and lengthen duration of mechanical ventilation. Since start of the COVID-19 pandemic, many clinicians without critical care experience have been compelled to manage patients requiring mechanical ventilation. Many academic centers, hospital systems, and physician groups have attempted to provide educational material in efforts to prepare clinicians on how to operate a ventilator. During this frenzied time, very few resources have been made available to clinicians to rapidly recognize ventilator dyssynchrony as it occurs when taking care of these patients. The figures presented in this article depict dyssynchrony in Volume Control Ventilation (VCV) with a decelerating ramp of flow and are hand drawn. While they may not perfectly represent waveforms seen on ventilators, the patterns shown and described below will be similar.
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Grossbach, Irene, Linda Chlan, and Mary Fran Tracy. "Overview of Mechanical Ventilatory Support and Management of Patient- and Ventilator-Related Responses." Critical Care Nurse 31, no. 3 (June 1, 2011): 30–44. http://dx.doi.org/10.4037/ccn2011595.

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Nurses must be knowledgeable about the function and limitations of ventilator modes, causes of respiratory distress and dyssynchrony with the ventilator, and appropriate management in order to provide high-quality patient-centered care. Prompt recognition of problems and action by the nurse may resolve acute respiratory distress, dyspnea, and increased work of breathing and prevent adverse events. This article presents an overview of mechanical ventilation modes and the assessment and management of dyspnea and patient-ventilator dyssynchrony. Strategies to manage patients’ responses to mechanical ventilatory support and recommendations for staff education also are presented.
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Oto, Brandon, Janet Annesi, and Raymond J. Foley. "Patient–ventilator dyssynchrony in the intensive care unit: A practical approach to diagnosis and management." Anaesthesia and Intensive Care 49, no. 2 (March 2021): 86–97. http://dx.doi.org/10.1177/0310057x20978981.

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Patient–ventilator dyssynchrony or asynchrony occurs when, for any parameter of respiration, discordance exists between the patient’s spontaneous effort and the ventilator’s provided support. If not recognised, it may promote oversedation, prolong the duration of mechanical ventilation, create risk for lung injury, and generally confuse the clinical picture. Seven forms of dyssynchrony are common: (a) ineffective triggering; (b) autotriggering; (c) inadequate flow; (d) too much flow; (e) premature cycling; (f) delayed cycling; and (g) peak pressure apnoea. ‘Reverse triggering’ also occurs and may mimic premature cycling. Correct diagnosis of these phenomena often permits management by simple ventilator optimisation rather than by less desirable measures.
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Antonogiannaki, Elvira-Markela, Dimitris Georgopoulos, and Evangelia Akoumianaki. "Patient-Ventilator Dyssynchrony." Korean Journal of Critical Care Medicine 32, no. 4 (November 30, 2017): 307–22. http://dx.doi.org/10.4266/kjccm.2017.00535.

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De Oliveira, Bruno, Nahla Aljaberi, Ahmed Taha, Baraa Abduljawad, Fadi Hamed, Nadeem Rahman, and Jihad Mallat. "Patient–Ventilator Dyssynchrony in Critically Ill Patients." Journal of Clinical Medicine 10, no. 19 (September 30, 2021): 4550. http://dx.doi.org/10.3390/jcm10194550.

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Patient–ventilator dyssynchrony is a mismatch between the patient’s respiratory efforts and mechanical ventilator delivery. Dyssynchrony can occur at any phase throughout the respiratory cycle. There are different types of dyssynchrony with different mechanisms and different potential management: trigger dyssynchrony (ineffective efforts, autotriggering, and double triggering); flow dyssynchrony, which happens during the inspiratory phase; and cycling dyssynchrony (premature cycling and delayed cycling). Dyssynchrony has been associated with patient outcomes. Thus, it is important to recognize and address these dyssynchronies at the bedside. Patient–ventilator dyssynchrony can be detected by carefully scrutinizing the airway pressure–time and flow–time waveforms displayed on the ventilator screens along with assessing the patient’s comfort. Clinicians need to know how to depict these dyssynchronies at the bedside. This review aims to define the different types of dyssynchrony and then discuss the evidence for their relationship with patient outcomes and address their potential management.
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MacIntyre, Neil. "Managing Patient-Ventilator Dyssynchrony*." Critical Care Medicine 49, no. 12 (November 18, 2021): 2149–51. http://dx.doi.org/10.1097/ccm.0000000000005154.

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MacIntyre, Neil R., Robert McConnell, Kuo-Chen G. Cheng, and Aneysa Sane. "Patient-ventilator flow dyssynchrony." Critical Care Medicine 25, no. 10 (October 1997): 1671–77. http://dx.doi.org/10.1097/00003246-199710000-00016.

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Hess, Dean. "Ventilator Circuits, Humidification and Ventilator-Associated Pneumonia." Canadian Respiratory Journal 3, no. 6 (1996): 397–402. http://dx.doi.org/10.1155/1996/972402.

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Анотація:
Technical issues in the care of mechanically ventilated patients include those related to the ventilator circuit, humidification and ventilator-associated pneumonia. Principal issues related to ventilator circuits include leaks and compression volume. Circuit compression volume affects delivered tidal volume as well as measurements of auto-positive end-expiratory pressure and mixed expiredPCO2. Resistance through the ventilator circuit contributes to patient-ventilator dyssynchrony during assisted modes of mechanical ventilation. Adequate humidification of inspired gas is necessary to prevent heat and moisture loss. Common methods of humidification of inspired gas during mechanical ventilation include use of active heated humidifiers and passive artificial noses. Artificial noses are less effective than active humidifiers and are best suited to short term use. With active humidifiers, the circuit can be heated to avoid condensate formation. However, care must be exercised when heated circuits are used to avoid delivery of a low relative humidity and subsequent drying of secretions in the artificial airway. Although pneumonia is a complication of mechanical ventilation, these pneumonias are usually the result of aspiration of pharyngeal secretions and are seldom related to the ventilator circuit. Ventilator circuits do not need to be changed more frequently than weekly for infection control purposes, and the incidence of ventilator-associated pneumonia may be greater with more frequent circuit changes.
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Lydon, A. M., M. Doyle, and M. B. Donnelly. "Ventilator-Patient Dyssynchrony Induced by Change in Ventilation Mode." Anaesthesia and Intensive Care 29, no. 3 (June 2001): 273–75. http://dx.doi.org/10.1177/0310057x0102900309.

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Kondili, Eumorfia, Nektaria Xirouchaki, and Dimitris Georgopoulos. "Modulation and treatment of patient–ventilator dyssynchrony." Current Opinion in Critical Care 13, no. 1 (February 2007): 84–89. http://dx.doi.org/10.1097/mcc.0b013e328011278d.

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Дисертації з теми "Ventilator dyssynchrony"

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Mellott, Karen. "Patient Ventilator Dyssynchrony: Types, Frequency and Patterns in Critically Ill Adults." VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/2084.

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Patient ventilator dyssynchrony (PVD) occurs frequently, but little is known about the types, frequency and patterns of PVD for longer than 30 minutes. Deeper levels of sedation are associated with PVD. Evaluation of ventilator graphics and the ability to identify PVD should assist clinicians to optimize patient ventilator interactions and promote earlier interventions. The purpose of this study was to identify the different types, frequency and patterns of PVD in critically ill adults and determine the effect of sedation level on PVD. Thirty medical and surgical ICU adult patients were enrolled; 27 were used for analysis. Pressure/time and flow/ time waveform data were collected using the Noninvasive Cardiac Output monitor for up to 90 minutes per subject. Blinded waveform analysis was performed. Sedation level was measured every 20 minutes. A Dyssynchrony Index (DI) and PVD Type Indices were used to describe PVD frequency. Lag analysis was used to detect associated patterns of PVD. PVD occurred during all phases of ventilated breaths and during each of the ventilatory modes used. Heretofore undocumented dyssynchrony in the form of patient gasp PVD, active triggers and combined PVDs were found. The most common type of PVD was Ineffective Trigger (63%), followed by Premature Termination-Flow (17%), Premature Termination (9%), Multiple Trigger (1%), Flow (0.87%) and Delayed Termination (0.09%). The overall frequency of dyssynchronous breaths in the sample was 23% of total breaths analyzed, however 93% of subjects experienced at least one incident of PVD. The overall median DI (Interquartile Range [IQR]) was 4% (1% - 9%) with Ineffective Trigger Index having the highest median index (1.78%). The high DI group (6 subjects, 22%) had a DI (IQR) of 61% (42% - 85%). Seventy seven percent of subjects experienced multiple types of PVD. Premature Termination was followed by Multiple Triggers starting at 3 seconds, but Delayed Termination was followed by Ineffective Triggers, starting at 30 seconds. Clinicians need to recognize PVD, since this is a critical step in evaluating patient ventilator interaction and providing subsequent intervention. PVD interpretation is complex requiring clinicians to clearly understand the operational function of ventilator modes and waveform alterations that occur.
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Arisara, Patthum. "The effectiveness and safety of neurally adjusted ventilatory assist iviechanical ventilation compared to pressure support ventilation in optimizing patient venfilator synchrony in critically ill patients: a systematic review and meta-analysis." Thesis, 2019. http://hdl.handle.net/2440/120555.

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Background: Patient ventilator dyssynchrony is a physical characteristic of suboptimal interaction between patient and ventilator. Some primary clinical studies using neurally adjusted ventilatory assist compared to pressure support suggest it improves patient ventilator synchrony and reduces hospital mortality. With conflicting study outcomes, a systematic review of the effectiveness and safety of neutrally adjusted ventilatory assist is warranted. Objectives: This systematic review aimed to evaluate the effectiveness of neutrally adjusted ventilatory assist (NAVA) compared to pressure support ventilation (PSV) in optimizing patient ventilator synchrony in critically ill adult patients in intensive care unit (ICU). Methods: Seven databases ; the Cochrane Central Register of Controlled Trials, MEDLINE (PubMed), EMBASE, SCOPUS, ClinicalTrials.gov, Web of Science and CINAHL were searched using the following terms: neurally adjusted ventilatory assist, NAVA, neural trigger, interactive ventilatory support, respiration, artificial, mechanical ventilation, patient ventilator asynchrony, synchrony, asynchrony, dyssynchrony. The last search was conducted in April 2018. This review included studies that evaluated the use of NAVA compared with PSV in adult patients who required invasively mechanical ventilation. Outcomes of interest included the frequency of patient ventilator dyssynchrony (PVD) and mortality from all causes. The methodological quality of included studies was assessed, and the data were extracted by using standard forms. Standardized mean differences (SMDs) were calculated for continuous data and risk ratios for dichotomous data, both with 95% CIs. Results: A total of 1,078 articles were identified, for which 210 full text articles were reviewed. In total 17 studies met inclusion criteria. The outcome data were available for approximately 90% of participant (n=398). Neurally adjusted ventilatory assist significantly reduced the AI% by nearly one half of standard deviation; SMD 0.401, 95% CI 0.223 to 0.57, p value 0.000 and I2 0.00% (fixed effect model; two RCTs,128 participants). It was maintained in crossover study group ; SMD 0.304, 95% CI: 0.079 to 0.528, p value 0.008 and I2 75.85% (random effects model, 13 crossover studies, 347 participants). The reduction of the AI% estimated effect size was found to be larger in a sedated group; SMD 0.413, 95% CI: 0.125 to 0.702, p value 0.005 and I2 71.24% than a non-sedated group; SMD 0.225, 95% CI: - 0.208 to 0.659, p value 0.308 and I2 86.76% (random effects model, 10 studies, 248 participants). In addition, a higher reduction of AI% effect size was found in a treatment duration longer than an hour group; SMD 0.413, 95% CI:0.044 to 0.782, p value 0.028 and I2 0.00% than a shorter than an hour group; SMD 0.287, 95% CI:0.069 to 0.505, p value 0.010 and I2 77.62% ( random effects model, 13 studies,301 participants). Similarly, in a 20- minute and longer PVD event-measurement time group found that NAVA reduced AI% more than in a shorter than 20-minute PVD event -measurement time group; SMD 0.389, 95% CI: 0.109 to 0.668, p value 0.006 and I2 0.00% and SMD 0.267, 95% CI: 0.024 to 0.510, p value 0.031 and I2 82.18%, respectively ( random effects model, 13 studies, 301 participants). Neurally adjusted ventilatory assist was associated with a reduction of the risk of AI>10%; OR 0.688,95% CI:0.514 to 0.921, p value 0.012 and I2 21.93%). It significantly reduced the NeuroSync index; SMD 0.745, 95% CI:0.316 to 1.175, p value 0.001 and I2 0.00% (fixed effect model, two studies, 24 participants). In addition, patients in the NAVA group had a lower patient ventilator asynchrony % than in the PSV group in both two levels of assistance; NAVA-low and NAVA-high (Mean ± SD) 7±2% and 7±2%; PSV-low and PSV-high 18±13% and 23±12%, respectively. Patient ventilated with NAVA had a lower ICU mortality compared to the PSV; OR 0.610, 95% CI:0.263 to 1.418, p value 0.251 and I2 0.00% (fixed effect model, two RCTs, 153 participants). Conclusion: Neurally adjusted ventilatory assist is associated with a reduction of PVD frequency compared with PSV. However, effect on lowering the ICU mortality rate is uncertain.
Thesis (MClinSc) -- University of Adelaide, The Joanna Briggs Institute, 2019
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Частини книг з теми "Ventilator dyssynchrony"

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Poor, Hooman. "Patient-Ventilator Dyssynchrony." In Basics of Mechanical Ventilation, 75–93. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89981-7_7.

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De Oliveira, Bruno, and Jihad Mallat. "Patient-Ventilator Dyssynchrony." In Personalized Mechanical Ventilation, 269–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14138-6_21.

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Lena, Enrico, José Aquino-Esperanza, Leonardo Sarlabous, Umberto Lucangelo, and Lluis Blanch. "Evaluation and Management of Ventilator-Patient Dyssynchrony." In Cardiopulmonary Monitoring, 715–28. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73387-2_46.

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Sassoon, C. S. H., T. S. Gallacher, and A. Manka. "Physiopathological Determinants of Patient-Ventilator Interaction and Dyssynchrony During Weaning." In Mechanical Ventilation and Weaning, 193–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56112-2_13.

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Khilnani, Praveen, and Deepika Singhal. "Patient Ventilator Dyssynchrony." In Pediatric & Neonatal Mechanical Ventilation, 70. Jaypee Brothers Medical Publishers (P) Ltd., 2011. http://dx.doi.org/10.5005/jp/books/11443_6.

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Тези доповідей конференцій з теми "Ventilator dyssynchrony"

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Jonkman, A., M. Holleboom, H. De Vries, M. Vriends, P. R. Tuinman, and L. Heunks. "Expiratory Muscle Relaxation-Induced Ventilator Triggering (ERIT): a novel patient-ventilator dyssynchrony." In ERS Respiratory Failure and Mechanical Ventilation Conference 2022 abstracts. European Respiratory Society, 2022. http://dx.doi.org/10.1183/23120541.rfmvc-2022.44.

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Mellott, Karen G., Mary Jo Grap, Cindy L. Munro, Curtis N. Sessler, Paul A. Wetzel, Jon O. Nilsestuen, Jesse M. Ketchum, and Annette Devito Dabbs. "Patient Ventilator Dyssynchrony: Types, Frequency And Patterns In Critically Ill Adults." In American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a3223.

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Sottile, P. D., B. J. Smith, D. Albers, and M. Moss. "Utilizing Machine Learning and Esophageal Pressure to Detect Ventilator Dyssynchrony and Delineate the Potential for Ventilator Induced Lung Injury." In American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA. American Thoracic Society, 2022. http://dx.doi.org/10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a3435.

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McGuire, W. C., M. Moss, D. Albers, and P. D. Sottile. "Nonpharmacological Interventions to Reduce Ventilator Dyssynchrony in Patients with the Acute Respiratory Distress Syndrome." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a1135.

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Damiani, F., D. Engelberts, L. Bastia, K. Osada, B. H. Katira, G. Otulakowski, E. C. Goligher, W. D. Reid, A. Bruhn, and L. J. Brochard. "A Protective Ventilation Approach Results in Reverse Triggering Dyssynchrony in an Experimental Model of Acute Lung Injury." In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a2875.

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