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Neural control of pressure support ventilation improved patient-ventilator synchrony in patients with different respiratory system mechanical properties: a prospective, crossover trial

BACKGROUND: Conventional pressure support ventilation (PS(P)) is triggered and cycled off by pneumatic signals such as flow. Patient-ventilator asynchrony is common during pressure support ventilation, thereby contributing to an increased inspiratory effort. Using diaphragm electrical activity, neur...

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Detalles Bibliográficos
Autores principales: Liu, Ling, Xu, Xiao-Ting, Yu, Yue, Sun, Qin, Yang, Yi, Qiu, Hai-Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846453/
https://www.ncbi.nlm.nih.gov/pubmed/33470654
http://dx.doi.org/10.1097/CM9.0000000000001357
Descripción
Sumario:BACKGROUND: Conventional pressure support ventilation (PS(P)) is triggered and cycled off by pneumatic signals such as flow. Patient-ventilator asynchrony is common during pressure support ventilation, thereby contributing to an increased inspiratory effort. Using diaphragm electrical activity, neurally controlled pressure support (PS(N)) could hypothetically eliminate the asynchrony and reduce inspiratory effort. The purpose of this study was to compare the differences between PS(N) and PS(P) in terms of patient-ventilator synchrony, inspiratory effort, and breathing pattern. METHODS: Eight post-operative patients without respiratory system comorbidity, eight patients with acute respiratory distress syndrome (ARDS) and obvious restrictive acute respiratory failure (ARF), and eight patients with chronic obstructive pulmonary disease (COPD) and mixed restrictive and obstructive ARF were enrolled. Patient-ventilator interactions were analyzed with macro asynchronies (ineffective, double, and auto triggering), micro asynchronies (inspiratory trigger delay, premature, and late cycling), and the total asynchrony index (AI). Inspiratory efforts for triggering and total inspiration were analyzed. RESULTS: Total AI of PS(N) was consistently lower than that of PS(P) in COPD (3% vs. 93%, P = 0.012 for 100% support level; 8% vs. 104%, P = 0.012 for 150% support level), ARDS (8% vs. 29%, P = 0.012 for 100% support level; 16% vs. 41%, P = 0.017 for 150% support level), and post-operative patients (21% vs. 35%, P = 0.012 for 100% support level; 15% vs. 50%, P = 0.017 for 150% support level). Improved support levels from 100% to 150% statistically increased total AI during PS(P) but not during PS(N) in patients with COPD or ARDS. Patients’ inspiratory efforts for triggering and total inspiration were significantly lower during PS(N) than during PS(P) in patients with COPD or ARDS under both support levels (P < 0.05). There was no difference in breathing patterns between PS(N) and PS(P). CONCLUSIONS: PS(N) improves patient-ventilator synchrony and generates a respiratory pattern similar to PS(P) independently of any level of support in patients with different respiratory system mechanical properties. PS(N), which reduces the trigger and total patient's inspiratory effort in patients with COPD or ARDS, might be an alternative mode for PS(P). TRIAL REGISTRATION: ClinicalTrials.gov, NCT01979627; https://clinicaltrials.gov/ct2/show/record/NCT01979627.