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A diaphragmatic electrical activity-based optimization strategy during pressure support ventilation improves synchronization but does not impact work of breathing

机译:压力支持通气期间基于隔膜电活动的优化策略可改善同步性,但不会影响呼吸工作

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BackgroundPoor patient-ventilator synchronization is often observed during pressure support ventilation (PSV) and has been associated with prolonged duration of mechanical ventilation and poor outcome. Diaphragmatic electrical activity (Eadi) recorded using specialized nasogastric tubes is a surrogate of respiratory brain stem output. This study aimed at testing whether adapting ventilator settings during PSV using a protocolized Eadi-based optimization strategy, or Eadi-triggered and -cycled assisted pressure ventilation (or PSVN) could (1) improve patient-ventilator interaction and (2) reduce or normalize patient respiratory effort as estimated by the work of breathing (WOB) and the pressure time product (PTP). MethodsThis was a prospective cross-over study. Patients with a known chronic pulmonary obstructive or restrictive disease, asynchronies or suspected intrinsic positive end-expiratory pressure (PEEP) who were ventilated using PSV were enrolled in the study. Four different ventilator settings were sequentially applied for 15?minutes (step 1: baseline PSV as set by the clinician, step 2: Eadi-optimized PSV to adjust PS level, inspiratory trigger, and cycling settings, step 3: step 2?+?PEEP adjustment, step 4: PSVN). The same settings as step 3 were applied again after step 4 to rule out a potential effect of time. Breathing pattern, trigger delay (Td), inspiratory time in excess (Tiex), pressure-time product (PTP), and work of breathing (WOB) were measured at the end of each step. ResultsEleven patients were enrolled in the study. Eadi-optimized PSV reduced Td without altering Tiex in comparison with baseline PSV. PSVN reduced Td and Tiex in comparison with baseline and Eadi-optimized PSV. Respiratory pattern did not change during the four steps. The improvement in patient-ventilator interaction did not lead to changes in WOB or PTP. ConclusionsEadi-optimized PSV allows improving patient ventilator interaction but does not alter patient effort in patients with mild asynchrony. Trial registrationClinicaltrials.gov identifier: NCT 02067403 . Registered 7 February 2014.
机译:背景技术在压力支持通气(PSV)期间经常观察到患者-呼吸机同步性差,并且与机械通气时间延长和预后不良有关。使用专门的鼻胃管记录的肌电活动(Eadi)是呼吸性脑干输出的替代物。这项研究旨在测试使用基于协议的基于Eadi的优化策略调整PSV期间的呼吸机设置,或使用Eadi触发和循环的辅助压力通气(或PSV N )是否可以(1)改善患者呼吸机交互作用;(2)通过呼吸功(WOB)和压力时间乘积(PTP)来估计或减轻患者的呼吸努力。方法这是一项前瞻性交叉研究。使用PSV进行通气的患有已知慢性肺阻塞或限制性疾病,不同步或怀疑内在呼气末正压通气(PEEP)的患者参加了研究。依次应用四种不同的呼吸机设置15分钟(步骤1:由临床医生设定的基线PSV,步骤2:通过Eadi优化的PSV调整PS水平,吸气触发和骑行设置,步骤3:步骤2? PEEP调整,第4步:PSV N )。在步骤4之后再次应用与步骤3相同的设置,以排除时间的潜在影响。测量呼吸模式,触发延迟(T d ),吸气时间过长(T iex ),压力时间乘积(PTP)和呼吸功(WOB)在每个步骤的最后。结果11例患者被纳入研究。与基线PSV相比,Eadi优化的PSV减少了T d 而未改变T iex 。与基线和Eadi优化的PSV相比,PSV N 降低了T d 和T iex 。在这四个步骤中,呼吸模式没有改变。患者-呼吸机相互作用的改善并未导致WOB或PTP的改变。结论Eadi优化的PSV可以改善患者呼吸机的相互作用,但不会改变轻度异步患者的努力程度。试用registrationClinicaltrials.gov标识符:NCT 02067403。 2014年2月7日注册。

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