Manifestation & Effect of Patient-Ventilator Dysynchrony

患者-呼吸机的同步性是实现最佳氧合和通风的关键。然而，呼吸机 同步性很难量化。护士经常使用非常规方法评估患者-呼吸机不同步(PVD) 经验性的方法，不同步的临床表现不规范。识别有效 对这一现象的生物行为学措施将有助于临床医生减少机械手术的并发症。 通风。因此，该奖学金的具体目标是：1)确定生物行为标记物(生理学 患者-呼吸机不同步的稳定性、激动性和患者行为)和2)检查患者的效果 呼吸机对镇静作用的使用不同步。患者呼吸机不同步将使用以下方法识别 将在24小时内连续获得的气道压力波形的变化。传记- 在这项研究中评估的患者-呼吸机不同步的行为标记物将包括生理指标 不稳定(心率、血氧饱和度、呼吸频率)、激动(动作图)和对患者行为的直接观察- IOR以及镇静剂使用量。描述PVD将有助于临床医生早期准确地发现 不同步，这可能导致减少与机械通风和镇静相关的风险。

Patient-ventilator synchrony is critical in achieving optimal oxygenation and ventilation. However,ventilator synchrony is difficult to quantify. Nurses often asses patient-ventilator dysnchrony (PVD) using a non- empirical approach, and clinical manifestations of dysychrony are not standardized. Identifying valid biobehavioral measures of this phenomenon will assist clinicians to reduce the complications of mechanical ventilation. Thus, the specific aims of this fellowship are to: 1) Identify biobehavioral markers (physiologic stability, agitation and patient behavior) of patient-ventilator dysnchrony and 2) Examine the effect of patient ventilator dysynchrony on the use of sedation. Patient ventilator dysynchrony will be identified using changes in airway pressure waveforms that will be obtained continuously over a 24-hour period. The bio- behavioral markers of patient-ventilator dysynchrony to be evaluated in this study will include physiologic instability (heart rate, SaO2, respiratory rate), agitation (actigraphy) and direct observation of patient behav- iors as well as amount of sedation use. Describing PVD will assist clinicians in early and accurate detection of dysynchrony, which may lead to reduction in risks associated with mechanical ventilation and sedation.