Manifestation & Effect of Patient-Ventilator Dysynchrony

表现

• 批准号: 7229591
• 负责人: Karen G. Mellott
• 金额: $ 3.33万
• 依托单位: VIRGINIA COMMONWEALTH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-15 至 2009-04-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7229591
• 关键词: Agitation; Anxiety; Asses; Behavior; Behavioral; Cardiovascular system; Caring; Client; Clinical; Clinical Nurse Specialists; Critical Illness; Data; Dependence; Detection; Diagnostic tests; Economic Burden; Ensure; Environmental air flow; Evaluation; Fatigue; Fellowship; Gases; Gross National Product; Healthcare; Heart Rate; Hospitalization; Hour; Hypercapnia; Injury; Intensive Care Units; Lead; Measures; Mechanical ventilation; Methods; Nurses; Patient observation; Patients; Physicians; Physiological; Rate; Reporting; Research; Research Personnel; Respiratory Muscles; Rest; Risk; Sedation procedure; Sleep; Technology; Tube; United States; Ventilator; Work; Workload; actigraphy; base; biobehavior; cost; design; endotracheal; improved; pressure; prevent; respiratory

DESCRIPTION (provided by applicant): 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 behaviors 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.

描述（由申请人提供）：患者与呼吸机的同步对于实现最佳氧合和通气至关重要。然而，呼吸机同步性很难量化。护士经常使用非经验方法评估患者与呼吸机不同步（PVD），并且不同步的临床表现并未标准化。确定这种现象的有效生物行为措施将有助于临床医生减少机械通气的并发症。因此，该研究金的具体目标是：1）确定患者呼吸机不同步的生物行为标志物（生理稳定性、激越和患者行为）；2）检查患者呼吸机不同步对镇静使用的影响。将通过 24 小时内连续获得的气道压力波形的变化来识别患者呼吸机不同步。本研究中要评估的患者-呼吸机不同步的生物行为标志物将包括生理不稳定（心率、SaO2、呼吸频率）、躁动（体动记录仪）和对患者行为的直接观察以及镇静剂的使用量。描述 PVD ​​将有助于临床医生及早、准确地检测不同步，这可能会降低与机械通气和镇静相关的风险。