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Distinct Mechanical Properties of the Respiratory System Evaluated by Forced Oscillation Technique in Acute Exacerbation of COPD and Acute Decompensated Heart Failure

机译:通过强制振荡技术评估呼吸系统的呼吸系统的不同力学性能急性加剧COPD和急性失代偿性心力衰竭

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摘要

Discriminating between cardiac and pulmonary dyspnea is essential for patients’ management. We investigated the feasibility and ability of forced oscillation techniques (FOT) in distinguishing between acute exacerbation of COPD (AECOPD), and acute decompensated heart failure (ADHF) in a clinical emergency setting. We enrolled 49 patients admitted to the emergency department (ED) for dyspnea and acute respiratory failure for AECOPD, or ADHF, and 11 healthy subjects. All patients were able to perform bedside FOT measurement. Patients with AECOPD showed a significantly higher inspiratory resistance at 5 Hz, Xrs5 (179% of predicted, interquartile range, IQR 94–224 vs. 100 IQR 67–149; p = 0.019), and a higher inspiratory reactance at 5 Hz (151%, IQR 74–231 vs. 57 IQR 49–99; p = 0.005) than patients with ADHF. Moreover, AECOPD showed higher heterogeneity of ventilation (respiratory system resistance difference at 5 and 19 Hz, Rrs5-19: 1.49 cmH2O/(L/s), IQR 1.03–2.16 vs. 0.44 IQR 0.22–0.76; p = 0.030), and a higher percentage of flow limited breaths compared to ADHF (10%, IQR 0–100 vs. 0 IQR 0–12; p = 0.030). FOT, which resulted in a suitable tool to be used in the ED setting, has the ability to identify distinct mechanical properties of the respiratory system in AECOPD and ADHF.
机译:心脏和肺呼吸困难之间的歧视对于患者的管理至关重要。我们调查了强制振荡技术(FOT)在区分COPD(AECOPD)的急性加剧之间的可行性和能力,以及在临床应急环境中急性失代偿的心力衰竭(ADHF)。我们注册了49名患者呼吁急诊部(ED)呼吸困难,呼吸困难和急性呼吸衰竭,或ADHF和11名健康受试者。所有患者都能够进行床头旁观测量。 AECOPD患者在5 Hz,XRS5(占预测,四分位数的179%,IQR 94-224与100 IQR 67-149; P = 0.019)的患者中显示出显着更高的吸气性耐受性耐受性耐受性耐高采烈的抗性(179%,IQR 67-149; P = 0.019),以及5 Hz的更高的吸气电抗(151 %,IQR 74-231与57 IQR 49-99; p = 0.005)比ADHF患者。此外,AECOPD表现出更高的通风异质性(5和19 Hz的呼吸系统抵抗差,RRS5-19:1.49cmH2O /(L / S),IQR 1.03-2.16与0.44 IQR 0.22-0.76; P = 0.030),与ADHF相比,较高百分比的流量有限的呼吸(10%,IQR 0-100与0 IQR 0-12; P = 0.030)。导致在ED设置中使用合适的工具的FOT能够识别AECOPD和ADHF中呼吸系统的不同机械性能。

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