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Degree of convexity calculated from expiratory flow-volume curves for identifying airway obstruction in nonsedated and nonparalyzed ventilated patients
Respiratory Physiology & Neurobiology ( IF 2.3 ) Pub Date : 2021-07-07 , DOI: 10.1016/j.resp.2021.103739
Yen-Liang Kuo , Jiann-Hwa Kao , Yen-Wen Chen , Jia-Horng Wang , Chia-Chen Lu , Hsin-Kuo Ko

The predictive performance of applying the degree of convexity in expiratory flow-volume (EFV) curves to detect airway obstruction in ventilated patients has yet to be investigated. We enrolled 33 nonsedated and nonparalyzed mechanically ventilated patients and found that the degree of convexity had a significant negative correlation with FEV1% predicted. The mean degree of convexity in EFV curves in the chronic obstructive pulmonary disease (COPD) group (n = 18) was significantly higher than that in the non-COPD group (n = 15; 26.37 % ± 11.94 % vs. 17.24 % ± 10.98 %, p = 0.030) at a tidal volume of 12 mL/kg IBW. A degree of convexity in the EFV curve > 16.75 at a tidal volume of 12 mL/kg IBW effectively differentiated COPD from non-COPD (AUC = 0.700, sensitivity = 77.8 %, specificity = 53.3 %, p = 0.051). The degree of convexity calculated from EFV curves may help physicians to identify ventilated patients with airway obstruction.



中文翻译:

根据呼气流量曲线计算凸度以识别非镇静和非瘫痪通气患者的气道阻塞

应用呼气流量-体积 (EFV) 曲线凸度检测通气患者气道阻塞的预测性能尚待研究。我们招募了 33 名非镇静和非瘫痪机械通气患者,发现凸度与 FEV 1 % 预测值呈显着负相关。慢性阻塞性肺疾病 (COPD) 组 (n = 18) 的 EFV 曲线平均凸度显着高于非 COPD 组 (n = 15; 26.37 % ± 11.94 % vs. 17.24 % ± 10.98 %, p= 0.030),潮气量为 12 mL/kg IBW。在 12 mL/kg IBW 的潮气量下,EFV 曲线的凸度 > 16.75 可有效区分 COPD 和非 COPD(AUC = 0.700,敏感性 = 77.8 %,特异性 = 53.3 %,p = 0.051)。从 EFV 曲线计算出的凸度可以帮助医生识别气道阻塞的通气患者。

更新日期:2021-07-12
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