Bien Mauo-Ying, Hseu Shu-Shya, Yien Huey-Wen, Kuo Benjamin Ing-Tiau, Lin Yu-Ting, Wang Jia-Horng, Kou Yu Ru
Institute of Physiology, School of Medicine, National Yang-Ming University, 11221, Taipei, Taiwan, Republic of China.
Department of Respiratory Therapy, Taipei Veterans General Hospital, 11217, Taipei, Taiwan, Republic of China.
Intensive Care Med. 2004 Feb;30(2):241-247. doi: 10.1007/s00134-003-2073-8. Epub 2003 Nov 26.
To investigate whether breathing pattern variability can serve as a potential weaning predictor for postoperative patients recovering from systemic inflammatory response syndrome (SIRS).
A prospective measurement of retrospectively analyzed breathing pattern variability in a surgical intensive care unit.
Seventy-eight mechanically ventilated SIRS patients who had undergone abdominal surgery were included when they were ready for weaning. They were divided into success (n=57) and failure (n=21) groups based upon their weaning outcome.
Before weaning, tidal volume, total breath duration, inspiratory time, expiratory time, and peak inspiratory flow were continuously monitored for 30 min, while patients received 5 cmH2O pressure support weaning trial. After the patients successfully completed the trial, they were extubated. Successful weaning was defined as patients free from the ventilator for over 48 h, whereas a weaning failure was considered as reinstitution of mechanical ventilation within 48 h of extubation. The coefficient of variation and two values of standard deviation (SD1 and SD2; indicators of the dispersion of data points in the plot) obtained from the Poincaré plot of five respiratory parameters in the failure group were significantly lower than those in the success group. The area under the receiver operating characteristic curve of these variability indices was within the range of 0.73-0.80, indicating the accuracy of prediction.
Small breathing pattern variability is associated with a high incidence of weaning failure in postoperative patients recovering from SIRS, and this variability may potentially serve as a weaning predictor.
探讨呼吸模式变异性是否可作为全身炎症反应综合征(SIRS)术后恢复患者撤机的潜在预测指标。
在外科重症监护病房对回顾性分析的呼吸模式变异性进行前瞻性测量。
纳入78例接受腹部手术且机械通气的SIRS患者,当他们准备撤机时进行研究。根据撤机结果将他们分为成功组(n = 57)和失败组(n = 21)。
在撤机前,对患者进行5 cmH2O压力支持撤机试验,同时连续监测潮气量、总呼吸时长、吸气时间、呼气时间和吸气峰流速30分钟。患者成功完成试验后进行拔管。成功撤机定义为患者脱离呼吸机超过48小时,而撤机失败则被视为拔管后48小时内重新进行机械通气。失败组五个呼吸参数的Poincaré图获得的变异系数和两个标准差数值(SD1和SD2;数据点在图中的离散指标)显著低于成功组。这些变异性指标的受试者工作特征曲线下面积在0.73 - 0.80范围内,表明预测准确性。
呼吸模式变异性小与SIRS术后恢复患者撤机失败的高发生率相关,这种变异性可能潜在地作为撤机预测指标。