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未选择的普通重症监护患者中,简单的通气和气体交换测量是否能预测早期成功脱机?

Do simple ventilation and gas exchange measurements predict early successful weaning from respiratory support in unselected general intensive care patients?

机构信息

Department of Cardiothoracic Anaesthesia and Intensive Care, Istituto Scientifico S. Raffaele, Via Olgettina 60, Milan 20132, Italy.

出版信息

Br J Anaesth. 2010 Sep;105(3):326-33. doi: 10.1093/bja/aeq184. Epub 2010 Jul 22.

Abstract

BACKGROUND

The value of respiratory variables as weaning predictors in the intensive care unit (ICU) is controversial. We evaluated the ability of tidal volume (Vt(exp)), respiratory rate (f), minute volume (MV(exp)), rapid shallow breathing index (f/Vt), inspired-expired oxygen concentration difference [(I-E)O(2)], and end-tidal carbon dioxide concentration (Pe'(co(2))) at the end of a weaning trial to predict early weaning outcomes.

METHODS

Seventy-three patients who required >24 h of mechanical ventilation were studied. A controlled pressure support weaning trial was undertaken until 5 cm H(2)O continuous positive airway pressure or predefined criteria were reached. The ability of data from the last 5 min of the trial to predict whether a predefined endpoint indicating discontinuation of ventilator support within the next 24 h was evaluated.

RESULTS

Pre-test probability for achieving the outcome was 44% in the cohort (n=32). Non-achievers were older, had higher APACHE II and organ failure scores before the trial, and higher baseline arterial H(+) concentrations. The Vt, MV, f, and f/Vt had no predictive power using a range of cut-off values or from receiver operating characteristic (ROC) analysis. The [I-E]O(2) and Pe'(co(2)) had weak discriminatory power [area under the ROC curve: [I-E]O(2) 0.64 (P=0.03); Pe'(co(2)) 0.63 (P=0.05)]. Using best cut-off values for [I-E]O(2) of 5.6% and Pe'(co(2)) of 5.1 kPa, positive and negative likelihood ratios were 2 and 0.5, respectively, which only changed the pre- to post-test probability by about 20%.

CONCLUSIONS

In unselected ICU patients, respiratory variables predict early weaning from mechanical ventilation poorly.

摘要

背景

在重症监护病房(ICU)中,呼吸变量作为撤机预测指标的价值存在争议。我们评估了潮气容积(Vt(exp))、呼吸频率(f)、分钟通气量(MV(exp))、浅快呼吸指数(f/Vt)、吸气-呼气氧浓度差[(I-E)O(2)]和呼气末二氧化碳浓度(Pe'(co(2)))在撤机试验结束时预测早期撤机结局的能力。

方法

研究了 73 名需要机械通气>24 小时的患者。进行了压力控制支持撤机试验,直到达到 5cmH2O 持续气道正压或预设标准。评估了试验最后 5 分钟的数据是否能够预测是否达到预设的终点,即在接下来的 24 小时内停止呼吸机支持。

结果

队列中达到该结果的预测试验概率为 44%(n=32)。未达到该结果的患者年龄较大,试验前的急性生理和慢性健康评分(APACHE II)和器官衰竭评分较高,基线动脉 H(+)浓度较高。使用各种截断值或接受者操作特征(ROC)分析,Vt、MV、f 和 f/Vt 均无预测能力。[I-E]O(2)和 Pe'(co(2))的区分能力较弱[ROC 曲线下面积:[I-E]O(2)为 0.64(P=0.03);Pe'(co(2))为 0.63(P=0.05)]。使用[I-E]O(2)最佳截断值为 5.6%和 Pe'(co(2))为 5.1kPa,阳性和阴性似然比分别为 2 和 0.5,仅使预测试验概率增加约 20%。

结论

在未选择的 ICU 患者中,呼吸变量预测早期机械通气撤机的效果较差。

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