根据机械通气患者的中心静脉压估算肺转压。

IF 2 3区 医学 Q2 ANESTHESIOLOGY
Federico Franchi, Emanuele Detti, Alberto Fogagnolo, Savino Spadaro, Gabriele Cevenini, Gennaro Cataldo, Tommaso Addabbo, Cesare Biuzzi, Daniele Marianello, Carlo Alberto Volta, Fabio Silvio Taccone, Sabino Scolletta
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The aim of the study was to evaluate the accuracy of CVP and filtered CVP swings (ΔCVP and Δf-CVP, respectively) in estimating esophageal respiratory swings (ΔP<sub>ES</sub>) and compare P<sub>L</sub> calculated with CVP, f-CVP and P<sub>ES;</sub> then we tested the diagnostic accuracy of the f-CVP method to identify unsafe high P<sub>L</sub> levels, defined as P<sub>L</sub>>10 cmH<sub>2</sub>O. Twenty patients with acute respiratory failure (defined as PaO<sub>2</sub>/FiO<sub>2</sub> ratio below 200 mmHg) treated with invasive mechanical ventilation and monitored with an esophageal balloon and central venous catheter were enrolled prospectively. For each patient a recording session at baseline was performed, repeated if a modification in ventilatory settings occurred. 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引用次数: 0

摘要

跨肺压(PL)的计算需要食管压(PES)作为胸膜压(Ppl)的替代物,但其校准是一项繁琐的技术。中心静脉压(CVP)的波动可以反映 Ppl 的潮汐变化,因此可以用来代替 PES,但由于心跳引起的压力变化的叠加,CVP 波形的解释可能比较困难。因此,我们开发了一种能够去除心脏噪音的数字滤波器,以获得滤波 CVP(f-CVP)。研究的目的是评估 CVP 和滤波 CVP 波形(分别为 ΔCVP 和 Δf-CVP)在估算食管呼吸波形(ΔPES)时的准确性,并比较用 CVP、f-CVP 和 PES 计算出的 PL;然后测试 f-CVP 方法在识别不安全的高 PL 水平(即 PL>10 cmH2O)时的诊断准确性。20 名急性呼吸衰竭患者(定义为 PaO2/FiO2 比值低于 200 mmHg)接受了有创机械通气治疗,并使用食管球囊和中心静脉导管进行监测。对每位患者进行基线记录,如果通气设置发生变化,则重复记录。同时记录吸气末和呼气暂停时的 PES、CVP 和气道压力;离线分析 CVP、f-CVP 和 PES 波形,并用于计算跨肺压(分别为 PLCVP、PLf-CVP 和 PLPES)。Δf-CVP与ΔPES的相关性优于ΔCVP(r = 0.8,p = 0.001 vs. r = 0.08,p = 0.73),在布兰德-阿尔特曼分析中,PLf-CVP的偏差更小(平均偏差-0.16,协议限(LoA)-1.31,0.98 cmH2O vs. 平均偏差-0.79,协议限-3.14,1.55 cmH2O)。PLf-CVP 和 PLCVP 与 PLPES 都有很好的相关性(r = 0.98,p Lf-CVP (0.15, LoA - 0.95, 1.26 cmH2O vs. 0.80, LoA - 1.51, 3.12, cmH2O)。PLf-CVP 对高 PL 值的判别率为接收者操作特征曲线下面积 0.99(标准差,SD,0.02)(AUC 差 = 0.01 [-0.024; 0.05],P = 0.48)。在急性呼吸衰竭的机械通气患者中,数字滤波 CVP 估计值 ΔPES 和数字滤波 CVP 得出的 PL 代表了食管法测定的标准 PL 的可靠值,并能识别非保护性通气设置的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimation of the transpulmonary pressure from the central venous pressure in mechanically ventilated patients.

Estimation of the transpulmonary pressure from the central venous pressure in mechanically ventilated patients.

Transpulmonary pressure (PL) calculation requires esophageal pressure (PES) as a surrogate of pleural pressure (Ppl), but its calibration is a cumbersome technique. Central venous pressure (CVP) swings may reflect tidal variations in Ppl and could be used instead of PES, but the interpretation of CVP waveforms could be difficult due to superposition of heartbeat-induced pressure changes. Thus, we developed a digital filter able to remove the cardiac noise to obtain a filtered CVP (f-CVP). The aim of the study was to evaluate the accuracy of CVP and filtered CVP swings (ΔCVP and Δf-CVP, respectively) in estimating esophageal respiratory swings (ΔPES) and compare PL calculated with CVP, f-CVP and PES; then we tested the diagnostic accuracy of the f-CVP method to identify unsafe high PL levels, defined as PL>10 cmH2O. Twenty patients with acute respiratory failure (defined as PaO2/FiO2 ratio below 200 mmHg) treated with invasive mechanical ventilation and monitored with an esophageal balloon and central venous catheter were enrolled prospectively. For each patient a recording session at baseline was performed, repeated if a modification in ventilatory settings occurred. PES, CVP and airway pressure during an end-inspiratory and -expiratory pause were simultaneously recorded; CVP, f-CVP and PES waveforms were analyzed off-line and used to calculate transpulmonary pressure (PLCVP, PLf-CVP, PLPES, respectively). Δf-CVP correlated better than ΔCVP with ΔPES (r = 0.8, p = 0.001 vs. r = 0.08, p = 0.73), with a lower bias in Bland Altman analysis in favor of PLf-CVP (mean bias - 0.16, Limits of Agreement (LoA) -1.31, 0.98 cmH2O vs. mean bias - 0.79, LoA - 3.14, 1.55 cmH2O). Both PLf-CVP and PLCVP correlated well with PLPES (r = 0.98, p < 0.001 vs. r = 0.94, p < 0.001), again with a lower bias in Bland Altman analysis in favor of PLf-CVP (0.15, LoA - 0.95, 1.26 cmH2O vs. 0.80, LoA - 1.51, 3.12, cmH2O). PLf-CVP discriminated high PL value with an area under the receiver operating characteristic curve 0.99 (standard deviation, SD, 0.02) (AUC difference = 0.01 [-0.024; 0.05], p = 0.48). In mechanically ventilated patients with acute respiratory failure, the digital filtered CVP estimated ΔPES and PL obtained from digital filtered CVP represented a reliable value of standard PL measured with the esophageal method and could identify patients with non-protective ventilation settings.

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来源期刊
CiteScore
4.30
自引率
13.60%
发文量
144
审稿时长
6-12 weeks
期刊介绍: The Journal of Clinical Monitoring and Computing is a clinical journal publishing papers related to technology in the fields of anaesthesia, intensive care medicine, emergency medicine, and peri-operative medicine. The journal has links with numerous specialist societies, including editorial board representatives from the European Society for Computing and Technology in Anaesthesia and Intensive Care (ESCTAIC), the Society for Technology in Anesthesia (STA), the Society for Complex Acute Illness (SCAI) and the NAVAt (NAVigating towards your Anaestheisa Targets) group. The journal publishes original papers, narrative and systematic reviews, technological notes, letters to the editor, editorial or commentary papers, and policy statements or guidelines from national or international societies. The journal encourages debate on published papers and technology, including letters commenting on previous publications or technological concerns. The journal occasionally publishes special issues with technological or clinical themes, or reports and abstracts from scientificmeetings. Special issues proposals should be sent to the Editor-in-Chief. Specific details of types of papers, and the clinical and technological content of papers considered within scope can be found in instructions for authors.
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