Petzoldt Martin, Trepte Constantin J, Ridder Jan, Maisch Stefan, Klapsing Philipp, Kersten Jan F, Richter Hans Peter, Kubitz Jens C, Reuter Daniel A, Goepfert Matthias S
Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
PLoS One. 2017 Oct 19;12(10):e0186481. doi: 10.1371/journal.pone.0186481. eCollection 2017.
Monitoring cardiac output (CO) is important to optimize hemodynamic function in critically ill patients. The prevalence of aortic valve insufficiency (AI) is rising in the aging population. However, reliability of CO monitoring techniques in AI is unknown. The aim of this study was to investigate the impact of AI on accuracy, precision, and trending ability of transcardiopulmonary thermodilution-derived COTCPTD in comparison with pulmonary artery catheter thermodilution COPAC.
Sixteen anesthetized domestic pigs were subjected to serial simultaneous measurements of COPAC and COTCPTD. In a novel experimental model, AI was induced by retraction of an expanded Dormia basket in the aortic valve annulus. The Dormia basket was delivered via a Judkins catheter guided by substernal epicardial echocardiography. High (HPC), moderate (MPC) and low cardiac preload conditions (LPC) were induced by fluid unloading (20 ml kg-1 blood withdrawal) and loading (subsequent retransfusion of the shed blood and additional infusion of 20 ml kg-1 hydroxyethyl starch). Within each preload condition CO was measured before and after the onset of AI. For statistical analysis, we used a mixed model analysis of variance, Bland-Altman analysis, the percentage error and concordance analysis.
Experimental AI had a mean regurgitant volume of 33.6 ± 12.0 ml and regurgitant fraction of 42.9 ± 12.6%. The percentage error between COTCPTD and COPAC during competent valve function and after induction of substantial AI was: HPC 17.7% vs. 20.0%, MPC 20.5% vs. 26.1%, LPC 26.5% vs. 28.1% (pooled data: 22.5% vs. 24.1%). The ability to trend CO-changes induced by fluid loading and unloading did not differ between baseline and AI (concordance rate 95.8% during both conditions).
Despite substantial AI, transcardiopulmonary thermodilution reliably measured CO under various cardiac preload conditions with a good ability to trend CO changes in a porcine model. COTCPTD and COPAC were interchangeable in substantial AI.
监测心输出量(CO)对于优化危重症患者的血流动力学功能至关重要。在老龄化人群中,主动脉瓣关闭不全(AI)的患病率正在上升。然而,AI 中心输出量监测技术的可靠性尚不清楚。本研究的目的是调查与肺动脉导管热稀释法测量的心输出量(COPAC)相比,AI 对经心肺热稀释法测量的心输出量(COTCPTD)的准确性、精密度和趋势分析能力的影响。
对 16 只麻醉的家猪同时进行 COPAC 和 COTCPTD 的系列测量。在一个新的实验模型中,通过在主动脉瓣环中回缩扩张的多尔米亚篮来诱导 AI。多尔米亚篮通过胸骨旁心外膜超声心动图引导下的 Judkins 导管输送。通过液体卸载(20 ml/kg 放血)和加载(随后回输放出的血液并额外输注 20 ml/kg 羟乙基淀粉)诱导高(HPC)、中(MPC)和低心脏前负荷状态(LPC)。在每种前负荷状态下,在 AI 发作前后测量 CO。为了进行统计分析,我们使用了混合模型方差分析、Bland-Altman 分析、百分比误差和一致性分析。
实验性 AI 的平均反流容积为 33.6±12.0 ml,反流分数为 42.9±12.6%。在瓣膜功能正常和诱导出明显 AI 后,COTCPTD 和 COPAC 之间的百分比误差为:HPC 组 17.7%对 20.0%,MPC 组 20.5%对 26.1%,LPC 组 26.5%对 28.1%(汇总数据:22.5%对 24.1%)。在基线和 AI 状态下,由液体加载和卸载引起的 CO 变化的趋势分析能力没有差异(两种状态下的一致性率均为 95.8%)。
尽管存在明显的 AI,但在猪模型中,经心肺热稀释法在各种心脏前负荷条件下均能可靠地测量 CO,并且具有良好的 CO 变化趋势分析能力。在明显 AI 状态下,COTCPTD 和 COPAC 可相互替代。