目的:探讨ETCO2监测在颅内动脉瘤介入治疗中的临床价值。方法:选取2014年7月-2015年10月本院收治的60例颅内动脉瘤介入治疗患者作为研究对象,按照入院顺序随机分为A、B、C、D四组,每组各15例,术中通过调节麻醉机潮气量及呼吸频率控制E...目的:探讨ETCO2监测在颅内动脉瘤介入治疗中的临床价值。方法:选取2014年7月-2015年10月本院收治的60例颅内动脉瘤介入治疗患者作为研究对象,按照入院顺序随机分为A、B、C、D四组,每组各15例,术中通过调节麻醉机潮气量及呼吸频率控制ETCO2达到每组试验要求水平,比较四组患者的术中不良反应发生情况及围术期各临床指标变化。结果:B组患者术中不良反应发生率低于其他3组,且围术期各临床指标优于其他3组,与其他组比较,比较差异均有统计学意义(P〈0.05)。结论:通过对颅内动脉瘤介入术中ETCO2水平的临床监测发现,当ETCO2水平控制在30~35 mm Hg时,有助于防止术中脑血管痉挛和维持心率血压稳定,使脑血管保持最适合的张力有利于手术操作顺利进行,为颅内动脉瘤介入治疗提供安全可靠的麻醉方法,值得临床推广应用。展开更多
目的:发生急性大块肺栓塞时血流动力学不稳定,监测肺动脉压力可以评价溶栓疗效。我们持续监测潮气末二氧化碳分压(end-tidal CO2 tension,ETCO2)的变化,作为替代肺动脉托管的非创伤性指标。方法:选择12名急性大块肺栓塞并已接受机...目的:发生急性大块肺栓塞时血流动力学不稳定,监测肺动脉压力可以评价溶栓疗效。我们持续监测潮气末二氧化碳分压(end-tidal CO2 tension,ETCO2)的变化,作为替代肺动脉托管的非创伤性指标。方法:选择12名急性大块肺栓塞并已接受机械通气治疗的患者,溶栓治疗中持续监测平均肺动脉压力(mean pulmonary arterial pressure,MPAP)和ETCO2,同时每小时监测二氧化碳分压,心指数及呼吸指数(PaO2/FiO2)。展开更多
The end tidal carbon dioxide(EtCO2)is crucial for monitoring patients respiratory function,which reflects the status of lung ventilation and gas exchange.Therefore,achieving accurate measurements of EtCO2holds s...The end tidal carbon dioxide(EtCO2)is crucial for monitoring patients respiratory function,which reflects the status of lung ventilation and gas exchange.Therefore,achieving accurate measurements of EtCO2holds significant importance in clinical practice.The measurements of EtCO2based on wavelength modulation-direct absorption spectroscopy(WM-DAS)had great advantages and the noise reduction of spectrum was very important.An optimized variational mode decomposition(VMD)algorithm improved by the dung beetle optimization algorithm and wavelet packet denoising algorithm was proposed to enhance the measurement accuracy of EtCO2concentration.The dung beetle optimization algorithm was used to obtain the optimal number of decomposition mode layers K and secondary penalty factorα.The optimal parameters were used to decompose the original transmitted light intensity signal with noise,and a series of intrinsic mode functions(IMFs)were obtained.Pearson correlation coefficient(R)was used to select the pure signal and the noisy signal,and the noisy signal was denoised by wavelet packet denoising algorithm.The transmitted light intensity signal was reconstructed by the signal processed by wavelet packet denoising algorithm and the pure signal.The results showed that the proposed algorithm could effectively remove the noise of signal of transmitted light intensity and improve the accuracy of concentration measurements of EtCO2.展开更多
摘要目的:探讨ETCO2监测在颅内动脉瘤介入治疗中的临床价值。方法:选取2014年7月-2015年10月本院收治的60例颅内动脉瘤介入治疗患者作为研究对象,按照入院顺序随机分为A、B、C、D四组,每组各15例,术中通过调节麻醉机潮气量及呼吸频率控制ETCO2达到每组试验要求水平,比较四组患者的术中不良反应发生情况及围术期各临床指标变化。结果:B组患者术中不良反应发生率低于其他3组,且围术期各临床指标优于其他3组,与其他组比较,比较差异均有统计学意义(P〈0.05)。结论:通过对颅内动脉瘤介入术中ETCO2水平的临床监测发现,当ETCO2水平控制在30~35 mm Hg时,有助于防止术中脑血管痉挛和维持心率血压稳定,使脑血管保持最适合的张力有利于手术操作顺利进行,为颅内动脉瘤介入治疗提供安全可靠的麻醉方法,值得临床推广应用。
基金supported by the Key Research and Development Program of Hebei Province(No.22375415D).
摘要The end tidal carbon dioxide(EtCO2)is crucial for monitoring patients respiratory function,which reflects the status of lung ventilation and gas exchange.Therefore,achieving accurate measurements of EtCO2holds significant importance in clinical practice.The measurements of EtCO2based on wavelength modulation-direct absorption spectroscopy(WM-DAS)had great advantages and the noise reduction of spectrum was very important.An optimized variational mode decomposition(VMD)algorithm improved by the dung beetle optimization algorithm and wavelet packet denoising algorithm was proposed to enhance the measurement accuracy of EtCO2concentration.The dung beetle optimization algorithm was used to obtain the optimal number of decomposition mode layers K and secondary penalty factorα.The optimal parameters were used to decompose the original transmitted light intensity signal with noise,and a series of intrinsic mode functions(IMFs)were obtained.Pearson correlation coefficient(R)was used to select the pure signal and the noisy signal,and the noisy signal was denoised by wavelet packet denoising algorithm.The transmitted light intensity signal was reconstructed by the signal processed by wavelet packet denoising algorithm and the pure signal.The results showed that the proposed algorithm could effectively remove the noise of signal of transmitted light intensity and improve the accuracy of concentration measurements of EtCO2.