目的 观察利用人工气道内温度节律性变化原理设计的控制呼吸持续性监护仪在不同人群和不同人工气道内的应用，探讨其监测控制呼吸持续性的可行性和有效性，为临床呼吸监测提供新方法。 方法 选择择期行全身麻醉术的成人患者60例，1~3岁幼儿患者30例，美国麻醉师协会（ASA）分级Ⅰ-Ⅱ级；60例成人患者随机分为成人气管插管组（ATI组）和成人喉罩组（ALM组），每组30例，1~3岁幼儿患者30例设为幼儿气管插管组（CTI组）。全麻诱导后，CTI组和ATI组患者行气管插管，ALM组患者置入喉罩，连接麻醉机行机械通气，连接控制呼吸持续性监护仪，观察监护仪是否能探测出各组患者呼吸频率（RR），比较各组监护仪探测的RR和麻醉机设定频率；3组患者均于手术开始前模拟呼吸回路断开、麻醉机手控未转换为机控和呼吸回路缓慢漏气3种临床常见控制呼吸持续性改变场景，比较各组间监护仪发出报警方式和报警时间。 结果 3组患者应用控制呼吸持续性监护仪均能检测出RR，各组内患者RR和麻醉机设定频率比较差异无统计学意义（P>0.05）。在模拟3种常见呼吸持续性改变的场景中，3组患者呼吸持续性监护仪均发出内容为“注意，呼吸停止”的人工语音报警信号，报警信号均被注意到，ATI组和ALM组控制呼吸持续性监护仪开始报警时间比较差异无统计学意义（P>0.05）。与回路缓慢漏气比较，同一组患者呼吸回路断开和手控未转换为机控场景时开始报警时间缩短（P<0.05）。 结论 在不同人群和不同人工气道内利用探测人工气道内温度节律性升降变化原理设计的控制呼吸持续性监护仪临床应用具有可行性及有效性，可为术中呼吸持续性监测和保障呼吸安全提供新方法。

Objective To observe the application of the controlled respiratory persistence monitor designed based on the principle of rhythmic temperature variations in artificial airways among different populations and in various artificial airways， and to discuss the feasibility and efficacy of monitoring controlled respiration persistence， and to provide a new method for the clinical respiratory monitoring. Methods A total of 60 adult patients scheduled for general anesthesia， and 30 pediatric patients aged from 1 to 3 years old， classified as American Society of Anesthesiologists （ASA） Ⅰ-Ⅱ， were selected. A total of 60 adult patients were randomly divided into adult tracheal intubation （ATI） group and adult laryngeal mask（ALM） group， and there were 30 cases in each group. Additionally， 30 pediatric patients aged from 1 to 3 years old were regarded as pediatric tracheal intubation （CTI） group. After induction of general anesthesia， the patients in CTI and ATI groups were underwent tracheal intubation， while the patients in ALM group were given a laryngeal mask inserted and were connected to the anesthesia machine for mechanical ventilation. Whether or not the device could detect the respiratory rate （RR）of the patients in various groups was observed； the RR detected by the device and the frequency set on the anesthesia machine in various groups were compared. All the patients in three groups were simulated three common clinical scenarios of continuous respiration changes before surgery： disconnection of the breathing circuit， failure to switch from manual to mechanical control on the anesthesia machine， and slow air leakage in the breathing circuit. The ways to report the alert and start time of the atarm by the monitors were compared. Results The controlled respiratory persistence monitor was able to detect the RR of the patients in three groups， and there was no significantly difference between the RR detected by the device and the frequency set on the anesthesia machine （P>0.05）. In the simulated scenarios of common respiratory persistence changes， all the patients in three groups received an artificial voice alarm signaling “Attention， breathing has stopped.”， which was acknowledged. There was no significant difference in the start time of alarm of the controlled respiratory persistence monitor between ATI group and ALM group （P>0.05）. Compared with the start time of alarm of the patients in the same group across different scenarios， compared with slow air leakage in the breathing circuit， the start time to alarm for circuit disconnection and failure to switch from manual to mechanical control was shorter （P<0.05）. Conclusion The clinical application of the controlled respiratory persistence monitor device designed based on the principle of detecting rhythmic temperature variations within artificial airways is feasible and effective in different populations and artificial airways. This device offers a new method for monitoring the respiratory continuity and ensuring the respiratory safety during surgery.