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首页> 外文期刊>Journal of clinical monitoring and computing >Detection of respiratory compromise by acoustic monitoring, capnography, and brain function monitoring during monitored anesthesia care
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Detection of respiratory compromise by acoustic monitoring, capnography, and brain function monitoring during monitored anesthesia care

机译:在监测的麻醉护理过程中,通过声学监测,二氧化碳描记法和脑功能监测来检测呼吸系统损害

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Episodes of apnea in sedated patients represent a risk of respiratory compromise. We hypothesized that acoustic monitoring would be equivalent to capnography for detection of respiratory pauses, with fewer false alarms. In addition, we hypothesized that the patient state index (PSI) would be correlated with the frequency of respiratory pauses and therefore could provide information about the risk of apnea during sedation. Patients undergoing sedation for surgical procedures were monitored for respiration rate using acoustic monitoring and capnography and for depth of sedation using the PSI. A clinician blinded to the acoustic and sedation monitor observed the capnograph and patient to assess sedation and episodes of apnea. Another clinician retrospectively reviewed the capnography and acoustic waveform and sound files to identify true positive and false positive respiratory pauses by each method (reference method). Sensitivity, specificity, and likelihood ratio for detection of respiratory pause was calculated for acoustic monitoring and capnography. The correlation of PSI with respiratory pause events was determined. For the 51 respiratory pauses validated by retrospective analysis, the sensitivity, specificity, and likelihood ratio positive for detection were 16, 96 %, and 3.5 for clinician observation; 88, 7 %, and 1.0 for capnography; and 55, 87 %, and 4.1 for acoustic monitoring. There was no correlation between PSI and respiratory pause events. Acoustic monitoring had the highest likelihood ratio positive for detection of respiratory pause events compared with capnography and clinician observation and, therefore, may provide the best method for respiration rate monitoring during these procedures.
机译:镇静患者的呼吸暂停发作代表呼吸系统受损的风险。我们假设声学监测等同于二氧化碳图监测呼吸暂停,虚假警报更少。此外,我们假设患者状态指数(PSI)与呼吸暂停的频率相关,因此可以提供有关镇静期间呼吸暂停风险的信息。使用声学监测和二氧化碳描记术监测接受手术镇静的患者的呼吸频率,并使用PSI监测镇静深度。对声学和镇静监控器不知情的临床医生观察了二氧化碳分析仪和患者以评估镇静和呼吸暂停发作。另一位临床医生回顾性分析了二氧化碳图,声波波形和声音文件,以通过每种方法(参考方法)识别出真阳性和假阳性呼吸暂停。计算出用于检测呼吸暂停的灵敏度,特异性和似然比,以进行声学监测和二氧化碳描记。确定了PSI与呼吸暂停事件的相关性。通过回顾性分析验证的51个呼吸暂停,检测出的阳性灵敏度,特异性和似然比分别为16%,96%和3.5%。二氧化碳分析分别为88、7%和1.0; 55%,87%和4.1用于声音监控。 PSI与呼吸暂停事件之间没有相关性。与二氧化碳描记法和临床医生观察相比,声波监测对呼吸暂停事件的检测具有最高的阳性似然比,因此,在这些程序中,声波监测可能是监测呼吸频率的最佳方法。

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