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Quantification of respiratory sounds by a continuous monitoring system can be used to predict complications after extubation: a pilot study
Journal of Clinical Monitoring and Computing ( IF 2.0 ) Pub Date : 2022-06-22 , DOI: 10.1007/s10877-022-00884-4
Kazuya Kikutani 1 , Shinichiro Ohshimo 1 , Takuma Sadamori 1 , Shingo Ohki 1 , Hiroshi Giga 1 , Junki Ishii 1 , Hiromi Miyoshi 1 , Kohei Ota 1 , Mitsuaki Nishikimi 1 , Nobuaki Shime 1
Affiliation  

To show that quantification of abnormal respiratory sounds by our developed device is useful for predicting respiratory failure and airway problems after extubation. A respiratory sound monitoring system was used to collect respiratory sounds in patients undergoing extubation. The recorded respiratory sounds were subsequently analyzed. We defined the composite poor outcome as requiring any of following medical interventions within 48 h as defined below. This composite outcome includes reintubation, surgical airway management, insertion of airway devices, unscheduled use of noninvasive ventilation or high-flow nasal cannula, unscheduled use of inhaled medications, suctioning of sputum by bronchoscopy and unscheduled imaging studies. The quantitative values (QV) for each abnormal respiratory sound and inspiratory sound volume were compared between composite outcome groups and non-outcome groups. Fifty-seven patients were included in this study. The composite outcome occurred in 18 patients. For neck sounds, the QVs of stridor and rhonchi were significantly higher in the outcome group vs the non-outcome group. For anterior thoracic sounds, the QVs of wheezes, rhonchi, and coarse crackles were significantly higher in the outcome group vs the non-outcome group. For bilateral lateral thoracic sounds, the QV of fine crackles was significantly higher in the outcome group vs the non-outcome group. Cervical inspiratory sounds volume (average of five breaths) immediately after extubation was significantly louder in the outcome group vs non-outcome group (63.3 dB vs 54.3 dB, respectively; p < 0.001). Quantification of abnormal respiratory sounds and respiratory volume may predict respiratory failure and airway problems after extubation.



中文翻译:

连续监测系统对呼吸音的量化可用于预测拔管后的并发症:一项初步研究

表明我们开发的设备对异常呼吸音的量化有助于预测拔管后的呼吸衰竭和气道问题。呼吸音监测系统用于采集拔管患者的呼吸音。随后分析记录的呼吸音。我们将复合不良结果定义为需要在 48 小时内进行以下任何医疗干预,定义如下。这一复合结果包括重新插管、手术气道管理、气道装置插入、非预定使用无创通气或高流量鼻插管、非预定使用吸入药物、支气管镜吸痰和非预定影像学检查。比较复合结果组和非结果组之间每种异常呼吸音和吸气音量的定量值 (QV)。这项研究包括 57 名患者。复合结果发生在 18 名患者中。对于颈部声音,结果组的喘鸣和干韵的 QV 明显高于非结果组。对于前胸音,与非结果组相比,结果组的哮鸣音、干啰音和粗湿啰音的 QV 显着更高。对于双侧胸音,结果组的细爆裂音 QV 明显高于非结果组。结果组与非结果组相比,拔管后即刻的颈部吸气音量(五次呼吸的平均值)明显更响(63.3 dB 对 54.3 dB,分别; p < 0.001)。异常呼吸音和呼吸量的量化可以预测拔管后的呼吸衰竭和气道问题。

更新日期:2022-06-22
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