人工气道阻力智慧预警系统的研发及应用研究

doi:10.3761/j.issn.2096-7446.2025.06.005

Abstract

Abstract:

Objective To develop artificial airway resistance intelligent warning system to detect the secretions early for patients with mechanical ventilation，and explore its effect in improving the intervention rate of secretions and reducing the viscosity of artificial airway secretions. Methods In May 2022，we started to develop an artificial airway resistance intelligent early warning system based on Internet of Things technology to achieve closed-loop intelligent management of artificial airway secretion viscosity. From March to April 2023，it was applied in the Department of Internal intensive Care Medicine and the Department of Surgical Intensive Care Medicine of a tertiary class A hospital in Zhejiang Province. The intervention rate of artificial airway secretion and the viscosity rate of artificial airway secretion in patients with mechanical ventilation after the application of the system（March to April 2023） and before the application（March to April 2022） were compared. Results After the system application，the intervention rate of artificial airway secretion increased from 14.2% to 25.8%，and the viscosity rate of artificial airway secretion decreased from 45.3% to 24.5%，with statistical significance（P<0.05）. Conclusion The application of intelligent early warning system of artificial airway resistance based on Internet of Things technology can improve the intervention rate of artificial airway secretion and reduce the viscosity of secretion.

Key words: Intensive Care Units, Internet of Things, Artificial Airway, Secretion, Airway Resistance, Warning, Nursing Administration Research

WANG Weizhong, ZHOU Yaoying, LIU Weidong. Development and application of intelligent warning system for artificial airway resistance[J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(6): 671-675.

Figures/Tables 1

References 20

[1]	Boqué MC, Gualis B, Sandiumenge A,et al. Endotracheal tube intraluminal diameter narrowing after mechanical ventilation:use of acoustic reflectometry[J]. Intensive Care Med, 2004, 30(12):2204-2209.
[2]	Coutinho WM, Vieira PJC, Kutchak FM,et al. Comparison of mechanical insufflation-exsufflation and endotracheal suctioning in mechanically ventilated patients:effects on respiratory mechanics,hemodynamics,and volume of secretions[J]. Indian J Crit Care Med, 2018, 22(7):485-490.
[3]	Brady Scott J, Dubosky MN, Vines DL,et al. Evaluation of endotracheal tube scraping on airway resistance[J]. Respir Care, 2017, 62(11):1423-1427. doi: 10.4187/respcare.05391 pmid: 28790149
[4]	Mietto C, Pinciroli R, Piriyapatsom A,et al. Tracheal tube obstruction in mechanically ventilated patients assessed by high-resolution computed tomography[J]. Anesthesiology, 2014, 121(6):1226-1235. doi: 10.1097/ALN.0000000000000455 pmid: 25254903
[5]	中华医学会呼吸病学分会呼吸治疗学组. 成人气道分泌物的吸引专家共识(草案)[J]. 中华结核和呼吸杂志, 2014, 37(11):809-811.
	Respiratory Therapy Group of Respiratory Medicine Branch of Chinese Medical Association. Expert consensus on attraction of airway secretions in adults(Draft)[J]. Chin J Tuberc Respir Dis, 2014, 37(11):809-811.
[6]	Maghsoodi B, Sabetian G, Azimi A,et al. Sound level analysis in endotracheal tube obstruction in spontaneous breathing and mechanical ventilation-an animal model study[J]. J Clin Monit Comput, 2017, 31(6):1235-1240. doi: 10.1007/s10877-016-9973-y pmid: 28025752
[7]	Pedersen TH, Ueltschi F, Hornshaw T,et al. Optimisation of air-way management strategies:a prospective before-and-after study on events related to airway management[J]. Br J Anaesth, 2021, 127(5):798-806.
[8]	Kawati R, Vimlati L, Guttmann J,et al. Change in expiratory flow detects partial endotracheal tube obstruction in pressure-controlled ventilation[J]. Anesth Analg, 2006, 103(3):650-657. pmid: 16931676
[9]	Menezes Júnior JDN, Silva LM, Santos LJM,et al. Reproducibil-ity of respiratory mechanics measurements in patients on inva-sive mechanical ventilation[J]. Rev Bras Ter Intensiva,2020, 32(3):398-404.
[10]	Dexter AM, Brady Scott J. Airway management and ventilator-associated events[J]. Respir Care, 2019, 64(8):986-993. doi: 10.4187/respcare.07107 pmid: 31346073
[11]	Care AAFR, Restrepo RD, Walsh BK. Humidification during invasive and noninvasive mechanical ventilation:2012[J]. Respir Care, 2012, 57(5):782-788.
[12]	潘盼, 解立新. 智慧重症监护病房助力重症医疗可及性[J]. 中华医学杂志, 2023, 103(26):1966-1969.
	Pan P, Xie LX. Intelligent intensive care unit makes medicine more accessible[J]. Natl Med J China, 2023, 103(26):1966-1969.
[13]	孙乔, 王素梅, 程聪,等. ICU物联网智慧血液管理方案的构建及应用[J]. 中华急危重症护理杂志, 2023, 4(11):978-982.
	Sun Q, Wang SM, Cheng C,et al. Construction and application of the Internet of Things intelligent blood management scheme in ICU[J]. Chin J Emerg Crit Care Nurs, 2023, 4(11):978-982.
[14]	Kilintzis V, Beredimas N, Kaimakamis E,et al. CoCross:an ICT platform enabling monitoring recording and fusion of clinical information chest sounds and imaging of COVID-19 ICU patients[J]. Healthcare, 2022, 10(2):276.
[15]	De Corte T, Van Hoecke S, De Waele J. Artificial intelligence in infection management in the ICU[J]. Crit Care, 2022, 26(1):79.
[16]	刘裕文, 李庆印, 刘湉,等. 急性主动脉夹层患者急诊临床恶化动态预警方案的构建及应用研究[J]. 中华急危重症护理杂志, 2022, 3(6):485-490.
	Liu YW, Li QY, Liu T,et al. The construction and application of dynamic warning plan for emergency clinical deterioration of patients with acute aortic dissection[J]. Chin J Emerg Crit Care Nurs, 2022, 3(6):485-490.
[17]	王丽竹, 兰美娟, 杨燕,等. ICU精准化液体信息管理系统的构建及应用研究[J]. 中华急危重症护理杂志, 2021, 2(5):400-404.
	Wang LZ, Lan MJ, Yang Y,et al. The construction and application of precise fluid volume management system in ICU[J]. Chin J Emerg Crit Care Nurs, 2021, 2(5):400-404.
[18]	俞小玲, 钟寅波, 阮晓芬,等. 困难气道高危患者信息管理系统的设计及应用[J]. 中华急危重症护理杂志, 2022, 3(5):464-467.
	Yu XL, Zhong YB, Ruan XF,et al. Design and application of information management system for high-risk patients with difficult airway[J]. Chin J Emerg Crit Care Nurs, 2022, 3(5):464-467.
[19]	徐佳卿, 莫敏华, 高莹莹,等. 基于失效模式与效应分析的导管信息化平台在预防ICU中心静脉导管相关血流感染中的应用[J]. 中国实用护理杂志, 2023, 39(24):1846-1852.
	Xu JQ, Mo MH, Gao YY,et al. Application of catheter information platform based on failure mode and effect analysis in preventing central venous catheter-related infection in intensive care unit[J]. Chin J Pract Nurs, 2023, 39(24):1846-1852.
[20]	束嘉俊, 王金琪, 段霞,等. 危重症患者病情动态评分信息化系统的构建与应用[J]. 中华现代护理杂志, 2018, 24(35):4305-4308.
	Shu JJ, Wang JQ, Duan X,et al. Development and application of dynamic scoring information system for critically ill patients[J]. Chin J Mod Nurs, 2018, 24(35):4305-4308.

Development and application of intelligent warning system for artificial airway resistance

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 1

References 20

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	WANG Hanmin, ZHANG Yumei, WANG Qiaohong, WANG Jian, YU Lujiang, LI Li. Construction and usability evaluation of knowledge graph and intelligent Q&A system for ventilator alarm management [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(6): 659-664.
[2]	JIA Yan, XU Qin, LU Hong, HU Jieman, WANG Liqin, YAO Wenjun. Latent profile analysis and influencing factors of happiness of ICU nurses [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(6): 725-730.
[3]	XU Zhenzhen, XUE Ruixin, GUO Xiaojing, WANG Wei, GAI Yubiao. Qualitative study on moral emotional experience of ICU nurses [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(6): 731-736.
[4]	XU Yanan, LIU Yahui, WANG Danruo, KANG Yubiao, YUAN Ling. A meta-synthesis of the qualitative studies of the influencing factors of palliative care implemented by ICU medical staff [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(6): 737-743.
[5]	ZHANG Kun, LIAO Bo, WANG Xuemei, LIU Xili, CHEN Chao, GONG Ling, CHEN Jie, SHEN Liquan, LU Yuyu, ZHU Yanping. Survey on the implementation of group standard for adult airway suctioning by ICU nurses in tertiary hospitals in Jiangsu Province [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(5): 524-529.
[6]	ZHU Jiajia, CHUI Linbo, JIN Hongcheng, ZHU Jihua. Psychological and social adaptation in children post-intensive care：a qualitative study [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(5): 543-547.
[7]	DENG Yingyi, XU Wenjing, LIAO Changju, Li Yuanyuan, ZHANG Cuicui, MING Shulan, WANG Min, DING Juan, CHEN Xiaoli. An analysis of barriers and facilitators to evidence-based practice of comprehensive ICU nursing handoff [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(5): 590-595.
[8]	JING Jiamei, WEI Xiaojing, WANG Zhenzhen, CUI Bowen, LIANG Hongxia. Research progress on nursing strategies for adult brain death donor organ maintenance in ICU [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(5): 631-635.
[9]	ZHENG Yanmin, HUANG Zexi, HUANG Yaruo, CUI Nianqi, MA Xueqin, SHA Ruiqin, LIU Yonggang, TIAN Ying. Summary of the best evidence for dysphagia rehabilitation training in ICU patients after extubation of orotracheal intubation [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(4): 487-493.
[10]	HUAI Qiyang, BAI Xue, LIU Beibei, WANG Qi, LIU Hongli, YANG Lijuan. Summary of the best evidence for inspiratory muscle training in ICU patients with invasive mechanical ventilation [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(3): 351-357.
[11]	CAO Na, XIE Shuo, LU Meisu, SHANG Lili, ZHANG Luyao. The trauma recovery path of ICU nurses as second victims of patient safety incidents：a grounded theory study [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(2): 219-225.
[12]	JI Li, WU Hui, JING Chenyang, YUE Weigang, WANG Yuanyunzi, WANG Tuohong, HE Guobao, FAN Luo. Summary of evidence on the management of ventilator-induced diaphragmatic dysfunction in ICU patients [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(1): 100-106.
[13]	LAO Yuewen, CHEN Xiangping, GUO Qianqian, YAN Huafei, DING Shanni, WANG Li, HONG Liuyu, HUANG Jie, GONG Xiaoyan. A qualitative study on the ICU nurses’ recognition experiences and needs [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(1): 31-36.
[14]	CUI Dalei, XU Simeng, ZHANG Xia, SHAN Li, WANG Jie, LI Lezhi. Research on the latent classes and influencing factors of sleep trajectories in cardiac surgery patients before and after transfer out of ICU [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(1): 50-56.
[15]	WANG Haiyan, DU Jinping, ZHANG Jinhuan, SHEN Xiaoling, TAO Yan, JIANG Ping. Meta-analysis of the effect of white noise on sleep in ICU patients [J]. Chinese Journal of Emergency and Critical Care Nursing, 2025, 6(1): 57-64.