Kun Li, Jin Huang, Ahmad Alhaskawi, Bin Wang, Nianbin Ma, Chengjun Yao, Yanzhao Dong, QingFang Zhao, Xiaodi Zou, Hui Lu
{"title":"鼻空肠置管的可视化微创方法","authors":"Kun Li, Jin Huang, Ahmad Alhaskawi, Bin Wang, Nianbin Ma, Chengjun Yao, Yanzhao Dong, QingFang Zhao, Xiaodi Zou, Hui Lu","doi":"10.3791/66551","DOIUrl":null,"url":null,"abstract":"<p><p>Malnutrition is a common issue in critically ill patients, often stemming from illness, injury, or surgery. Prolonged fasting leads to intestinal issues, emphasizing the importance of early enteral nutrition, specifically through jejunal nutrition. While enteral nutrition is crucial, complications with current techniques exist. Nasojejunal (NJ) tubes are commonly used, with placement methods categorized as surgical or non-surgical. Non-surgical methods, including endoscopic guidance, have varying success rates, with endoscopic-assisted placement being the most successful but requiring specialized expertise and logistics. This study introduces a bedside, visualized method for NJ tube placement to enhance success rates and reduce patient discomfort in the intensive care unit (ICU). In this study involving 19 ICU patients, the method achieved an initial success rate of 94.74% with an average insertion time of 11.2 ± 6.4 min. This visualized method demonstrates efficiency and reduces the need for additional imaging, and the introduction of a miniaturized endoscope shows promise, enabling successful intubation at the bedside and minimizing patient discomfort. Adjustments to the guidewire lens and catheter are necessary but pose opportunities for future refinements.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Minimally Invasive, Visualized Method for Nasojejunal Tube Placement.\",\"authors\":\"Kun Li, Jin Huang, Ahmad Alhaskawi, Bin Wang, Nianbin Ma, Chengjun Yao, Yanzhao Dong, QingFang Zhao, Xiaodi Zou, Hui Lu\",\"doi\":\"10.3791/66551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Malnutrition is a common issue in critically ill patients, often stemming from illness, injury, or surgery. Prolonged fasting leads to intestinal issues, emphasizing the importance of early enteral nutrition, specifically through jejunal nutrition. While enteral nutrition is crucial, complications with current techniques exist. Nasojejunal (NJ) tubes are commonly used, with placement methods categorized as surgical or non-surgical. Non-surgical methods, including endoscopic guidance, have varying success rates, with endoscopic-assisted placement being the most successful but requiring specialized expertise and logistics. This study introduces a bedside, visualized method for NJ tube placement to enhance success rates and reduce patient discomfort in the intensive care unit (ICU). In this study involving 19 ICU patients, the method achieved an initial success rate of 94.74% with an average insertion time of 11.2 ± 6.4 min. This visualized method demonstrates efficiency and reduces the need for additional imaging, and the introduction of a miniaturized endoscope shows promise, enabling successful intubation at the bedside and minimizing patient discomfort. Adjustments to the guidewire lens and catheter are necessary but pose opportunities for future refinements.</p>\",\"PeriodicalId\":48787,\"journal\":{\"name\":\"Jove-Journal of Visualized Experiments\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jove-Journal of Visualized Experiments\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.3791/66551\",\"RegionNum\":4,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jove-Journal of Visualized Experiments","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.3791/66551","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
A Minimally Invasive, Visualized Method for Nasojejunal Tube Placement.
Malnutrition is a common issue in critically ill patients, often stemming from illness, injury, or surgery. Prolonged fasting leads to intestinal issues, emphasizing the importance of early enteral nutrition, specifically through jejunal nutrition. While enteral nutrition is crucial, complications with current techniques exist. Nasojejunal (NJ) tubes are commonly used, with placement methods categorized as surgical or non-surgical. Non-surgical methods, including endoscopic guidance, have varying success rates, with endoscopic-assisted placement being the most successful but requiring specialized expertise and logistics. This study introduces a bedside, visualized method for NJ tube placement to enhance success rates and reduce patient discomfort in the intensive care unit (ICU). In this study involving 19 ICU patients, the method achieved an initial success rate of 94.74% with an average insertion time of 11.2 ± 6.4 min. This visualized method demonstrates efficiency and reduces the need for additional imaging, and the introduction of a miniaturized endoscope shows promise, enabling successful intubation at the bedside and minimizing patient discomfort. Adjustments to the guidewire lens and catheter are necessary but pose opportunities for future refinements.
期刊介绍:
JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.