Munera-Seeley Verónica, Ochoa Juan B, Brown Nefertiti, Bayless Angela, Correia M Isabel T D, Bryk Jodie, Zenati Mazen
Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.
Nutr Clin Pract. 2008 Jun-Jul;23(3):318-21. doi: 10.1177/0884533608318105.
Misplacement of nasoenteric feeding tubes (NFTs) into the airway instead of the esophagus leads to complications. Healthcare providers have relied on clinical methods, devices such as carbon dioxide (CO(2)) sensors, and radiography (the gold standard) to evaluate NFT placements. Most institutions include radiographs in their protocols for NFT insertions, making it expensive and cumbersome. A new commercial CO(2) sensor was developed to assist in these procedures, and the authors evaluated its use.
Nurses performing NFT placement completed questionnaires following each procedure. The nurses recorded the clinical methods used to determine proper insertion and, based on them, where the NFT was located. Nurses then evaluated NFT insertion with the CO(2) sensor; from the readings, they recorded where the tube was located. Confirmation of tube placement was performed radiographically.
The authors evaluated 424 NFT insertions. Of these, 15 (3.5%) were incorrectly placed into the airway, and 409 were correctly placed into the esophagus. The CO(2) sensor correctly assessed NFT placement in 421 (99%) of the 424 cases. The authors found the device to have a sensitivity of 86.7% and a specificity of 99.8%.
The CO(2) sensor is a helpful bedside tool to use in conjunction with clinical methods during NFT insertions. However, there is insufficient evidence to abandon the use of radiographs to confirm tube placement.
鼻肠饲管(NFT)误置入气道而非食管会导致并发症。医疗服务提供者一直依赖临床方法、诸如二氧化碳(CO₂)传感器之类的设备以及放射成像(金标准)来评估NFT的放置位置。大多数机构在其NFT插入操作规范中都包括放射成像,这使得操作既昂贵又繁琐。一种新型商用CO₂传感器被开发出来以辅助这些操作,作者对其使用情况进行了评估。
进行NFT放置操作的护士在每次操作后填写问卷。护士记录用于确定正确插入位置的临床方法,并据此记录NFT的位置。然后护士使用CO₂传感器评估NFT的插入情况;根据读数记录导管的位置。通过放射成像确认导管放置情况。
作者评估了424次NFT插入操作。其中,15次(3.5%)误置入气道,409次正确置入食管。CO₂传感器在424例中的421例(99%)中正确评估了NFT的放置位置。作者发现该设备的灵敏度为86.7%,特异性为99.8%。
在NFT插入过程中,CO₂传感器是一种有助于与临床方法结合使用的床边工具。然而,尚无足够证据放弃使用放射成像来确认导管放置情况。