Effectiveness of Computed Tomography-Guided Nasotracheal Intubation Procedure on Predicting Tube Advancement Difficulty and Preventing Epistaxis: A Prospective Case-control Study

Author:

YAŞLI Seher ORBAY1,CANPOLAT Dilek GÜNAY1,BAYDAN Ebru1,DEMİRBAŞ Ahmet Emin1

Affiliation:

1. Erciyes University

Abstract

Abstract Purpose: To evaluate the effectiveness of Computed tomography-guided nasotracheal intubation in predicting tube advancement difficulty and preventing epistaxis.Material and Methods: Sixty maxillofacial surgery patients were included in the study. The space where the tube will be passed in the internal nasal valve region was measured horizontally and vertically by Computed Tomography. The same experienced anesthesiologist intubated all patients. The patients were divided into two groups, 'easy' (n=28) or 'difficult' (n=32), according to the effort required to advance the tube through the nasal passage.Results: The measured median distances were shorter in a difficult group than in the easy group (p<0.001). Epistaxis was significantly higher in the difficult group (p<0.001). Epistaxis was considerably higher in the difficult group (p<0.001).ROC analysis was performed, and cut-off values were determined to reveal the distance values at which difficulty may be experienced while advancing the tube. The cut-off values were 1.09 cm and 0.39 cm for the vertical and horizontal distances, respectively.Conclusion: It was concluded that taking into account the measurements obtained from the tomography scan was a convenient way to estimate the difficulty of advancing the tube and thus avoid nosebleeds encountered during nasal intubation.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3