2017年Wolaita Sodo镇医院择期手术患者困难面罩通气解剖参数的预测价值

K. Hailegebriel, A. Tolera, T. Marama
{"title":"2017年Wolaita Sodo镇医院择期手术患者困难面罩通气解剖参数的预测价值","authors":"K. Hailegebriel, A. Tolera, T. Marama","doi":"10.4172/2155-6148.1000868","DOIUrl":null,"url":null,"abstract":"Background: Mask ventilation is the primary technique of ventilation before insertion of any airway device. Difficulties in mask ventilation have been associated with serious complications, such as death or hypoxic brain damage. If the anesthetist can predict which patients are likely to prove difficult to ventilate, he/she may reduce the risks of anesthesia considerably. The study was aimed to assess the incidence of and predictive values of anatomical parameters for difficult mask ventilation among patients who underwent elective surgeries at Wolaita Sodo University teaching and referral Hospital and Sodo Christian Hospital. Methods: Institutional based cross sectional study was conducted from July 1 to August 30, 2017 in two hospitals of wolaita zone. The study was conducted on 278 patients of which 101 (36.3%) were males and 177 (63.7%) were females. Patient demographics, incidence and predictive values of anatomical parameters for difficult mask ventilation were studied among elective patients who took general anesthesia. Result: The incidence of difficult mask ventilation (grade III) was 2.2%; whereas, impossible mask ventilation (grade IV) was 0.4%. Highest percent of difficult mask ventilation (grade III) was occurred in patients with obstructive sleep apnea, BMI˃26 kg/m2 and Mandibular Protrusion Class C. Conclusion: Modified Mallampatti class III and IV and Mandibular protrusion class B and C are highly accurate parameters with high specificity, negative predictive value and positive predictive value to predict difficult mask ventilation.","PeriodicalId":15000,"journal":{"name":"Journal of Anesthesia and Clinical Research","volume":"193 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Predictive Values of Anatomical Parameters for Difficult Mask Ventilation in Patients who Underwent Elective Surgeries in Wolaita Sodo Town Hospitals, 2017\",\"authors\":\"K. Hailegebriel, A. Tolera, T. Marama\",\"doi\":\"10.4172/2155-6148.1000868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Mask ventilation is the primary technique of ventilation before insertion of any airway device. Difficulties in mask ventilation have been associated with serious complications, such as death or hypoxic brain damage. If the anesthetist can predict which patients are likely to prove difficult to ventilate, he/she may reduce the risks of anesthesia considerably. The study was aimed to assess the incidence of and predictive values of anatomical parameters for difficult mask ventilation among patients who underwent elective surgeries at Wolaita Sodo University teaching and referral Hospital and Sodo Christian Hospital. Methods: Institutional based cross sectional study was conducted from July 1 to August 30, 2017 in two hospitals of wolaita zone. The study was conducted on 278 patients of which 101 (36.3%) were males and 177 (63.7%) were females. Patient demographics, incidence and predictive values of anatomical parameters for difficult mask ventilation were studied among elective patients who took general anesthesia. Result: The incidence of difficult mask ventilation (grade III) was 2.2%; whereas, impossible mask ventilation (grade IV) was 0.4%. Highest percent of difficult mask ventilation (grade III) was occurred in patients with obstructive sleep apnea, BMI˃26 kg/m2 and Mandibular Protrusion Class C. Conclusion: Modified Mallampatti class III and IV and Mandibular protrusion class B and C are highly accurate parameters with high specificity, negative predictive value and positive predictive value to predict difficult mask ventilation.\",\"PeriodicalId\":15000,\"journal\":{\"name\":\"Journal of Anesthesia and Clinical Research\",\"volume\":\"193 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Anesthesia and Clinical Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4172/2155-6148.1000868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Anesthesia and Clinical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2155-6148.1000868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

背景:面罩通气是任何气道设备插入前的主要通气技术。口罩通气困难与严重并发症有关,如死亡或缺氧性脑损伤。如果麻醉师能够预测哪些患者可能难以通气,他/她就可以大大降低麻醉的风险。本研究旨在评估在Wolaita Sodo大学教学和转诊医院和Sodo基督教医院接受择期手术的患者中困难面罩通气的解剖学参数的发生率和预测价值。方法:于2017年7月1日至8月30日在沃莱塔地区两家医院进行基于机构的横断面研究。研究对象278例,其中男性101例(36.3%),女性177例(63.7%)。研究择期全麻患者的患者人口统计学特征、困难面罩通气的发生率及解剖学参数的预测值。结果:口罩通气困难(III级)发生率为2.2%;而不可能的口罩通气(IV级)为0.4%。阻塞性睡眠呼吸暂停患者面罩困难通气(III级)的比例最高,BMI指数为26 kg/m2,下颌突出为C级。结论:改良Mallampatti III级和IV级以及下颌突出为B级和C级,是预测面罩困难通气的高特异性、阴性预测值和阳性预测值的高精度参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The Predictive Values of Anatomical Parameters for Difficult Mask Ventilation in Patients who Underwent Elective Surgeries in Wolaita Sodo Town Hospitals, 2017
Background: Mask ventilation is the primary technique of ventilation before insertion of any airway device. Difficulties in mask ventilation have been associated with serious complications, such as death or hypoxic brain damage. If the anesthetist can predict which patients are likely to prove difficult to ventilate, he/she may reduce the risks of anesthesia considerably. The study was aimed to assess the incidence of and predictive values of anatomical parameters for difficult mask ventilation among patients who underwent elective surgeries at Wolaita Sodo University teaching and referral Hospital and Sodo Christian Hospital. Methods: Institutional based cross sectional study was conducted from July 1 to August 30, 2017 in two hospitals of wolaita zone. The study was conducted on 278 patients of which 101 (36.3%) were males and 177 (63.7%) were females. Patient demographics, incidence and predictive values of anatomical parameters for difficult mask ventilation were studied among elective patients who took general anesthesia. Result: The incidence of difficult mask ventilation (grade III) was 2.2%; whereas, impossible mask ventilation (grade IV) was 0.4%. Highest percent of difficult mask ventilation (grade III) was occurred in patients with obstructive sleep apnea, BMI˃26 kg/m2 and Mandibular Protrusion Class C. Conclusion: Modified Mallampatti class III and IV and Mandibular protrusion class B and C are highly accurate parameters with high specificity, negative predictive value and positive predictive value to predict difficult mask ventilation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Pulmonary Artery Catheter Sutured on the Pulmonary Trunk and Relevant Clinical Consequences Study in a Simulated Scenario of the Influence of Training and Personality in the Resolution of Critical Situations in Anaesthesiology Residents Pulmonary Thrombosis in Acute Respiratory Distress Syndrome: Theory, Evidence, and Clinical Relevance to Resource-Limited Settings Management of Cerebropontine Angle Tumors on Total Intravenous Anaesthesia Facilitating Neuromuscular Monitoring: A Retrospective Observational Study Efficacy of Clavipectoral Fascia Plane Block as Analgesic Modality in Clavicle Fractures: Exploring New Horizons
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1