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
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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。
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.
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