Lee Younsuk, Lee Sangseok, Yon Jun Heum, Lee Jeoung Hyuk
Department of Anesthesia and Pain Medicine, Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea.
Korean J Anesthesiol. 2009 Jan;56(1):18-24. doi: 10.4097/kjae.2009.56.1.18.
Unanticipated difficulties during tracheal intubation are related to perioperative morbidity and mortality, but the success of direct laryngoscopic intubation depends largely on clinician's experience and the upper airway anatomy. The lightwand was introduced as alternative intubation technique, but the indicators of difficult lightwand intubation (DLWI) have not been identified. Accordingly authors conducted this study to identify subject factors that affect DLWI, and to compare these with those of difficult laryngoscopic intubation.
Seventy-three healthy subjects requiring tracheal intubation for elective surgery were enrolled. Anatomic factors, such as, body mass index (BMI), Mallampati classification (MC), inter-incisor gap, thyromental distance, neck circumference, extent of head and neck motion, and Cormack-Lehane grade (CL) were determined and evaluated in terms of their abilities to predict DLWI, which was described using intubation time and number of intubation attempts. Multiple regression analyses were performed to identify predictors using a variable selection technique.
Only MC and BMI were found to predict DLWI. The weighted sum of time and number of attempts (r2 = 0.854, P = 0.000) was found to be better predictor of DLWI than their product (r2 = 0.734, P = 0.000). Cormack-Lehane grade was not found to be significantly related to DLWI (P = 0.093).
Of the anatomic factors examined, only Mallampati classification and body mass index were found to predict difficult lightwand intubation.
气管插管期间意外出现的困难与围手术期发病率和死亡率相关,但直接喉镜插管的成功很大程度上取决于临床医生的经验和上气道解剖结构。光棒被作为一种替代插管技术引入,但困难光棒插管(DLWI)的指标尚未明确。因此,作者开展了这项研究,以确定影响DLWI的个体因素,并将其与困难喉镜插管的因素进行比较。
纳入73例因择期手术需要气管插管的健康受试者。确定并评估解剖学因素,如体重指数(BMI)、马兰帕蒂分级(MC)、门齿间距、甲颏距离、颈围、头颈部活动范围和科马克-莱汉内分级(CL),根据它们预测DLWI的能力进行评估,DLWI用插管时间和插管尝试次数来描述。采用变量选择技术进行多元回归分析以确定预测因素。
发现只有MC和BMI可预测DLWI。时间和尝试次数的加权和(r2 = 0.854,P = 0.000)比它们的乘积(r2 = 0.734,P = 0.000)能更好地预测DLWI。未发现科马克-莱汉内分级与DLWI有显著相关性(P = 0.093)。
在所检查的解剖学因素中,发现只有马兰帕蒂分级和体重指数可预测困难光棒插管。