Relationship between cricoid-mental distance based on external neck landmarks and laryngeal mask size selection
Objective To explore a new method for selecting laryngeal mask sizes measuring the cricoid-mental distance(CMD)based on external neck landmarks.Methods This was prospective study.Ninety-eight patients undergoing selective surgery under general anesthesia with classic laryngeal masks at Sanshui District People's Hospital from November 2019 to October 2020 were selected,and 4 cases cancelled the surgery because of their personal reasons.Ninety-four patients were included,including 36 males and 58 females who were 18-65 years old.During the preoperative visit,their gender,age,height,body weight,modified Mallampati classification,and degree of mouth opening were recorded.The CMD was measured before the anesthesia.The patients with successful laryngeal mask insertion were grouped according to the laryngeal mask sizes.The general data and CMD were compared between the three groups.The logistic regression analysis was used to identify the factors influencing laryngeal mask size selection.The analysis of variance and x2 test were applied.Results There were statistical differences in age,body weight,and CMD between the patients using 3 different laryngeal mask sizes[(37.75±9.05)years vs.(33.62±11.98)years vs.(29.11±9.80)years,(46.74±3.58)kg vs.(57.26±6.52)kg vs.(70.86±10.61)kg,and(7.85±0.83)cm vs.(9.34±0.74)cm vs.(11.64±0.65)cm;F=7.643,51.126,and 156.135;all P＜0.05].The logistic regression analysis revealed correlation of laryngeal mask size selection with weight and CMD(both P＜0.05).The 95％confidence intervals for CMD of the three laryngeal mask sizes were as below:laryngeal mask 3's CMD 6.19-9.51 cm(17.02％,16 cases);laryngeal mask4's CMD 7.87-10.81 cm(53.19％,50 cases);laryngeal mask 5's CMD 10.34-12.94 cm(29.79％,28 cases).Conclusions CMD can serve as an indicator for selecting laryngeal mask sizes.If the CMD is 7.87～10.81 cm,laryngeal mask4 is recommended;CMD＜7.87 cm,laryngeal mask 3;CMD＞10.81 cm,laryngeal mask 5.
万方数据
维普
