Yin Ning, Fang Lei, Zhang Li, Cai Yousong, Fan Guoxiang, Shi Xiaohua, Huang Hongqiang
Department of Anesthesiology, Nanjing Medical University, Sir Run Run Hospital, Nanjing, China.
Pneumology Clinic/Department of Biomedicine, University & University Hospital of Basel, Basel, Switzerland.
Open Med (Wars). 2020 Sep 30;15(1):915-920. doi: 10.1515/med-2020-0231. eCollection 2020.
The aim of this retrospective study is to determine the predictive factors of postoperative dyspnea in infants with Pierre Robin sequence (PRS). Forty children with PRS, who underwent general anesthesia, were retrospectively analyzed. The patient's physiological status and anesthesiology data were collected accordingly, demographic characteristics including age, gender, height and weight at surgery, weight gain, preoperative airway status, tracheal intubation route, American Society of Anesthesiologists grading and airway Cormack-Lehane classification. Weight gain, dyspnea before the operation, Cormack-Lehane grade distribution showed a significant difference between patients with and without postoperative dyspnea ( = 0.0175, = 0.0026, and = 0.0038, respectively). Incompetent weight gain was identified as a predictor ( = 0.0371) of PRS postoperative dyspnea through the binary logistic regression model. In conclusion, this study established an early alerting model by monitoring the weight gain, dyspnea before the operation, Cormack-Lehane grade as potential combinations to predict the risk of postoperative dyspnea for PRS.
本回顾性研究的目的是确定皮埃尔·罗宾序列征（PRS）患儿术后呼吸困难的预测因素。对40例接受全身麻醉的PRS患儿进行回顾性分析。相应收集患者的生理状态和麻醉学数据，包括年龄、性别、手术时的身高和体重、体重增加情况、术前气道状态、气管插管途径、美国麻醉医师协会分级和气道科马克-莱汉内分级等人口统计学特征。体重增加、术前呼吸困难、科马克-莱汉内分级分布在术后有呼吸困难和无呼吸困难的患者之间存在显著差异（分别为=0.0175、=0.0026和=0.0038）。通过二元逻辑回归模型确定体重增加不足是PRS术后呼吸困难的一个预测因素（=0.0371）。总之，本研究通过监测体重增加、术前呼吸困难、科马克-莱汉内分级作为潜在组合，建立了一个早期预警模型，以预测PRS术后呼吸困难的风险。
