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Predictor of postoperative dyspnea for Pierre Robin Sequence infants

机译:Pierre Robin序列婴儿术后呼吸困难的预测

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摘要

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 (p = 0.0175, p = 0.0026, and p = 0.0038, respectively). Incompetent weight gain was identified as a predictor (p = 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.
机译:该回顾性研究的目的是确定Pierre Robin序列(PRS)的婴儿术后呼吸困难的预测因素。回顾性地分析了一般麻醉的PRS的四十个儿童。患者的生理状态和麻醉学数据是相应地收集的,手术中的年龄,性别,高度和体重,体重增加,术前气道状态,气管插管,美国麻醉学会分级和气道Cormack-Lehane分类。体重增加,呼吸困难在手术前,Cormack-Lehane等级分布显示患者与无术后呼吸困难的患者(P = 0.0175,P = 0.0026和P = 0.0038)之间存在显着差异。通过二元逻辑回归模型将无能的体重增加为PRS术后呼吸困难的预测值(P = 0.0371)。总之,本研究通过监测重量增益,呼吸困难之前的重量增益,Cormack-Lehane等级作为潜在组合来建立早期警报模型,以预测PRS术后呼吸困难的风险。

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