构建新生儿机械通气撤机失败模型及撤机失败预测因素  

To construct the failure model of neonatal mechanical ventilation withdrawal and the predictive factors of withdrawal failure

作　　者：耿宝 郭华 王婷婷 范雪爱 Geng Bao;Guo Hua;Wang Tingting;Fan Xueai(Department of pediatric,Xingtai Third Hospital,Xingtai,Hebei 054000)

机构地区：[1]邢台市第三医院新生儿科,河北省邢台市054000

出　　处：《现代科学仪器》2023年第5期136-140,共5页Modern Scientific Instruments

基　　金：邢台市科技局重点研发计划项目(2020ZC265)。

摘　　要：目的:构建新生儿机械通气撤机失败风险模型并分析NT-proBNP水平预测价值。方法:回顾性选择2018年1月至2020年12月在本院治疗机械通气新生儿652例。分析两组撤机前指标、撤机失败独立危险因素以及血清指标的预测效能。结果:撤机失败118例(18.10%),撤机成功组534例(81.90%)。撤机时体重≤3kg、伴有肺部感染、伴有尿路感染、呼吸窘迫、PO_(2)降低与PCO_(2)升高是撤机失败的独立危险因素。NT-proBNP与IL-6联合诊断可较好地预测撤机失败(P<0.05)。结论:血清NT-proBNP与IL-6联合预测撤机失败的效能佳。Objective:to establish a risk model of neonatal mechanical ventilation failure and analyze the predictive value of NT-proBNP level.Methods:From January 2018 to December 2020,652 neonates with mechanical ventilation were treated in our hospital.The pre-weaning indexes,independent risk factors of weaning failure and the predictive efficacy of serum indexes were analyzed.Results:There were 118 cases(18.10%)who failed to take off the machine,and 534 cases(81.90%)who took off the machine successfully.Weight≤3kg at weaning,pulmonary infection,urinary tract infection,respiratory distress,decreased PO_(2) and increased PCO_(2) are independent risk factors for weaning failure.The combined diagnosis of NT-proBNP and IL-6 can better predict the failure of aircraft withdrawal(P<0.05).Conclusion:The combination of serum NT-proBNP and IL-6 is effective in predicting the failure of weaning.

关 键 词：全髋关节置换术 恐动症 影响因素 干预策略 

分 类 号：R722.1[医药卫生—儿科]