Respiratory parameters as a predictor of hospital outcomes in newborns requiring medical evacuation

R. Mukhametshin, O. Kovtun, N. S. Davydova
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Abstract

BACKGROUND: Assessment of the clinical condition, prediction of risks and possible outcomes during the transfer of newborns remains an important part of the work of transport teams. Respiratory disorders remain a significant indication for transfer to medical organizations of a higher level of care. AIM: To study the predictive value of the parameters of respiratory support in newborns requiring medical evacuation for the outcomes of treatment. MATERIALS AND METHODS: The observational, cohort, retrospective study included data from neonatal to patients on ventilators (286 newborns) in the period from August 1, 2017 to December 31, 2018. Anamnesis parameters, intensive care volume, respiratory support settings, and assessments on scales (KSHONN, NTISS, TRIPS) were evaluated. Analyzed: 24-hours mortality, 7 days mortality, hospital mortality, air leakage syndrome. The assessment and comparison of the predictive value of the parameters in relation to the hospital outcomes was performed. RESULTS: The AUC ROC of SpO2/FiO2 for predicting 24-hours mortality was 0.984 [0.9661.000], which is significantly higher than the ROC of the saturation oxygenation index (AUC 0.972 [0.9490.995], p = 0.004). The area under the ROC of the 24-hours mortality on the TRIPS scale does not significantly differ from the saturation index of oxygenation (AUC 0.972 [0.9490.995], p = 0.113) and the mean airway pressure (AUC 0.943 [0.8841.000], p = 0.107). When predicting 7-day mortality, the saturation oxygenation index has AUC ROC (0.702 [0.5490.854]) significantly lower than AUC ROC for SpO2/FiO2 (0.762 [0.6380.887], p = 0.001). SpO2/FiO2 predicts total mortality with AUC ROC (0.759 [0.6770.841]). CONCLUSIONS: The mean airway pressure, saturation oxygenation index and SpO2/FiO2 have a high (AUC 0,9) predictive value for 24-hours mortality, while only SpO2/FiO2 reliably predicts total mortality with AUC ROC 0,7.
呼吸参数作为需要医疗后送的新生儿医院结局的预测因子
背景:在新生儿转移过程中评估临床状况,预测风险和可能的结果仍然是转运团队工作的重要组成部分。呼吸系统疾病仍然是转移到更高护理水平的医疗机构的一个重要指标。目的:探讨需要医疗后送的新生儿呼吸支持参数对治疗结果的预测价值。材料与方法:该观察性、队列性、回顾性研究纳入了2017年8月1日至2018年12月31日期间新生儿至使用呼吸机患者(286名新生儿)的数据。评估了记忆参数、重症监护量、呼吸支持设置和量表评估(KSHONN、NTISS、TRIPS)。分析:24小时死亡率、7天死亡率、住院死亡率、漏气综合征。评估和比较与医院预后相关的参数的预测值。结果:SpO2/FiO2预测24小时死亡率的AUC ROC为0.984[0.9661.000],显著高于饱和氧合指数(AUC 0.972 [0.9490.995], p = 0.004)。24小时死亡率在TRIPS量表上的ROC下面积与氧合饱和度指数(AUC 0.972 [0.949 - 0.995], p = 0.113)和平均气道压力(AUC 0.943 [0.8841.000], p = 0.107)无显著差异。在预测7天死亡率时,饱和氧合指数AUC ROC(0.702[0.5490.854])显著低于SpO2/FiO2的AUC ROC (0.762 [0.63800.887], p = 0.001)。SpO2/FiO2预测总死亡率,AUC ROC(0.759[0.6770.841])。结论:平均气道压、饱和氧合指数和SpO2/FiO2对24小时死亡率具有较高的预测价值(AUC 0.9),而SpO2/FiO2仅可靠地预测总死亡率,AUC ROC为0.7。
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