医疗卫生装备2018，Vol.39Issue(3)：6-9,14,5.DOI:10.7687/j.issn1003-8868.2018.03.006
基于无创参数SpO2/FiO2辨识ARDS患者疾病程度的研究
ARDS severity identification based on noninvasive parameter SpO2/FiO2
摘要
Abstract
Objective To explore the relationship between SpO2/FiO2(S/F) and PaO2/FiO2(P/F) so as to determine the possibility of ARDS severity identification based on noninvasive parameters. Methods The physiological parameters of corresponding patients were acquired from Medical Information Mart for Intensive Care (MIMIC-Ⅲ),and then divided into a training set and a test set randomly.In the training set the linear relationship between lg(S/F)and lg(P/F)was established with generalized linear regression model,and a log linear regression model was formed with the optimal regression equation;the linear relationship between lg(S/F)and lg(P/F)was compared with that between S/F and P/F.In the test set,the two models were compared on the identification of ARDS in case P/F values were 100(mild ARDS),200(moderate ARDS)and 300(severe ARDS)respectively.Results In the training set(n=61 634)the linear relationship between lg(S/F)and lg(P/F)was deduced as lg(S/F)=1.277+0.437×lg(P/F) (r=0.66,P<0.000 1),and the S/F thresholds in case P/F values were 100,200 and 300 respectively were 131,201 and 271.In the test set (n=26 758)the identification effect was verified with the acquired S/F thresholds,which proved better than that of traditional regression model.Conclusion Noninvasive parameter SpO2/FiO2can replace PaO2/FiO2for the auxiliary diagnosis of ARDS in case the result of blood gas analysis is absent.关键词
急性呼吸窘迫综合征/血氧饱和度/血气分析/动脉血氧分压/吸入氧体积分数Key words
acute respiratory distress syndrome/SpO2/blood gas analysis/PaO2/FiO2分类
医药卫生引用本文复制引用
赵惠军,杨鹏程,王亚林..基于无创参数SpO2/FiO2辨识ARDS患者疾病程度的研究[J].医疗卫生装备,2018,39(3):6-9,14,5.基金项目
国家自然科学基金项目(81501551) （81501551）
国家重点研发计划(2017YFC0806402) （2017YFC0806402）
军事医学创新工程专项(16CXZ034) （16CXZ034）
