新生儿败血症预后危险因素的Logistic回归分析

Logisitic Regression Analysis on Risk Factors of Prognosis of Neonatal Sepsis.

目的 早期评估新生儿败血症的预后。 方法 对80 例新生儿败血症的20 个变量进行非条件Logistic 单因素及多因素回归分析。 结果 单因素分析时9 个变量:白介素6(IL6) 、白介素8(IL8) 、一氧化氮( NO) 、黄疸、吃奶改变、哭声变化、入院体重、休克及器官功能衰竭与死亡有关;多因素分析剔除了上述变量中的NO、哭声变化、入院体重及休克4 个变量。 结论 IL6 、IL8 、吃奶改变、黄疸及器官功能衰竭可能是早期评估新生儿败血症预后的主要因素。

Objective To evaluate the prognosis of neonatal sepsis early. Methods Unconditioned logistic regressions of univariate and multivariate were used to analyze the prognosis of 80 neonates suffered from sepsis. Meantime, multivariate regression equation was created. Results Nine variables including interleukin 6(IL 6),interleukin 8(IL 8),nitric oxide(NO),jaundice, milk feeding change,abnormal quality of cry, weight on admission, shock and organ functional failure were related to death as univariate regression analysis was made, but multivariate regression analysis eliminated the four variables of NO, abnormal quality of cry, weight on admission and shock. Conclusions IL 6,IL 8,milk feeding change, jaundice and organ functional failure may be the major factors while evaluating prognosis of neonatal sepsis, which is the basis of clinic treatment.