运用多元Logistic回归模型分析影响新生儿低血糖的危险因素

目的 探讨影响新生儿低血糖的危险因素。方法 回顾性分析了2013年7月~2015年7月入住本院的340例新生儿的临床资料,根据新生儿血糖浓度进行分组,将血糖浓度＜2.2 mmol/L为低血糖组,其中新生儿低血糖组32例,正常新生儿组308例。分别采用Pearson单因素与多元Logistic回归模型分析影响低血糖新生儿的相关危险因素。结果正常新生儿组与低血糖新生儿组在新生儿出生情况(出生体重、早产儿、足月小于胎龄儿)、母亲围生期情况(母亲年龄、妊高症)及新生儿合并症(合并呼吸系统疾病、新生儿窒息、先心病、出血性疾病、感染性疾病、高胆红素血症、甲减)方面的差异均具有统计学意义(P＜0.05)。影响新生儿低血糖相关危险因素:新生儿出生情况(出生体重、早产儿、足月小于胎龄儿)、母亲围生期情况(母亲年龄、妊高症)、新生儿合并症(新生儿窒息、先心病、高胆红素血症)。结论影响新生儿低血糖相关危险因素为:出生体重、早产儿、足月小于胎龄儿、母亲年龄、妊高症、新生儿窒息、先心病、高胆红素血症,控制这些因素为有效预防新生儿低血糖提供科学依据。

Logistic Regression Analysis Using Multiple Risk Factors forNeonatal Hypoglycemia

Objective To explore the risk factors of neonatal hypoglycemia.MethodsThe clinical data of 340 neonates admitted to our hospital from July 2013 to July 2015 were retrospectively analyzed,grouped according to neonatal blood glucose levels,blood glucose <2.2 mmol/L is defined as low blood sugar,including 32 cases of neonatal hypoglycemia ans 308 normal neonates respectively,using Pearson single factor and multivariate Logistic regression model to analyze the related risk factors of neonatal hypoglycemia.ResultsIn normal newborn infants and neonatal hypoglycemia group the differences of neonatal conditions (birth weight,premature infants and full-term SGA),mother of perinatal situation (maternal age,pregnancy induced hypertension) and neonatal complications (with new respiratory disease,asphyxia,congenital heart disease,hemorrhage disease,infectious disease,hyperbilirubinemia,hypothyroidism) were statistically significant (P<0.05~0.01);the risk factors of Neonatal hypoglycemia:neonatal birth (birth weight,premature infants and full-term SGA),mother of perinatal situation (maternal age,pregnancy induced hypertension),neonatal complications (neonatal asphyxia,congenital heart disease and hyperbilirubinemia).ConclusionNeonatal hypoglycemia related risk factors were birth weight,premature infant and full term small for gestational age,maternal age,pregnancy hypertension,neonatal asphyxia,congenital heart disease,hyperbilirubinemia,controlling these factors can provide scientific basis for the effective prevention of neonatal hypoglycemia.