摘要
目的研究影响新生儿低血糖的相关危险因素。方法回顾性分析新生儿科570例新生儿的临床资料,其中新生儿低血糖组190例,正常血糖组新生儿380例,采用Logistic回归分析新生儿低血糖相关危险因素。结果单因素Logistic回归分析显示,新生儿体质量减轻、早产、新生儿呼吸衰竭、新生儿呼吸窘迫、新生儿感染、母亲分娩年龄增大、经产妇、剖宫产、双胎、妊娠期糖尿病、妊娠期高血压疾病是新生儿低血糖发生的危险因素(均P<0.05);多因素Logistic回归分析显示,早产(OR=2.115,95%CI:1.186~3.772)、剖宫产(OR=6.92,95%CI:4.202~11.397)是新生儿低血糖发生的危险因素(均P<0.05)。结论早产、剖宫产是新生儿低血糖发生的危险因素,应根据危险因素及时识别和治疗新生儿低血糖,为新生儿提供及时产后护理指导,以降低新生儿低血糖发生率。
Objective To study the relevant risk factors of neonatal hypoglycemia.Methods A retrospective analysis was conducted on the clinical data of 570 newborns in neonatal pediatrics,including 190 cases in the neonatal hypoglycemia group and 380 cases in the normal blood glucose group.Logistic regression analysis was used to analyze the risk factors related to neonatal hypoglycemia.Results Single factor Logistic regression analysis showed that neonatal weight loss,premature,neonatal respiratory failure,neonatal respiratory distress,neonatal infection,the mother’s age of delivery,multipara,cesarean section,twins,pregnancy diabetes,pregnancy hypertension were the risk factors for neonatal hypoglycemia,all of which had statistical significance(all P<0.05).In multivariate Logistic regression analysis,premature(OR=2.115,95%CI:1.186-3.772)and cesarean section(OR=6.92,95%CI:4.202-11.397)were risk factors for neonatal hypoglycemia(both P<0.05).Conclusions Premature and cesarean section are risk factors for the occurrence of neonatal hypoglycemia in the local area.Timely identification and treatment of neonatal hypoglycemia based on risk factors,providing timely postpartum nursing guidance for newborns,can reduce the occurrence of neonatal hypoglycemia.
作者
胡倩
孔丽娟
禤秀萍
谢雪梅
HU Qian;KONG Lijuan;XUAN Xiuping;XIE Xuemei(Department of Endocrinology,the First Affiliated Hospital of Guangxi Medical University,Nanning 530000,China;Medical Department,Liuzhou Hospital of Guangzhou Women and Children’s Medical Center,Liuzhou 545000,China)
出处
《广州医药》
2024年第8期852-859,共8页
Guangzhou Medical Journal
关键词
新生儿低血糖
危险因素
回归分析
护理
neonatal hypoglycemia
risk factors
regression analysis
nursing
