[1]潘磊,陶伏莹,汤燕,等.剖宫产新生儿出生6 h内发生低血糖的风险预测模型的构建[J].军事护理,2023,40(10):43-46.[doi:10.3969/j.issn.2097-1826.2023.10.011]
　PAN Lei,TAO Fuying,TANG Yan,et al.Construction of a Risk Prediction Model of Neonatal Hypoglycemia by Cesarean Section Within 6 Hours After Birth[J].Nursing Journal Of Chinese People's Laberation Army,2023,40(10):43-46.[doi:10.3969/j.issn.2097-1826.2023.10.011]
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剖宫产新生儿出生6 h内发生低血糖的风险预测模型的构建
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《军事护理》[ISSN:2097-1826/CN:31-3186/R]

卷:
40
期数:
2023年10期
页码:
43-46
栏目:
研究荟萃
出版日期:
2023-10-15

文章信息/Info

Title:
Construction of a Risk Prediction Model of Neonatal Hypoglycemia by Cesarean Section Within 6 Hours After Birth
文章编号:
2097-1826(2023)10-0043-04
作者:
潘磊; 陶伏莹; 汤燕; 蒋佳男
(南京医科大学附属妇产医院 手术室,江苏 南京 210004)
Author(s):
PAN Lei; TAO Fuying; TANG Yan; JIANG Jianan
(Operating Room,Women's Hospital of Nanjing Medical University,Nanjing 210004,Jiangsu Province,China)
关键词:
剖宫产;  新生儿低血糖;  危险因素;  风险预测模型
Keywords:
Cesarean section;  neonatal hypoglycemia;  risk factor;  risk prediction model
分类号:
R473.72
DOI:
10.3969/j.issn.2097-1826.2023.10.011
文献标志码:
A
摘要:
目的 构建剖宫产新生儿出生6 h内发生低血糖的风险预测模型,为早期识别经剖宫产娩出的新生儿低血糖高危人群提供依据。方法 2022年1-5月,采用便利抽样法选取在某三级甲等妇幼保健专科医院剖宫产分娩的2456例新生儿为研究对象,将是否发生低血糖分为低血糖组(n=161)和非低血糖组(n=2295)。分析剖宫产新生儿出生6 h内发生低血糖的影响因素,运用Logistic回归构建模型。采用Hosmer-Lemeshow、受试者工作特征曲线下面积(area under curve,AUC)等对模型拟合优度和预测效果评价。结果 两组新生儿在胎龄、低体重儿、小于胎龄儿、合并先天性心脏病、低体温、红细胞增多症、母亲糖尿病、母亲高血压、母亲术前禁食、母亲产前用药等项目上的差异均有统计学意义(均P<0.05)。早产儿、小于胎龄儿、低体温、先天性心脏病、红细胞增多症、母亲糖尿病、母亲高血压、术前禁食是剖宫产新生儿6 h内发生低血糖的8个独立危险因素。H-L检验χ2为3.014,P为0.884,AUC为0.813,灵敏度为0.795,特异度为0.696,Youden指数为0.491。结论 构建的模型预测效果良好,可有效预测剖宫产新生儿6h内发生低血糖的风险因素,值得推广应用。
Abstract:
Objective To construct a risk prediction model of neonatal hypoglycemia by Cesarean section within 6 hours after birth,so as to provide a basis for early identification of neonatal hypoglycemia high-risk population.Methods From January to May 2022,2456 newborns delivered by Cesarean section in a tertiary A women's hospital were selected by the convivence sampling method.They were divided into hypoglycemia group(n=161)and non-hypoglycemia group(n=2295).To analyze the influencing factors of hypoglycemia in neonates delivered by Cesarean section within 6 hours after birth,and Logistic regression was used to construct a model.Hosmer-Lemeshow and area under the receiver operating characteristic curve(AUC)were used to evaluate the goodness of fit and prediction effect of the model.Results There were significant differences between the 2 groups in gestational age,low birth weight,small for gestational age(SGA),congenital heart disease,hypothermia,polycythemia,maternal diabetes,maternal hypertension,preoperative fasting,and prenatal medication(all P<0.05).There were 8 independent risk factors for neonatal hypoglycemia,including premature infant,SGA,hypothermia,congenital heart disease,polycythemia,maternal diabetes,maternal hypertension and preoperative fasting.H-L test was χ2=3.014,P=0.884,AUC was 0.813,sensitivity was 0.795,specificity was 0.696,and Youden index was 0.491.Conclusion This model has a good prediction effect,which can effectively predict the risk of neonatal hypoglycemia by Cesarean section within 6 hours after birth,and is worthy of promotion and application.

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备注/Memo

备注/Memo:
【收稿日期】2023-02-02【修回日期】2023-08-10
【作者简介】潘磊,本科,主管护师,电话:025-52226986
【通信作者】蒋佳男,电话:025-52226112
更新日期/Last Update: 2023-10-15