Risk factors for neonatal hypoglycemia: a meta-analysis.

IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Dandan Wang, Xuchen Zhou, Juan Ning, Fen He, Junhui Shi, Xuefeng Jin
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引用次数: 0

Abstract

Objective: This Study aims to investigate the risk factors of hypoglycemia in neonates through meta-analysis.

Method: PubMed, Embase, Cochrane library, and Web of science databases were searched for case-control studies on risk factors for neonatal hypoglycemia. The search was done up to 1st October 2023 and Stata 15.0 was used for data analysis.

Results: A total of 12 published studies were included, including 991 neonates in the hypoglycemic group and 4388 neonates in the non-hypoglycemic group. Meta-analysis results suggested caesarean section [OR = 1.90 95%CI (1.23, 2.92)], small gestational age[OR = 2.88, 95%CI (1.59, 5.20)], gestational diabetes [OR = 1.65, 95%CI (1.11, 2.46)], gestational hypertension[OR = 2,79, 95%CI (1.78, 4.35)] and respiratory distress syndrome[OR = 5.33, 95%CI (2.22, 12.84)] were risk factors for neonatal hypoglycemia.

Conclusion: Based on the current study, we found that caesarean section, small gestational age, gestational diabetes, gestational hypertension, respiratory distress syndrome are risk factors for neonatal hypoglycemia.

Prospero registration number: CRD42023472974.

新生儿低血糖症的风险因素:一项荟萃分析。
研究目的本研究旨在通过荟萃分析探讨新生儿低血糖症的风险因素:方法:在 PubMed、Embase、Cochrane library 和 Web of science 数据库中检索有关新生儿低血糖风险因素的病例对照研究。搜索时间截至 2023 年 10 月 1 日,数据分析使用 Stata 15.0:共纳入了 12 项已发表的研究,其中低血糖组有 991 名新生儿,非低血糖组有 4388 名新生儿。元分析结果显示,剖腹产[OR = 1.90 95%CI (1.23, 2.92)]、小胎龄[OR = 2.88, 95%CI (1.59, 5.20)]、妊娠糖尿病[OR = 1.65, 95%CI (1.11,2.46)]、妊娠高血压[OR = 2.79,95%CI(1.78,4.35)]和呼吸窘迫综合征[OR = 5.33,95%CI(2.22,12.84)]是新生儿低血糖的危险因素:基于本次研究,我们发现剖腹产、小胎龄、妊娠糖尿病、妊娠高血压、呼吸窘迫综合征是新生儿低血糖的危险因素:CRD42023472974。
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来源期刊
BMC Endocrine Disorders
BMC Endocrine Disorders ENDOCRINOLOGY & METABOLISM-
CiteScore
4.40
自引率
0.00%
发文量
280
审稿时长
>12 weeks
期刊介绍: BMC Endocrine Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of endocrine disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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