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Identifying risk effectors involved in neonatal hypoglycemia occurrence

Hypoglycemia is a common metabolic condition in neonatal period, but severe and persistent hypoglycemia can cause neurological damage and brain injury. The aim of the present study was to analyze the risk factors of neonatal hypoglycemia in clinic. A total of 135 neonatal hypoglycemia infants and 13...

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Autores principales: Zhao, Tian, Liu, Qiying, Zhou, Man, Dai, Wei, Xu, Yin, Kuang, Li, Ming, Yaqiong, Sun, Guiyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070145/
https://www.ncbi.nlm.nih.gov/pubmed/32083294
http://dx.doi.org/10.1042/BSR20192589
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author Zhao, Tian
Liu, Qiying
Zhou, Man
Dai, Wei
Xu, Yin
Kuang, Li
Ming, Yaqiong
Sun, Guiyu
author_facet Zhao, Tian
Liu, Qiying
Zhou, Man
Dai, Wei
Xu, Yin
Kuang, Li
Ming, Yaqiong
Sun, Guiyu
author_sort Zhao, Tian
collection PubMed
description Hypoglycemia is a common metabolic condition in neonatal period, but severe and persistent hypoglycemia can cause neurological damage and brain injury. The aim of the present study was to analyze the risk factors of neonatal hypoglycemia in clinic. A total of 135 neonatal hypoglycemia infants and 135 healthy infants were included in the present study. The differences in birth weight between neonatal hypoglycemia group and healthy control group were analyzed via t test. The associations between neonatal blood sugar level and relevant characteristic factors were explored using χ(2) test. Binary logistic regression analysis was used to analyze risk factors related to the incidence of neonatal hypoglycemia. The results showed that the average birth weight was matched in neonatal hypoglycemia group and healthy control group. Neonatal blood sugar level of the infants was significantly associated with born term, birth weight, feed, gestational diabetes mellitus (GDM) and hypothermia (all P<0.05). Besides, logistic regression analysis showed that babies’ born term (odds ratio (OR) = 2.715, 95% confidence interval (95% CI): 1.311–5.625), birth weight (OR = 1.910, 95% CI: 1.234–2.955), improper feeding (OR = 3.165, 95% CI: 1.295–7.736) and mother’s GDM (OR = 2.184, 95% CI: 1.153–4.134) were high risk factors for neonatal hypoglycemia. The incidence of hypoglycemia in infants was significantly associated with various clinical factors. And monitoring these risk factors is one of important measures to reduce long-term neurological damage caused by neonatal hypoglycemia.
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spelling pubmed-70701452020-03-23 Identifying risk effectors involved in neonatal hypoglycemia occurrence Zhao, Tian Liu, Qiying Zhou, Man Dai, Wei Xu, Yin Kuang, Li Ming, Yaqiong Sun, Guiyu Biosci Rep Genomics Hypoglycemia is a common metabolic condition in neonatal period, but severe and persistent hypoglycemia can cause neurological damage and brain injury. The aim of the present study was to analyze the risk factors of neonatal hypoglycemia in clinic. A total of 135 neonatal hypoglycemia infants and 135 healthy infants were included in the present study. The differences in birth weight between neonatal hypoglycemia group and healthy control group were analyzed via t test. The associations between neonatal blood sugar level and relevant characteristic factors were explored using χ(2) test. Binary logistic regression analysis was used to analyze risk factors related to the incidence of neonatal hypoglycemia. The results showed that the average birth weight was matched in neonatal hypoglycemia group and healthy control group. Neonatal blood sugar level of the infants was significantly associated with born term, birth weight, feed, gestational diabetes mellitus (GDM) and hypothermia (all P<0.05). Besides, logistic regression analysis showed that babies’ born term (odds ratio (OR) = 2.715, 95% confidence interval (95% CI): 1.311–5.625), birth weight (OR = 1.910, 95% CI: 1.234–2.955), improper feeding (OR = 3.165, 95% CI: 1.295–7.736) and mother’s GDM (OR = 2.184, 95% CI: 1.153–4.134) were high risk factors for neonatal hypoglycemia. The incidence of hypoglycemia in infants was significantly associated with various clinical factors. And monitoring these risk factors is one of important measures to reduce long-term neurological damage caused by neonatal hypoglycemia. Portland Press Ltd. 2020-03-13 /pmc/articles/PMC7070145/ /pubmed/32083294 http://dx.doi.org/10.1042/BSR20192589 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).
spellingShingle Genomics
Zhao, Tian
Liu, Qiying
Zhou, Man
Dai, Wei
Xu, Yin
Kuang, Li
Ming, Yaqiong
Sun, Guiyu
Identifying risk effectors involved in neonatal hypoglycemia occurrence
title Identifying risk effectors involved in neonatal hypoglycemia occurrence
title_full Identifying risk effectors involved in neonatal hypoglycemia occurrence
title_fullStr Identifying risk effectors involved in neonatal hypoglycemia occurrence
title_full_unstemmed Identifying risk effectors involved in neonatal hypoglycemia occurrence
title_short Identifying risk effectors involved in neonatal hypoglycemia occurrence
title_sort identifying risk effectors involved in neonatal hypoglycemia occurrence
topic Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070145/
https://www.ncbi.nlm.nih.gov/pubmed/32083294
http://dx.doi.org/10.1042/BSR20192589
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