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Identifying risk effectors involved in neonatal hypoglycemia occurrence

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Abstract 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 χ2 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.
Title: Identifying risk effectors involved in neonatal hypoglycemia occurrence
Description:
Abstract 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 χ2 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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