Impacts of Hypoglycemia in At-Risk Infants on Admissions to Level-3 Neonatal Units in a Tertiary-Care Hospital

Alasaad, Hala; Beyyumi, Ela; Zoubeidi, Taoufik; Khan, Nusrat Hasan; Abu-Sa'da, Omar; Khassawneh, Mohammad; Souid, Abdul‐Kader

doi:10.2147/rrn.s339211

Cited by 1 publication

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References 22 publications

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“…CGM has several potential advantages. It enables close monitoring of neonates at risk of dysglycemia, reduces the frequency of blood sampling by heel prick [ 35 ], and offers a viable alternative to capillary determinations, which cause considerable discomfort to newborns [ 35 , 36 ]. Serial blood glucose monitoring with heel lancing is invasive and has the potential to harm neurodevelopment [ 37 , 38 ].…”

Section: Discussionmentioning

confidence: 99%

Continuous Glucose Monitoring in Preterm Infants: The Role of Nutritional Management in Minimizing Glycemic Variability

et al. 2022

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Glycemic variability (GV) is common in preterm infants. In the premature population, GV is a risk factor for morbidity and mortality. Both hypo- and hyperglycemia can impair neurodevelopment. We investigated the impact of continuous versus intermittent tube enteral feeding on GV. In our prospective observational study, 20 preterm infants with a gestational age ≤ 34 weeks at either continuous or intermittent bolus full enteral feeding. For five days, continuous glucose monitoring (CGM) was utilized, which was achieved through the subcutaneous insertion of a sensor. A total of 27,532 measurements of blood glucose were taken. The mean amplitude of glycemic excursions did not differ between the two cohorts statistically. Continuous feeding resulted in higher positive values, increasing the risk of hypo- and hyperglycemia. Subjects who were small for their gestational age had a higher standard deviation during continuous feeding (p = 0.001). Data suggest that intermittent bolus nutrition is better for glycemic control than continuous nutrition. Nutritional management optimization of preterm infants appears to be critical for long-term health. In the future, CGM may provide a better understanding of the optimal glucose targets for various clinical conditions, allowing for a more personalized approach to management.

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