Skip to content
naulon
Not checkedNot checked for notices yet.

Prevalence and prognostic value of plasma glucose abnormalities among full-term and late-preterm neonates with sepsis

Muhammad Said El-Mekkawy, Dalia Monir Ellahony

Egyptian Pediatric Association Gazette · 2019

doi:10.1186/s43054-019-0002-x (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Abstract Background Neonatal sepsis is occasionally associated with abnormal plasma glucose level, but data in full-term and late-preterm neonates is limited. Our aim was to determine prevalence and prognostic value of plasma glucose abnormalities among these patients. Results We conducted a prospective observational study of 174 full-term and late-preterm neonates with culture-proven or possible sepsis. Plasma glucose level was measured upon neonatal intensive care unit (NICU) admission. The primary outcome was NICU mortality. Hyperglycemia occurred in 12.6%, while hypoglycemia occurred in 10.9% of infants with sepsis. The mortality rate was 36.4%, 47.4%, and 16.5% among infants with hyperglycemia, hypoglycemia, and normoglycemia respectively (P = 0.002). Both hyperglycemia and hypoglycemia were independent predictors of mortality [adjusted OR and 95% CI = 2.89 (1.03–8.13) and 3.86 (1.32–11.26) respectively]. Mechanical ventilation rate was higher among the hypoglycemia subgroup compared with both the hyperglycemia and normoglycemia subgroups (P = 0.046), but glycemic status was not associated with the length of NICU stay. Hypoglycemia was also associated with a lower platelet count (P = 0.015). Conclusion Plasma glucose abnormalities are not uncommon in neonatal sepsis. Both hypoglycemia and hyperglycemia could be utilized for mortality prediction. Besides, hypoglycemia was associated with a higher mechanical ventilation rate. However, these associations might not be causal.

Abstract licence: CC BY-NC-ND

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.