Prognostic Value of Serum Glucose Level in Critically Ill Septic Patients on Admission to Pediatric Intensive Care

Aya Osama Mohamed1, Mohamed Abdallah Abd El-Megied1, Yomna Ahmed Hosni1

  • 1Department of Pediatrics, Faculty of Medicine, Cairo University, Maadi, Giza, Egypt.

Insights

Sepsis in the pediatric intensive care unit (PICU) is linked to blood glucose variations. Abnormal random blood glucose levels, especially hypoglycemia, indicate a poorer prognosis and higher mortality risk in septic children.

Area of Science:

  • Pediatric critical care medicine
  • Endocrinology
  • Infectious diseases

Background:

  • Sepsis is a leading cause of pediatric intensive care unit (PICU) admission and adverse outcomes.
  • Sepsis can disrupt glucose homeostasis, leading to hypoglycemia or hyperglycemia.
  • Random blood glucose (RBG) measurement is a simple tool for assessing prognosis in septic pediatric patients.

Purpose of the Study:

  • To evaluate the association between blood glucose levels upon admission to the PICU and the outcomes of pediatric septic patients.
  • To determine if RBG measurement can serve as an early prognostic indicator in pediatric sepsis.

Main Methods:

  • A prospective study involving 103 children diagnosed with sepsis admitted to the PICU.
  • Clinical assessment, initial laboratory tests including RBG, and calculation of Pediatric Sequential Organ Failure Assessment (pSOFA) scores were performed.
  • Patient outcomes, including length of stay, systemic review, and mortality, were documented.

Main Results:

  • Hypoglycemic patients exhibited the highest non-survival rate (20.4%).
  • Hypoglycemia was associated with significantly higher pSOFA scores, shorter PICU stays, lower RBG levels, and increased need for ventilation and inotropic support (p < 0.001).

Conclusions:

  • Abnormal random blood sugar levels in critically ill septic children are linked to increased mortality risk, particularly in cases of hypoglycemia.
  • RBG measurement is a rapid, inexpensive, and effective method for early outcome prediction in pediatric sepsis.
Abstract

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