Patterns and Characteristics of Diabetic Ketoacidosis in Children With Type I Diabetes in Saudi Arabia

Rasha Alradadi1, Daliah M Alharbi2, Maram S Alrehely2

  • 1Pediatric Endocrinology, Taibah University, Medina, SAU.

Cureus
|April 9, 2024
PubMed

Insights

Diabetic ketoacidosis (DKA) in children with type 1 diabetes mellitus (T1DM) is a serious concern. This study found that patient weight is a significant predictor of intensive care unit (ICU) admission for pediatric T1DM patients with DKA.

Area of Science:

  • Pediatric Endocrinology
  • Metabolic Disorders
  • Public Health

Background:

  • Type 1 diabetes mellitus (T1DM) is a growing global health issue in children.
  • Diabetic ketoacidosis (DKA) is a common complication at T1DM onset, particularly in Saudi Arabia.
  • Understanding DKA characteristics and risk factors in pediatric populations is crucial for effective management.

Purpose of the Study:

  • To evaluate the clinical characteristics of pediatric T1DM patients presenting with DKA.
  • To identify risk factors associated with DKA severity, including ICU admission.
  • To analyze DKA incidence in Saudi Arabian children with T1DM.

Main Methods:

  • Retrospective chart review of pediatric patients (under 18) with DKA at Medina Maternity and Children's Hospital (2017-2022).
  • Non-probability consecutive sampling to collect demographic, medical, and laboratory data.
  • Statistical analysis using SPSS to assess patient data and identify predictors of ICU admission.

Main Results:

  • 70 pediatric T1DM patients with DKA were analyzed; 60% were female, 90% Saudi nationals.
  • Average age at onset was 6.9 years; 18.57% were newly diagnosed.
  • Weight was a significant predictor of ICU admission (OR=1.26, p=0.011); 12.9% required ICU admission.

Conclusions:

  • Personalized insulin therapy and weight management are vital for pediatric T1DM patients with DKA.
  • Early and effective emergency management improves patient outcomes.
  • Further research on long-term strategies and educational programs is recommended.
Abstract

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