Using population data to understand the epidemiology and risk factors for diabetic ketoacidosis in Australian children with type 1 diabetes

Pediatr Diabetes. 2019 Nov;20(7):901-908. doi: 10.1111/pedi.12891. Epub 2019 Jul 16.

Abstract

Background: Children with type 1 diabetes (T1D) are at risk of diabetic ketoacidosis (DKA) at T1D diagnosis and/or subsequently.

Objective: The objective is to determine the incidence and prevalence of T1D by the presence of DKA and identify the characteristics of subsequent DKA episodes.

Subjects: The study population included all children aged <15 years with T1D during a hospital/day-stay admission in New South Wales, Australia, from 1 January 2001 to 31 December 2013. T1D and DKA were identified using International Classification of Diseases Australian Modification codes.

Methods: Data sources included routinely collected longitudinally linked population hospitalization and birth records. Chi-squared analyses, logistic, and multinomial regression were used to determine the association between child characteristics and admissions with and without DKA.

Results: The point prevalence of T1D among 0-14-year olds on 31 December 2013 was 144.2 per 100 000. For children aged 0-12 years, the incidence of T1D was 16.3 per 100 000 child-years. One-third had DKA at T1D diagnosis and were more likely to be readmitted with DKA than those without DKA at T1D diagnosis. Children with more than one readmission for DKA were more likely to be female, reside in an inner regional area or an area of socioeconomic disadvantage, and be Australian-born. Among all hospitalizations of children with T1D, those with DKA were more likely to be aged 10-14 years, require intensive care, have longer length of stay, and admitted outside school days.

Conclusion: Routinely collected administrative health data are a reliable source to monitor incidence and health service use of childhood T1D. Children at risk of repeated DKA, particularly females, adolescents, and those from inner regional or socioeconomically disadvantaged areas, should be targeted during education and follow-up.

Keywords: TID; diabetic ketoacidosis; pediatric; population-linked data.

MeSH terms

  • Adolescent
  • Age of Onset
  • Australia / epidemiology
  • Child
  • Child, Preschool
  • Diabetes Mellitus, Type 1 / complications*
  • Diabetes Mellitus, Type 1 / epidemiology*
  • Diabetic Ketoacidosis / epidemiology*
  • Diabetic Ketoacidosis / etiology*
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • Incidence
  • Infant
  • Infant, Newborn
  • Male
  • New South Wales / epidemiology
  • Prevalence
  • Risk Factors
  • Socioeconomic Factors