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Risk Factors for Adverse Outcomes in Children With Diabetic Ketoacidosis
Maha F Yousif1, Katie D Dolak1, Soumya Adhikari1
1Division of Pediatric Endocrinology, Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Insights
A new model identifies children with diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) at risk for adverse outcomes. Type 2 diabetes and initial hyperglycemia/acidosis severity are key predictors, explaining increased risks during the COVID-19 pandemic.
Area of Science:
- Pediatric Endocrinology
- Critical Care Medicine
- Diabetes Mellitus Research
Background:
- Diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) are severe acute complications of diabetes in children.
- Identifying children at high risk for adverse outcomes is crucial for timely intervention.
- The COVID-19 pandemic may have impacted the incidence and severity of these conditions.
Purpose of the Study:
- To develop and validate a multivariable predictive model for adverse outcomes in pediatric DKA/HHS.
- To assess the impact of the COVID-19 pandemic on adverse outcomes in these patients.
- To identify key risk factors associated with adverse outcomes in pediatric DKA/HHS.
Main Methods:
- Retrospective review of 4565 pediatric admissions for DKA/HHS from 2010-2023 at a major children's hospital.
- Data split into training (2010-2019) and validation (2020-2021, 2022-2023) sets.
- Generalized estimating equations used to assess risks for a composite outcome of death or ICU stay >48 hours.
Main Results:
- Adverse outcomes occurred in 1.5% (2010-2019), 5.0% (2020-2021), and 2.4% (2022-2023) of admissions.
- Maximum serum glucose, initial pH, and type 2 diabetes diagnosis were strong predictors of adverse outcomes.
- The predictive model demonstrated excellent discrimination (AUC 0.948-0.960) across datasets.
Conclusions:
- Type 2 diabetes and severity of hyperglycemia/acidosis are independent risk factors for adverse outcomes in pediatric DKA/HHS.
- These factors explain the increased frequency of adverse outcomes observed during the COVID-19 pandemic.
- A significant decrease in adverse outcome risks was noted from January 2022 to June 2023.
Objective:
Develop a multivariable model to identify children with diabetic ketoacidosis (DKA) and/or hyperglycemic hyperosmolar state (HHS) at increased risk of adverse outcomes and apply it to analyze adverse outcomes during and after the COVID-19 pandemic.
Methods:
Retrospective review of clinical data from 4565 admissions (4284 with DKA alone, 31 [0.7%] only HHS, 250 [5.4%] hyperosmolar DKA) to a large academic children's hospital from January 2010 to June 2023. Data from 2010-2019 (N = 3004) were used as a training dataset, and 2020-2021 (N = 903) and 2022-2023 (N = 658) data for validation. Death or intensive care unit stays > 48 hours comprised a composite "Adverse Outcome" group. Risks for this composite outcome were assessed using generalized estimating equations.
Results:
There were 47 admissions with Adverse Outcomes (1.5%) in 2010-2019, 46 (5.0%) in 2020-2021, and 16 (2.4%) in 2022-2023. Eight patients died (0.18%). Maximum serum glucose, initial pH, and diagnosis of type 2 diabetes most strongly predicted Adverse Outcomes. The proportion of patients with type 2 diabetes was highest in 2020-2021. A multivariable model incorporating these factors had excellent discrimination (area under receiver operator characteristic curve [AUC] of 0.948) for the composite outcome in the training dataset, and similar predictive power (AUC 0.960 and 0.873) in the 2020-2021 and 2022-2023 validation datasets, respectively. In the full dataset, AUC for death was 0.984.
Conclusion:
Type 2 diabetes and severity of initial hyperglycemia and acidosis are independent risk factors for Adverse Outcomes and explain the higher frequency of Adverse Outcomes during the COVID-19 pandemic. Risks decreased in January 2022 to June 2023.
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