Type 1 diabetes

The Development and Validation of Multivariable Electronic Health Record-Based Models to Predict Diabetic Ketoacidosis-Related Hospitalizations for Adults with Type 1 Diabetes

Diabetes Technol TherPublished Prediction model development and validation study

Authors' conclusion

We developed EHR-based logistic regression models that effectively predict DKA-related hospitalizations in adults with T1D. Future work will enhance model performance by incorporating additional features and applying advanced machine learning methods.

Study context

Population
Adults with T1D treated at an academic health system in the United States, January 1, 2017 to April 30, 2023667 (8.6%) with ≥1 diabetic ketoacidosis (DKA) event
Participants
7,798 adults
Comparison
90-day model vs 180-day model
Outcome
DKA-related hospitalizations
Follow-up
90 and 180 days
Methodological detailslogistic regression, discovery and prospective validation cohorts, single academic health system, 7 predictors: prior DKA, number of prior DKA events, mean time between DKA events, time since last DKA, most recent HbA1c, absent HbA1c in past 2 years, insurance type; Electronic health record (EHR) data from 2 years before index date
  • Logistic regression
  • Discovery and prospective validation cohorts
  • Single academic health system
  • 7 predictors: prior DKA, number of prior DKA events, mean time between DKA events, time since last DKA, most recent HbA1c, absent HbA1c in past 2 years, insurance type; EHR data from 2 years before index date

Performance

As reported in the abstract

Discrimination for DKA-related hospitalization
Test or modelValueRecall (top 5% risk)Precision (top 5% risk)Specificity (top 5% risk)
90-day modelmean AUC 0.87 (SD ± 0.02)0.450.110.95
180-day modelmean AUC 0.84 (SD ± 0.02)0.420.170.96

Value

90-day modelmean AUC 0.87 (SD ± 0.02)
180-day modelmean AUC 0.84 (SD ± 0.02)

Recall (top 5% risk)

90-day model0.45
180-day model0.42

Precision (top 5% risk)

90-day model0.11
180-day model0.17

Specificity (top 5% risk)

90-day model0.95
180-day model0.96

Original publication

The Development and Validation of Multivariable Electronic Health Record-Based Models to Predict Diabetic Ketoacidosis-Related Hospitalizations for Adults with Type 1 Diabetes. Diabetes Technol Ther. Published 7 November 2025. doi:10.1177/15209156251387161

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.