Development and validation of a nomogram to predict diabetes ketoacidosis resolution time in a tertiary care hospital in the United Arab Emirates
Authors' conclusion
An effective nomogram was established for estimating the likelihood of DRT ≥ 24 h, facilitating better resource allocation and personalized treatment strategy.
Study context
- Population
- Adults with diabetes ketoacidosis (DKA) admitted to Tawam Hospital, United Arab Emirates, January 2017–October 2022; average age 34 years, 54 % female
- Participants
- 394 adults
- Outcome
- Prediction of prolonged DKA resolution time (DRT ≥ 24 h): discrimination (C-index) and calibration (calibration plot, Brier score)
Methodological detailsprediction model development and validation, single-centre, logistic regression stepwise model, nomogram
- Prediction model development and validation
- Single-centre
- Logistic regression stepwise model
- Nomogram
Main finding
As reported in the abstract
Nomogram performance for predicting DRT ≥ 24 h
C-index (good discrimination)
0.76
Brier score (good calibration and predictive accuracy)
0.17
Observational data: associations, not effects.
Original publication
Development and validation of a nomogram to predict diabetes ketoacidosis resolution time in a tertiary care hospital in the United Arab Emirates. Diabetes Res Clin Pract. Published 2 July 2024. doi:10.
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