Construction and validation of nomogram prediction model for ketoacidosis in elderly diabetic patients based on baseline data and glycolipid metabolism
Nomogram prediction model based on baseline data and glucose and lipid metabolism indicators showed good prediction efficiency in both the training set and the verification set. Age, diabetes duration, FBG, 2hPG, HbA1c, TG, TC, and C peptide levels were independent risk factors for DKA in elderly diabetic patients.
Authors
- Yinhong Li
- Anning Niu (ORCID: https://orcid.org/0009-0004-8456-9989)
- Jing Zhuang (ORCID: https://orcid.org/0000-0002-2641-8611)
- Wei Wei
Institutions
- Zhengzhou University (CN)
- Henan Provincial People's Hospital (CN)
- Zhengzhou People's Hospital (CN)
Publication Details
- Journal
- Journal of Diabetes Investigation
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1111/jdi.70058
- Citations
- 1
- Primary Topic
- Diabetes and associated disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.82