Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in critically ill patients with acute kidney injury: A cohort study from MIMIC-IV
The SHR demonstrated a nonlinear association all-cause mortality among critically ill patients AKI, suggesting its potential utility as a reliable prognostic indicator for predicting unfavorable results in AKI patients.
Authors
- Ting Ao (ORCID: https://orcid.org/0000-0001-7070-3383)
- Peng Zhen
- Yingxiu Huang
- Ming Hu
Institutions
- Beijing Luhe Hospital Affiliated to Capital Medical University (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1177/20552076261421140
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00