A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease
Abstract Background Individuals with diabetic kidney disease (DKD) often suffer cardiac and kidney events. We sought to develop an accurate means by which to stratify risk in DKD. Methods Clinical variables and biomarkers were evaluated for their ability to predict the adjudicated primary composite...
Saved in:
| Main Authors: | James L. Jr. Januzzi, Naveed Sattar, Muthiah Vaduganathan, Craig A. Magaret, Rhonda F. Rhyne, Yuxi Liu, Serge Masson, Javed Butler, Michael K. Hansen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
|
| Series: | Cardiovascular Diabetology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12933-025-02779-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Canagliflozin protects cardiovascular function in type 2 diabetic coronary artery disease by regulating natriuretic peptide B
by: Jiarui Zhang, et al.
Published: (2025-08-01) -
The role of canagliflozin in the prevention of stroke and chronic kidney disease in patients with type 2 diabetes mellitus: an expert council resolution
by: M. V. Shestakova, et al.
Published: (2023-11-01) -
Long-term analysis of сanagliflozin budget impact in adult patients with type 2 diabetes mellitus and diabetic nephropathy in the Russian Federation
by: N. A. Avxentyev, et al.
Published: (2022-10-01) -
Effects of Sodium–Glucose Cotransporter 2 Inhibitors on Calcium Homeostasis: Where We Stand Now
by: Alessandro Cuttone, et al.
Published: (2025-05-01) -
Effect of canagliflozin combined with alfacalcidol in the treatment of elderly type 2 diabetes mellitus with osteoporosis
by: HUANG Yi*,JIANGXiong,PENG Jun,GUI Xiao,LIU Shuang,LI Peng,LI Yanling,JIANG Meiling
Published: (2025-07-01)