A dynamic online nomogram based on the Global Leadership Initiative on Malnutrition criteria for predicting 30‐day mortality in patients with severe stroke
The GLIM criteria effectively assess malnutrition and predict 30-day mortality in patients with severe stroke. The developed dynamic nomogram provides accurate prognosis prediction.
Authors
- Junzhuo Li (ORCID: https://orcid.org/0000-0003-3111-699X)
- Weida Gong (ORCID: https://orcid.org/0000-0002-0046-9277)
- Yaqi Wang (ORCID: https://orcid.org/0000-0002-4741-5348)
- Jiajia Yang (ORCID: https://orcid.org/0000-0003-3869-4653)
Institutions
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Jiulongpo People's Hospital (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Nutrition in Clinical Practice
- Published
- 2025-08-10
- DOI
- https://doi.org/10.1002/ncp.70009
- Citations
- 1
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- Chongqing Medical University