Prognostic nomogram for heat stroke patients based on rapidly accessible clinical indicators.
We developed and validated a prognostic tool utilizing routinely available parameters in ED to predict in-hospital mortality in HS patients. This clinically implementable model demonstrates comparable accuracy to established intensive care scoring systems while offering distinct advantages in rapid bedside application, potentially enabling time-critical therapeutic decisions in emergency settings.
Authors
- T. Zhang (ORCID: https://orcid.org/0000-0001-6032-9287)
- Hongguang Gao
- Guo Tang (ORCID: https://orcid.org/0000-0002-1585-6675)
- Tao Cheng (ORCID: https://orcid.org/0000-0002-5925-2769)
- Bo-Jie Xiao
- Rong Yao (ORCID: https://orcid.org/0009-0006-1979-8739)
- Ping Zhang (ORCID: https://orcid.org/0009-0007-1402-0159)
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-01-01
- DOI
- https://doi.org/10.3389/fmed.2025.1603374
- Primary Topic
- Climate Change and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00