A predictive model for sepsis risk in patients with non-traumatic cerebral hemorrhage based on the MIMIC-IV database
Abstract Patients with non-traumatic cerebral hemorrhage admitted to the intensive care unit (ICU) are known to be at high risk for developing sepsis. However, limited research exists to quantify this risk. Therefore, this study aimed to develop a reliable predictive model to assess the risk of seps...
Saved in:
| Main Authors: | Xinxu Wu, Fangqi Hu, Tianpeng Zhang, Yunsong Pan, Jie He, Rui Zhang, Hui Zhou, Hui Shi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-10119-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Association between leuko-glycemic index and mortality in critically ill patients with non-traumatic subarachnoid hemorrhage: analysis of the MIMIC-IV database
by: Hui Shen, et al.
Published: (2025-05-01) -
Development of a nomogram to predict in-ICU mortality of elderly patients with sepsis-associated liver injury: an analysis of the MIMIC-IV database
by: Xuemei Hu, et al.
Published: (2025-03-01) -
Interpretable machine learning model for predicting delirium in patients with sepsis: a study based on the MIMIC data
by: Jing Fu, et al.
Published: (2025-04-01) -
Impact of initial ventilation strategies on in-hospital mortality in sepsis patients: insights from the MIMIC-IV database
by: Yuxin Lu, et al.
Published: (2025-04-01) -
Association between Lactate dehydrogenase and 28-day all-cause mortality in patients with non-traumatic Intracerebral hemorrhage: A retrospective analysis of the MIMIC-IV database
by: Jiahui Feng, et al.
Published: (2024-11-01)