rSIG combined with NLR in the prognostic assessment of patients with multiple injuries

NLR, rSIG, and the combination of the two are all valuable in predicting the prognosis of patients with multiple injuries (all AUC > 0.5). However, the predictive capacity of NLR was better than either rSIG alone or both combined. These findings may serve as references in guiding the treatment of patients with multiple injuries in clinical practice.

Authors

Institutions

Publication Details

Journal
Open Medicine
Published
2025-01-01
DOI
https://doi.org/10.1515/med-2025-1161
Primary Topic
Trauma and Emergency Care Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

rSIG combined with NLR in the prognostic assessment of patients with multiple injuries

Hua Tang, Qiuhong Fu, Xing Liu, Wèi Dān et al.
Open Medicine
Trauma and Emergency Care Studies
article

rSIG combined with NLR in the prognostic assessment of patients with multiple injuries

Hua Tang, Qiuhong Fu, Xing Liu, Wèi Dān, Yanyun Gu
article en

Abstract

NLR, rSIG, and the combination of the two are all valuable in predicting the prognosis of patients with multiple injuries (all AUC > 0.5). However, the predictive capacity of NLR was better than either rSIG alone or both combined. These findings may serve as references in guiding the treatment of patients with multiple injuries in clinical practice.

Open MedicineVol. 20(1)
Longgang Central Hospital (CN), Shenzhen Second People's Hospital (CN)
Openalex Percentile: Top 88%
Trauma and Emergency Care Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.