Development of a nomogram for predicting the outcome in patients with prolonged disorders of consciousness based on the multimodal evaluative information

The nomogram model, which integrates CRS-R score, BAEP grading, N60 classification and Estradiol, provides a comprehensive assessment of short-term prognosis in patients with prolonged disorders of consciousness, demonstrating high accuracy.

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Publication Details

Journal
BMC Neurology
Published
2025-04-23
DOI
https://doi.org/10.1186/s12883-025-04189-2
Citations
1
Primary Topic
Traumatic Brain Injury Research
Type
article
Field-Weighted Citation Impact
1.35

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article

Development of a nomogram for predicting the outcome in patients with prolonged disorders of consciousness based on the multimodal evaluative information

Juan Fu, Huan Feng, Fangyu Chen, Yujie Wu et al.
1 citations
BMC Neurology
Traumatic Brain Injury Research
1.35
article

Development of a nomogram for predicting the outcome in patients with prolonged disorders of consciousness based on the multimodal evaluative information

Juan Fu, Huan Feng, Fangyu Chen, Yujie Wu, Hongxing Wang, Hui Feng, Huaping Pan
article en
1 citations

Abstract

The nomogram model, which integrates CRS-R score, BAEP grading, N60 classification and Estradiol, provides a comprehensive assessment of short-term prognosis in patients with prolonged disorders of consciousness, demonstrating high accuracy.

BMC NeurologyVol. 25(1)
Zhongda Hospital Southeast University (CN), Nanjing Jiangning Hospital (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 21%
Traumatic Brain Injury Research
1.35
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Development of a nomogram for predicting the outcome in patients with prolonged disorders of consciousness based on the multimodal evaluative information — Juan Fu, Huan Feng, et al. · BMC Neurology (2025) | TGRS Research Map | TGRS