A Novel Nomogram Integrating Retinal Microvasculature and Clinical Indicators for Individualized Prediction of Early Neurological Deterioration in Single Subcortical Infarction

This novel nomogram exhibits high accuracy in predicting END in SSI patients. It could guide clinicians to identify SSI patients with a high risk of END at an early stage and initiate necessary medical interventions, ultimately leading to a better prognosis.

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Institutions

Publication Details

Journal
CNS Neuroscience & Therapeutics
Published
2025-03-01
DOI
https://doi.org/10.1111/cns.70337
Citations
2
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
2.71

Funders

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article

A Novel Nomogram Integrating Retinal Microvasculature and Clinical Indicators for Individualized Prediction of Early Neurological Deterioration in Single Subcortical Infarction

Xuening Zhang, Lanhua Liao, Ruosu Pan, Hui Xu et al.
2 citations
CNS Neuroscience & Therapeutics
Acute Ischemic Stroke Management
2.71
article

A Novel Nomogram Integrating Retinal Microvasculature and Clinical Indicators for Individualized Prediction of Early Neurological Deterioration in Single Subcortical Infarction

Xuening Zhang, Lanhua Liao, Ruosu Pan, Hui Xu, Le Cao, Kun Lu, Chen Ye, William Robert Kwapong, Wendan Tao, Yuying Yan, Shuai Jiang, Tang Yang, Junfeng Liu, Yanan Wang, Bo Wu, Ruilin Wang
article en
2 citations

Abstract

This novel nomogram exhibits high accuracy in predicting END in SSI patients. It could guide clinicians to identify SSI patients with a high risk of END at an early stage and initiate necessary medical interventions, ultimately leading to a better prognosis.

CNS Neuroscience & TherapeuticsVol. 31(3)
Capital Medical University (CN), Sichuan University (CN), West China Hospital of Sichuan University (CN)
Sichuan University, University of Electronic Science and Technology of China, Chengdu Science and Technology Bureau, West China Hospital, Sichuan University
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Acute Ischemic Stroke Management
2.71
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