Prognostic value of nomogram model based on clinical risk factors and CT radiohistological features in hypertensive intracerebral hemorrhage

The nomogram prediction model established based on hematoma volume, Adropin, TXB2, LPAR1 and other clinical risk factors as well as CT radiographic characteristics has high accuracy and prediction value in the diagnosis of poor prognosis in patients with HICH.

Authors

Gui Lu (ORCID: https://orcid.org/0000-0003-0089-0907)
Jiaqi Zhang (ORCID: https://orcid.org/0000-0003-2234-1730)
Guodong Zhang (ORCID: https://orcid.org/0000-0003-3221-038X)
Lixiang Wang (ORCID: https://orcid.org/0000-0003-2087-4787)
Baoshun Du

Institutions

Xinxiang Central Hospital (CN)
Henan Medical University (CN)

Publication Details

Journal: Frontiers in Neurology
Published: 2024-12-04
DOI: https://doi.org/10.3389/fneur.2024.1502133
Citations: 2
Primary Topic: Intracerebral and Subarachnoid Hemorrhage Research
Type: article
Field-Weighted Citation Impact: 0.74

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article

Prognostic value of nomogram model based on clinical risk factors and CT radiohistological features in hypertensive intracerebral hemorrhage

Gui Lu, Jiaqi Zhang, Guodong Zhang, Lixiang Wang et al.

Dec 4, 2024

2 citations

Frontiers in Neurology

Intracerebral and Subarachnoid Hemorrhage Research

0.74

article

Prognostic value of nomogram model based on clinical risk factors and CT radiohistological features in hypertensive intracerebral hemorrhage

Gui Lu, Jiaqi Zhang, Guodong Zhang, Lixiang Wang, Baoshun Du

December 4, 2024article en

2 citations

Abstract

The nomogram prediction model established based on hematoma volume, Adropin, TXB2, LPAR1 and other clinical risk factors as well as CT radiographic characteristics has high accuracy and prediction value in the diagnosis of poor prognosis in patients with HICH.

Frontiers in NeurologyVol. 15

Xinxiang Central Hospital (CN), Henan Medical University (CN)

Openalex Percentile: Top 25%

Intracerebral and Subarachnoid Hemorrhage Research

0.74

DOI Open Access PDF OpenAlex

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Prognostic value of nomogram model based on clinical risk factors and CT radiohistological features in hypertensive intracerebral hemorrhage — Gui Lu, Jiaqi Zhang, et al. · Frontiers in Neurology (2024) | TGRS Research Map | TGRS