ArticleNeuropsychiatric disease and treatment2024
Predicting Intracerebral Hemorrhage Expansion with Inflammation Indices, Non-Contrast Computed Tomography Signs and Computed Tomography Angiography Spot Sign.
Article in Neuropsychiatric disease and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Neutrophil Percentage-to-Albumin Ratio is Associated with Functional Outcome, Hematoma Clearance, and Peak Perihematomal Edema in Supratentorial Intracerebral Hemorrhage.Journal of inflammation research · 2026Article
- Quantitative Shape Irregularity and Density Heterogeneity Predict Hematoma Expansion in Patients With Intracerebral Hemorrhage.Annals of clinical and translational neurology · 2025Article
- Development and external validation of a dynamic nomogram for predicting the risk of functional outcome after 90 days in patients with acute intracerebral hemorrhage.Frontiers in neurology · 2025Article
- Predicting Intracerebral Hemorrhage Expansion [Letter].Neuropsychiatric disease and treatment · 2024Article
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Authors and funding
5 authors.
Funding
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Abstract
Aim: We aimed to investigate whether a combination of inflammatory and radiological biomarkers can improve intracerebral hemorrhage (ICH) hematoma expansion (HE) prediction. Methods: A retrospective analysis was conducted on patients with primary supratentorial ICH within 6 h of symptom onset between September 2021 and April 2022. Predictors were explored using univariate and logistic regression analysis. We compared the discrimination of inflammatory indice-based model 1 with models 2 and 3, which included image biomarkers, using the receiver operating characteristic curve and De Long test for area under the curve comparison. Results: A total of 205 eligible participants were included, 56 (27.3%) of whom experienced HE. The neutrophil-to-lymphocyte ratio (NLR), black hole sign, BAT score, and computed tomography angiography (CTA) spot sign were independently associated with HE in the logistic regression (P<0.05). The addition of non-contrast computed tomography (NCCT) signs did not provide significant discrimination improvement (AUC, Model 2 0.875 [95% CI, 0.822-0.929] versus Model 1. 0.811 [95% CI, 0.747-0.875], Conclusion: The combination of inflammatory and radiological biomarkers can predict HE with a satisfactory performance.
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