A predictive nomogram for intracerebral hematoma expansion based on non-contrast computed tomography and clinical features

Purpose To develop and validate a new nomogram utilizing non-contrast computed tomography (NCCT) signs and clinical factors for predicting hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (ICH). Methods HE was defined as > 6 mL or 33% increase in baseline hematoma vol...

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Bibliographic Details
Published in:Neuroradiology 2022-08, Vol.64 (8), p.1547-1556
Main Authors: Zhang, Xiuping, Gao, Qianqian, Chen, Kaidong, Wu, Qiuxiang, Chen, Bixue, Zeng, Shangyu, Fang, Xiangming
Format: Article
Language:English
Subjects:
Accuracy
Calibration
Computed tomography
Confidence intervals
Decision analysis
Diagnostic Neuroradiology
Hematoma
Hemorrhage
Imaging
Impact analysis
Leukocytes (neutrophilic)
Lymphocytes
Medicine
Medicine & Public Health
Neurology
Neuroradiology
Neurosciences
Neurosurgery
Nomograms
Patients
Programming languages
Radiology
Regression analysis
Risk analysis
Risk factors
Statistical analysis
Tomography
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Summary:Purpose To develop and validate a new nomogram utilizing non-contrast computed tomography (NCCT) signs and clinical factors for predicting hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (ICH). Methods HE was defined as > 6 mL or 33% increase in baseline hematoma volume. Multivariable logistic regression analysis was performed to identify the predictors of HE. The discriminatory performance of the proposed model was evaluated via receiver operation characteristic (ROC) analysis, and the predictive accuracy was assessed by a calibration curve. The nomogram was established by R programming language. The decision curve analysis and clinical impact curve were drawn according to the related risk factors. Results A total of 506 patients with spontaneous ICH were recruited in the development cohort, and 103 patients were registered as the external validation cohort. Among the development cohort, 132 (26.09%) experienced HE. Glasgow coma scale (GCS) ( P  
ISSN:0028-3940
1432-1920
DOI:10.1007/s00234-022-02899-9