This model predicts intracranial hypertension in cerebral venous thrombosis patients, suggesting effective noninvasive risk stratification methods.
Background Intracranial hypertension (IH) is a frequently observed clinical manifestation of cerebral venous thrombosis (CVT), which reflects the severity of the disease. The gold standard of intracranial pressure (ICP) is through invasive lumbar puncture. Objectives We aimed to develop a noninvasive model combining biomarkers and clinical features to predict IH in CVT patients, facilitating early risk stratification. Methods The patients with CVT were consecutively enrolled in the Second Affiliated Hospital of Soochow University and the First Affiliated Hospital of Soochow University between January 2011 and June 2024, which were divided into two groups: CVT‐IH group and CVT + IH group based on ICP levels. Additionally, participants were further categorized into four groups according to the cut‐off of C‐reactive protein (CRP) and international normalized ratio (INR) by the receiver operating characteristic (ROC) curves. Logistic regression models were employed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) of IH across the four subgroups. Results 157 individuals were finally included, 61 of whom had IH. Participants with CRP > 5.5 g/L or INR < 0.99 were more likely to experience IH. Those with high CRP and low INR conferred 9.778 times higher risk of IH compared with that of those with low CRP and high INR. Simultaneously adding CRP and INR to the basic model with established risk factors significantly improved risk discrimination and reclassification for IH of CVT patients. Conclusions Combination of CRP and INR better predicted the occurrence of IH for CVT patients, which might provide a noninvasive way of assessing ICP of CVT patients.
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Yan et al. (2025) studied this question.
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