ArticleArchives of medical science : AMS2026
Development and validation of a nomogram prediction model for delayed cerebral edema after intracerebral hemorrhage based on serum inflammatory markers and hemodynamics.
Article in Archives of medical science : AMS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: To develop a risk prediction model of delayed cerebral edema after hypertensive cerebral hemorrhage based on serum inflammatory factors and hemodynamics, and to evaluate its clinical application value. Material and methods: Multivariate logistic regression was used to analyze the risk factors of postoperative bleeding and build a nomogram prediction model, and a receiver operating characteristic (ROC) curve and calibration curve were drawn to evaluate the prediction efficiency of the nomogram model, which was verified in the validation set. Results: The results of univariate analysis revealed significant differences in interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), macrophage inflammatory protein-1α (MIP-1α), cerebral blood flow (CBF), cerebrovascular reactivity (CVR), high-mobility group Box 1 protein (HMGB1), and C-reactive protein (CRP) between patients with edema and those without edema in training ( Conclusions: The nomogram prediction model of delayed cerebral edema after hypertensive cerebral hemorrhage based on serum inflammatory factors (IL-6, TNF-α, IL-1β), hemodynamic parameters (CBF, CVR), and other related factors (HMGB1, CRP) was successfully established. The model can effectively predict the risk of delayed cerebral edema in patients with hypertensive cerebral hemorrhage.
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