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ABSTRACT: Introduction
Venous thromboembolism (VTE) is an important complication after spontaneous intracerebral hemorrhage (ICH). However, it remains a clinical challenge to identify individuals at high risk for VTE in a population with ICH. This study aimed to develop a model integrating cardiac biomarkers with clinical-radiological factors for predicting VTE risk in patients with spontaneous ICH.Methods
ICH patients were retrospectively enrolled between October 2019 and December 2022. Baseline clinical characteristics, laboratory data, and radiological features were collected. Patients with pulmonary embolism (PE) and deep vein thrombosis were classified into the VTE group. Cox regression analysis was used to identify independent predictors of in-hospital VTE. A nomogram was devel
SUBMITTER: Yuan M
PROVIDER: S-EPMC12695119 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature