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Updated: Oct 9, 2025

Establishment of a Minimally Invasive Rat Model of Pulmonary Embolism Using Autologous Blood Clots
Published on: October 25, 2024
Development of a model to predict recurrence after bronchial artery embolization for non-cancer related hemoptysis
Hai-Tao Yan1, Guang-Dong Lu1, Xiang-Zhong Huang2
1Department of Interventional Radiology, The First Affiliated Hospital With Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, 210029, China.
Background:
Relapse after effective bronchial arterial embolization (BAE) for controlling hemoptysis is not uncommon. Studies reported diverse predictors of recurrence. However, a model to assess the probability of recurrence in non-cancer related hemoptysis patients after BAE has not been reported. This study was to develop a model to predict recurrence after BAE for non-cancer related hemoptysis.
Methods:
The study cohort included 487 patients who underwent BAE for non-cancer-related hemoptysis between January 2015 and December 2019. We derived the model's variables from univariate and multivariate Cox regression analyses. The model presented as a nomogram scaled by the proportional regression coefficient of each predictor. Model performance was assessed with respect to discrimination and calibration.
Results:
One-month and 1-, 2-, 3- and 5-year recurrence-free rates were 94.5%, 88.0%, 81.4%, 76.2% and 73.8%, respectively. Risk factors for recurrence were underlying lung diseases and the presence of systemic arterial-pulmonary circulation shunts. This risk prediction model with two risk factors provided good discrimination (area under curve, 0.69; 95% confidence interval, 0.62-0.76), and lower prediction error (integrated Brier score, 0.143).
Conclusion:
The proposed model based on routinely available clinical and imaging features demonstrates good performance for predicting recurrence of non-cancer-related hemoptysis after BAE. The model may assist clinicians in identifying higher-risk patients to improve the long-term efficacy of BAE.
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