Objective <p>To investigate the prognostic factors of bronchial artery embolization (BAE) for hemoptysis. Please verify if the provided city are correct and amend if necessary." Resolved="yes"--&gt;</p> Methods <p>Initially, we collected information on 179 patients who underwent BAE for hemoptysis in the Department of Interventional Vascular Medicine of Jiangxi Provincial Chest Hospital and the Department of Respiratory and Critical Care Medicine of the First People’s Hospital of Jingdezhen from March 2023 to August 2023. Further, the correlation between different influencing factors and the clinical success rate of the procedure was assessed. The most relevant prognostic factors were selected using the univariate analysis and LASSO, performing the logistic regression modeling for the final selected predictors.</p> Results <p>Among the selected subjects (<i>n</i> = 160), the technical and clinical success rates of BAE were 99% (159/160) and 86.25% (138/160), respectively. The predictive factors associated with the reduced clinical success were hemoptysis due to lung tumors, severe hemoptysis, recent anticoagulant/antiplatelet drugs, the presence of pulmonary artery pseudoaneurysm, and elevated blood sedimentation values. The developed model from these five predictors showed excellent ability with a well-calibrated area under the curve (AUC) of 0.864.</p> Conclusion <p>In summary, the developed model could feasibly predict the clinical success of BAE for hemoptysis, which could promptly support clinicians in making decisions on treatment options.</p>

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A model for predicting the therapeutic efficacy of bronchial artery embolization in treating hemoptysis

  • Cao Zheng,
  • Ying Jiang,
  • Jieyan Zhu,
  • Yuhua Xu

摘要

Objective

To investigate the prognostic factors of bronchial artery embolization (BAE) for hemoptysis. Please verify if the provided city are correct and amend if necessary." Resolved="yes"-->

Methods

Initially, we collected information on 179 patients who underwent BAE for hemoptysis in the Department of Interventional Vascular Medicine of Jiangxi Provincial Chest Hospital and the Department of Respiratory and Critical Care Medicine of the First People’s Hospital of Jingdezhen from March 2023 to August 2023. Further, the correlation between different influencing factors and the clinical success rate of the procedure was assessed. The most relevant prognostic factors were selected using the univariate analysis and LASSO, performing the logistic regression modeling for the final selected predictors.

Results

Among the selected subjects (n = 160), the technical and clinical success rates of BAE were 99% (159/160) and 86.25% (138/160), respectively. The predictive factors associated with the reduced clinical success were hemoptysis due to lung tumors, severe hemoptysis, recent anticoagulant/antiplatelet drugs, the presence of pulmonary artery pseudoaneurysm, and elevated blood sedimentation values. The developed model from these five predictors showed excellent ability with a well-calibrated area under the curve (AUC) of 0.864.

Conclusion

In summary, the developed model could feasibly predict the clinical success of BAE for hemoptysis, which could promptly support clinicians in making decisions on treatment options.