Development of a model to predict recurrence after bronchial artery embolization for non-cancer related hemoptysis.

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.

A Nomogram to Predict Recurrence After Bronchial Artery Embolization for Hemoptysis Due to Bronchiectasis.

OBJECTIVE: To develop and validate a nomogram for predicting recurrent hemoptysis after successful bronchial arterial embolization (BAE) in patients with bronchiectasis. MATERIALS AND METHODS: From January 2015 to December 2019, a total of 251 patients were enrolled in this study. A nomogram was developed with the predictors of recurrent events, which were identified by univariate and multivariate Cox regression analyses. We evaluated nomogram discrimination by area under the receiver operating characteristic curve, calibration by the calibration curve, and clinical usefulness potential by decision curve analysis. RESULTS: The one-month, 1-year, 2-year, 3-year, and 5-year cumulative recurrence-free rates of patients were 98.4%, 90.5%, 82.8%, 77.7%, and 74.4%, respectively. Three predictive factors, namely sex, lung destruction, and systemic arterial-pulmonary circulation shunts, were applied to develop the nomogram. The model maintained good discrimination (area under the curve, 0.72; 95% confidence interval, 0.62-0.81), low prediction error (integrated Brier score, 0.129), and certain net benefits in terms of clinical usefulness. CONCLUSIONS: The proposed nomogram showed favorable predictive efficacy for hemoptysis recurrence after BAE in patients with bronchiectasis. Improved long-term outcomes are expected with close follow-up, a healthy lifestyle, and pulmonary rehabilitation for patients at risk of recurrence according to the model.