A prediction model for risk of low oxygen saturation in patients with post-tuberculosis tracheobronchial stenosis during bronchoscopy DOI Creative Commons
Hui Chen, Sen Tian, Haidong Huang

et al.

Therapeutic Advances in Respiratory Disease, Journal Year: 2023, Volume and Issue: 17

Published: Jan. 1, 2023

Background: Low oxygen saturation (LOS) is a frequent occurrence for patients with post-tuberculosis tracheobronchial stenosis (PTTS) during bronchoscopic procedures. However, there are currently no systematic assessment tools to predict LOS risk in PTTS bronchoscopy. Objectives: This study aimed develop an effective preoperative predictive model guide clinical practice. Design: Retrospective cohort study. Methods: Data was retrospectively collected from who underwent interventions between January 2017 and December 2022. Among all included this study, 2021 were used as training the logistic regression model, 2022 utilized validation internal validation. We consistency index (C-index), goodness-of-fit test calibration plot evaluate performance. Results: A total of 465 met inclusion criteria enrolled The overall incidence 26.0% (121/465). Comorbidity, degree stenosis, bronchoscopist level, thermal ablation therapy, balloon dilation, airway stenting, independent factors presence LOS, construct nomogram prediction model. C-index 0.827 (95% CI, 0.786–0.869), whereas that 0.836 0.757–0.916), combining results test, demonstrating had good ability. Conclusion: derived ability has been developed preoperatively bronchoscopy, allowing individualized high-risk patients.

Language: Английский

A prediction model for risk of low oxygen saturation in patients with post-tuberculosis tracheobronchial stenosis during bronchoscopy DOI Creative Commons
Hui Chen, Sen Tian, Haidong Huang

et al.

Therapeutic Advances in Respiratory Disease, Journal Year: 2023, Volume and Issue: 17

Published: Jan. 1, 2023

Background: Low oxygen saturation (LOS) is a frequent occurrence for patients with post-tuberculosis tracheobronchial stenosis (PTTS) during bronchoscopic procedures. However, there are currently no systematic assessment tools to predict LOS risk in PTTS bronchoscopy. Objectives: This study aimed develop an effective preoperative predictive model guide clinical practice. Design: Retrospective cohort study. Methods: Data was retrospectively collected from who underwent interventions between January 2017 and December 2022. Among all included this study, 2021 were used as training the logistic regression model, 2022 utilized validation internal validation. We consistency index (C-index), goodness-of-fit test calibration plot evaluate performance. Results: A total of 465 met inclusion criteria enrolled The overall incidence 26.0% (121/465). Comorbidity, degree stenosis, bronchoscopist level, thermal ablation therapy, balloon dilation, airway stenting, independent factors presence LOS, construct nomogram prediction model. C-index 0.827 (95% CI, 0.786–0.869), whereas that 0.836 0.757–0.916), combining results test, demonstrating had good ability. Conclusion: derived ability has been developed preoperatively bronchoscopy, allowing individualized high-risk patients.

Language: Английский

Citations

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