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To establish a risk prediction model for the occurrence of hypoxemia during painless bronchoscopy

The present study was focused on evaluating the clinical predictors of hypoxemia and establishing a multivariable, predictive model for hypoxemia in painless bronchoscopy. A total of 244 patients were enrolled in the study, and data were collected using a self-designed data collection. The retrospec...

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Autores principales: Yang, Nan, Jiang, Bei, Jia, Zhen, Wang, Tongyuan, Huang, Yu, Dong, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659595/
https://www.ncbi.nlm.nih.gov/pubmed/37986285
http://dx.doi.org/10.1097/MD.0000000000036164
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author Yang, Nan
Jiang, Bei
Jia, Zhen
Wang, Tongyuan
Huang, Yu
Dong, Wen
author_facet Yang, Nan
Jiang, Bei
Jia, Zhen
Wang, Tongyuan
Huang, Yu
Dong, Wen
author_sort Yang, Nan
collection PubMed
description The present study was focused on evaluating the clinical predictors of hypoxemia and establishing a multivariable, predictive model for hypoxemia in painless bronchoscopy. A total of 244 patients were enrolled in the study, and data were collected using a self-designed data collection. The retrospective data collected in this study included the relevant data of patients undergoing the painless bronchoscopy, and we used univariate analysis to deal with these influencing factors. Multivariate logistic regression analysis was used to establish the prediction equation, and receiver operating characteristic curve analysis was carried out. Receiver operating characteristic curves and the Hosmer–Lemeshow test were used to evaluate the model performance. P < .05 was considered to indicate statistical significance. Multivariate logistic regression indicated that body mass index (BMI) (odds ratio [OR]: 1.169; 95% confidence interval [CI]: 1.070–1.277), arterial partial pressure of oxygen (PaO(2)) (OR: 4.279; 95% CI: 2.378–7.699), alcohol consumption (OR: 2.021; 95% CI: 1.063–3.840), and whether the bronchoscope operation time exceeds 30 minutes (OR: 2.486; 95% CI: 1.174–5.267) were closely related to the occurrence of hypoxemia. The prediction model developed by the logistic regression equation was −4.911 + 1.454 (PaO(2)) + 0.156 (BMI) + 0.703 (Alcohol consumption) + 0.911 (time > 30th minutes). The prediction model showed that the area under the receiver operating characteristic curve was 0.687. The predictive model was well calibrated with a Hosmer–Lemeshow x(2) statistic of 4.869 (P = .772), indicating that our prediction model fit well. The accuracy (number of correct predictions divided by the number of total predictions) was 75%. The prediction model, consisting of BMI, PaO(2), alcohol consumption, and whether the bronchoscope operation time exceeds 30 minutes. It is an effective predictor of hypoxemia during sedation for painless bronchoscopy.
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spelling pubmed-106595952023-11-17 To establish a risk prediction model for the occurrence of hypoxemia during painless bronchoscopy Yang, Nan Jiang, Bei Jia, Zhen Wang, Tongyuan Huang, Yu Dong, Wen Medicine (Baltimore) 3900 The present study was focused on evaluating the clinical predictors of hypoxemia and establishing a multivariable, predictive model for hypoxemia in painless bronchoscopy. A total of 244 patients were enrolled in the study, and data were collected using a self-designed data collection. The retrospective data collected in this study included the relevant data of patients undergoing the painless bronchoscopy, and we used univariate analysis to deal with these influencing factors. Multivariate logistic regression analysis was used to establish the prediction equation, and receiver operating characteristic curve analysis was carried out. Receiver operating characteristic curves and the Hosmer–Lemeshow test were used to evaluate the model performance. P < .05 was considered to indicate statistical significance. Multivariate logistic regression indicated that body mass index (BMI) (odds ratio [OR]: 1.169; 95% confidence interval [CI]: 1.070–1.277), arterial partial pressure of oxygen (PaO(2)) (OR: 4.279; 95% CI: 2.378–7.699), alcohol consumption (OR: 2.021; 95% CI: 1.063–3.840), and whether the bronchoscope operation time exceeds 30 minutes (OR: 2.486; 95% CI: 1.174–5.267) were closely related to the occurrence of hypoxemia. The prediction model developed by the logistic regression equation was −4.911 + 1.454 (PaO(2)) + 0.156 (BMI) + 0.703 (Alcohol consumption) + 0.911 (time > 30th minutes). The prediction model showed that the area under the receiver operating characteristic curve was 0.687. The predictive model was well calibrated with a Hosmer–Lemeshow x(2) statistic of 4.869 (P = .772), indicating that our prediction model fit well. The accuracy (number of correct predictions divided by the number of total predictions) was 75%. The prediction model, consisting of BMI, PaO(2), alcohol consumption, and whether the bronchoscope operation time exceeds 30 minutes. It is an effective predictor of hypoxemia during sedation for painless bronchoscopy. Lippincott Williams & Wilkins 2023-11-17 /pmc/articles/PMC10659595/ /pubmed/37986285 http://dx.doi.org/10.1097/MD.0000000000036164 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 3900
Yang, Nan
Jiang, Bei
Jia, Zhen
Wang, Tongyuan
Huang, Yu
Dong, Wen
To establish a risk prediction model for the occurrence of hypoxemia during painless bronchoscopy
title To establish a risk prediction model for the occurrence of hypoxemia during painless bronchoscopy
title_full To establish a risk prediction model for the occurrence of hypoxemia during painless bronchoscopy
title_fullStr To establish a risk prediction model for the occurrence of hypoxemia during painless bronchoscopy
title_full_unstemmed To establish a risk prediction model for the occurrence of hypoxemia during painless bronchoscopy
title_short To establish a risk prediction model for the occurrence of hypoxemia during painless bronchoscopy
title_sort to establish a risk prediction model for the occurrence of hypoxemia during painless bronchoscopy
topic 3900
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659595/
https://www.ncbi.nlm.nih.gov/pubmed/37986285
http://dx.doi.org/10.1097/MD.0000000000036164
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