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Influence factor analysis and prediction model of successful application of high-volume Foley Catheter for labor induction

BACKGROUND: This study aimed to establish a clinical-based nomogram for predicting the success rate of high-volume Foley catheterization for labor induction. METHODS: This retrospective study included 1149 full-term pregnant women who received high-volume Foley catheterization for labor induction fr...

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Autores principales: Wang, Jia, Cao, Yu, Chen, Lu, Tao, Yan, Huang, Huanhuan, Miao, Chunju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10633906/
https://www.ncbi.nlm.nih.gov/pubmed/37946140
http://dx.doi.org/10.1186/s12884-023-06101-7
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author Wang, Jia
Cao, Yu
Chen, Lu
Tao, Yan
Huang, Huanhuan
Miao, Chunju
author_facet Wang, Jia
Cao, Yu
Chen, Lu
Tao, Yan
Huang, Huanhuan
Miao, Chunju
author_sort Wang, Jia
collection PubMed
description BACKGROUND: This study aimed to establish a clinical-based nomogram for predicting the success rate of high-volume Foley catheterization for labor induction. METHODS: This retrospective study included 1149 full-term pregnant women who received high-volume Foley catheterization for labor induction from January 2019 to December 2021 in Changshu No.1 People’s Hospital. Univariate and multivariate logistic regression analyses were performed, in which the labor induction success was set as dependent variables and the characteristics (including age, height, weight, BMI, gravidity, parity, gestational age, uterine height, abdominal circumference, cervical Bishop score, amniotic fluid index, cephalic presentation, neonatal weight, pregnancy complications, etc.) were set as independent variables. A nomogram scoring model was established based on these risk factors, and a calibration curve was plotted to verify the predictive accuracy of the model. RESULTS: The success rate of labor induction was 83.55% (960/1149). Univariate analysis revealed that the risk factors associated with the success rate of high-volume Foley catheterization for labor induction were height, pregnancy, birth, age, weight, BMI, uterine height, abdominal circumference, and hypertension. Multivariate logistic regression analysis showed that age (OR = 0.950; 95% CI: 0.904 ~ 0.998), height (OR = 1.062; 95% CI: 1.026 ~ 1.100), BMI (OR = 0.871; 95% CI: 0.831 ~ 0.913), and parity (OR = 8.007; 95% CI: 4.483 ~ 14.303) were independent risk factors for labor induction success by high-volume Foley catheterization. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve in the prediction model was 0.752 (95% CI 0.716 ~ 0.788). A nomogram was constructed based on the final multivariate analysis with a corrected C-index of 0.748, which indicated that the model was calibrated reasonably. CONCLUSION: Four risk factors were used to construct a nomogram to evaluate the success rate of high-volume Foley catheterization for labor induction. The nomogram provides a visual clinical tool to assist in the selection of the most appropriate mode of labor induction for pregnant women of different risk levels.
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spelling pubmed-106339062023-11-10 Influence factor analysis and prediction model of successful application of high-volume Foley Catheter for labor induction Wang, Jia Cao, Yu Chen, Lu Tao, Yan Huang, Huanhuan Miao, Chunju BMC Pregnancy Childbirth Research BACKGROUND: This study aimed to establish a clinical-based nomogram for predicting the success rate of high-volume Foley catheterization for labor induction. METHODS: This retrospective study included 1149 full-term pregnant women who received high-volume Foley catheterization for labor induction from January 2019 to December 2021 in Changshu No.1 People’s Hospital. Univariate and multivariate logistic regression analyses were performed, in which the labor induction success was set as dependent variables and the characteristics (including age, height, weight, BMI, gravidity, parity, gestational age, uterine height, abdominal circumference, cervical Bishop score, amniotic fluid index, cephalic presentation, neonatal weight, pregnancy complications, etc.) were set as independent variables. A nomogram scoring model was established based on these risk factors, and a calibration curve was plotted to verify the predictive accuracy of the model. RESULTS: The success rate of labor induction was 83.55% (960/1149). Univariate analysis revealed that the risk factors associated with the success rate of high-volume Foley catheterization for labor induction were height, pregnancy, birth, age, weight, BMI, uterine height, abdominal circumference, and hypertension. Multivariate logistic regression analysis showed that age (OR = 0.950; 95% CI: 0.904 ~ 0.998), height (OR = 1.062; 95% CI: 1.026 ~ 1.100), BMI (OR = 0.871; 95% CI: 0.831 ~ 0.913), and parity (OR = 8.007; 95% CI: 4.483 ~ 14.303) were independent risk factors for labor induction success by high-volume Foley catheterization. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve in the prediction model was 0.752 (95% CI 0.716 ~ 0.788). A nomogram was constructed based on the final multivariate analysis with a corrected C-index of 0.748, which indicated that the model was calibrated reasonably. CONCLUSION: Four risk factors were used to construct a nomogram to evaluate the success rate of high-volume Foley catheterization for labor induction. The nomogram provides a visual clinical tool to assist in the selection of the most appropriate mode of labor induction for pregnant women of different risk levels. BioMed Central 2023-11-09 /pmc/articles/PMC10633906/ /pubmed/37946140 http://dx.doi.org/10.1186/s12884-023-06101-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Jia
Cao, Yu
Chen, Lu
Tao, Yan
Huang, Huanhuan
Miao, Chunju
Influence factor analysis and prediction model of successful application of high-volume Foley Catheter for labor induction
title Influence factor analysis and prediction model of successful application of high-volume Foley Catheter for labor induction
title_full Influence factor analysis and prediction model of successful application of high-volume Foley Catheter for labor induction
title_fullStr Influence factor analysis and prediction model of successful application of high-volume Foley Catheter for labor induction
title_full_unstemmed Influence factor analysis and prediction model of successful application of high-volume Foley Catheter for labor induction
title_short Influence factor analysis and prediction model of successful application of high-volume Foley Catheter for labor induction
title_sort influence factor analysis and prediction model of successful application of high-volume foley catheter for labor induction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10633906/
https://www.ncbi.nlm.nih.gov/pubmed/37946140
http://dx.doi.org/10.1186/s12884-023-06101-7
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