Prediction of an effective cervical ripenning in the induction of labour using vaginal dinoprostone
Abstract To develop a predictive model for successful cervical ripening in women that undergo induction of labour by means of a vaginal prostaglandin slow-release delivery system (Propess®). Prospective observational study on 204 women that required induction of labour between February 2019 and May...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-33974-7 |
| _version_ | 1797836408249909248 |
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| author | Nuria López Jiménez Fiamma García Sánchez Rafael Hernández Pailos Valentin Rodrigo Álvaro Ana Pascual Pedreño María Moreno Cid Antonio Hernández Martínez Milagros Molina Alarcón |
| author_facet | Nuria López Jiménez Fiamma García Sánchez Rafael Hernández Pailos Valentin Rodrigo Álvaro Ana Pascual Pedreño María Moreno Cid Antonio Hernández Martínez Milagros Molina Alarcón |
| author_sort | Nuria López Jiménez |
| collection | DOAJ |
| description | Abstract To develop a predictive model for successful cervical ripening in women that undergo induction of labour by means of a vaginal prostaglandin slow-release delivery system (Propess®). Prospective observational study on 204 women that required induction of labour between February 2019 and May 2020 at “La Mancha Centro” hospital in Alcázar de San Juan, Spain. The main variable studied was effective cervical ripening (Bishop score > 6). Using multivariate analysis and binary logistic regression, we created three initial predictive models (model A: Bishop Score + Ultrasound cervical length + clinical variables (estimated fetal weight, premature rupture of membranes and body mass index)); model B: Ultrasound cervical lenght + clinical variables; and model C: Bishop score + clinical variables) to predict effective cervical ripening. All three predictive models obtained (A, B and C) presented good predictive capabilities, with an area under the ROC curve ≥ 0.76. Predictive model C, composed of the variables: gestational age (OR 1.55, 95% CI 1.18–2.03, p = 0.002), premature rupture of membranes (OR 3.21 95% CI 1.34–7.70, p = 0.09) body mass index (OR 0.93, 95% CI 0.87–0.98, p = 0.012), estimated fetal weight (OR 0.99, 95% CI 0.99–1.00, p = 0.068) and Bishop score (OR 1.49 95% CI 1.18–1.81, p = 0.001), is presented as the model of choice with an area under the ROC curve of 0.76 (95% CI 0.70–0.83, p < 0.001). A predictive model composed of the variables: gestational age, premature rupture of membranes, body mass index, estimated fetal weight and Bishop score upon admission presents good capabilities in predicting successful cervical ripening following administration of prostaglandins. This tool could be useful in making clinical decisions with regard to induction of labour. |
| first_indexed | 2024-04-09T15:09:41Z |
| format | Article |
| id | doaj.art-440dd42ecc5843759a61c88a682216a6 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T15:09:41Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-440dd42ecc5843759a61c88a682216a62023-04-30T11:17:16ZengNature PortfolioScientific Reports2045-23222023-04-011311910.1038/s41598-023-33974-7Prediction of an effective cervical ripenning in the induction of labour using vaginal dinoprostoneNuria López Jiménez0Fiamma García Sánchez1Rafael Hernández Pailos2Valentin Rodrigo Álvaro3Ana Pascual Pedreño4María Moreno Cid5Antonio Hernández Martínez6Milagros Molina Alarcón7Department of Obstetrics and Gynecology, Hospital Universitario de TorreviejaDepartment of Obstetrics and Gynecology, Hospital General Universitario Nuestra Señora del PradoDepartment of Gynecology, Hospital Universitario Ramón y CajalDepartment of Obstetrics and Gynecology, Hospital La Mancha CentroDepartment of Obstetrics and Gynecology, Hospital La Mancha CentroDepartment of Obstetrics and Gynecology, Hospital La Mancha CentroDepartment of Nursing, Physiotherapy and Occupational Therapy, Faculty of Nursing, University of Castilla La Mancha IDINEDepartment of Nursing, Physiotherapy and Occupational Therapy, Faculty of Nursing, University of Castilla-La Mancha IDINEAbstract To develop a predictive model for successful cervical ripening in women that undergo induction of labour by means of a vaginal prostaglandin slow-release delivery system (Propess®). Prospective observational study on 204 women that required induction of labour between February 2019 and May 2020 at “La Mancha Centro” hospital in Alcázar de San Juan, Spain. The main variable studied was effective cervical ripening (Bishop score > 6). Using multivariate analysis and binary logistic regression, we created three initial predictive models (model A: Bishop Score + Ultrasound cervical length + clinical variables (estimated fetal weight, premature rupture of membranes and body mass index)); model B: Ultrasound cervical lenght + clinical variables; and model C: Bishop score + clinical variables) to predict effective cervical ripening. All three predictive models obtained (A, B and C) presented good predictive capabilities, with an area under the ROC curve ≥ 0.76. Predictive model C, composed of the variables: gestational age (OR 1.55, 95% CI 1.18–2.03, p = 0.002), premature rupture of membranes (OR 3.21 95% CI 1.34–7.70, p = 0.09) body mass index (OR 0.93, 95% CI 0.87–0.98, p = 0.012), estimated fetal weight (OR 0.99, 95% CI 0.99–1.00, p = 0.068) and Bishop score (OR 1.49 95% CI 1.18–1.81, p = 0.001), is presented as the model of choice with an area under the ROC curve of 0.76 (95% CI 0.70–0.83, p < 0.001). A predictive model composed of the variables: gestational age, premature rupture of membranes, body mass index, estimated fetal weight and Bishop score upon admission presents good capabilities in predicting successful cervical ripening following administration of prostaglandins. This tool could be useful in making clinical decisions with regard to induction of labour.https://doi.org/10.1038/s41598-023-33974-7 |
| spellingShingle | Nuria López Jiménez Fiamma García Sánchez Rafael Hernández Pailos Valentin Rodrigo Álvaro Ana Pascual Pedreño María Moreno Cid Antonio Hernández Martínez Milagros Molina Alarcón Prediction of an effective cervical ripenning in the induction of labour using vaginal dinoprostone Scientific Reports |
| title | Prediction of an effective cervical ripenning in the induction of labour using vaginal dinoprostone |
| title_full | Prediction of an effective cervical ripenning in the induction of labour using vaginal dinoprostone |
| title_fullStr | Prediction of an effective cervical ripenning in the induction of labour using vaginal dinoprostone |
| title_full_unstemmed | Prediction of an effective cervical ripenning in the induction of labour using vaginal dinoprostone |
| title_short | Prediction of an effective cervical ripenning in the induction of labour using vaginal dinoprostone |
| title_sort | prediction of an effective cervical ripenning in the induction of labour using vaginal dinoprostone |
| url | https://doi.org/10.1038/s41598-023-33974-7 |
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