WITHDRAWN: Predicting the risk of fetal distress in premature infants with intrauterine umbilical cord torsion: development and assessment of a new predictive nomogram

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Abstract

Abstract Purpures: This study intends to establish a clinical prediction model of intrauterine distress in premature infants with intrauterine umbilical cord torsion. Methods: The clinical data of umbilical cord torsion induced by prenatal ultrasound in the third trimester of pregnancy in Beijing Obstetrics and Gynecology Hospital from September 2017 to September 2021 were retrospectively analyzed. Besides, the prediction model was developed and verified according to time. Taking fetal distress as the final variable, 13 predictive factors were selected for modeling. In the development group, the final predictors were selected into the final model by Lasso and multi-factor logistic regression, and the calibration, discrimination and Decision Curve Analysis (DCA) of the final model were evaluated. The final model was verified again by using the verification group data, and the stability of the final model was evaluated. Results: A total of 182 patients met the inclusion criteria from September 2017 to September 2021. 154 cases from September 2017 to September 2020 were divided into the development group and 28 cases from October 2020 to September 2021 were divided into the verification group. Except for the difference of infection factors during pregnancy between the two groups, there was no significant difference in other indexes (P < 0.05). After the development group was screened by Lasso and multi-factor logistic regression, the final five indexes were included in the final model. The model showed good calibration and differentiation, Area Under Curve (AUC) was 0.783, sensitivity was 65.2%, and specificity was 83.5%. External verification using verification group data showed that the model also had good calibration and differentiation. DCA showed that when the prediction model was within the 6-88% threshold, the model was effective in clinical application. Conclusion: For premature infants with umbilical cord torsion, this model can more easily evaluate the risk of fetal distress in uterus through the combination of clinical and ultrasonic indexes, so as to help clinical intervention and ensure maternal and infant safety.
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WITHDRAWN: Predicting the risk of fetal distress in premature infants with intrauterine umbilical cord torsion: development and assessment of a new predictive nomogram | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article WITHDRAWN: Predicting the risk of fetal distress in premature infants with intrauterine umbilical cord torsion: development and assessment of a new predictive nomogram Xuezhen Zhao, Zhengping Gao, Yan Niu, Chen Kou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6984333/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Editorial Note The full text of this preprint has been withdrawn by the authors in order to comply with an institutional policy on preprints. Therefore, the authors do not wish this work to be cited as a reference. Editorial notes are used to provide important context regarding the topic of a preprint or to alert readers to potential issues concerning that preprint or a downstream publication associated with it. For more information on editorial notes, see our Editorial Policies . Abstract The full text of this preprint has been withdrawn by the authors in order to comply with an institutional policy on preprints. Therefore, the authors do not wish this work to be cited as a reference. Full Text The authors have withdrawn this preprint from Research Square. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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