{"title":"冷冻胚胎移植后阴道分娩产后出血的预测评分","authors":"Akitoshi Yamamura, Akiko Okuda, Akiko Abe, Yuki Kashihara, Ayako Moribe, Yuki Kozono, K. Sekiyama, Yumiko Yoshioka, Toshihiro Higuchi","doi":"10.4274/tjod.galenos.2023.77392","DOIUrl":null,"url":null,"abstract":"Objective: To develop a predictive score for life-threatening severe postpartum hemorrhage in vaginal deliveries following frozen embryo transfer. Materials and Methods: We conducted a retrospective cohort study of 315 singleton vaginal deliveries following frozen embryo transfer from 2017 to 2022. Severe postpartum hemorrhage was defined as hemorrhage exceeding 1500 mL. A predictive score was generated from maternal characteristics and obstetric complications before delivery. We performed multivariable logistic regression analysis using 2017-2020 data and assigned points to identified risk factors. The predictive score’s accuracy was evaluated using 2021-2022 data. Results: A large baby (birth weight ≥3500 g), pre-delivery maternal body mass index ≥25 kg/m2, marginal or velamentous umbilical cord insertion, and history of postpartum hemorrhage were identified as risk factors. We assigned one point to a large baby, a pre-delivery maternal body mass index ≥25 kg/m2, and marginal or velamentous umbilical cord insertion, and two points to a history of postpartum hemorrhage. The sum of the points was defined as the predictive score. The cut-off was set at two points, with a score ≥2 points being the high-risk group and a score ≤1 point being the low-risk group. The predictive score demonstrated a sensitivity of 47.8%, specificity of 85.4%, positive predictive value of 45.8%, and negative predictive value of 86.4% in the 2021-2022 validation cohort. Conclusion: The predictive score identified severe postpartum hemorrhage in approximately half of the high-risk cases. Implementing measures such as autologous blood storage may facilitate rapid response during heavy bleeding and improve maternal prognosis.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictive score for postpartum hemorrhage in vaginal deliveries following frozen embryo transfer\",\"authors\":\"Akitoshi Yamamura, Akiko Okuda, Akiko Abe, Yuki Kashihara, Ayako Moribe, Yuki Kozono, K. Sekiyama, Yumiko Yoshioka, Toshihiro Higuchi\",\"doi\":\"10.4274/tjod.galenos.2023.77392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: To develop a predictive score for life-threatening severe postpartum hemorrhage in vaginal deliveries following frozen embryo transfer. Materials and Methods: We conducted a retrospective cohort study of 315 singleton vaginal deliveries following frozen embryo transfer from 2017 to 2022. Severe postpartum hemorrhage was defined as hemorrhage exceeding 1500 mL. A predictive score was generated from maternal characteristics and obstetric complications before delivery. We performed multivariable logistic regression analysis using 2017-2020 data and assigned points to identified risk factors. The predictive score’s accuracy was evaluated using 2021-2022 data. Results: A large baby (birth weight ≥3500 g), pre-delivery maternal body mass index ≥25 kg/m2, marginal or velamentous umbilical cord insertion, and history of postpartum hemorrhage were identified as risk factors. We assigned one point to a large baby, a pre-delivery maternal body mass index ≥25 kg/m2, and marginal or velamentous umbilical cord insertion, and two points to a history of postpartum hemorrhage. The sum of the points was defined as the predictive score. The cut-off was set at two points, with a score ≥2 points being the high-risk group and a score ≤1 point being the low-risk group. The predictive score demonstrated a sensitivity of 47.8%, specificity of 85.4%, positive predictive value of 45.8%, and negative predictive value of 86.4% in the 2021-2022 validation cohort. Conclusion: The predictive score identified severe postpartum hemorrhage in approximately half of the high-risk cases. Implementing measures such as autologous blood storage may facilitate rapid response during heavy bleeding and improve maternal prognosis.\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4274/tjod.galenos.2023.77392\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4274/tjod.galenos.2023.77392","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Predictive score for postpartum hemorrhage in vaginal deliveries following frozen embryo transfer
Objective: To develop a predictive score for life-threatening severe postpartum hemorrhage in vaginal deliveries following frozen embryo transfer. Materials and Methods: We conducted a retrospective cohort study of 315 singleton vaginal deliveries following frozen embryo transfer from 2017 to 2022. Severe postpartum hemorrhage was defined as hemorrhage exceeding 1500 mL. A predictive score was generated from maternal characteristics and obstetric complications before delivery. We performed multivariable logistic regression analysis using 2017-2020 data and assigned points to identified risk factors. The predictive score’s accuracy was evaluated using 2021-2022 data. Results: A large baby (birth weight ≥3500 g), pre-delivery maternal body mass index ≥25 kg/m2, marginal or velamentous umbilical cord insertion, and history of postpartum hemorrhage were identified as risk factors. We assigned one point to a large baby, a pre-delivery maternal body mass index ≥25 kg/m2, and marginal or velamentous umbilical cord insertion, and two points to a history of postpartum hemorrhage. The sum of the points was defined as the predictive score. The cut-off was set at two points, with a score ≥2 points being the high-risk group and a score ≤1 point being the low-risk group. The predictive score demonstrated a sensitivity of 47.8%, specificity of 85.4%, positive predictive value of 45.8%, and negative predictive value of 86.4% in the 2021-2022 validation cohort. Conclusion: The predictive score identified severe postpartum hemorrhage in approximately half of the high-risk cases. Implementing measures such as autologous blood storage may facilitate rapid response during heavy bleeding and improve maternal prognosis.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.