{"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":45340,"journal":{"name":"Turkish Journal of Obstetrics and Gynecology","volume":" 688","pages":"249 - 254"},"PeriodicalIF":1.0000,"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\":45340,\"journal\":{\"name\":\"Turkish Journal of Obstetrics and Gynecology\",\"volume\":\" 688\",\"pages\":\"249 - 254\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Turkish Journal of Obstetrics and Gynecology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4274/tjod.galenos.2023.77392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Turkish Journal of Obstetrics and Gynecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4274/tjod.galenos.2023.77392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OBSTETRICS & GYNECOLOGY","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.