Developing and Validating Nomogram to Predict Severe Postpartum Hemorrhage in Women With Placenta Previa Undergoing Cesarean Delivery: A Multicenter Retrospective Case-Control Study

被引:5
|
作者
Dang, Xiaohe [1 ]
Zhang, Li [2 ]
Bao, Yindi [3 ]
Xu, Jie [4 ]
Du, Hui [5 ]
Wang, Shaoshuai [1 ]
Liu, Yanyan [1 ]
Deng, Dongrui [1 ]
Chen, Suhua [1 ]
Zeng, Wanjiang [1 ]
Feng, Ling [1 ]
Liu, Haiyi [1 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Med Coll, Tongji Hosp, Dept Obstet & Gynecol, Wuhan, Peoples R China
[2] Cent Hosp Wuhan, Dept Obstet & Gynecol, Wuhan, Peoples R China
[3] Wuhan Univ, Dept Obstet, Renmin Hosp, Wuhan, Peoples R China
[4] Hubei Univ Sci & Technol, Xianning Cent Hosp, Dept Obstet, Affiliated Hosp 1, Xianning, Peoples R China
[5] Huazhong Univ Sci & Technol, Maternal & Child Hlth Hosp Hubei Prov, Tongji Med Coll, Dept Obstet, Wuhan, Peoples R China
关键词
placenta previa; severe postpartum hemorrhage; multivariate logistic regression; prediction model; nomogram; TRANSFUSION;
D O I
10.3389/fmed.2021.789529
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveDeveloping and validating nomogram to predict severe postpartum hemorrhage (SPPH) in women with placenta previa (PP) undergoing cesarean delivery. MethodsWe conducted a multicenter retrospective case-control study in five hospitals. In this study, 865 patients from January, 2018 to June, 2020 were enrolled in the development cohort, and 307 patients from July, 2020 to June, 2021 were enrolled in the validation cohort. Independent risk factors for SPPH were obtained by using the multivariate logistic regression, and preoperative nomogram and intraoperative nomogram were developed, respectively. We compared the discrimination, calibration, and net benefit of the two nomograms in the development cohort and validation cohort. Then, we tested whether the intraoperative nomogram could be used before operation. ResultsThere were 204 patients (23.58%) in development cohort and 80 patients (26.06%) in validation cohort experienced SPPH. In development cohort, the areas under the receiver operating characteristic (ROC) curve (AUC) of the preoperative nomogram and intraoperative nomogram were 0.831 (95% CI, 0.804, 0.855) and 0.880 (95% CI, 0.854, 0.905), respectively. In validation cohort, the AUC of the preoperative nomogram and intraoperative nomogram were 0.825 (95% CI, 0.772, 0.877) and 0.853 (95% CI, 0.808, 0.898), respectively. In the validation cohort, the AUC was 0.839 (95% CI, 0.789, 0.888) when the intraoperative nomogram was used before operation. ConclusionWe developed the preoperative nomogram and intraoperative nomogram to predict the risk of SPPH in women with PP undergoing cesarean delivery. By comparing the discrimination, calibration, and net benefit of the two nomograms in the development cohort and validation cohort, we think that the intraoperative nomogram performed better. Moreover, application of the intraoperative nomogram before operation can still achieve good prediction effect, which can be improved if the severity of placenta accreta spectrum (PAS) can be accurately distinguished preoperatively. We expect to conduct further prospective external validation studies on the intraoperative nomogram to evaluate its application value.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Nomogram based on clinical characteristics and ultrasound indicators for predicting severe postpartum hemorrhage in patients with anterior placenta previa combined with previous cesarean section: a retrospective case-control study
    Cao, Pin
    Ji, Lu
    Qiao, Chong
    BMC PREGNANCY AND CHILDBIRTH, 2024, 24 (01)
  • [2] Nomogram to predict postpartum hemorrhage in cesarean delivery for women with scarred uterus: A retrospective cohort study in China
    Chen, Bingnan
    Zhang, Liyang
    Wang, Di
    Li, Jiapo
    Hou, Yue
    Yang, Tian
    Li, Na
    Qiao, Chong
    JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH, 2020, 46 (09) : 1772 - 1782
  • [3] Ethnic disparities in postpartum hemorrhage after cesarean delivery: a retrospective case-control study
    Wang, Yu
    Gao, Hexin
    Bao, Tuvshin
    Yang, Lijuan
    Ding, Guifeng
    Ba, Demu
    Sun, Shujun
    Lin, Yun
    Yao, Shanglong
    JOURNAL OF ANESTHESIA, 2021, 35 (02) : 197 - 205
  • [4] Nomogram to predict postpartum hemorrhage in cesarean delivery for twin pregnancies: a retrospective cohort study in China
    Zhang, Yanhua
    Chen, Lu
    Zhou, Weixiao
    Lin, Jun
    Wen, Hong
    FRONTIERS IN MEDICINE, 2023, 10
  • [5] Development and validation of a nomogram for predicting postpartum hemorrhage in women with preeclampsia: A retrospective case-control study
    Zheng, Yihan
    Zhang, Li
    Wu, Xizhu
    MEDICINE, 2024, 103 (45)
  • [6] A risk model to predict severe postpartum hemorrhage in patients with placenta previa: a single-center retrospective study
    Chen, Cheng
    Liu, Xiaoyan
    Chen, Dan
    Huang, Song
    Yan, Xiaoli
    Liu, Heying
    Chang, Qing
    Liang, Zhiqing
    ANNALS OF PALLIATIVE MEDICINE, 2019, 8 (05) : 611 - 621
  • [7] Risk Factors for Severe Postpartum Hemorrhage After Cesarean Delivery: Case-Control Studies
    Butwick, Alexander J.
    Ramachandran, Bharathi
    Hegde, Priya
    Riley, Edward T.
    El-Sayed, Yasser Y.
    Nelson, Lorene M.
    ANESTHESIA AND ANALGESIA, 2017, 125 (02): : 523 - 532
  • [8] Anesthetic management in cesarean delivery of women with placenta previa: a retrospective cohort study
    Dazhi Fan
    Jiaming Rao
    Dongxin Lin
    Huishan Zhang
    Zixing Zhou
    Gengdong Chen
    Pengsheng Li
    Wen Wang
    Ting Chen
    Fengying Chen
    Yuping Ye
    Xiaoling Guo
    Zhengping Liu
    BMC Anesthesiology, 21
  • [9] Anesthetic management in cesarean delivery of women with placenta previa: a retrospective cohort study
    Fan, Dazhi
    Rao, Jiaming
    Lin, Dongxin
    Zhang, Huishan
    Zhou, Zixing
    Chen, Gengdong
    Li, Pengsheng
    Wang, Wen
    Chen, Ting
    Chen, Fengying
    Ye, Yuping
    Guo, Xiaoling
    Liu, Zhengping
    BMC ANESTHESIOLOGY, 2021, 21 (01)
  • [10] Risk factors of severe postpartum hemorrhage in pregnant women with placenta previa or low-lying placenta: a retrospective cohort study
    Hu, Huiying
    Wang, Liying
    Gao, Jinsong
    Chen, Ziyi
    Chen, Xiaoxu
    Tang, Pingping
    Zhong, Yifeng
    BMC PREGNANCY AND CHILDBIRTH, 2024, 24 (01)