Validation of a Vaginal Birth after Cesarean Delivery Prediction Model in Teaching Hospitals of Addis Ababa University: A Cross-Sectional Study

被引:17
|
作者
Misgan, Eyaya [1 ]
Gedefaw, Abel [2 ]
Negash, Shiferaw [3 ]
Asefa, Anteneh [4 ,5 ]
机构
[1] Bahir Dar Univ, Dept Gynecol & Obstet, Coll Med & Hlth Sci, Bahir Dar, Ethiopia
[2] Hawassa Univ, Dept Gynecol & Obstet, Coll Med & Hlth Sci, Hawassa, Ethiopia
[3] Addis Ababa Univ, Dept Gynecol & Obstet, Coll Hlth Sci, Addis Ababa, Ethiopia
[4] Hawassa Univ, Sch Publ Hlth, Coll Med & Hlth Sci, Hawassa, Ethiopia
[5] Univ Melbourne, Nossal Inst Global Hlth, Sch Populat & Global Hlth, Melbourne, Vic, Australia
关键词
SUCCESS; TRIAL; LABOR;
D O I
10.1155/2020/1540460
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background. External validation of a vaginal birth after cesarean delivery (VBAC) prediction model is important before implementation in other settings. The primary aim of this study is to validate the Grobman prenatal VBAC calculator in the Ethiopian setting. Secondarily, the study was aimed at developing and comparing a new VBAC model that includes both the prenatal and intrapartum variables.Methods. A cross-sectional survey was conducted, complemented by a medical chart review of 268 women admitted at three teaching hospitals of Addis Ababa University and who underwent a trial of labor after one prior cesarean birth. Maternal age, prepregnancy BMI, prior vaginal delivery, prior VBAC, and prior cesarean delivery indication type were included in the Grobman model. Observed delivery outcomes were recorded and then compared with the outcomes predicted by the calculator. We assessed the predictive abilities of the Grobman model and the new model using a receiver operating characteristic (ROC) curve. Multivariate logistic regression analysis was conducted to identify variables associated with successful VBAC.Results. Out of the 268 participants, 186 (69.4%) (95% CI 57.5-81.3) had successful VBAC. The area under the ROC curve (AUC) of the Grobman model was 0.75 (95% CI 0.69-0.81). Notably, the novel model including both the prenatal and intrapartum variables had a better predictive value than the original model, with an AUC of 0.87 (95% CI 0.81-0.93). Prior VBAC, prepregnancy BMI, fetal membrane status, and fetal station at admission were predictors of VBAC in the newly developed logistic regression model.Conclusions. The success rate of VBAC was similar to other sub-Saharan African countries. The Grobman model performed adequately in the study setting; however, the model including both the prenatal and intrapartum variables was more predictive. Thus, intrapartum predictors used in the new model should be considered during intrapartum counseling.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Prediction models of vaginal birth after cesarean delivery: A systematic review
    Deng, Bo
    Li, Yan
    Chen, Jia-Yin
    Guo, Jun
    Tan, Jing
    Yang, Yang
    Liu, Ning
    INTERNATIONAL JOURNAL OF NURSING STUDIES, 2022, 135
  • [42] Validation of an Updated Vaginal Birth after Cesarean Delivery Prediction Model without Race and Ethnicity in Individuals with Two Prior Cesarean Deliveries.
    Goodman, Lillian H.
    Allshouse, Amanda A.
    Bruno, Ann M.
    Metz, Torri D.
    REPRODUCTIVE SCIENCES, 2024, 31 : 211A - 211A
  • [43] Can prediction of vaginal birth after cesarean at admission for delivery be improved?
    Kraus, Elena M.
    Perez, William M.
    Vricella, Laura K.
    Gross, Gilad A.
    Tomlinson, Tracy M.
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2020, 222 (01) : S150 - S150
  • [44] External validation of MFMUs vaginal birth after cesarean delivery calculator and construction of improved model
    Haggiag, Noa
    Eitan, Shani
    Maor-Sagie, Esther
    Hallak, Mordechai
    Gabbay-Benziv, Rinat
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2022, 226 (01) : S311 - S312
  • [45] Vaginal birth after cesarean score for the prediction of successful vaginal birth after cesarean section - A prospective observational study
    Varun, Neha
    Nigam, Aruna
    Gupta, Nidhi
    Mazhari, Farhat
    Kashyap, Varun
    INDIAN JOURNAL OF MEDICAL SPECIALITIES, 2023, 14 (01) : 15 - 21
  • [46] Psychological distress and associated factors among cancer patients in public hospitals, Addis Ababa, Ethiopia: a cross-sectional study
    Negussie, Frehiwot
    Giru, Berhanu Wordofa
    Yusuf, Nete Tewfik
    Gela, Debela
    BMC PSYCHOLOGY, 2023, 11 (01)
  • [47] Psychological distress and associated factors among cancer patients in public hospitals, Addis Ababa, Ethiopia: a cross-sectional study
    Frehiwot Negussie
    Berhanu Wordofa Giru
    Nete Tewfik Yusuf
    Debela Gela
    BMC Psychology, 11
  • [48] Immediate postpartum intrauterine contraceptive device utilization and influencing factors in Addis Ababa public hospitals: a cross-sectional study
    Geda, Yohannes Fikadu
    Nejaga, Seid Mohammed
    Belete, Mesfin Abebe
    Lemlem, Semarya Berhe
    Adamu, Addishiwet Fantahun
    CONTRACEPTION AND REPRODUCTIVE MEDICINE, 2021, 6 (01)
  • [49] Immediate postpartum intrauterine contraceptive device utilization and influencing factors in Addis Ababa public hospitals: a cross-sectional study
    Yohannes Fikadu Geda
    Seid Mohammed Nejaga
    Mesfin Abebe Belete
    Semarya Berhe Lemlem
    Addishiwet Fantahun Adamu
    Contraception and Reproductive Medicine, 6
  • [50] Prevalence and determinants of RH alloimmunization in Rh-negative women in teaching hospitals of Addis Ababa, Ethiopia: a hospital-based cross-sectional study
    Maruta, Melat B.
    Tesfaye, Kiflom
    Birhanu, Esayas
    Yigazu, Nuradin
    Yuya, Mohammed
    Debella, Adera
    Mussa, Ibsa
    FRONTIERS IN GLOBAL WOMENS HEALTH, 2023, 4