Predictive Factors for the Success of Vaginal Dinoprostone for the Induction of Labour.
cervical ripening
dinoprostone
labor induction
predictive model
Journal
International journal of women's health
ISSN: 1179-1411
Titre abrégé: Int J Womens Health
Pays: New Zealand
ID NLM: 101531698
Informations de publication
Date de publication:
2024
2024
Historique:
received:
23
01
2024
accepted:
30
05
2024
medline:
18
6
2024
pubmed:
18
6
2024
entrez:
18
6
2024
Statut:
epublish
Résumé
To evaluate factors predictive of the success of a slow-release dinoprostone vaginal insert for cervical ripening. This retrospective study included 187 women who received dinoprostone vaginal inserts for cervical ripening. The participants were divided into two groups: the transvaginal delivery group (n = 87) and cesarean section termination group (n = 100). The correlation between the parameters present before cervical ripening with dinoprostone slow release and its success, as well as complications and adverse outcomes, was analyzed. Cesarean section predictors and area under the curve (AUC) were compared between the two Groups. There were statistical differences between the two groups in body mass index (BMI), height, cervical Bishop score, cephalic position, time of medication use, and fetal head position at the time of medication use ( The combined model was a better predictor of cesarean section in dinoprostone vaginal inserts for cervical ripening and labor induction. The success of cervical ripening with a dinoprostone slow-release vaginal insert can be predicted by the factors that can be recognized at admission.
Identifiants
pubmed: 38887592
doi: 10.2147/IJWH.S461094
pii: 461094
pmc: PMC11182355
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1093-1101Informations de copyright
© 2024 Liu et al.
Déclaration de conflit d'intérêts
The authors declare no competing interests.
Références
Am Fam Physician. 2003 May 15;67(10):2123-8
pubmed: 12776961
Am J Perinatol. 2013 Sep;30(8):625-30
pubmed: 23283806
Aust Health Rev. 2013 Sep;37(4):467-73
pubmed: 24018055
Arch Gynecol Obstet. 2017 Aug;296(2):167-179
pubmed: 28585102
J Clin Epidemiol. 2019 Oct;114:125-132
pubmed: 31229583
J Obstet Gynaecol Res. 2018 Sep;44(9):1739-1746
pubmed: 29978599
Eurasian J Med. 2022 Feb;54(1):72-76
pubmed: 35307633
Semin Perinatol. 2020 Mar;44(2):151216
pubmed: 31813539
BJOG. 2017 Apr;124(5):796-803
pubmed: 27307397
Med Sci Monit. 2023 Jun 27;29:e940127
pubmed: 37368878
BMJ. 2015 Feb 05;350:h217
pubmed: 25656228
Clin Obstet Gynecol. 2000 Sep;43(3):469-74
pubmed: 10949751
Eur J Obstet Gynecol Reprod Biol. 2023 Oct;289:108-128
pubmed: 37660506
BJOG. 2015 Jan;122(1):94-104
pubmed: 24824157
BJOG. 2007 Mar;114(3):343-8
pubmed: 17261121
Am J Obstet Gynecol. 2014 Jan;210(1):56.e1-6
pubmed: 23999422
J Matern Fetal Neonatal Med. 2014 Apr;27(6):592-6
pubmed: 23919802
Obstet Gynecol. 2016 Dec;128(6):1357-1364
pubmed: 27824758
N Engl J Med. 2008 Apr 3;358(14):1427-9
pubmed: 18385495
Drug Discov Ther. 2015 Jun;9(3):165-72
pubmed: 26193937
Eur J Obstet Gynecol Reprod Biol. 2017 Oct;217:144-149
pubmed: 28898687
Health Res Policy Syst. 2022 Nov 7;20(1):125
pubmed: 36344986
BJOG. 2016 Feb;123(3):346-54
pubmed: 26538408
Am J Obstet Gynecol. 2012 Aug;207(2):125.e1-7
pubmed: 22704766
J Clin Med. 2022 Jun 19;11(12):
pubmed: 35743589
J Matern Fetal Neonatal Med. 2010 Jun;23(6):536-40
pubmed: 19895355
Am J Perinatol. 2013 Jun;30(6):491-7
pubmed: 23355275
J Matern Fetal Neonatal Med. 2016;29(14):2382-8
pubmed: 26427519
Sci Rep. 2023 Apr 26;13(1):6855
pubmed: 37100837
BJOG. 2016 Nov;123(12):2049-2050
pubmed: 27753253
Front Public Health. 2021 Jun 18;9:689115
pubmed: 34222185
Eur J Obstet Gynecol Reprod Biol X. 2023 May 16;18:100198
pubmed: 37234794
Arch Gynecol Obstet. 2017 Feb;295(2):343-349
pubmed: 27928676