Literature DB >> 22568406

A clinical prediction model to assess the risk of operative delivery.

E Schuit1, A Kwee, M E M H Westerhuis, H J H M Van Dessel, G C M Graziosi, J M M Van Lith, J G Nijhuis, S G Oei, H P Oosterbaan, N W E Schuitemaker, M G A J Wouters, G H A Visser, B W J Mol, K G M Moons, R H H Groenwold.   

Abstract

OBJECTIVE: To predict instrumental vaginal delivery or caesarean section for suspected fetal distress or failure to progress.
DESIGN: Secondary analysis of a randomised trial.
SETTING: Three academic and six non-academic teaching hospitals in the Netherlands. POPULATION: 5667 labouring women with a singleton term pregnancy in cephalic presentation.
METHODS: We developed multinomial prediction models to assess the risk of operative delivery using both antepartum (model 1) and antepartum plus intrapartum characteristics (model 2). The models were validated by bootstrapping techniques and adjusted for overfitting. Predictive performance was assessed by calibration and discrimination (area under the receiver operating characteristic), and easy-to-use nomograms were developed. MAIN OUTCOME MEASURES: Incidence of instrumental vaginal delivery or caesarean section for fetal distress or failure to progress with respect to a spontaneous vaginal delivery (reference).
RESULTS: 375 (6.6%) and 212 (3.6%) women had an instrumental vaginal delivery or caesarean section due to fetal distress, and 433 (7.6%) and 571 (10.1%) due to failure to progress, respectively. Predictors were age, parity, previous caesarean section, diabetes, gestational age, gender, estimated birthweight (model 1) and induction of labour, oxytocin augmentation, intrapartum fever, prolonged rupture of membranes, meconium stained amniotic fluid, epidural anaesthesia, and use of ST-analysis (model 2). Both models showed excellent calibration and the receiver operating characteristics areas were 0.70-0.78 and 0.73-0.81, respectively.
CONCLUSION: In Dutch women with a singleton term pregnancy in cephalic presentation, antepartum and intrapartum characteristics can assist in the prediction of the need for an instrumental vaginal delivery or caesarean section for fetal distress or failure to progress.
© 2012 The Authors BJOG An International Journal of Obstetrics and Gynaecology © 2012 RCOG.

Entities:  

Mesh:

Year:  2012        PMID: 22568406     DOI: 10.1111/j.1471-0528.2012.03334.x

Source DB:  PubMed          Journal:  BJOG        ISSN: 1470-0328            Impact factor:   6.531


  19 in total

1.  Impact of Anesthetic Predictors on Postpartum Hospital Length of Stay and Adverse Events Following Cesarean Delivery: A Retrospective Study in 840 Consecutive Parturients.

Authors:  Ting Ting Oh; Colleen G Martel; Allison G Clark; Melissa B Russo; Bobby D Nossaman
Journal:  Ochsner J       Date:  2015

2.  Factors influencing the likelihood of instrumental delivery success.

Authors:  Catherine E Aiken; Abigail R Aiken; Jeremy C Brockelsby; James G Scott
Journal:  Obstet Gynecol       Date:  2014-04       Impact factor: 7.661

3.  How to interpret a small increase in AUC with an additional risk prediction marker: decision analysis comes through.

Authors:  Stuart G Baker; Ewoud Schuit; Ewout W Steyerberg; Michael J Pencina; Andrew Vickers; Andew Vickers; Karel G M Moons; Ben W J Mol; Karen S Lindeman
Journal:  Stat Med       Date:  2014-05-13       Impact factor: 2.373

4.  Increased maternal TSH and decreased maternal FT4 are associated with a higher operative delivery rate in low-risk pregnancies: A prospective cohort study.

Authors:  L Monen; V J Pop; T H Hasaart; H Wijnen; S G Oei; S M Kuppens
Journal:  BMC Pregnancy Childbirth       Date:  2015-10-16       Impact factor: 3.007

5.  Antenatal depressive symptoms and the risk of preeclampsia or operative deliveries: a meta-analysis.

Authors:  Rong Hu; Yingxue Li; Zhixia Zhang; Weirong Yan
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

6.  Effects of induction of labour versus expectant management in women with impending post-term pregnancies: the 41 week - 42 week dilemma.

Authors:  Joep C Kortekaas; Aafke Bruinsma; Judit K J Keulen; Jeroen van Dillen; Martijn A Oudijk; Joost J Zwart; Jannet J H Bakker; Dokie de Bont; Marianne Nieuwenhuijze; Pien M Offerhaus; Anton H van Kaam; Frank Vandenbussche; Ben Willem J Mol; Esteriek de Miranda
Journal:  BMC Pregnancy Childbirth       Date:  2014-10-23       Impact factor: 3.007

7.  A Scoring Tool to Identify East African HIV-1 Serodiscordant Partnerships with a High Likelihood of Pregnancy.

Authors:  Renee Heffron; Craig R Cohen; Kenneth Ngure; Elizabeth Bukusi; Edwin Were; James Kiarie; Nelly Mugo; Connie Celum; Jared M Baeten
Journal:  PLoS One       Date:  2015-12-31       Impact factor: 3.240

8.  Customized Probability of Vaginal Delivery With Induction of Labor and Expectant Management in Nulliparous Women at 39 Weeks of Gestation.

Authors:  Robert M Silver; Madeline Murguia Rice; William A Grobman; Uma M Reddy; Alan T N Tita; Gail Mallett; Kim Hill; Elizabeth A Thom; Yasser Y El-Sayed; Ronald J Wapner; Dwight J Rouse; George R Saade; John M Thorp; Suneet P Chauhan; Edward K Chien; Brian M Casey; Ronald S Gibbs; Sindhu K Srinivas; Geeta K Swamy; Hyagriv N Simhan; George A Macones
Journal:  Obstet Gynecol       Date:  2020-10       Impact factor: 7.623

9.  The association between attendance of midwives and workload of midwives with the mode of birth: secondary analyses in the German healthcare system.

Authors:  Nina Knape; Herbert Mayer; Wilfried Schnepp; Friederike zu Sayn-Wittgenstein
Journal:  BMC Pregnancy Childbirth       Date:  2014-09-02       Impact factor: 3.007

10.  Comparison of childbirth care models in public hospitals, Brazil.

Authors:  Sibylle Emilie Vogt; Kátia Silveira da Silva; Marcos Augusto Bastos Dias
Journal:  Rev Saude Publica       Date:  2014-04       Impact factor: 2.106

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.