{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T17:10:19Z","timestamp":1789233019197,"version":"build-2803163510"},"reference-count":38,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2012,5,9]],"date-time":"2012-05-09T00:00:00Z","timestamp":1336521600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJOG"],"published-print":{"date-parts":[[2012,7]]},"abstract":"<jats:p>\n                    <jats:italic>Please cite this paper as:<\/jats:italic>\n                    Schuit E, Kwee A, Westerhuis M, Van Dessel H, Graziosi G, Van Lith J, Nijhuis J, Oei S, Oosterbaan H, Schuitemaker N, Wouters M, Visser G, Mol B, Moons K, Groenwold R. A clinical prediction model to assess the risk of operative delivery. BJOG 2012;119:915\u2013923.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Objective\u2002<\/jats:bold>\n                    To predict instrumental vaginal delivery or caesarean section for suspected fetal distress or failure to progress.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Design\u2002<\/jats:bold>\n                    Secondary analysis of a randomised trial.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Setting\u2002<\/jats:bold>\n                    Three academic and six non\u2010academic teaching hospitals in the Netherlands.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Population\u2002<\/jats:bold>\n                    5667 labouring women with a singleton term pregnancy in cephalic presentation.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Methods\u2002<\/jats:bold>\n                    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\u2010to\u2010use nomograms were developed.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Main outcome measures\u2002<\/jats:bold>\n                    Incidence of instrumental vaginal delivery or caesarean section for fetal distress or failure to progress with respect to a spontaneous vaginal delivery (reference).\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Results\u2002<\/jats:bold>\n                    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\u2010analysis (model 2). Both models showed excellent calibration and the receiver operating characteristics areas were 0.70\u20130.78 and 0.73\u20130.81, respectively.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Conclusion\u2002<\/jats:bold>\n                    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.\n                  <\/jats:p>","DOI":"10.1111\/j.1471-0528.2012.03334.x","type":"journal-article","created":{"date-parts":[[2012,5,9]],"date-time":"2012-05-09T06:18:49Z","timestamp":1336544329000},"page":"915-923","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["A clinical prediction model to assess the risk of operative 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