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Predicting singleton antepartum stillbirth by the demographic Fetal Medicine Foundation Risk Calculator—A retrospective case-control study
Author(s) -
Dana Muin,
Karin Windsperger,
Nadia Attia,
Herbert Kiss
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0260964
Subject(s) - medicine , retrospective cohort study , receiver operating characteristic , obstetrics , cohort
Objective To assess the risk of singleton intrauterine fetal death (IUFD) in women by the demographic setting of the online Fetal Medicine Foundation ( FMF ) Stillbirth Risk Calculator. Methods Retrospective single-centre case-control study involving 144 women having suffered IUFD and 247 women after delivery of a live-born singleton. Nonparametric receiver operating characteristics (ROC) analyses were performed to predict the prognostic power of the FMF Stillbirth risk score and to generate a cut-off value to discriminate best between the event of IUFD versus live birth. Results Women in the IUFD cohort born a significantly higher overall risk with a median FMF risk score of 0.45% (IQR 0.23–0.99) compared to controls [0.23% (IQR 0.21–0.29); p <0.001]. Demographic factors contributing to an increased risk of IUFD in our cohort were maternal obesity ( p = 0.002), smoking ( p <0.001), chronic hypertension ( p = 0.015), antiphospholipid syndrome ( p = 0.017), type 2 diabetes ( p <0.001), and insulin requirement ( p <0.001). ROC analyses showed an area under the curve (AUC) of 0.72 (95% CI 0.67–0.78; p <0.001) for predicting overall IUFD and an AUC of 0.72 (95% CI 0.64–0.80; p <0.001), respectively, for predicting IUFD excluding congenital malformations. The FMF risk score at a cut-off of 0.34% (OR 6.22; 95% CI 3.91–9.89; p <0.001) yielded an 82% specificity and 58% sensitivity in predicting IUFD with a positive and negative predictive value of 0.94% and 99.84%, respectively. Conclusion The FMF Stillbirth Risk Calculator based upon maternal demographic and obstetric characteristics only may help identify women at low risk of antepartum stillbirth.

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