Vavilova Anastasia Olegovna (postgraduate student of FGAOU VO «Belgorod state national research university»;
obstetrician – gynecologist GBUZ KO «Kaluga Regional Clinical Hospital hospital»
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Volkov Valery Georgievich ( Doctor of Medical Sciences, Professor of FGAOU VO «Belgorod state national research university»)
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The aim of the study is to identify independent predictors of early preterm birth (≤ 34 weeks) in nulliparous women and to develop a predictive model. Materials and methods: a prospective analysis of data from 98 nulliparous women in the period 2022–2024. Multivariate logistic regression was performed to estimate the odds ratio (OR) and 95% confidence interval (CI), and ROC analysis was conducted. Results: independent predictors of preterm birth ≤ 34 weeks are: a history of spontaneous miscarriage (OR=12.4, p=0.001), a threat of termination of the current pregnancy (OR=8.2, p=0.002), myopia (OR=6.1, p=0.028), and cervical shortening (OR=0.83 per 1 mm, p=0.029), with an AUC of 0.86. Conclusions: a combination of anamnestic and ultrasound data allows for a highly accurate prediction of the risk of early preterm birth in nulliparous women.
Keywords:preterm birth, nulliparous women, prediction, threatened pregnancy loss, cervical length, miscarriage, logistic regression
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Read the full article …
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Citation link:
Vavilova A. O., Volkov V. G. PREDICTING EARLY PRETERM BIRTH IN NULLIPAROUS WOMEN: AN ANALYSIS OF RISK FACTORS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№12. -С. 210-213 DOI 10.37882/2223-2966.2025.12.07 |
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