Startseite A novel technique for prediction of preterm birth: fetal nasal flow Doppler
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A novel technique for prediction of preterm birth: fetal nasal flow Doppler

  • Sertac Esin EMAIL logo , Erhan Okuyan , Emre Gunakan ORCID logo , Hatice Yagmur Zengin , Mutlu Hayran und Yusuf Aytac Tohma ORCID logo
Veröffentlicht/Copyright: 13. November 2020

Abstract

Objectives

Absence of fetal breathing movements (FBM) has been found to be a good predictor of preterm delivery in symptomatic patients. However, analysis of FBM patterns and Doppler measurement of them for preterm birth prediction have not been performed before. In this study, we aimed to investigate and analyze FBM patterns in symptomatic preterm labor patients by fetal ultrasonography and nasal Doppler.

Methods

This was a multicenter, prospective cohort study. Singleton pregnant patients between 24 and 37 gestational weeks diagnosed with preterm labor were included in the study. Patients were evaluated in three groups: no FBM (Group 1), regular FBM (Group 2), irregular FBM (Group3).

Results

Seventy-three patients were available for the final analysis after exclusion. Preterm delivery rate in 24 h in groups were 91.7, 32.7 and 100%, respectively. The absence of FBM (Group 1) was statistically significant for preterm delivery in for both 24 (91.7 vs. 42.6%, p=0.002) and 48 h (91.7 vs. 49.2%, p=0.006) when compared with fetal breathing positive Group 2 and 3. In fetal nasal Doppler analyses in Group 2, the inspiration/expiration number rate was significantly lower in the patients who delivered in 24 h (0.98±0.2 vs. 1.25±0.57, p=0.015). By using fetal nasal Doppler, combination of absence of FBM or irregular FBM or regular FBM with inspiration number/expiration number (I/E) <1.25 detects 94.6% of patients who will eventually deliver in the first 24 h after admission.

Conclusions

Examining FBM patterns and using nasal Doppler may help the clinician to differentiate those who will deliver preterm and may be an invaluable tool for managing preterm labor patients.


Corresponding author: Sertac Esin, MD, Department of Perinatology, Baskent University School of Medicine, Ankara, Turkey, Phone: +905323868537, E-mail:

  1. Research funding: The present study was supported by the Baskent University Research Fund (project no. KA17/146). ClinicalTrials.gov Identifier: NCT03655379.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: The study was approved by the Baskent University Institutional Review Board and Ethics Committee (Project no KA17/146). The trial was also registered in www.clinicaltrials.gov (ClinicalTrials.gov Identifier: NCT03655379). We have complied with the World Association Declaration of Helsinki regarding ethical conduct of research involving human subjects.

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Received: 2020-06-17
Accepted: 2020-10-18
Published Online: 2020-11-13
Published in Print: 2021-03-26

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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Heruntergeladen am 12.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/jpm-2020-0276/html
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