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Спецвыпуск . 2024

Cervicometry is the only method for prediction and diagnosis of threatened preterm birth

Abstract

Lack of understanding of the pathogenesis of preterm birth leads to frequent overdiagnosis and polypharmacy: unnecessary hospitalizations, antenatal use of glucocorticosteroids, and prescription of tocolytics. The only barrier to unreasonable interventions is the thesis in the clinical guidelines about the inappropriateness of tocolytic therapy in the presence of normal cervical length indicators with transvaginal ultrasound cervicometry and a negative biochemical test. In routine practice, under the conditions of existing financing channels, this combination becomes unprofitable for the institution, and therefore unattractive. In addition, the accuracy of biochemical tests is not absolute. The current situation requires search for other diagnostic algorithms, less expensive, but no less informative than those prescribed by current clinical guidelines.

The aim of the study was to determine the predictive value of a negative result of transvaginal ultrasound cervicometry as a routine method for diagnosing threatened preterm labor.

Results. Transvaginal ultrasound cervicometry using a standard technique in the absence of uterine contractility showed high prognostic value.

Keywords:preterm birth; prediction; transvaginal ultrasound cervicometry; increased profitability

Funding. The study had no sponsor support.

Conflict of interest. The authors declare no conflict of interest.

Contribution. Writing the article, correcting the article, approving the final version for publication – Knyazev S.A., Fatkullina L.S.; data collection, statistical data processing, article writing, article correction – Andreeva A.D., Magomedbekova Z.A.

For citation: Knyazev S.A., Andreeva A.D., Magomedbekova Z.A., Fatkullina L.S. Cervicometry is the only method for prediction and diagnosis of threatened preterm birth. Akusherstvo i ginekologiya: novosti, mneniya, obuchenie [Obstetrics and Gynecology: News, Opinions, Training]. 2024; 12. Supplement: 25–9. DOI: https://doi.org/10.33029/2303-9698-2024-12-suppl-25-29 (in Russian)

REFERENCES

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4. Akhmetgaliev A.R., Fatkullin I.F., Munavirova A.A., Fatkullin F.I. Algorithm to identify the signs of threatened preterm labour. Kazanskiy meditsinskiy zhurnal [Kazan Medical Journal]. 2017; 98 (1): 132–6. (in Russian)

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CHIEF EDITORS
CHIEF EDITOR
Sukhikh Gennadii Tikhonovich
Academician of the Russian Academy of Medical Sciences, V.I. Kulakov Obstetrics, Gynecology and Perinatology National Medical Research Center of Ministry of Healthсаre of the Russian Federation, Moscow
CHIEF EDITOR
Kurtser Mark Arkadievich
Academician of the Russian Academy of Sciences, MD, Professor, Head of the Obstetrics and Gynecology Subdepartment of the Pediatric Department, N.I. Pirogov Russian National Scientific Research Medical University, Ministry of Health of the Russian Federation
CHIEF EDITOR
Radzinsky Viktor Evseevich
Corresponding Member of the Russian Academy of Sciences, MD, Professor, Head of the Subdepartment of Obstetrics and Gynecology with a Course of Perinatology of the Medical Department in the Russian People?s Friendship University

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