E. Voroshilina, L. Khayutin, E. Kudryavtseva, VV Kovalev, EE Plotko
{"title":"Predicting preterm birth based on vaginal microbiota assessment by real-time PCR in the first trimester","authors":"E. Voroshilina, L. Khayutin, E. Kudryavtseva, VV Kovalev, EE Plotko","doi":"10.24075/brsmu.2022.032","DOIUrl":null,"url":null,"abstract":"Detecting high risk of preterm birth (PB) early makes its prevention possible. The aim of the work was to develop a mathematical predictive model for assessing the risk of preterm birth based on a quantitative analysis of the vaginal microbiota in the first trimester of pregnancy. The study included 199 pregnant women, i.e. 41 pregnancies that ended in preterm birth, and 158 — in term birth. Vaginal microbiota was analyzed in all patients in the 1st trimester of pregnancy by quantitative real-time PCR (qPCR). The method of dicriminant analysis was used to develop a predictive model. A method for predicting PB was developed with the calculation of the PRIMA prognostic index (Premature Birth. Index Of Microbiological Analysis). If the value of PRIMA > 0 – the risk of premature birth is low, if PRIMA < 0 – the risk is high. The sensitivity and specificity of the method are respectively 70.7% and 79.75%, the effectiveness is 77.89%. Evaluation of vaginal microbiota in the 1st trimester makes it possible to identify a high-risk group of PB and perform timely preventive measures.","PeriodicalId":9344,"journal":{"name":"Bulletin of Russian State Medical University","volume":" ","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Russian State Medical University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24075/brsmu.2022.032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Detecting high risk of preterm birth (PB) early makes its prevention possible. The aim of the work was to develop a mathematical predictive model for assessing the risk of preterm birth based on a quantitative analysis of the vaginal microbiota in the first trimester of pregnancy. The study included 199 pregnant women, i.e. 41 pregnancies that ended in preterm birth, and 158 — in term birth. Vaginal microbiota was analyzed in all patients in the 1st trimester of pregnancy by quantitative real-time PCR (qPCR). The method of dicriminant analysis was used to develop a predictive model. A method for predicting PB was developed with the calculation of the PRIMA prognostic index (Premature Birth. Index Of Microbiological Analysis). If the value of PRIMA > 0 – the risk of premature birth is low, if PRIMA < 0 – the risk is high. The sensitivity and specificity of the method are respectively 70.7% and 79.75%, the effectiveness is 77.89%. Evaluation of vaginal microbiota in the 1st trimester makes it possible to identify a high-risk group of PB and perform timely preventive measures.
期刊介绍:
Bulletin of Russian State Medical University (Bulletin of RSMU, ISSN Print 2500–1094, ISSN Online 2542–1204) is a peer-reviewed medical journal of Pirogov Russian National Research Medical University (Moscow, Russia). The original language of the journal is Russian (Vestnik Rossiyskogo Gosudarstvennogo Meditsinskogo Universiteta, Vestnik RGMU, ISSN Print 2070–7320, ISSN Online 2070–7339). Founded in 1994, it is issued once every two months publishing articles on clinical medicine and medical and biological sciences, first of all oncology, neurobiology, allergy and immunology, medical genetics, medical microbiology and infectious diseases. Every issue is thematic. Deadlines for manuscript submission are announced in advance. The number of publications on topics in spite of the issue topic is limited. The journal accepts only original articles submitted by their authors, including articles that present methods and techniques, clinical cases and opinions. Authors must guarantee that their work has not been previously published elsewhere in whole or in part and in other languages and is not under consideration by another scientific journal. The journal publishes only one review per issue; the review is ordered by the editors.