2023 / 02

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DOI: 10.24075/brsmu.2023.015

ORIGINAL RESEARCH

Predicting the blastocyst development rate during assisted reproductive technologies based on semen microbiota

Panacheva EA2, Kudryavtseva EV1, Zornikov DL1, Plotko EE2, Petrov VM1, Voroshilina ES1,2
About authors

1 Ural State Medical University of the Ministry of Health of Russian Federation, Yekaterinburg, Russia

2 Medical Center “Garmonia”, Yekaterinburg, Russia

Correspondence should be addressed: Еkaterina S. Voroshilina
Tveritina, 16, Yekaterinburg, 620100, Russia; moc.liamg@anilihsorov

About paper

Acknowledgments: the authors would like to thank VN Khayutin, director of "Garmonia" Medical Center, for allowing them to conduct the study in the clinic's laboratory department.

Author contribution: Panacheva EA — organization of the study, data analysis, conducting PCR tests, article authoring, Kudryavtseva EV, Zornikov DL — statistical processing, data analysis, article authoring; Plotko EE, Petrov VM —data analysis, article authoring; Voroshilina ES — organization of the study, conducting PCR tests, data analysis, article authoring.

Compliance with ethical standards: the study was approved by the Ethics Committee of Ural State Medical University, Federal State Budget Educational Institution of Higher Education under the Ministry of Health of the Russian Federation (Protocol № 7 of September 20, 2019). All patients signed the informed written consent to participation in the study.

Received: 2023-03-23 Accepted: 2023-04-14 Published online: 2023-04-26
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Fig. 1. The EGO-Pro-N index values in groups 1 and 2
Fig. 2. ROC curve for the EGO-Pro-N index
Table 1. The detection rate of specific groups of microorganisms quantities exceeding the threshold value*
Note: * — for U. urealyticum, U. parvum, M. hominis groups, threshold values are > 0, for other groups of microorganisms ≥ 103 GE/ml.
Table 2. The average quantities of Haemophilus spp. and GNFA in groups 1 and 2 and the accuracy of these indicators in predicting a favorable outcome of the ART embryological stage
Table 3. Sensitivity and specificity of the EGO-Pro-N index (classification matrix)