Retrospective IVF Study of Vaginal and Seminal Microbiomes in 475 Hungarian Couples

475 couples undergoing IVF at the University of Szeged between January 2022 and December 2023 were analyzed for microbial cultures. Vaginal cultures were positive in 121 women (25.5%), with Candida albicans, Streptococcus agalactiae, and Escherichia coli being common, while 134 men (29%) had positive semen cultures dominated by Enterococcus faecalis and Escherichia coli. Machine learning models including SVM, RF, and XGBoost were applied to explore the predictive value of combined clinical and microbial features for IVF outcome.

Use Cases

• Predicting IVF clinical pregnancy outcomes based on combined maternal age and microbial features.
• Analyzing correlations between vaginal Lactobacillus colonization and pathogen presence.
• Training machine learning models (SVM, RF, XGBoost) on clinical and microbiological parameters.
• Investigating microbial concordance between partners in infertile couples.
• Evaluating antibiotic resistance status of pathogens in reproductive samples.

Strengths

• Includes data from 475 couples, providing a substantial cohort.
• Records results of microbiological cultures for both vaginal discharge and semen samples.
• Integrates machine learning analysis using SVM, RF, and XGBoost models.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single-center retrospective study, which may limit generalizability.

Provenance

Source

figshare, authored by Anna Vágvölgyi.

Collection Method

Retrospective, single-center cohort study.

Time Range

January 2022 to December 2023.

Freshness

Last updated 2026-04-29 05:57:58; freshness should be verified.

Geography

University of Szeged, Hungary.