Balance del contenido vaginal para detección de patologías asociadas en mujeres en edad fértil
DOI:
https://doi.org/10.30972/eitt.917690Keywords:
Vaginal microbiota, Gynecological health, Differential diagnosis, Yeast infection, Candida albicans, Practical training in biochemistryAbstract
The vaginal microbiota, composed mainly of Lactobacillus spp., plays a crucial role in female genital health. Disruption of this balance can lead to various pathologies, such as bacterial vaginosis (BV) and nonspecific microbial vaginitis (IMV). This work was carried out in collaboration with the "José Manuel Estrada" Teacher Training Institute and the UNNE Faculty of Biochemistry, involving students in the collection and analysis of vaginal samples. The BACOVA method allowed the samples to be classified into five Basic Vaginal States (BSVs), providing an accurate differential diagnosis of vaginal dysfunctions. Of the 14 samples analyzed, 86% presented some degree of vaginal dysfunction, highlighting the prevalence of normal microbiota with an inflammatory reaction (EVB II). In addition, cases of yeast infection, predominantly Candida albicans, and urogenital mycoplasmas were identified, especially in advanced stages of vaginal dysfunction. The results underline the effectiveness of the BACOVA method in the early identification of vaginal pathologies, its applicability in primary care contexts and its potential to optimize gynecological and reproductive health. This project not only provided valuable data for public health, but also promoted the integration of teaching with community work, reinforcing the practical training and social commitment of Biochemistry students.
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References
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