Multifactor regression analysis in the forecast of the development of cervical lesions having infectious genesis
Goal. To allocate using a binary logistic regression molecular biological and immunological laboratory parameters to determine the risk of progression of HPV-associated cervical lesions. Methods. According to the aim of the study was used the statistical method binary logistic regression. For the study under observation was taken of a woman with pathological, non-inflammatory processes of the cervix caused by HPV infection. Results. It was found that a high prognostic significance for the development of squamous intraepithelial lesions of low and high degrees have laboratory indicators of protein P16, E7 and transforming growth factor β, which gives the possibility to predict cervical squamous intraepithelial lesions, which indicates the relevance of laboratory tests in the assessment of HPV-associated cervical disease.