Analysis of patient-dependent predictors of residual lesion after cervical conization

Authors

DOI:

https://doi.org/10.56294/dm202348

Keywords:

conization, epithelial lesions, residual disease, analysis of risk factors

Abstract

Introduction: in the care of women with precursor lesions of cervical cancer, preventing possible progression to invasive cancer without over-treating the high chances of regression is extremely important. Over time, different treatments and protocols have been tested in order to obtain the best results in the control of this condition with conservative techniques.
Objective: to identify predictors of residual disease depending on the intrinsic characteristics of the patients with conization, due to high-grade epithelial lesions or with microinvasion.
Methods: A prospective descriptive study was conducted to determine the relationship between the diagnosis of residual disease and clinical- epidemiological variables dependent on the patient, in 1090 patients with high-grade cervical epithelial lesions who were treated at the "Héroes del Baire" General Teaching Hospital on the Isle of Youth (Cuba) during the period 2014-2019.
Result: a linear trend of the association of age and residual disease was observed, as well as an association with glandular disease, histological severity and infection by oncogenic serotypes of the human papillomavirus. HPV infection (OR=11.3), history of previous lesion (OR=9.8), persistence of viral infection (OR=4.9) and glandular involvement (OR=3.1) were the factors that showed the greatest association with residual disease.
Conclusion: the severity and size of the lesion, the glandular extension and the persistent infection by the human papilloma virus were the predictive factors that contribute to the existence of residual lesion.

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Published

2023-06-02

How to Cite

1.
Dávila Gómez HL, Lorie Sierra LE, Díaz-Perera Fernández G, Bacallao Gallestey J, Regalado Rodríguez E. Analysis of patient-dependent predictors of residual lesion after cervical conization. Data and Metadata [Internet]. 2023 Jun. 2 [cited 2023 Dec. 3];2:48. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/48