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Age-specific predictors of cervical dysplasia recurrence after primary conization: analysis of 3,212 women
OBJECTIVE: This study aimed to identify predictors of recurrence/persistence of cervical intraepithelial neoplasia grade 2+ (CIN2+) lesion (r-CIN2+) after primary conization. METHODS: Retrospective analysis involving all consecutive women having conization for CIN2+ between 1998 and 2018. The risk o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440983/ https://www.ncbi.nlm.nih.gov/pubmed/32808492 http://dx.doi.org/10.3802/jgo.2020.31.e60 |
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author | Bogani, Giorgio Pinelli, Ciro Chiappa, Valentina Martinelli, Fabio Lopez, Salvatore Ditto, Antonino Raspagliesi, Francesco |
author_facet | Bogani, Giorgio Pinelli, Ciro Chiappa, Valentina Martinelli, Fabio Lopez, Salvatore Ditto, Antonino Raspagliesi, Francesco |
author_sort | Bogani, Giorgio |
collection | PubMed |
description | OBJECTIVE: This study aimed to identify predictors of recurrence/persistence of cervical intraepithelial neoplasia grade 2+ (CIN2+) lesion (r-CIN2+) after primary conization. METHODS: Retrospective analysis involving all consecutive women having conization for CIN2+ between 1998 and 2018. The risk of r-CIN2+ was assessed using Kaplan-Meier and Cox models. RESULTS: Data of 3,212 women were retrospectively identified. After a mean follow-up of 47 (±22.2) months, 112 (3.5%) patients developed r-CIN2+. Mean time interval between prior conization and diagnosis of r-CIN2+ was 26.2 (±13.2) months. Via multivariate analysis, presence of high-risk human papillomavirus (HPV) types at the time of CIN2+ diagnosis, hazard ratio (HR)=3.40 (95% confidence interval [CI]=1.66–6.95) for HPV16/18 and HR=2.59 (95% CI=1.21–5.55) for HPV types other than 16/18, positive margins at primary conization, HR=4.11 (95% CI=2.04–8.26) and HPV persistence after conization, HR=16.69 (95% CI=8.20–33.9), correlated with r-CIN2+, independently. Considering age-specific HPV types distribution, we observed that HPV16/18 infection correlated to an increased risk of r-CIN2+ only in young women (aged ≤25 years; p=0.031, log-rank test); while in the older population (>25 years) HPV type(s) involved had not impact on r-CIN2+ risk (p>0.200, log-rank test). CONCLUSION: HPV persistence is the main factor predicting r-CIN2+. Infection from HPV16/18 has a detrimental effect in young women, thus highlighting the need of implementing vaccination against HPV in this population. Further prospective studies are warranted for tailoring clinical decision-making for post-conization follow-up on the basis of risk factors. |
format | Online Article Text |
id | pubmed-7440983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology |
record_format | MEDLINE/PubMed |
spelling | pubmed-74409832020-09-01 Age-specific predictors of cervical dysplasia recurrence after primary conization: analysis of 3,212 women Bogani, Giorgio Pinelli, Ciro Chiappa, Valentina Martinelli, Fabio Lopez, Salvatore Ditto, Antonino Raspagliesi, Francesco J Gynecol Oncol Original Article OBJECTIVE: This study aimed to identify predictors of recurrence/persistence of cervical intraepithelial neoplasia grade 2+ (CIN2+) lesion (r-CIN2+) after primary conization. METHODS: Retrospective analysis involving all consecutive women having conization for CIN2+ between 1998 and 2018. The risk of r-CIN2+ was assessed using Kaplan-Meier and Cox models. RESULTS: Data of 3,212 women were retrospectively identified. After a mean follow-up of 47 (±22.2) months, 112 (3.5%) patients developed r-CIN2+. Mean time interval between prior conization and diagnosis of r-CIN2+ was 26.2 (±13.2) months. Via multivariate analysis, presence of high-risk human papillomavirus (HPV) types at the time of CIN2+ diagnosis, hazard ratio (HR)=3.40 (95% confidence interval [CI]=1.66–6.95) for HPV16/18 and HR=2.59 (95% CI=1.21–5.55) for HPV types other than 16/18, positive margins at primary conization, HR=4.11 (95% CI=2.04–8.26) and HPV persistence after conization, HR=16.69 (95% CI=8.20–33.9), correlated with r-CIN2+, independently. Considering age-specific HPV types distribution, we observed that HPV16/18 infection correlated to an increased risk of r-CIN2+ only in young women (aged ≤25 years; p=0.031, log-rank test); while in the older population (>25 years) HPV type(s) involved had not impact on r-CIN2+ risk (p>0.200, log-rank test). CONCLUSION: HPV persistence is the main factor predicting r-CIN2+. Infection from HPV16/18 has a detrimental effect in young women, thus highlighting the need of implementing vaccination against HPV in this population. Further prospective studies are warranted for tailoring clinical decision-making for post-conization follow-up on the basis of risk factors. Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology 2020-04-17 /pmc/articles/PMC7440983/ /pubmed/32808492 http://dx.doi.org/10.3802/jgo.2020.31.e60 Text en Copyright © 2020. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Bogani, Giorgio Pinelli, Ciro Chiappa, Valentina Martinelli, Fabio Lopez, Salvatore Ditto, Antonino Raspagliesi, Francesco Age-specific predictors of cervical dysplasia recurrence after primary conization: analysis of 3,212 women |
title | Age-specific predictors of cervical dysplasia recurrence after primary conization: analysis of 3,212 women |
title_full | Age-specific predictors of cervical dysplasia recurrence after primary conization: analysis of 3,212 women |
title_fullStr | Age-specific predictors of cervical dysplasia recurrence after primary conization: analysis of 3,212 women |
title_full_unstemmed | Age-specific predictors of cervical dysplasia recurrence after primary conization: analysis of 3,212 women |
title_short | Age-specific predictors of cervical dysplasia recurrence after primary conization: analysis of 3,212 women |
title_sort | age-specific predictors of cervical dysplasia recurrence after primary conization: analysis of 3,212 women |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440983/ https://www.ncbi.nlm.nih.gov/pubmed/32808492 http://dx.doi.org/10.3802/jgo.2020.31.e60 |
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