Predictive Factors Involved in Postpartum Regressions of Cytological/Histological Cervical High-Grade Dysplasia Diagnosed during Pregnancy.

Details

Ressource 1Request a copy Under indefinite embargo.
UNIL restricted access
State: Public
Version: author
License: CC BY 4.0
Serval ID
serval:BIB_249DC2D5E754
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Predictive Factors Involved in Postpartum Regressions of Cytological/Histological Cervical High-Grade Dysplasia Diagnosed during Pregnancy.
Journal
Journal of clinical medicine
Author(s)
Gomez Y., Balaya V., Lepigeon K., Mathevet P., Jacot-Guillarmod M.
ISSN
2077-0383 (Print)
ISSN-L
2077-0383
Publication state
Published
Issued date
15/11/2021
Peer-reviewed
Oui
Volume
10
Number
22
Pages
5319
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
The aim of this study was to describe the evolution of high-grade cervical dysplasia during pregnancy and the postpartum period and to determine factors associated with dysplasia regression.
Pregnant patients diagnosed with high-grade lesions were identified in our tertiary hospital center. High-grade lesions were defined either cytologically, by high squamous intraepithelial lesion/atypical squamous cells being unable to exclude HSIL (HSIL/ASC-H), or histologically, with cervical intraepithelial neoplasia (CIN) 2+ (all CIN 2 and CIN 3) during pregnancy. Postpartum regression was defined cytologically or histologically by at least a one-degree reduction in severity from the antepartum diagnosis. A logistic regression model was applied to determine independent predictive factors for high-grade cervical dysplasia regression after delivery.
Between January 2000 and October 2017, 79 patients fulfilled the inclusion criteria and were analyzed. High-grade cervical lesions were diagnosed by cytology in 87% of cases (69/79) and confirmed by histology in 45% of those (31/69). The overall regression rate in our cohort was 43% (34/79). Univariate analysis revealed that parity (p = 0.04), diabetes (p = 0.04) and third trimester cytology (p = 0.009) were associated with dysplasia regression. Nulliparity (OR = 4.35; 95%CI = (1.03-18.42); p= 0.046) was identified by multivariate analysis as an independent predictive factor of high-grade dysplasia regression. The presence of HSIL on third-trimester cervical cytology (OR = 0.17; 95%CI = (0.04-0.72); p = 0.016) was identified as an independent predictive factor of high-grade dysplasia persistence at postpartum.
Our regression rate was high, at 43%, for high-grade cervical lesions postpartum. Parity status may have an impact on dysplasia regression during pregnancy. A cervical cytology should be performed at the third trimester to identify patients at risk of CIN persistence after delivery. However, larger cohorts are required to confirm these results.
Keywords
ASC-H, CIN, HSIL, cervical cancer, cervical intraepithelial neoplasia, high-grade dysplasia, pregnancy
Pubmed
Web of science
Open Access
Yes
Create date
29/11/2021 10:57
Last modification date
03/08/2022 5:38
Usage data