For patients who only underwent colposcopic evaluation (15/79), 13 histological samples were taken, 8 (62%) of which confirmed a HSIL lesion. In the 34 cytological specimens showing an LSIL/ASCUS/normal lesion, only 20 (59%) histological specimens were collected, of which 10 (50%) confirmed a high-grade lesion. Of the 27 patients whose postpartum cytology revealed an HSIL, 18 (66.7%) histological samples confirmed a high-grade lesion (either by directed biopsy or conization result) and 6 (22%) samples did not. These three cases underwent a LEEP procedure immediately postpartum due to CIN2+ extensive antenatal lesions, which was confirmed by the pathology. However, larger cohorts are required to confirm these results.Īt postpartum colposcopic follow up, all patients underwent colposcopy with cytology/histology except for three. A cervical cytology should be performed at the third trimester to identify patients at risk of CIN persistence after delivery. Parity status may have an impact on dysplasia regression during pregnancy. Conclusion: Our regression rate was high, at 43%, for high-grade cervical lesions postpartum. 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. 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. Univariate analysis revealed that parity ( p = 0.04), diabetes ( p = 0.04) and third trimester cytology ( p = 0.009) were associated with dysplasia regression. The overall regression rate in our cohort was 43% (34/79). High-grade cervical lesions were diagnosed by cytology in 87% of cases (69/79) and confirmed by histology in 45% of those (31/69). Results: Between January 2000 and October 2017, 79 patients fulfilled the inclusion criteria and were analyzed. A logistic regression model was applied to determine independent predictive factors for high-grade cervical dysplasia regression after delivery. Postpartum regression was defined cytologically or histologically by at least a one-degree reduction in severity from the antepartum diagnosis. 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. Methods: Pregnant patients diagnosed with high-grade lesions were identified in our tertiary hospital center. A Mac version is also available on the XLSTAT website.Objective: 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. The XLSTAT statistical analysis software is compatible with all Excel versions from 2003 to 2016. Optional modules include 3D Visualization and Latent Class models. Field-specific solutions allow for advanced multivariate analysis (RDA, CCA, MFA), Preference Mapping and other sensometrics tools, Statistical Process Control, Simulations, Time series analysis, Dose response effects, Survival models, Conjoint analysis, PLS modelling, Structural Equation Modelling, OMICS data analysis. It includes regression (linear, logistic, nonlinear), multivariate data analysis (Principal Component Analysis, Discriminant Analysis, Correspondence Analysis, Multidimensional Scaling, Agglomerative Hierarchical Clustering, K-means, K-Nearest Neighbors, Decision trees), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA, mixed models and much more. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data analysis package. XLSTAT includes more than 240 features in general or field-specific solutions. XLSTAT is a complete analysis and statistics add-in for Excel.
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