The impact of COVID-19 pandemic on women with endometriosis: a retrospective cohort study on referral center population.

BACKGROUND: Patients with endometriosis are thought to have been impacted by the COVID-19 pandemic and estimates suggest that 6.2% of them were infected with SARS-CoV-2. METHODS: This is a retrospective cohort study enrolling 284 women at the Polyclinic of Modena between January 2020 and April 2021. Patients were given specific questionnaires to investigate COVID-19 infection and any changes in gynecological symptoms. All patients were also administered the Hospital Anxiety and Depression Syndrome (HADS) Questionnaire to assess the psychological impact of the COVID-19 pandemic. The primary outcome was to assess the clinical impact and any worsening of gynecological symptoms after COVID-19 infection; the secondary outcome was to evaluate the clinical and psychological impact of the COVID-19 pandemic in patients with endometriosis or chronic pelvic pain. RESULTS: A total of 170 women experienced COVID-19 infection, while 114 were consistently negative and asymptomatic for COVID-19. The two groups showed similar baseline. A total of 122 women with COVID-19 infection and 106 COVID-19 negative patients had already the vaccine administration with two doses of vaccine (72.20% vs. 93%, P=0.001). Among the 170 patients affected by COVID-19, 41 (24%) reported worsening gynecologic endometriosis symptoms, during the infection. According to our results, 196 of 284 reported changes in their gynecological health status during pandemic, and 84 reported symptomatic worsening (42.9%); 24% of patients with infection reported feeling slowed down vs. 15.8% of unaffected patients (P=0.065) and 44% of positive patients reported loss of interest in self-care vs. 31% of negative patients (P=0.055). CONCLUSIONS: Patients with endometriosis seemed to have worsening gynecological and psychological clinical status during the pandemic.

Endometriosis-associated ovarian cancer: a different clinical entity.

OBJECTIVE: To compare survival outcomes and patterns of recurrence between endometriosis-associated ovarian cancer patients and non-endometriosis-associated ovarian cancer patients. METHODS: This retrospective study included data of consecutive patients with endometrioid or clear cell ovarian cancer treated at the Fondazione IRCCS Istituto Nazionale dei Tumori di Milano between January 2010 and June 2021. Patients were assigned to one of two groups according to the absence or presence of endometriosis together with ovarian cancer at final histological examination. Survival outcomes were assessed using Kaplan-Meier and Cox hazard models. Proportions in recurrence rate and pattern of recurrence were evaluated using the Fisher exact test. RESULTS: Overall, 83 women were included in the endometriosis-associated ovarian cancer group and 144 in the non-endometriosis-associated ovarian cancer group, respectively. Patients included in the non- endometriosis-associated ovarian cancer group had a shorter disease-free survival than those in the endometriosis-associated ovarian cancer group (23.4 (range 2.0-168.9) vs 60.9 (range 4.0-287.8) months; p<0.001). Univariable and multivariable analyses showed that the association with endometriosis, previous hormonal treatment, early stage at presentation, and endometrioid histology were related to better disease-free survival in the entire study population. Similarly, patients in the non-endometriosis-associated ovarian cancer group had a shorter median (range) overall survival than those in the endometriosis-associated ovarian cancer group (54.4 (range 0.7-190.6) vs 77.6 (range 4.5-317.8) months; p<0.001). Univariable and multivariable analyses showed that younger age at diagnosis, association with endometriosis, and early stage at presentation were related to better overall survival. The recurrence rate was higher in the non-endometriosis-associated ovarian cancer group (63/144 women, 43.8%) than in the endometriosis-associated ovarian cancer group (17/83 women, 20.5%; p<0.001). CONCLUSIONS: Endometriosis-associated ovarian cancer patients had significantly longer disease-free survival and overall survival than non-endometriosis-associated ovarian cancer patients, while the recurrence rate was higher in non-endometriosis-associated ovarian cancer patients.

Sentinel lymph node biopsy in endometrial cancer: When, how and in which patients.

The role of nodal dissection in patients with endometrial cancer has been intensively studied in several studies. Historically, systematic pelvic and para-aortic lymphadenectomy represented the gold standard surgical treatment to assess potential nodal involvement and consequently define the appropriate stage of the tumor. Over the last years, sentinel node biopsy (SLNB) has been introduced as a more targeted alternative to lymph node dissection for lymph node staging and it has become popular among gynecologic oncologists. However, no level A evidence is still available, and several features of the SLNB technique have been matter of discussion among clinicians and a universally accepted methodology is still not currently available. This narrative review aims to summarize the body of knowledge on SLNB to offer the reader a complete picture about the evolution of this technique over the last decades.

Epidemiology of infertility in women with endometriosis.

Endometriosis is a benign, chronic, inflammatory condition affecting up to 10 % of women and characterised by the presence of glands and stroma tissue outside the uterus. Epidemiological and clinical studies demonstrate a consistent association between endometriosis and infertility. However, this relationship is far to be clearly understood and several mechanisms are involved. Available data show that patients with endometriosis have an increased estimated risk of infertility between two and four times compared with the general population. On the other hand, the probability of patients with infertility to have endometriosis is reported up to about 50 % of the cases. Future studies should aim to better elucidate the mechanisms behind endometriosis-associated infertility in order to offer the more appropriate and tailored management for the patients.

First-trimester prediction model for placental vascular disorders: An observational prospective study.

This study aims to develop a multivariable predictive model for the risk of placental vascular complications (PVC), by using biochemical, biophysical, anamnestic and clinical maternal features available at the first trimester. PVC include gestational hypertension, preeclampsia, placenta abruption, intrauterine growth restriction (IUGR), and stillbirth. Prospective study that included all singleton pregnancies attending the first-trimester aneuploidy screening (11 +0-12 +6 weeks) at Obstetrics Unit of the University Hospital of Modena, in Northern Italy, between June 2018 and December 2019. In a total of 503 women included in the analysis, 40 patients were in the PVC group. The final prediction model for PVC included the following independent variables: pre-pregnancy BMI ≥ 30 (OR = 2.65, 95% CI = 1.04; 6.75, p = 0.0415), increasing values of mean arterial pressure (OR = 1.06, 95% CI = 1.02; 1.10, p = 0.0008), PAPP-A < 2.40465 U/L (OR = 0.43, 95% CI = 0.19; 0.96, p = 0.0388) and decreasing values of PlGf (MoM) (OR = 0.28, 95% CI = 0.10; 0.79, p = 0.0153). The area under the ROC curve was 79.4% indicating a satisfactory predictive accuracy. The best predictive cut-off for this score was equal to -2.562, which corresponds to a 7.2 % probability of having PVC. By using such a cut-off, the risk of PVC can be predicted in our sample with sensitivity equal to 82,4 % and specificity equal to 69,9 %. This model for early prediction of PVC is a promising tool to early identify women at greater risk for placenta vascular complications.

A first trimester prediction model for large for gestational age infants: a preliminary study.

BACKGROUND: Large for gestational age infants (LGA) have increased risk of adverse short-term perinatal outcomes. This study aims to develop a multivariable prediction model for the risk of giving birth to a LGA baby, by using biochemical, biophysical, anamnestic, and clinical maternal characteristics available at first trimester. METHODS: Prospective study that included all singleton pregnancies attending the first trimester aneuploidy screening at the Obstetric Unit of the University Hospital of Modena, in Northern Italy, between June 2018 and December 2019. RESULTS: A total of 503 consecutive women were included in the analysis. The final prediction model for LGA, included multiparity (OR = 2.8, 95% CI: 1.6-4.9, p = 0.001), pre-pregnancy BMI (OR = 1.08, 95% CI: 1.03-1.14, p = 0.002) and PAPP-A MoM (OR = 1.43, 95% CI: 1.08-1.90, p = 0.013). The area under the ROC curve was 70.5%, indicating a satisfactory predictive accuracy. The best predictive cut-off for this score was equal to - 1.378, which corresponds to a 20.1% probability of having a LGA infant. By using such a cut-off, the risk of LGA can be predicted in our sample with sensitivity of 55.2% and specificity of 79.0%. CONCLUSION: At first trimester, a model including multiparity, pre-pregnancy BMI and PAPP-A satisfactorily predicted the risk of giving birth to a LGA infant. This promising tool, once applied early in pregnancy, would identify women deserving targeted interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT04838431 , 09/04/2021.