Changes in Endometriosis-Associated Symptoms Following Immunization against SARS-CoV-2: A Cross-Sectional Study.

Background: There are many reports about variations in the menstrual cycle after infection with SARS-CoV-2 or vaccination against it. However, data on SARS-CoV-2 infection or vaccination-related changes in menstruation-associated endometriosis-typical symptoms such as dysmenorrhea, dyspareunia, dyschezia, dysuria, and bloating are rare or missing. Methods: This retrospective study was performed as an online survey among employees and students at the University Hospital Ulm, Germany. Changes regarding the presence of mentioned symptoms and after immunization (vaccination and/or infection) were evaluated with the McNemar Test. Additionally, the risk factors associated with these changes and associations between a subjectively perceived general change in menstruation and changes in the symptoms were evaluated. Results: A total of 1589 respondents were included in the final analysis. Less than 4% of respondents reported the occurrence of new symptoms that they had not experienced before immunization. Overall, there was a significant reduction in the presence of dysmenorrhea, back pain, dyschezia, bloating, and dyspareunia after immunization against coronavirus (p < 0.001). Only 2.3% of all participants reported to have been diagnosed with endometriosis. Factors associated with changes in endometriosis-typical symptoms following immunization were body mass index, age, endometriosis, and thyroid disease. Conclusions: Our results provide unique data about a reduction in the incidence of endometriosis-associated symptoms as dysmenorrhea, dyschezia, and dyspareunia after immunization against COVID-19.

Three-dimensional model for improvement of endometriosis care (3D-E).

OBJECTIVE: Endometriosis affects approximately 10% of women of reproductive age and leads to significant morbidity and financial burden. Consequently, countries such as France and Germany are formulating strategies to combat endometriosis. In this study, we propose the implementation of our three-dimensional model (3D-E) to raise awareness about endometriosis and enhance timely diagnosis, treatment, and long-term care for affected patients. METHODS: Based on the adapted Six Sigma Principle and the modified recommendation of Sales et al. for implementing evidence-based findings into a clinical routine, we first conducted a comprehensive investigation to identify risk factors leading to diagnostic delay of endometriosis. After identifying improvable factors, the applicable options were selected due to defined criteria such as integrability in the clinical routine, cost-effectiveness, and evidence-based-principle. Finally, solutions feasible for health care providers were integrated and the 3D-E model was established. RESULTS: Some of the main risk factors contributing to diagnostic delays are symptoms acceptance and misinterpreted symptoms, especially if presenting to nongynecologists in cases of extragenital endometriosis with atypical presentation. Therefore, we tried to sensitize colleagues (first dimension) with a review paper in Germany's largest medical journal and started an elective for medical students (second dimension) at our university. In order to involve additional health care professionals in endometriosis care (third dimension), we are preparing the concept of the EndoNurse. CONCLUSION: The 3D-E model is a relatively low-cost, comprehensive, and worldwide adaptable approach for facilitating knowledge transfer, sensitizing health care providers, and improving endometriosis diagnostics and therapy for patients with endometriosis who are in the center of the model.

Disturbances of menstrual cycle after immunization against SARS-CoV-2 and their risk factors: Cross-sectional clinical study.

OBJECTIVE: Abnormalities of the menstrual cycle were reported after infection with SARS-CoV-2 and vaccination against it, but the available data are very heterogeneous, do not reflect intermenstrual variations or regional differences, and their risk factors are missing. METHODS: We performed a survey-based study among 6383 employees and students of Ulm University Hospital in Germany between March 1 and 31, 2021. Attributes of menstrual cycles such as cycle length (CL), menses duration (MD), and bleeding volume (BV) were reported as categorical variables before and after immunization against SARS-CoV-2 (first, second, third vaccination or infection). Additionally, the potential risk factors for cycle changes were evaluated and all participants reported the subjective perception of changes, their duration, and time of occurrence. RESULTS: The final analysis included 1726 participants. CL and BV significantly changed after vaccination, but not MD. The subjective perception showed only slight levels of agreement with the objective changes, with the highest Cohen's kappa for CL. The risk factors for the variations in CL were previous cycle irregularities, and risk factors for the changes in BV were age and body mass index. The combination of vaccines (homogenous or heterogeneous) and different types of immunization (infection and vaccination) had no significant effect on cycle irregularities. CONCLUSION: In summary, immunization against SARS-CoV-2 causes changes in the characteristics of the menstrual cycle, which are mostly temporary. The individual risk factors, but not the type of immunization, can affect the mentioned changes.

Extragenital Endometriosis in the Differential Diagnosis of Non- Gynecological Diseases.

BACKGROUND: Endometriosis is a chronic, benign disease that affects approximately 10% of women of childbearing age. Its characteristic clinical features are dysmenorrhea, dyschezia, dysuria, dyspareunia, and infertility. The manifestations of extragenital endometriosis (EE) are a diagnostic challenge, as this disease can mimic other diseases due to its unusual location with infiltration of various organs and corresponding symptoms. METHODS: This review is based on publications retrieved by a selective search of the literature on the commonest extragenital sites of endometriosis, including the relevant current guideline. RESULTS: Current evidence on the treatment of extragenital endometriosis consists largely of cohort studies and cross-sectional studies. The treatment is either surgical and/or conservative (e.g., hormonal therapy). Gastrointestinal endometriosis is the most common form of EE, affecting the rectum and sigmoid colon in nearly 90% of cases and typically presenting with dyschezia. Urogenital endometriosis is the second most common form of EE. It affects the bladder in more than 85% of cases and may present with dysuria, hematuria, or irritable bladder syndrome. The diaphragm is the most common site of thoracic endometri - osis, potentially presenting with period-associated shoulder pain or catamenial pneumothorax. Endometriosis affecting a nerve often presents with sciatica. In abdominal wall endometriosis, painful nodules arise in scars from prior abdominal surgery. CONCLUSION: There is, as yet, no causally directed treatment for chronic endometriosis. The treatment is decided upon individually in discussion with the patient, in consideration of risk factors and after assessment of the benefits and risks. Timely diagnosis is essential.

Multiparametric analysis of bone marrow in cancer patients using simultaneous PET/MR imaging: Correlation of fat fraction, diffusivity, metabolic activity, and anthropometric data.

BACKGROUND: To analyze the regional composition of bone marrow (BM) in correlation with metabolic activity and diffusivity using simultaneous positron emission tomography (PET)/MRI. METHODS: Retrospective analysis of 18F-FDG-PET/MR scans of 110 patients was performed. A three-dimensional gradient-echo sequence with Dixon-based fat-water separation was used for fat quantification. Dixon images, diffusion-weighted images (DWI) and 18F-FDG-PET were co-registered. Mean values of fat fraction (FF), standardized uptake value (SUV), and apparent diffusion coefficient (ADC) of BM were measured in different anatomical regions. Correlation of FF, SUV, and ADC and association of BM fat content and metabolic activity with anthropometric data was analyzed (Pearson). BM fat content and metabolic activity was compared in patients with and without chemotherapy (t-test). RESULTS: Regional differences in BM were found with highest fat content (93 ± 8%) and lowest ADC (0.22 ± 0.18 × 10(-3) mm(2) /s) in the peripheral skeleton and highest SUV in the spine (1.77 ± 0.6). There was a significant inverse correlation between FF and SUV (r = -0.73; P < 0.0001) and a significant inverse correlation between FF and ADC (r = -0.62; P < 0.0001). In patients with chemotherapy, a tendency to higher fat content and lower metabolic activity was observed in the proximal skeleton, although no statistical significance was reached. CONCLUSION: BM shows distinct regional variations in FF, SUV, and ADC. The inverse correlation of FF and SUV in BM suggests that BM adipose tissue does not have a comparable high metabolic activity as brown adipose tissue.