Painful sex (dyspareunia): a difficult symptom in gynecological practice

Prediction of myofascial pelvic pain syndrome based on random forest model

Objective

The objective is to construct a random forest model for predicting the occurrence of Myofascial pelvic pain syndrome (MPPS) and compare its performance with a logistic regression model to demonstrate the superiority of the random forest model.

Methods

We retrospectively analyze the clinical data of female patients who underwent pelvic floor screening due to chronic pelvic pain at the Pelvic Floor Rehabilitation Center of the Third Affiliated Hospital of Zhengzhou University from January 2021 to December 2023. A total of 543 female patients meeting the study's inclusion and exclusion criteria are randomly selected from this dataset and allocated to the MPPS group. Furthermore, 702 healthy female patients who underwent pelvic floor screening during routine physical examinations within the same timeframe are randomly selected and assigned to the non-MPPS group. Chi-square test and rank-sum test are used to select demographic variables, pelvic floor pressure assessment data variables, and modified Oxford muscle strength grading data for logistic univariate analysis. The selected variables are further subjected to multivariate logistic regression analysis, and a random forest model is also established. The predictive performance of the two models is evaluated by comparing their accuracy, sensitivity, specificity, precision, receiver operating characteristic (ROC) curve, and area under the curve (AUC) area.

Results

Based on a dataset of 1245 cases, we implement the random forest algorithm for the first time in the screening of MPPS. In this investigation, the Logistic regression model forecasts the accuracy, sensitivity, specificity, and precision of MPPS at 69.96 %, 57.46 %, 79.63 %, and 68.57 % respectively, with an AUC of the ROC curve at 0.755. Conversely, the random forest prediction model exhibits accuracy, sensitivity, specificity, and precision rates of 87.11 %, 90.66 %, 90.91 %, and 83.51 % respectively, with an AUC of the ROC curve at 0.942. The random forest model showcases exceptional predictive performance during the initial screening of MPPS.

Conclusion

The random forest model has exhibited exceptional predictive performance in the initial screening evaluation of MPPS disease. The development of this predictive framework holds significant importance in refining the precision of MPPS prediction within clinical environments and elevating treatment outcomes. This research carries profound global implications, given the potentially elevated misdiagnosis rates and delayed diagnosis proportions of MPPS on a worldwide scale, coupled with a potential scarcity of seasoned healthcare providers. Moving forward, continual refinement and validation of the model will be imperative to further augment the precision of MPPS risk assessment, thereby furnishing clinicians with more dependable decision-making support in clinical practice.

"The habit of keeping silent": An exploratory-descriptive qualitative study of the knowledge and attitudes of Kazakhstani gynecologists toward dyspareunia

BACKGROUND

Dyspareunia (pain during sex) is a common condition that causes physical and emotional stress for many women. This condition can be caused by various factors, including physical, hormonal, inflammatory, viral, neoplastic, psychological, and traumatic events. Anatomical causes include pelvic floor muscular weakness, uterine retroversion, hymenal remnants, and pelvic organ prolapse. The etiology of this condition is complex, causing it to be often overlooked.

OBJECTIVES

The main aim of this study was to conduct a qualitative exploratory study and provide a comprehensive description of the knowledge and attitudes held by gynecologists in Kazakhstan on the medical validity, diagnosis, and treatment of dyspareunia.

DESIGN

This is an exploratory-descriptive qualitative study.

METHODS

Semi-structured online interviews were conducted with 10 physicians. They were identified as obstetrics and gynecology specialists, gynecologic oncologists, and outpatient gynecologists. The average number of years spent practicing their specialty is 15.7, with the shortest being 4 years and the longest being 35 years. All the participants are female. Braun and Clarke's six-stage, step-by-step methodology was used for the thematic analysis.

RESULTS

Findings suggest that gynecologists in Kazakhstan have knowledge of the most common causes of dyspareunia, although they still often attribute women's distress to psychological rather than physical factors. It was found that due to stigma and mutual embarrassment open dialogue about sexual health was lacking between patients and physicians. In addition, gynecologists describe difficulties discussing symptoms and performing intimate examinations due to time constraints and a lack of privacy at state facilities.

CONCLUSION

To knowledgeably diagnose and treat patients with dyspareunia, gynecologists recommend further training to acquire the requisite evidence-based knowledge and competencies.

Dyspareunia: Etiology, presentation, and management

ABSTRACT

Dyspareunia in women is a recurrent pain in the genital and/or pelvic area associated with sexual intercourse. Dyspareunia is associated with increased risk of sexual dysfunction and relationship distress, and it may impact an individual's confidence, self-image, and self-esteem. Pain resulting from dyspareunia can be superficial or deep; it can range from intermittent to continuous and dull to sharp. Regardless of presentation, many women are reluctant to report symptoms to providers, making it an underreported yet common condition. The onus lies with practitioners to form trusting and safe relationships with patients in which such discussions are possible. A knowledgeable practitioner can encourage disclosure and improve outcomes for patients with dyspareunia.