Self-esteem, depression, anxiety and sexual function in Mayer-Rokitansky-Küster-Hauser syndrome with neovagina: A case series.

BACKGROUND: The Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome is a rare condition with significant psychological implications. However, our understanding of its impact on postoperative sexual function and mental health is still limited. AIM: Evaluate the mental health status and sexual functioning of women with MRKH syndrome after vaginoplasty surgery. METHODS: We enrolled 53 cases with MRKH syndrome who underwent artificial vaginoplasty. The participants were asked to participate in a two-round survey conducted between February 2021 during the covid-19 period and March 2023. The survey included questionnaires to measure depression, anxiety, self-esteem, and sexual functioning. Differences between scores over time were analysed using a paired sample t-test, and we assessed the correlation between mental health and sexual functioning. RESULTS: In the first round, patients' mean ± SD age at surgery was 23.6 ± 4.5 years old, and the mean ± SD time that had elapsed since surgery at the time of the survey was 34.2 ± 20.8 months. None of the patients reported low self-esteem, 45.3 % reported mild-to-moderate depression, and 34.0 % reported mild anxiety. Thirty patients have had vaginal intercourse during the last six months. The mean ± SD Female Sexual Functioning Index score was 24.6 ± 4.4, and 60.0 % had a score of 23.5 or higher, indicating high sexual functioning. The sexual functioning scores were positively correlated with self-esteem scores and negatively correlated with depression or anxiety scores (p < 0.05). There was no significant improvement in patient's mental health status and sexual function between the second round survey (71.3 ± 17.8 months after surgery) and the first round survey (p > 0.05). In contrast, the sexual arousal of FSFI were significantly higher in the second survey round (p < 0.05). CONCLUSION: Most patients undergoing vaginoplasty reported persisting mental health challenges. However, the majority reported good sexual functioning.

Adaptive Neural Control of Uncertain Nonlinear Systems Using Disturbance Observer.

This paper studies the problem of prescribed performance adaptive neural control for a class of uncertain multi-input and multi-output (MIMO) nonlinear systems in the presence of external disturbances and input saturation based on a disturbance observer. The system uncertainties are tackled by neural network (NN) approximation. To handle unknown disturbances, a Nussbaum disturbance observer is presented. By incorporating the disturbance observer and NNs, an adaptive prescribed performance neural control scheme is further developed. Then, the expected asymptotically convergent tracking errors between system output signals and desired signals are achieved. Numerical simulation results demonstrate the effectiveness of the proposed control scheme.