Objectives: . Idiopathic sudden sensorineural hearing loss (ISSNHL) is a significant cause of hearing loss. Intratympanic steroid injection (ITSI) is commonly used as an initial or salvage treatment; however, the lack of a standardized treatment protocol has resulted in variability in clinical practice. In addition, no efficient prediction model currently exists to support personalized management. Therefore, this study aimed to develop tailored management strategies for ISSNHL using a machine-learning model. Methods: . This retrospective multicenter cohort study was conducted between January 2015 and December 2020, with data analysis performed between January 2021 and March 2024. Patients were selected based on the International Classification of Diseases, 10th Revision criteria for ISSNHL, along with relevant medication and procedure codes. Patients with pure-tone audiogram results not meeting ISSNHL criteria, better initial hearing in the affected ear, an identifiable etiology, no post-treatment audiogram, or delayed treatment (>6 weeks) were excluded. We included 770 patients diagnosed with ISSNHL who received ITSI. The primary outcome was the area under the receiver operating characteristic curve for prediction performance. Recovery status was determined using the last pure-tone audiogram. Modeling was conducted on the Quanta for Medical Care AI platform using five machine-learning algorithms and a nested cross-validation framework, in which feature selection and hyperparameter tuning were performed in the inner folds and model performance was evaluated in the outer folds. Results: . A random forest classifier outperformed the other models in predicting hearing outcomes, achieving an area under the receiver operating characteristic curve of 0.788. Time to ITSI was the most influential treatment-related factor, with ITSI administered within 10 days of hearing loss being associated with better outcomes. This model can be used to provide personalized prognostic estimates under different treatment protocols. Conclusion . The machine-learning-based prediction model facilitates personalized treatment strategies and timely treatment adjustments for ISSNHL, thereby optimizing the likelihood of complete recovery.

Purpose: Perinatal distress, especially depression, commonly occurs during pregnancy and the first year postpartum, but this medical condition are often undiagnosed and untreated. The present study explored how women with depressive symptoms during the perinatal period who had participated in a mindfulness course applied the training and perceived its effects. Methods: This descriptive qualitative study included 16 women with probable perinatal depression who had participated in an 8-week mindfulness-based childbirth and parenting program during their pregnancy and agreed to be interviewed. One-to-one in-depth interviews were conducted and recorded following the completion of the mindfulness course, approximately 1 month after childbirth. Verbatim transcripts were analyzed using content analysis. Results: We proposed three themes and six subthemes relating to first-time mothers’ experiences during and after the group mindfulness-based intervention: learning to be aware of the body and mind (confronting awareness of physical change, managing negative feelings differently), building positive family relationships (strengthening the motherebaby bond, developing a satisfactory marital partnership), and overcoming ongoing challenges (conquering childbirth pain with confidence, accepting unexpected situations). Three main themes were generated to demonstrate how women experience the effects of mindfulness training. Conclusions Mindfulness-based interventions helped the participants develop insight into their mood and physical changes and accept their childbirth process. Therefore, mindfulness education programs can be incorporated into prenatal care to enhance the management of the depressive symptoms of perinatal women.

PURPOSE: The purpose of this project was to explore the parental experience of making a "do not resuscitate" (DNR) decision for their child who is or was cared for in a pediatric intensive care unit in Taiwan. METHODS: A descriptive qualitative study was conducted following parental signing of a standard hospital DNR form on behalf of their critically ill child. Sixteen Taiwanese parents of 11 children aged 1 month to 18 years were interviewed. Interviews were recorded, transcribed, analyzed and sorted into themes by the sole interviewer plus other researchers. RESULTS: Three major themes were identified: (a) "convincing points to sign", (b) "feelings immediately after signing", and (c) "postsigning relief or regret". Feelings following signing the DNR form were mixed and included "frustration", "guilt", and "conflicting hope". Parents adjusted their attitudes to thoughts such as "I have done my best," and "the child's life is beyond my control." Some parents whose child had died before the time of the interview expressed among other things "regret not having enough time to be with and talk to my child". CONCLUSION: Open family visiting hours plus staff sensitivity and communication skills training are needed. To help parents with this difficult signing process, nurses and other professionals in the pediatric intensive care unit need education on initiating the conversation, guiding the parents in expressing their fears, and providing continuing support to parents and children throughout the child's end of life process.
Adolescent ; Adult ; Child ; Child, Preschool ; *Decision Making ; Female ; Humans ; Infant ; Intensive Care Units, Pediatric ; Male ; Middle Aged ; Palliative Care/*psychology ; Parents/*psychology ; *Professional-Family Relations ; Qualitative Research ; Resuscitation Orders/*psychology ; Taiwan ; Young Adult