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.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

PURPOSE: The purpose of this study was to understand the situation of diabetes patients receiving examinations for diabetes complications and to explore the factors influencing their intention to receive examinations for diabetes complications. METHODS: A cross-sectional study was performed that included 251 diabetes patients who visited outpatient clinics in Southern Taiwan. A survey using a self-administered questionnaire was conducted from October 2015 to January 2016. The questionnaire included items on demographic characteristics, perceived susceptibility to diabetes complications, perceived seriousness of diabetes complications, perceived benefits of taking action to receive diabetes complication examinations, perceived barriers to taking action to receive diabetes complication examinations, and the intention to receive diabetes complication examinations. The data were analyzed using regression analysis. RESULTS: The percentage of participants who received fundus, foot, and kidney examinations was 67.7%, 61.4%, and 73.3%, respectively. Every point increase on the perceived barriers to taking action to receive diabetes complication examinations scale increased the intention to receive a foot examination in the following year by 0.91 times (p = .002), and every point increase on the perceived susceptibility to diabetes complications scale increased the intention to receive a kidney examination in the following year by 1.19 times (p = .045). CONCLUSIONS: Nurses should shoulder the responsibility to increase patients' intention to receive examination of diabetes complications. The results of this study can be used to promote nurses' care efficacy in preventing diabetes complications. They can also provide medical institutions with information to establish prevention and control policies for diabetes complications.
Ambulatory Care/utilization ; Cross-Sectional Studies ; Diabetic Angiopathies/nursing/*prevention & control/psychology ; Diabetic Nephropathies/nursing/*prevention & control/psychology ; Disease Susceptibility/psychology ; Early Diagnosis ; Female ; Humans ; Intention ; Kidney Function Tests ; Male ; Middle Aged ; Nurse-Patient Relations ; Ophthalmoscopy ; Patient Acceptance of Health Care/*psychology ; Perception ; Physical Examination/nursing/*psychology/utilization ; Taiwan