Immunoglobulin G4-related disease (IgG4-RD) is a chronic fibroinflammatory systemic disorder. Predominantly, patients with submandibular swelling are diagnosed with this disease in otorhinolaryngology. However, due to its rarity and the limited understanding of the disease, accurate diagnosis can be challenging. Through a retrospective review of seven cases of IgG4- RD patients, our study analyzed the symptoms, diagnostic approaches, treatment modalities, and prognosis of the condition, contributing to a better understanding of IgG4-RD.

Objective: This study aimed to compare the efficacy and safety of romosozumab, a bone anabolic agent, versus vertebroplasty, a conventional surgical intervention, in treating osteoporotic vertebral compression fractures (OVCFs). Methods: A retrospective analysis included 86 thoracic/lumbar compression fracture patients from 2014 to 2022 at a medical center. Forty-two patients received romosozumab (monthly injections for 1 year) followed by 1 year of denosumab, while 44 underwent vertebroplasty followed by denosumab injections biannually for 2 years. Outcomes were assessed using the Numerical Rating Scale (NRS) for pain, bone mineral density (BMD), vertebral compression ratio, and Cobb angle over 12 months. Results: At 12 months, the romosozumab group showed a greater reduction in NRS scores (4.90 ± 1.01 vs. 4.27 ± 1.34, p = 0.015) and a higher increase in lumbar BMD (0.8 ± 0.5 vs. 0.5 ± 0.3, p = 0.000) compared to the vertebroplasty group. There were no significant differences in changes in hip total BMD and femur neck BMD (p = 0.190, p = 0.167, respectively). Radiographic assessments showed no significant differences in vertebral compression ratio (14.7% vs. 14.8%; p = 0.960) or Cobb angle (4.2° vs. 4.9°; p = 0.302). The incidence of major osteoporotic fractures was lower in the romosozumab group (7.1% vs. 25.0%, p = 0.051), with similar rates of cardiovascular events in both groups (4.8% vs. 9.1%, p = 0.716). Conclusion Romosozumab has demonstrated superior pain reduction and lumbar BMD improvement compared to vertebroplasty at 12 months, with no significant differences in radiographic outcomes or adverse events, suggesting it as an alternative to vertebroplasty for OVCF.

Purpose: Cognitive behavioral therapy (CBT) has long been recognized as an effective treatment for depression and suicidality.Virtual reality (VR) technology is widely used for cognitive training for conditions such as anxiety disorder and post-traumatic stress disorder, but little research has considered VR-based CBT for depressive symptoms and suicidality. We tested the effectiveness and safety of a VR-based CBT program for depressive disorders. Materials and Methods: We recruited 57 participants from May 2022 through February 2023 using online advertisements. This multi-center, assessor-blinded, randomized, controlled exploratory trial used two groups: VR treatment group and treat as usual (TAU) group. VR treatment group received a VR mental health training/education program. TAU group received standard pharmacotherapy. Assessments were conducted at baseline, immediately after the 6-week treatment period, and 4 weeks after the end of the treatment period in each group. Results: Depression scores decreased significantly over time in both VR treatment and TAU groups, with no differences between the two groups. The suicidality score decreased significantly only in VR group. No group differences were found in the remission or response rate for depression, perceived stress, or clinical severity. No adverse events or motion sickness occurred during the VR treatment program. Conclusion VR CBT treatment for major depressive disorder has the potential to be equivalent to the gold-standard pharmacotherapy in reducing depressive symptoms, suicidality, and related clinical symptoms, with no difference in improvement found in this study. Thus, VR-based CBT might be an effective alternative to pharmacotherapy for depressive disorders.

Purpose: To develop a machine learning (ML) classifier for predicting post-induction hypotension (PIH) in non-cardiac surgeries. Materials and Methods: Preoperative data and early vital signs were obtained from 3669 cases in the VitalDB database, an opensource registry. PIH was defined as sustained mean arterial pressure (MAP) <65 mm Hg within 20 minutes since induction or from induction to incision. Six different ML algorithms were used to create binary classifiers to predict PIH. The primary outcome was the area under the receiver operating characteristic curve (AUROC) of ML classifiers. Results: A total of 2321 (63.3%) cases exhibited PIH. Among ML classifiers, the random forest regressor and extremely gradient boosting regressor showed the highest AUROC, both recording a value of 0.772. Excluding these models, the light gradient boosting machine regressor showed the second highest AUROC [0.769; 95% confidence interval (CI), 0.767–0.771], followed by the gradient boosting regressor (0.768; 95% CI, 0.763–0.772), AdaBoost regressor (0.752; 95% CI, 0.743–0.761), and automatic relevance determination regression (0.685; 95% CI, 0.669–0.701). The top three important features were mean diastolic blood pressure (DBP), minimum MAP, and minimum DBP from anesthetic induction to tracheal intubation, and these features were lower in cases with PIH (all p<0.001). Conclusion ML classifiers exhibited moderate performance in predicting PIH, and have the potential for real-time prediction.

Immunoglobulin G4-related disease (IgG4-RD) is a chronic fibroinflammatory systemic disorder. Predominantly, patients with submandibular swelling are diagnosed with this disease in otorhinolaryngology. However, due to its rarity and the limited understanding of the disease, accurate diagnosis can be challenging. Through a retrospective review of seven cases of IgG4- RD patients, our study analyzed the symptoms, diagnostic approaches, treatment modalities, and prognosis of the condition, contributing to a better understanding of IgG4-RD.

Objective: This study aimed to compare the efficacy and safety of romosozumab, a bone anabolic agent, versus vertebroplasty, a conventional surgical intervention, in treating osteoporotic vertebral compression fractures (OVCFs). Methods: A retrospective analysis included 86 thoracic/lumbar compression fracture patients from 2014 to 2022 at a medical center. Forty-two patients received romosozumab (monthly injections for 1 year) followed by 1 year of denosumab, while 44 underwent vertebroplasty followed by denosumab injections biannually for 2 years. Outcomes were assessed using the Numerical Rating Scale (NRS) for pain, bone mineral density (BMD), vertebral compression ratio, and Cobb angle over 12 months. Results: At 12 months, the romosozumab group showed a greater reduction in NRS scores (4.90 ± 1.01 vs. 4.27 ± 1.34, p = 0.015) and a higher increase in lumbar BMD (0.8 ± 0.5 vs. 0.5 ± 0.3, p = 0.000) compared to the vertebroplasty group. There were no significant differences in changes in hip total BMD and femur neck BMD (p = 0.190, p = 0.167, respectively). Radiographic assessments showed no significant differences in vertebral compression ratio (14.7% vs. 14.8%; p = 0.960) or Cobb angle (4.2° vs. 4.9°; p = 0.302). The incidence of major osteoporotic fractures was lower in the romosozumab group (7.1% vs. 25.0%, p = 0.051), with similar rates of cardiovascular events in both groups (4.8% vs. 9.1%, p = 0.716). Conclusion Romosozumab has demonstrated superior pain reduction and lumbar BMD improvement compared to vertebroplasty at 12 months, with no significant differences in radiographic outcomes or adverse events, suggesting it as an alternative to vertebroplasty for OVCF.

Objectives: This study aimed to explore factors influencing satisfaction with medical services among medically underserved populations at the free medical clinic, providing data to improve free medical services for these populations. Methods: We employed a descriptive correlational study design involving 112 individuals (aged 19 years and older) from medically underserved populations who visited the clinic. Data were collected through face-to-face surveys from September to October 2023, and statistical analyses (t-tests, analysis of variance, Pearson correlation, and hierarchical multiple regression) were used to identify key predictors of satisfaction. Results: Perceived support from healthcare providers emerged as the strongest predictor ofsatisfaction with medical services, demonstrating a significant positive association. While socialsupport was positively correlated with perceived support from healthcare providers, it did not independently predict satisfaction. Conclusion These findings underscore the importance of healthcare provider and social supportin increasing satisfaction with medical services among medically underserved populations.Developing tailored healthcare programs and specialized healthcare provider training are essential strategies to improve healthcare access and outcomes for these vulnerable groups.

Objective: Adult attachment style is linked to how an individual responds to threats or stress and is known to be related to the onset of psychiatric symptoms such as depression. However, as the current assessment of attachment type mainly relies on self-report questionnaires and can be prone to bias, there is a need to incorporate physiological factors along with psychological symptoms and history in this process. We aimed to predict the measurement of two important types of adult attachment with heart rate variability (HRV), early life stress experience, and subjective psychiatric symptoms. Methods: Five hundred eighty-two subjects with depressive disorder were recruited retrospectively from January 2015 to June 2021. The experience of early life stress and psychiatric symptoms were collected, and HRV measures were obtained as input for an ensembled Voting Regressor model of machine learning-based regression models, including linear regression, ElasticNet, Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost). Results: Model performances evaluated with R-squared score averaged across 30 seeds were 0.377 and 0.188 for anxious- and avoidant-attachment, respectively. Mean absolute error averaged to 13.251 and 12.083, respectively. Shapley value importance analysis indicated that for both attachment types, the most important feature was the trait-anxiety, followed by emotional abuse, state-anxiety or self-reported depressive symptoms, and fear or helplessness felt in the moment of an early life stressor. Conclusion Our results provide the evidence base that may be utilized in clinical settings to predict the degree of attachment type using bio-psychological factors.

Background/Aims: Krebs von den Lungen-6 (KL-6) is associated with prognosis in patients with COVID-19. However, there is limited data on the correlation between the prognosis of COVID-19 and varying KL-6 levels at different time points. We investigated the optimal cutoff values of the initial and peak serum KL-6 levels to predict mortality and evaluated their correlation with mortality. Methods: This retrospective cohort study collected data on serially collected serum KL-6 levels in patients hospitalized with COVID-19 between October 2020 and January 2022 at a single tertiary hospital in South Korea. The area under the receiver operating characteristic curve and Youden index were used to determine the cutoff points for the initial and peak KL-6 levels that best predicted 30-day mortality. The association between the initial and peak KL-6 values was assessed by univariate and multivariate logistic regression models. Results: A total of 349 patients were included in this study. The mean initial and peak KL-6 levels were significantly higher in the non-survivor group than in the survivor group. The initial and peak KL-6 values that best predicted 30-day mortality were 491.85 U/mL and 660.05 U/mL, respectively. An initial KL-6 level greater than 491.85 U/mL and a peak KL-6 level greater than 660.05 U/mL were significantly associated with 30-day mortality. Conclusions The initial and peak levels of KL-6 were significantly associated with 30-day mortality in hospitalized patients with COVID-19. These findings suggest that serially monitoring blood KL-6 levels could be a valuable prognostic indicator for COVID-19.