By utilizing 3D image data from oral and facial scans, virtual patients can be created, allowing clinicians to accurately assess the occlusal plane and the aesthetic position and form of anterior teeth in relation to facial scan data. This integration enhances the predictability of aesthetic prosthetic treatments, reduces the potential for occlusal interferences and adjustments, and facilitates effective communication with patients during the diagnostic process. In this case report, a patient with skeletal Class III malocclusion had both oral and facial scans to generate a virtual patient during the diagnostic phase. Based on this virtual model, prostheses were designed and fabricated, resulting in an efficient and clinically satisfactory outcome both aesthetically and functionally.

By utilizing 3D image data from oral and facial scans, virtual patients can be created, allowing clinicians to accurately assess the occlusal plane and the aesthetic position and form of anterior teeth in relation to facial scan data. This integration enhances the predictability of aesthetic prosthetic treatments, reduces the potential for occlusal interferences and adjustments, and facilitates effective communication with patients during the diagnostic process. In this case report, a patient with skeletal Class III malocclusion had both oral and facial scans to generate a virtual patient during the diagnostic phase. Based on this virtual model, prostheses were designed and fabricated, resulting in an efficient and clinically satisfactory outcome both aesthetically and functionally.

By utilizing 3D image data from oral and facial scans, virtual patients can be created, allowing clinicians to accurately assess the occlusal plane and the aesthetic position and form of anterior teeth in relation to facial scan data. This integration enhances the predictability of aesthetic prosthetic treatments, reduces the potential for occlusal interferences and adjustments, and facilitates effective communication with patients during the diagnostic process. In this case report, a patient with skeletal Class III malocclusion had both oral and facial scans to generate a virtual patient during the diagnostic phase. Based on this virtual model, prostheses were designed and fabricated, resulting in an efficient and clinically satisfactory outcome both aesthetically and functionally.

By utilizing 3D image data from oral and facial scans, virtual patients can be created, allowing clinicians to accurately assess the occlusal plane and the aesthetic position and form of anterior teeth in relation to facial scan data. This integration enhances the predictability of aesthetic prosthetic treatments, reduces the potential for occlusal interferences and adjustments, and facilitates effective communication with patients during the diagnostic process. In this case report, a patient with skeletal Class III malocclusion had both oral and facial scans to generate a virtual patient during the diagnostic phase. Based on this virtual model, prostheses were designed and fabricated, resulting in an efficient and clinically satisfactory outcome both aesthetically and functionally.

By utilizing 3D image data from oral and facial scans, virtual patients can be created, allowing clinicians to accurately assess the occlusal plane and the aesthetic position and form of anterior teeth in relation to facial scan data. This integration enhances the predictability of aesthetic prosthetic treatments, reduces the potential for occlusal interferences and adjustments, and facilitates effective communication with patients during the diagnostic process. In this case report, a patient with skeletal Class III malocclusion had both oral and facial scans to generate a virtual patient during the diagnostic phase. Based on this virtual model, prostheses were designed and fabricated, resulting in an efficient and clinically satisfactory outcome both aesthetically and functionally.

Parkinson’s disease (PD) is a neurodegenerative disease caused by the death of dopaminergic neurons in the nigrostriatal pathway, leading to motor and non-motor dysfunctions, such as depression, olfactory dysfunction, and memory impairment. Although levodopa (L-dopa) has been the gold standard PD treatment for decades, it only relieves motor symptoms and has no effect on non-motor symptoms or disease progression. Prior studies have reported that 6-shogaol, the active ingredient in ginger, exerts a protective effect on dopaminergic neurons by suppressing neuroinflammation in PD mice. This study investigated whether cotreatment with 6-shogaol and L-dopa could attenuate both motor and non-motor symptoms and dopaminergic neuronal damage.Both 6-shogaol (20 mg/kg) and L-dopa (80 mg/kg) were orally administered to 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine/probenecid-induced PD model mice for 26 days. The experimental results showed that L-dopa alleviated motor symptoms, but had no significant effect on non-motor symptoms, loss of dopaminergic neuron, or neuroinflammation. However, when mice were treated with 6-shogaol alone or in combination with L-dopa, an amelioration in both motor and non-motor symptoms such as depressionlike behavior, olfactory dysfunction and memory impairment was observed. Moreover, 6-shogaol-only or co-treatment of 6-shogaol with L-dopa protected dopaminergic neurons in the striatum and reduced neuroinflammation in the striatum and substantia nigra.Overall, these results suggest that 6-shogaol can effectively complement L-dopa by improving non-motor dysfunction and restoring dopaminergic neurons via suppressing neuroinflammation.

Purpose: BRAF mutations are detected in 30%-80% of papillary thyroid cancer (PTC) cases. DaBRAFenib and trametinib showed promising antitumor activity in patients with BRAFV600E-mutated metastatic melanoma and non–small cell lung cancer. This study aimed to evaluate the efficacy and safety of daBRAFenib and trametinib in patients with metastatic BRAFV600E-mutated thyroid cancer. Materials and Methods: This was a retrospective study to evaluate the efficacy of daBRAFenib and trametinib in patients with metastatic BRAFV600E-mutated PTC. The patients received daBRAFenib 150 mg twice daily and trametinib 2 mg once daily at the Samsung Medical Center. This study evaluated the progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR) overall survival (OS), and safety of daBRAFenib and trametinib. Results: Between December 2019 and January 2022, 27 PTC patients including eight patients with poorly differentiated or anaplastic transformation, received daBRAFenib and trametinib. The median age was 73.0 years, and the median follow-up period was 19.8 months. The majority (81.5%) had undergone thyroidectomy, while 8 patients had received prior systemic treatments. ORR was 73.1%, with 19 partial responses, and DCR was 92.3%. Median PFS was 21.7 months, and median OS was 21.7 months. Treatment-related adverse events included generalized weakness (29.6%), fever (25.9%), and gastrointestinal problems (22.2%). Dose reduction due to adverse events was required in 81.5% of the patients. Conclusion DaBRAFenib and trametinib demonstrated a high ORR with promising PFS; however, most patients with BRAFV600E-mutated metastatic PTC required a dose reduction.

Purpose: Optimal treatment for stage IIIA/N2 non–small cell lung cancer (NSCLC) is controversial. We aimed to assess the efficacy and safety of adjuvant pembrolizumab for stage IIIA/N2 NSCLC completely resected after neoadjuvant concurrent chemoradiation therapy (CCRT). Materials and Methods: In this open-label, single-center, single-arm phase 2 trial, patients with stage IIIA/N2 NSCLC received adjuvant pembrolizumab for up to 2 years after complete resection following neoadjuvant CCRT. The primary endpoint was disease-free survival (DFS). Secondary endpoints included overall survival (OS) and safety. As an exploratory biomarker analysis, we evaluated the proliferative response of blood CD39+PD-1+CD8+ T cells using fold changes in the percentage of proliferating Ki-67+ cells from days 1 to 7 of cycle 1 (Ki-67D7/D1). Results: Between October 2017 and October 2018, 37 patients were enrolled. Twelve (32%) and three (8%) patients harbored EGFR and ALK alterations, respectively. Of 34 patients with programmed cell death ligand 1 assessment, 21 (62%), nine (26%), and four (12%) had a tumor proportion score of < 1%, 1%-50%, and ≥ 50%, respectively. The median follow-up was 71 months. The median DFS was 22.4 months in the overall population, with a 5-year DFS rate of 29%. The OS rate was 86% at 2 years and 76% at 5 years. Patients with tumor recurrence within 6 months had a significantly lower Ki-67D7/D1 among CD39+PD-1+CD8+ T cells than those without (p=0.036). No new safety signals were identified. Conclusion Adjuvant pembrolizumab may offer durable disease control in a subset of stage IIIA/N2 NSCLC patients after neoadjuvant CCRT and surgery.

Emergency department (ED) triage systems are used to classify the severity and urgency of emergency patients, and Korean medical institutions use the Korean Triage and Acuity Scale (KTAS). During the COVID-19 pandemic, appropriate treatment for emergency patients was delayed due to various circumstances, such as overcrowding of EDs, lack of medical workforce resources, and increased workload on medical staff. The purpose of this study was to evaluate the accuracy of the KTAS in predicting the urgency of emergency patients during the COVID-19 pandemic. Methods This study retrospectively reviewed patients who were treated in the ED during the pandemic period from January 2020 to June 2021. Patients were divided into COVID-19–screening negative (SN) and COVID-19–screening positive (SP) groups. We compared the predictability of the KTAS for urgent patients between the two groups. Results From a total of 107,480 patients, 62,776 patients (58.4%) were included in the SN group and 44,704 (41.6%) were included in the SP group. The odds ratios for severity variables at each KTAS level revealed a more evident discriminatory power of the KTAS for severity variables in the SN group (P<0.001). The predictability of the KTAS for severity variables was higher in the SN group than in the SP group (area under the curve, P<0.001). Conclusion During the pandemic, the KTAS had low accuracy in predicting patients in critical condition in the ED. Therefore, in future pandemic periods, supplementation of the current ED triage system should be considered in order to accurately classify the severity of patients.

Background: Since the emergence of hypervirulent strains of Clostridioides difficile, the incidence of C. difficile infections (CDI) has increased significantly. Methods: To assess the incidence of CDI in Korea, we conducted a prospective multicentre observational study from October 2020 to October 2021. Additionally, we calculated the incidence of CDI from mass data obtained from the Health Insurance Review and Assessment Service (HIRA) from 2008 to 2020. Results: In the prospective study with active surveillance, 30,212 patients had diarrhoea and 907 patients were diagnosed with CDI over 1,288,571 patient-days and 193,264 admissions in 18 participating hospitals during 3 months of study period; the CDI per 10,000 patientdays was 7.04 and the CDI per 1,000 admission was 4.69. The incidence of CDI was higher in general hospitals than in tertiary hospitals: 6.38 per 10,000 patient-days (range: 3.25–12.05) and 4.18 per 1,000 admissions (range: 1.92–8.59) in 11 tertiary hospitals, vs. 9.45 per 10,000 patient-days (range: 5.68–13.90) and 6.73 per 1,000 admissions (range: 3.18–15.85) in seven general hospitals. With regard to HIRA data, the incidence of CDI in all hospitals has been increasing over the 13-year-period: from 0.3 to 1.8 per 10,000 patient-days, 0.3 to 1.6 per 1,000 admissions, and 6.9 to 56.9 per 100,000 population, respectively. Conclusion The incidence of CDI in Korea has been gradually increasing, and its recent value is as high as that in the United State and Europe. CDI is underestimated, particularly in general hospitals in Korea.