Radiofrequency ablation (RFA) is a minimally invasive treatment modality used as an alternative to surgery in patients with benign thyroid nodules, recurrent thyroid cancers (RTCs), and primary thyroid microcarcinomas. The Korean Society of Thyroid Radiology (KSThR) initially developed recommendations for the optimal use of RFA for thyroid tumors in 2009 and revised them in 2012 and 2017. As new meaningful evidence has accumulated since 2017 and in response to a growing global interest in the use of RFA for treating malignant thyroid lesions, the task force committee members of the KSThR decided to update the guidelines on the use of RFA for the management of RTCs based on a comprehensive analysis of current literature and expert consensus.

BACKGROUND/OBJECTIVES: Green Citrus junos (yuja) peel extract has higher naringin and hesperidin contents and antioxidant activity than yellow yuja peel extract, but its anti-obesity effects are unclear. This study examined the anti-obesity properties of green yuja peel ethanol extract (GYE) in 3T3-L1 cells and high-fat diet (HFD)-induced obese mice.MATERIALS/METHODS: The effects of GYE on adipocyte differentiation were assessed by measuring Oil red O staining, mRNA and protein expression. The beneficial effects of GYE on HFD-induced obese mice were evaluated using the body weight, body composition, visceral fat size, and biochemical analysis. RESULTS: GYE inhibited adipocyte differentiation and lipid accumulation compared to the control cells, as evidenced by Oil red O staining and the triglyceride level, respectively.GYE down-regulated the adipogenic genes CCAAT/enhancer binding protein α (C/EBPα) and peroxisome proliferator-activated receptor γ (PPARγ), and lipogenic gene diacylglycerol O-acyltransferase 2 (DGAT2). GYE at 100 μg/mL downregulated the phosphorylation levels of phosphoinositide 3-kinase (PI3K) and protein kinase B (Akt), and their downstream targets PPARγ and sterol regulatory element-binding protein-1 (SREBP-1c) compared to the control group. In obese mice, GYE (100 mg/kg/day) reduced the body weight, body weight gain, and serum lipid level compared to the control group. Analysis using dual-energy X-ray absorptiometry showed that GYE decreased the fat percentage, fat in tissue, and abdominal circumference, while it increased the lean percentage compared to control group.Furthermore, GYE significantly reduced the visceral fat weight and size compared to the control group. CONCLUSION GYE suppressed adipocyte differentiation by inhibiting the PI3K-Akt pathway in vitro and reduced the body fat mass and visceral adiposity in HFD-induced obese mice.These findings suggest that GYE is a viable natural option for combating obesity.

Objective: The purpose of this study is to identify the types of pain changes that affect older Koreans, as well as their effects on depressive symptom. Methods: We analyzed the Korean Longitudinal Study of Aging data collected from 2010 to 2018. A data of total of 1,359 participants, aged 65 or older were used to estimate the change in pain. A latent growth model and growth mixture modeling were performed to estimate the overall change in pain and to categorize the types of pain changes. Results: The pain changes of older adults were classified into two categories: low-stable and high increasing. The depressive symptom showed a stronger relationship among the high-increasing type of pain than the low-stable type. The high-increasing type had a higher percentage of females, lower income, relatively low educational attainment, and a higher percentage of rural residents than the low-stable type. Conclusion The significance of this study is that it reiterated the importance of early pain diagnosis and intervention by identifying the types of pain changes in older adults and analyzing their effects on depressive symptoms. Therefore, it is especially important to pay attention to interventions that are designed to help vulnerable groups with a high risk of pain obtain effective pain management.

Radiofrequency ablation (RFA) is a minimally invasive treatment modality used as an alternative to surgery in patients with benign thyroid nodules, recurrent thyroid cancers (RTCs), and primary thyroid microcarcinomas. The Korean Society of Thyroid Radiology (KSThR) initially developed recommendations for the optimal use of RFA for thyroid tumors in 2009 and revised them in 2012 and 2017. As new meaningful evidence has accumulated since 2017 and in response to a growing global interest in the use of RFA for treating malignant thyroid lesions, the task force committee members of the KSThR decided to update the guidelines on the use of RFA for the management of RTCs based on a comprehensive analysis of current literature and expert consensus.

BACKGROUND/OBJECTIVES: Green Citrus junos (yuja) peel extract has higher naringin and hesperidin contents and antioxidant activity than yellow yuja peel extract, but its anti-obesity effects are unclear. This study examined the anti-obesity properties of green yuja peel ethanol extract (GYE) in 3T3-L1 cells and high-fat diet (HFD)-induced obese mice.MATERIALS/METHODS: The effects of GYE on adipocyte differentiation were assessed by measuring Oil red O staining, mRNA and protein expression. The beneficial effects of GYE on HFD-induced obese mice were evaluated using the body weight, body composition, visceral fat size, and biochemical analysis. RESULTS: GYE inhibited adipocyte differentiation and lipid accumulation compared to the control cells, as evidenced by Oil red O staining and the triglyceride level, respectively.GYE down-regulated the adipogenic genes CCAAT/enhancer binding protein α (C/EBPα) and peroxisome proliferator-activated receptor γ (PPARγ), and lipogenic gene diacylglycerol O-acyltransferase 2 (DGAT2). GYE at 100 μg/mL downregulated the phosphorylation levels of phosphoinositide 3-kinase (PI3K) and protein kinase B (Akt), and their downstream targets PPARγ and sterol regulatory element-binding protein-1 (SREBP-1c) compared to the control group. In obese mice, GYE (100 mg/kg/day) reduced the body weight, body weight gain, and serum lipid level compared to the control group. Analysis using dual-energy X-ray absorptiometry showed that GYE decreased the fat percentage, fat in tissue, and abdominal circumference, while it increased the lean percentage compared to control group.Furthermore, GYE significantly reduced the visceral fat weight and size compared to the control group. CONCLUSION GYE suppressed adipocyte differentiation by inhibiting the PI3K-Akt pathway in vitro and reduced the body fat mass and visceral adiposity in HFD-induced obese mice.These findings suggest that GYE is a viable natural option for combating obesity.

Objective: The purpose of this study is to identify the types of pain changes that affect older Koreans, as well as their effects on depressive symptom. Methods: We analyzed the Korean Longitudinal Study of Aging data collected from 2010 to 2018. A data of total of 1,359 participants, aged 65 or older were used to estimate the change in pain. A latent growth model and growth mixture modeling were performed to estimate the overall change in pain and to categorize the types of pain changes. Results: The pain changes of older adults were classified into two categories: low-stable and high increasing. The depressive symptom showed a stronger relationship among the high-increasing type of pain than the low-stable type. The high-increasing type had a higher percentage of females, lower income, relatively low educational attainment, and a higher percentage of rural residents than the low-stable type. Conclusion The significance of this study is that it reiterated the importance of early pain diagnosis and intervention by identifying the types of pain changes in older adults and analyzing their effects on depressive symptoms. Therefore, it is especially important to pay attention to interventions that are designed to help vulnerable groups with a high risk of pain obtain effective pain management.

Purpose: This study aimed to identify core domains for pre-registered nurses by comparing licensing competencies with program outcomes (POs) in undergraduate nursing education. This was accomplished in preparation for the transition of the Korean Nurse Licensing Examination (KNLE) from a tradition seven-subject format to a newly integrated, competency-based single-subject format that reflects current trends in nursing assessment. Methods: A literature review and survey were conducted. From 828 studies retrieved via PubMed, CINAHL, and Google Scholar using keywords such as “newly graduated registered nurses” and “competency OR competence,” 18 were selected according to pre-established inclusion and exclusion criteria. Documents from national and international nursing organizations were included to extract relevant licensing competencies. We also reviewed POs from all undergraduate nursing schools in South Korea to align educational outcomes with the identified core domains. Results: The core domains identified were clinical performance and decision-making, professional attitudes and ethics, communication and interpersonal skills, leadership and teamwork, quality improvement and safety, health promotion and prevention, and information technology and digital health. These domains showed strong alignment with POs under the fourth-cycle accreditation standards. Conclusion It concludes the seven core domains will be appropriate for evaluating pre-registered nurses in the integrated KNLE. Based on the seven identified core domains, expert consensus should be sought in the next phase to support the development of integrated, competency-based test items grounded in these domains.

Background: An ideal lung allocation system should reduce waiting list deaths, improve transplant survival, and ensure equitable organ allocation. This study aimed to develop a novel lung allocation score (LAS) system, the MaxBenefit LAS, to maximize transplant benefits. Methods: This study retrospectively analyzed data from the Korean Network for Organ Sharing database, including 1,599 lung transplant candidates between September 2009 and December 2020. We developed the MaxBenefit LAS, combining a waitlist mortality model and a post-transplant survival model using elastic-net Cox regression, was assessed using area under the curve (AUC) values and Uno’s C-index. Its performance was compared to the US LAS in an independent cohort. Results: The waitlist mortality model showed strong predictive performance with AUC values of 0.834 and 0.818 in the training and validation cohorts, respectively. The post-transplant survival model also demonstrated good predictive ability (AUC: 0.708 and 0.685). The MaxBenefit LAS effectively stratified patients by risk, with higher scores correlating with increased waitlist mortality and decreased post-transplant mortality. The MaxBenefit LAS outperformed the conventional LAS in predicting waitlist death and identifying candidates with higher transplant benefits. Conclusion The MaxBenefit LAS offers a promising approach to optimizing lung allocation by balancing the urgency of candidates with their likelihood of survival post-transplant. This novel system has the potential to improve outcomes for lung transplant recipients and reduce waitlist mortality, providing a more equitable allocation of donor lungs.

Purpose: This study aimed to identify core domains for pre-registered nurses by comparing licensing competencies with program outcomes (POs) in undergraduate nursing education. This was accomplished in preparation for the transition of the Korean Nurse Licensing Examination (KNLE) from a tradition seven-subject format to a newly integrated, competency-based single-subject format that reflects current trends in nursing assessment. Methods: A literature review and survey were conducted. From 828 studies retrieved via PubMed, CINAHL, and Google Scholar using keywords such as “newly graduated registered nurses” and “competency OR competence,” 18 were selected according to pre-established inclusion and exclusion criteria. Documents from national and international nursing organizations were included to extract relevant licensing competencies. We also reviewed POs from all undergraduate nursing schools in South Korea to align educational outcomes with the identified core domains. Results: The core domains identified were clinical performance and decision-making, professional attitudes and ethics, communication and interpersonal skills, leadership and teamwork, quality improvement and safety, health promotion and prevention, and information technology and digital health. These domains showed strong alignment with POs under the fourth-cycle accreditation standards. Conclusion It concludes the seven core domains will be appropriate for evaluating pre-registered nurses in the integrated KNLE. Based on the seven identified core domains, expert consensus should be sought in the next phase to support the development of integrated, competency-based test items grounded in these domains.

Background: An ideal lung allocation system should reduce waiting list deaths, improve transplant survival, and ensure equitable organ allocation. This study aimed to develop a novel lung allocation score (LAS) system, the MaxBenefit LAS, to maximize transplant benefits. Methods: This study retrospectively analyzed data from the Korean Network for Organ Sharing database, including 1,599 lung transplant candidates between September 2009 and December 2020. We developed the MaxBenefit LAS, combining a waitlist mortality model and a post-transplant survival model using elastic-net Cox regression, was assessed using area under the curve (AUC) values and Uno’s C-index. Its performance was compared to the US LAS in an independent cohort. Results: The waitlist mortality model showed strong predictive performance with AUC values of 0.834 and 0.818 in the training and validation cohorts, respectively. The post-transplant survival model also demonstrated good predictive ability (AUC: 0.708 and 0.685). The MaxBenefit LAS effectively stratified patients by risk, with higher scores correlating with increased waitlist mortality and decreased post-transplant mortality. The MaxBenefit LAS outperformed the conventional LAS in predicting waitlist death and identifying candidates with higher transplant benefits. Conclusion The MaxBenefit LAS offers a promising approach to optimizing lung allocation by balancing the urgency of candidates with their likelihood of survival post-transplant. This novel system has the potential to improve outcomes for lung transplant recipients and reduce waitlist mortality, providing a more equitable allocation of donor lungs.