1.Prognosis of Poorly Differentiated Thyroid Carcinoma: A Systematic Review and Meta-Analysis
Ji Young KIM ; Jae Kyung MYUNG ; Soyun KIM ; Kyung TAE ; Yun Young CHOI ; Soo Jin LEE
Endocrinology and Metabolism 2024;39(4):590-602
Background:
Poorly differentiated thyroid carcinoma (PDTC) accounts for a small portion of thyroid carcinomas but contributes to a significant proportion of thyroid carcinoma-associated deaths. The clinicopathological prognostic factors and clinical outcomes of PDTC remain unclear. We aimed to evaluate the clinical outcomes of patients with PDTC after curative treatment.
Methods:
A comprehensive search was performed up to September 2023. We included studies investigating treatment outcomes in patients with PDTC who underwent initial surgery. The 5-year disease-free survival (DFS) and overall survival (OS) were extracted. In this meta-analysis, the enrolled PDTC histological criteria included 3rd, 4th, and 5th World Health Organization (WHO) and Memorial Sloan Kettering Cancer Center (MSKCC) classification. A random-effects model was used for the pooled proportion analysis. Meta-regression analysis was conducted to evaluate the prognostic factors.
Results:
Twenty retrospective studies published between 2007 and 2023, including 1,294 patients, met all inclusion criteria. Studies that diagnosed PDTC based on various histological criteria including 3rd WHO (n=5), 4th WHO (n=12), 5th WHO (n=2), and MSKCC (n=1) were included. Overall, 5-year DFS and 5-year OS were 49.4% (95% confidence interval [CI], 42.3 to 56.4) and 73.8% (95% CI, 66.5 to 79.9), with moderate heterogeneity of 58% and 55%, respectively. In meta-regression analysis, extrathyroidal extension (ETE) was a prognostic factor for OS.
Conclusion
The meta-analysis of DFS and OS in patients with PDTC show the moderate heterogeneity with a variety of histological criteria. ETE appears to have a significant impact on OS, regardless of histological criteria.
2.Association between Child Maltreatment and Intimate Partner Violence: Moderating Effects of Gender, Age, and Household Income Level
Oh Young KWON ; Heejung KIM ; Young Ran HAN ; Soyun HONG
Journal of Korean Academy of Psychiatric and Mental Health Nursing 2024;33(2):93-103
Purpose:
This study examines the association between child maltreatment and the perpetration and victimization of intimate partner violence (IPV) in adulthood, exploring the moderating effects of gender, age, and household income level.
Methods:
This cross-sectional study analyzed secondary data from the 2016 Domestic Violence Survey in South Korea, including 1,765 married individuals aged 65 or younger who responded to key variables. Structural equation modeling was used to analyze associations among the variables.
Results:
The paths from child maltreatment to IPV perpetration (β=.22, p<.001) and victimization (β=.22, p<.001) were statistically significant. Gender, age, and household income level significantly moderated this relationship. Women under 40 were more likely to be IPV victims than perpetrators. Low-income level increased the likelihood of being both perpetrators and victims. Women under 40 who had experienced child maltreatment and had a low-income level showed different probabilities of being victims or perpetrators of IPV.
Conclusion
Our findings highlight the need to mitigate the negative impact of child maltreatment in adulthood by designing specific interventions for vulnerable groups, such as women, younger individuals, and those with low-income levels. Ensuring lifelong prevention of child maltreatment and establishing tailored programs for IPV is crucial.
3.Immunohistochemical Profiling Reveals Distinct Inflammatory Landscape in Rosacea Subtypes
Tae Min KIM ; Ji Su LEE ; Soyun CHO
Korean Journal of Dermatology 2024;62(5):285-293
Background:
The immunological and histopathological understanding of rosacea subtypes remain unclear. This study aimed to characterize erythematotelangiectatic rosacea (ETR), papulopustular rosacea (PPR), and granulomatous rosacea (GR) immunologically through facial punch biopsy samples.
Objective:
Our goal was to investigate the immunohistochemical profile of rosacea subtypes, providing insights into pathogenesis for targeted therapies.
Methods:
Biopsy samples from 52 rosacea patients and 25 controls were stained for antibodies retrospectively. Statistical analyses identified expression differences.
Results:
In the rosacea group (average age, 55.0; male-to-female ratio, 1:2.1), Langerhans cell count, p53, and vitamin D receptor expression showed no differences from controls or among subtypes. Claudin-1 and occludin expression decreased in rosacea compared to controls, with no variance among subtypes. Demodex mites were present in 40.4% of rosacea cases vs. 8.0% in controls (p=0.003), more frequently in PPR than GR, and absent in ETR. Neutrophil elastase expression mirrored the Demodex pattern. The CD4/CD8 ratio averaged 2.15 in rosacea without differences among subtypes. CD20 and CD68 expression increased in rosacea, escalating in the order of ETR, PPR, and GR, mirroring matrix metalloproteinase-2 (MMP-2). ETR exhibited insignificant CD20 and MMP-2 expression.
Conclusion
Our findings validate a CD4+ T cell-driven response across all rosacea subtypes. Increased neutrophils, B cells, and macrophages, likely influenced by Demodex, were observed in PPR and GR. Demodex mites may recruit additional B cells and macrophages, potentially linked to MMP-2 expression. This comprehensive characterization offers additional insights into the immunopathogenesis of rosacea, paving the way for targeted interventions.
4.A novel variant of THRβ and its 4-year clinical course in a Korean boy with resistance to thyroid hormone
Sejin KIM ; Soyun PARK ; Jungeun MOON ; Heungsik KIM ; Seokjin KANG
Annals of Pediatric Endocrinology & Metabolism 2023;28(3):219-224
Thyroid hormone resistance (RTH) is characterized by a decreased sensitivity of target tissues to thyroid hormones due to a defect in the THRα- and THRβ-encoded thyroid hormone receptors (THRs). The clinical manifestations range from no symptoms to simple goiter and hypo- or hyperthyroidism, depending on the receptor subtype distribution in the tissues. Here, we report the case of a thyroid hormone-resistant 12-month-old boy carrying a novel THRβ variant who was initially diagnosed with congenital hypothyroidism. An extensive evaluation revealed increased free T4 level and inappropriately increased thyroid-stimulating hormone (TSH) level; a normal lipid profile, sex hormone-binding globulin, and free alpha subunit of TSH; exaggerated TSH response to THR; and no radiological evidence of pituitary adenoma. A targeted next-generation sequencing panel identified a heterozygote c.993T>G (p.Asn331Lys) mutation in the THRβ gene. During the first year of life, a higher dose of levothyroxine was administered to the patient due to uncompensated RTH. Levothyroxine treatment was continued after 3 years to maintain TSH level <5 mIU/mL, but the observed weight gain was poor, height increase was insufficient, and bone development was delayed. However, neither hyperactivity nor developmental delay was observed. Patients with RTH exhibit various clinical features. Due to its heterogeneous nature, genetic test for accurate diagnosis is important to provide proper management.
5.Clinical and Histological Features of Eosinophilic Cellulitis in Korean Patients:A Case Series and Literature Review
Min Jae KIM ; Won Ji SONG ; Soo Ran LEE ; Soyun CHO ; Je-Ho MUN ; Chang Hun HUH ; Jung-Im NA ; Jung Won SHIN
Korean Journal of Dermatology 2023;61(1):1-12
Background:
Eosinophilic cellulitis, also known as Wells’ syndrome, is an uncommon skin disease characterized by recurrent pruritic polymorphous plaques or nodules. There is limited knowledge in the Korean literature regarding the clinical characteristics and course of eosinophilic cellulitis.
Objective:
To investigate the clinical and histological features of eosinophilic cellulitis in Korean patients.
Methods:
In this case series study, we retrospectively reviewed the electronic medical records of patients diagnosed with eosinophilic cellulitis at our institutions from 2004 to 2022. We also analyzed the literature published in dermatology and internal medicine journals in Korea.
Results:
A total of 17 patients were included in this study (age, 39.4±21.8 years; 12 male [70.6%]), with an average disease duration of 4.4 months. We identified six clinical variants, with the typical plaque type being the most common (33.3%), followed by the papulonodular type (22.2%). Eosinophilia was observed in 78.6% of patients, and a flame figure, which is a typical histopathological feature of eosinophilic cellulitis, was observed in 52.9% of patients. Systemic and topical steroids and antihistamines were used as first-line treatment with generally favorable results (82.4%), followed by antibiotics (35.3%), cyclosporine (23.5%), and topical calcineurin inhibitors (23.5%).The recurrence rate during the mean follow-up period of 21.8 months was 29.4%.
Conclusion
Eosinophilic cellulitis can present with various clinical manifestations, and flame figures do not appear in all cases; therefore, clinical and histological correlations are critical for accurate diagnosis of patients with eosinophilic cellulitis.
6.Machine Learning Approach for Active Vaccine Safety Monitoring
Yujeong KIM ; Jong-Hwan JANG ; Namgi PARK ; Na-Young JEONG ; Eunsun LIM ; Soyun KIM ; Nam-Kyong CHOI ; Dukyong YOON
Journal of Korean Medical Science 2021;36(31):e198-
Background:
Vaccine safety surveillance is important because it is related to vaccine hesitancy, which affects vaccination rate. To increase confidence in vaccination, the active monitoring of vaccine adverse events is important. For effective active surveillance, we developed and verified a machine learning-based active surveillance system using national claim data.
Methods:
We used two databases, one from the Korea Disease Control and Prevention Agency, which contains flu vaccination records for the elderly, and another from the National Health Insurance Service, which contains the claim data of vaccinated people. We developed a casecrossover design based machine learning model to predict the health outcome of interest events (anaphylaxis and agranulocytosis) using a random forest. Feature importance values were evaluated to determine candidate associations with each outcome. We investigated the relationship of the features to each event via a literature review, comparison with the Side Effect Resource, and using the Local Interpretable Model-agnostic Explanation method.
Results:
The trained model predicted each health outcome of interest with a high accuracy (approximately 70%). We found literature supporting our results, and most of the important drug-related features were listed in the Side Effect Resource database as inducing the health outcome of interest. For anaphylaxis, flu vaccination ranked high in our feature importance analysis and had a positive association in Local Interpretable Model-Agnostic Explanation analysis. Although the feature importance of vaccination was lower for agranulocytosis, it also had a positive relationship in the Local Interpretable Model-Agnostic Explanation analysis.
Conclusion
We developed a machine learning-based active surveillance system for detecting possible factors that can induce adverse events using health claim and vaccination databases. The results of the study demonstrated a potentially useful application of two linked national health record databases. Our model can contribute to the establishment of a system for conducting active surveillance on vaccination.
7.Public Preferences for Allocation Principles for Scarce Medical Resources in the COVID-19 Pandemic in Korea: Comparisons With Ethicists’ Recommendations
Ji-Su LEE ; Soyun KIM ; Young Kyung DO
Journal of Preventive Medicine and Public Health 2021;54(5):360-369
Objectives:
The purpose of this study was to investigate public preferences regarding allocation principles for scarce medical resources in the coronavirus disease 2019 (COVID-19) pandemic, particularly in comparison with the recommendations of ethicists.
Methods:
An online survey was conducted with a nationally representative sample of 1509 adults residing in Korea, from November 2 to 5, 2020. The degree of agreement with resource allocation principles in the context of the medical resource constraints precipitated by the COVID-19 pandemic was examined. The results were then compared with ethicists’ recommendations. We also examined whether the perceived severity of COVID-19 explained differences in individual preferences, and by doing so, whether perceived severity helps explain discrepancies between public preferences and ethicists’ recommendations.
Results:
Overall, the public of Korea agreed strongly with the principles of “save the most lives,” “Koreans first,” and “sickest first,” but less with “random selection,” in contrast to the recommendations of ethicists. “Save the most lives” was given the highest priority by both the public and ethicists. Higher perceived severity of the pandemic was associated with a greater likelihood of agreeing with allocation principles based on utilitarianism, as well as those promoting and rewarding social usefulness, in line with the opinions of expert ethicists.
Conclusions
The general public of Korea preferred rationing scarce medical resources in the COVID-19 pandemic predominantly based on utilitarianism, identity and prioritarianism, rather than egalitarianism. Further research is needed to explore the reasons for discrepancies between public preferences and ethicists’ recommendations.
8.Machine Learning Approach for Active Vaccine Safety Monitoring
Yujeong KIM ; Jong-Hwan JANG ; Namgi PARK ; Na-Young JEONG ; Eunsun LIM ; Soyun KIM ; Nam-Kyong CHOI ; Dukyong YOON
Journal of Korean Medical Science 2021;36(31):e198-
Background:
Vaccine safety surveillance is important because it is related to vaccine hesitancy, which affects vaccination rate. To increase confidence in vaccination, the active monitoring of vaccine adverse events is important. For effective active surveillance, we developed and verified a machine learning-based active surveillance system using national claim data.
Methods:
We used two databases, one from the Korea Disease Control and Prevention Agency, which contains flu vaccination records for the elderly, and another from the National Health Insurance Service, which contains the claim data of vaccinated people. We developed a casecrossover design based machine learning model to predict the health outcome of interest events (anaphylaxis and agranulocytosis) using a random forest. Feature importance values were evaluated to determine candidate associations with each outcome. We investigated the relationship of the features to each event via a literature review, comparison with the Side Effect Resource, and using the Local Interpretable Model-agnostic Explanation method.
Results:
The trained model predicted each health outcome of interest with a high accuracy (approximately 70%). We found literature supporting our results, and most of the important drug-related features were listed in the Side Effect Resource database as inducing the health outcome of interest. For anaphylaxis, flu vaccination ranked high in our feature importance analysis and had a positive association in Local Interpretable Model-Agnostic Explanation analysis. Although the feature importance of vaccination was lower for agranulocytosis, it also had a positive relationship in the Local Interpretable Model-Agnostic Explanation analysis.
Conclusion
We developed a machine learning-based active surveillance system for detecting possible factors that can induce adverse events using health claim and vaccination databases. The results of the study demonstrated a potentially useful application of two linked national health record databases. Our model can contribute to the establishment of a system for conducting active surveillance on vaccination.
9.Public Preferences for Allocation Principles for Scarce Medical Resources in the COVID-19 Pandemic in Korea: Comparisons With Ethicists’ Recommendations
Ji-Su LEE ; Soyun KIM ; Young Kyung DO
Journal of Preventive Medicine and Public Health 2021;54(5):360-369
Objectives:
The purpose of this study was to investigate public preferences regarding allocation principles for scarce medical resources in the coronavirus disease 2019 (COVID-19) pandemic, particularly in comparison with the recommendations of ethicists.
Methods:
An online survey was conducted with a nationally representative sample of 1509 adults residing in Korea, from November 2 to 5, 2020. The degree of agreement with resource allocation principles in the context of the medical resource constraints precipitated by the COVID-19 pandemic was examined. The results were then compared with ethicists’ recommendations. We also examined whether the perceived severity of COVID-19 explained differences in individual preferences, and by doing so, whether perceived severity helps explain discrepancies between public preferences and ethicists’ recommendations.
Results:
Overall, the public of Korea agreed strongly with the principles of “save the most lives,” “Koreans first,” and “sickest first,” but less with “random selection,” in contrast to the recommendations of ethicists. “Save the most lives” was given the highest priority by both the public and ethicists. Higher perceived severity of the pandemic was associated with a greater likelihood of agreeing with allocation principles based on utilitarianism, as well as those promoting and rewarding social usefulness, in line with the opinions of expert ethicists.
Conclusions
The general public of Korea preferred rationing scarce medical resources in the COVID-19 pandemic predominantly based on utilitarianism, identity and prioritarianism, rather than egalitarianism. Further research is needed to explore the reasons for discrepancies between public preferences and ethicists’ recommendations.
10.Epidemiologic features of pediatric genital injury in emergency departments in Korea
Jae Yun JUNG ; Kyungseok PARK ; Se Uk LEE ; Joong Wan PARK ; Young Ho KWAK ; Do Kyun KIM ; Jin Hee LEE ; Hyuksool KWON ; Jin Hee JUNG ; Dongbum SUH ; Soyun HWANG ; Ha Ni LEE
Pediatric Emergency Medicine Journal 2021;8(2):87-94
Purpose:
Genital injury is a common pediatric injury. Given the lack of nationwide data, the authors aimed to show age group-related epidemiologic features of genital injury in Korea.
Methods:
We reviewed the data from 2011-2016 Emergency Department-based Injury In-depth Surveillance registry, which involves 23 emergency departments in Korea. From the dataset, we included children (< 18 years) with the International Classification of Diseases, 10th Revision codes related to genital injury as the final diagnosis with excluding those with other codes or combined injuries. Age groups were defined as follows; infants (< 1 year), toddlers (1-3), preschoolers (4-6), schoolers (7-12), and adolescents (13-17). The clinical features and outcomes were analyzed.
Results:
A total of 3,030 children were included with the median age of 6 years (interquartile range, 4-10) and the proportion of girls of 53.0%. Only 144 children (4.8%) were transported by the emergency medical service providers. The most common mechanism and place were blunt injury (1,826 [60.3%]) and home (1,535 [50.7%]), respectively. Of the codes, “Contusion of external genital organs (S30.2)” was most common (1,574 [51.9%]). As for outcomes, 2,770 children (91.4%) were discharged, 252 (8.3%) were hospitalized (intensive care units, 1 child [0.03%]), and 108 (3.6%) underwent surgery. Severe injury occurred in 111 children (3.7%) without a mortality. With increasing age in the age groups, non-accidental injury, school and sports-related injuries, hospitalization, and surgery (All Ps < 0.001).
Conclusion
Genital injury may occur at evening, in spring and summer, at home, and in the form of accidental or blunt injury. Most children are discharged. Contrary to these general features, older children tend to undergo more frequently non-accidental injury, school and sports-related injuries, hospitalization, and surgery. Thus, we need age-specific strategies for injury prevention.

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