1.Postoperative Readmission Is Associated With Worse Oncologic Outcomes After Radical Cystectomy for Bladder Cancer: A Multicenter Study of 3,972 Patients
Jungwon PARK ; Jong Ho PARK ; Sangchul LEE ; Seung-Hwan JEONG ; Ja Hyeon KU ; Kyung Hwan KIM ; Jong Kil NAM ; Bumjin LIM ; BumSik HONG ; Wook NAM ; Sung Gu KANG ; Seok Ho KANG ; Tae Gyun KWON ; Tae-Hwan KIM ; Jieun HEO ; Won Sik HAM ; Geehyun SONG ; Ho Kyung SEO ; Wan SONG ; Hyun Hwan SUNG ; Byong Chang JEONG ; Jong Jin OH
Journal of Urologic Oncology 2026;24(1):69-78
Purpose:
Radical cystectomy (RC) is associated with substantial postoperative morbidity, and unplanned readmission remains common despite advances in perioperative management. However, the association between postoperative readmission due to complications and oncologic outcomes after RC for bladder cancer has not been clearly defined. We evaluated the impact of postoperative readmission on overall survival (OS) and cancer-specific survival (CSS) after RC for bladder cancer.
Materials and Methods:
We retrospectively analyzed 3,972 patients who underwent RC for bladder cancer in a multicenter cohort. Postoperative readmission was defined as unplanned hospitalization within 90 days postsurgery due to surgery-related complications. Survival outcomes were assessed using the Kaplan-Meier method and compared using the log-rank test. Univariable and multivariable Cox proportional hazards regression analyses were performed to identify independent predictors of OS and CSS.
Results:
Among the study population, 916 patients (23.1%) experienced postoperative readmission. Baseline and perioperative characteristics were generally comparable between patients with and without readmission. Kaplan-Meier analyses demonstrated significantly worse OS and CSS among patients who experienced postoperative readmission (both log-rank p<0.001). In multivariable analyses adjusting for clinicopathological factors, postoperative readmission remained independently associated with worse OS (hazard ratio [HR], 1.654; 95% confidence interval [CI], 1.464–1.868; p<0.001) and CSS (HR, 1.761; 95% CI, 1.509–2.055; p<0.001).
Conclusion
Postoperative readmission within 90 days after RC was independently associated with inferior long-term oncologic outcomes. These findings suggest the importance of strategies aimed at preventing postoperative complications and subsequent readmission.
2.Seroprevalence of Hepatitis A Virus (HAV) in Korean Plasmapheresis Donors
JungWon KANG ; Ji Yeong SEON ; Deuk Yeong KO ; Taeeun KIM ; Jaehyun KIM ; Nam-Sun CHO ; Kyoung Young CHOI
Korean Journal of Blood Transfusion 2025;36(3):134-142
Background:
Hepatitis A is an acute type of hepatitis caused by the hepatitis A virus (HAV), which is mainly transmitted through the fecal-oral route and also rarely through blood transfusion. Studies on the seroprevalence of HAV immunoglobulin G in blood donors are necessary to predict the risk of releasing HAV infected blood products during epidemic and to establish effective transfusion recipient safety strategies. However, studies on the seroprevalence of HAV IgG in Korean blood donors have been rare.
Methods:
Blood samples from 10,000 plasmapheresis donors collected from 6th March to 23rd May 2024, were tested for the HAV IgG and analyzed based on age, region, and gender. The test was performed by chemiluminescence microparticle immunoassay on an Alinity i system (Abbott Laboratories, Lake Forest, IL, USA).
Results:
The overall seroprevalence of HAV IgG was 57.6% (5,759/10,000) for the research subjects. Significant differences between age cohorts or gender were found (16∼19 years, 65.6%; 20∼29 years, 65.5%; 30∼39 years, 28.4%; 40∼49 years, 41.5%; 50∼59 years, 82.6%; >60 years, 97.9% and Men, 59.6%; Women, 51.5%). However, there was no significant difference according to region.
Conclusion
To prepare for a potential outbreak of HAV, it is recommended that HAV vaccination be prioritized for Korean blood donors in their 30s and 40s, alongside the continued surveillance of HAV IgG seroprevalence among them.
3.Management and Collection of Occupational Data for Health (ODH) in National Public Health Statistics: Evaluation and Recommendations for Korea
Dong-Uk PARK ; Kyung Ehi ZOH ; Yun-Keun LEE ; Hoekyeong SEO ; Sangjun CHOI ; Dong-Hee KOH ; Jin-Ha YOON ; Kanwoo YOUN ; Mo-Yeol KANG ; Eun Suk CHOI ; Jungwon KIM ; Yangho KIM ; Domyung PAEK
Safety and Health at Work 2025;16(1):60-68
Background:
The aims of this study are to examine how occupation-related data and information for health (ODH) are collected and managed from census-based surveys and potential occupational illness and injuries (POIS) statistics, and to propose a national strategy for the systematic collection, analysis, and management of ODH by building on the Korean Standard Classification of Occupation (KSCO) and using a job exposure matrix (JEM).
Methods:
The status of the collection and management of ODH registered as national statistics, drawn not only from the census-based general population and workforce, but also from POIS statistics was reviewed and evaluated.
Results:
ODH from the Republic of Korea's Census of Population and Labor Force are collected and classified according to the KSCO. In contrast, national statistics on POIS are not systematically collected for KSCO coding, reflecting the lack of an KSCO and related guidelines on how to collect ODH. Key frameworks for the construction of both an KSCO and a reference JEM for public health surveillance are proposed.
Conclusions
Further research is needed to develop a national system for collecting and managing ODH, which will ultimately contribute to the use of a national KSCO and the construction of JEM for public health surveillance.
4.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
5.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
6.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
7.Effectiveness of Malaria Antibody Test for Screening Blood Donors
Jungwon KANG ; Jaehyun KIM ; Jaesook LEE ; Deuk Yeong KO ; Hwang Min KIM ; Kyoung Young CHOI
Korean Journal of Blood Transfusion 2023;34(1):21-25
The Republic of Korea has been using malaria antibody assays to screen blood donors and reduce the risk of transfusion-transmitted malaria (TTM). This study examined the effectiveness of the current malaria antibody test for screening blood donors and calculated the positive predictive value (PPV) with the real-time polymerase chain reaction (RT-PCR) as the reference. The reactive rate and PPV of the malaria antibody screening assay during particular period from 2020 to 2021 were 0.82% (248/30,309) and 0.40% (1/248), respectively. The low PPV of current malaria antibody screening in blood donors suggests that the effectiveness of this test is limited in terms of balancing blood safety and supply in low-prevalence situations.
8.Inflammatory Markers and Brain Volume in Patients with Post-traumatic Stress Disorder
Chaeyeon YANG ; Kang-Min CHOI ; Jungwon HAN ; Hyang Sook KIM ; Sang-Shin PARK ; Seung-Hwan LEE
Clinical Psychopharmacology and Neuroscience 2023;21(2):359-369
Objective:
Posttraumatic stress disorder (PTSD) is characterized by increased inflammatory processing and altered brain volume. In this study, we investigated the relationship between inflammatory markers and brain volume in patients with PTSD.
Methods:
Forty-five patients with PTSD, and 70 healthy controls (HC) completed clinical assessments and self-reported psychopathology scales. Factors associated with inflammatory responses including brain-derived neurotrophic factor and four inflammatory biomarkers (C-reactive protein, cortisol, Interleukin-6, and homocysteine) and T1-magnetic resonance imaging of the brain were measured.
Results:
In the PTSD group, cortisol level was significantly lower (t = 2.438, p = 0.046) than that of the HC. Cortisol level was significantly negatively correlated with the left thalamus proper (r = −0.369, p = 0.035), right thalamus proper (r = −0.394, p = 0.014), right frontal pole (r = −0.348, p = 0.039), left occipital pole (r = −0.338, p = 0.044), and right superior occipital gyrus (r = −0.397, p = 0.008) in patients with PTSD. However, these significant correlations were not observed in HC.
Conclusion
Our results indicate that increased cortisol level, even though its average level was lower than that of HC, is associated with smaller volumes of the thalamus, right frontal pole, left occipital pole, and right superior occipital gyrus in patients with PTSD. Cortisol, a major stress hormone, might be a reliable biomarker to brain volumes and pathophysiological pathways in patients with PTSD.
9.Analysis of HCV Genotype with Low Titer of HCV RNA Using the Methods of Concentration
JungWon KANG ; Jae-won KANG ; Dae Ho KO ; Miae YOUN ; So-Yong KWON
Korean Journal of Blood Transfusion 2021;32(1):43-48
Analysis of HCV genotypes can help identify infection routes and the development of treatment methods. However, in some samples with a low titer of HCV RNA, it is difficult to analyze their genotypes. In our previous study about HCV genotyping, we could not identify 12 cases among the 175 HCV NAT reactive samples due to their low titer. In this study, we adopted three different kinds of virus concentration methods to identify the genotypes of the 12 unidentified cases and compared their efficacy. The three virus concentration methods were automatic nucleic acid extraction, polyethyleneimine-magnetic bead-based extraction, and sucrose cushion ultracentrifugation. After virus concentration using every three methods, we analyzed HCV RNA genotypes using the concentrated sample of the best efficacy. Among the 12 cases, six were identified as 1b, four as mixed types, and two were unidentified. Here we could validate that the sample concentration method is useful to identify the HCV genotypes, especially in samples with low HCV RNA titers. Furthermore, considering the convenience, high efficacy, and time-saving, automatic nucleic acid extraction is considered the most useful concentration method for samples with titer lower than 50 IU/mL.
10.Analysis of Malaria Nucleic Acid Amplification Test Under the Temporary Permission in Malaria Blood Donation Restricted Area
JungWon KANG ; JaeSook LEE ; Dae Ho KO ; Jae-won KANG ; Yu Soek JUNG ; Miae YOUN
Korean Journal of Blood Transfusion 2021;32(2):123-128
There were 10 cases of transfusion-transmitted P. vivax malaria from 1990 to 2021. The Korean Centers for Disease Control and Prevention (KCDC) designated the areas showing a high frequency of malaria as a malaria-endemic area and has restricted whole blood donation from these areas. While the number of malaria infections has declined in recent years, the blood inventory has declined sharply due to the COVID-19 pandemic. Accordingly, the Ministry of Health and Welfare temporarily approved the donation of whole blood from malaria-endemic areas to secure the supply of blood products. In the present study, an anti-malaria screening and nucleic acid amplification test (NAT) was performed on samples collected from the malaria-endemic areas from May 20 to June 30, 2020. A total of 14,741 samples were collected and tested. NAT was performed for 1096 runs to test all the collected samples. The 117 (0.79%) samples showed initial reactive results due to the contamination of abnormal PCR results. Negative results were obtained for the samples showing initial reactive results using a duplicated re-test. From the NAT tests, no sample showed a true positive result. The results of the malaria antibody screening test were reactive in 10 out of the 14,741 samples. The malaria antibody screening needs to be reviewed through further study because of its insufficient sensitivity and specificity. According to this study, excluding the 10 reactive malaria antibodies, additional blood components could be secured from 14,731 blood donors for a stable blood supply.

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