1.Clinical Profiles of Multidrug-Resistant and Rifampicin-Monoresistant Tuberculosis in Korea, 2018–2021: A Nationwide Cross-Sectional Study
Jinsoo MIN ; Yousang KO ; Hyung Woo KIM ; Hyeon-Kyoung KOO ; Jee Youn OH ; Doosoo JEON ; Taehoon LEE ; Young-Chul KIM ; Sung Chul LIM ; Sung Soon LEE ; Jae Seuk PARK ; Ju Sang KIM
Tuberculosis and Respiratory Diseases 2025;88(1):159-169
Background:
This study aimed to identify the clinical characteristics of multidrug-resistant/ rifampicin-resistant tuberculosis (MDR/RR-TB) in the Republic of Korea.
Methods:
Data of notified people with tuberculosis between July 2018 and December 2021 were retrieved from the Korea Tuberculosis Cohort database. MDR/RR-TB was further categorized according to isoniazid susceptibility as follows: multidrug-resistant tuberculosis (MDR-TB), rifampicin-monoresistant tuberculosis (RMR-TB), and RR-TB if susceptibility to isoniazid was unknown. Multivariable logistic regression analysis was conducted to identify the factors associated with MDR/RR-TB.
Results:
Between 2018 and 2021, the proportion of MDR/RR-TB cases among all TB cases and TB cases with known drug susceptibility test results was 2.1% (502/24,447). The proportions of MDR/RR-TB and MDR-TB cases among TB cases with known drug susceptibility test results were 3.3% (502/15,071) and 1.9% (292/15,071), respectively. Among all cases of rifampicin resistance, 31.7% (159/502) were RMR-TB and 10.2% (51/502) were RR-TB. Multivariable logistic regression analyses revealed that younger age, foreigners, and prior tuberculosis history were significantly associated with MDR/ RR-TB.
Conclusion
Rapid identification of rifampicin resistance targeting the high-risk populations, such as younger generations, foreign-born individuals, and previously treated patients are necessary for patient-centered care.
3.Clinical Profiles of Multidrug-Resistant and Rifampicin-Monoresistant Tuberculosis in Korea, 2018–2021: A Nationwide Cross-Sectional Study
Jinsoo MIN ; Yousang KO ; Hyung Woo KIM ; Hyeon-Kyoung KOO ; Jee Youn OH ; Doosoo JEON ; Taehoon LEE ; Young-Chul KIM ; Sung Chul LIM ; Sung Soon LEE ; Jae Seuk PARK ; Ju Sang KIM
Tuberculosis and Respiratory Diseases 2025;88(1):159-169
Background:
This study aimed to identify the clinical characteristics of multidrug-resistant/ rifampicin-resistant tuberculosis (MDR/RR-TB) in the Republic of Korea.
Methods:
Data of notified people with tuberculosis between July 2018 and December 2021 were retrieved from the Korea Tuberculosis Cohort database. MDR/RR-TB was further categorized according to isoniazid susceptibility as follows: multidrug-resistant tuberculosis (MDR-TB), rifampicin-monoresistant tuberculosis (RMR-TB), and RR-TB if susceptibility to isoniazid was unknown. Multivariable logistic regression analysis was conducted to identify the factors associated with MDR/RR-TB.
Results:
Between 2018 and 2021, the proportion of MDR/RR-TB cases among all TB cases and TB cases with known drug susceptibility test results was 2.1% (502/24,447). The proportions of MDR/RR-TB and MDR-TB cases among TB cases with known drug susceptibility test results were 3.3% (502/15,071) and 1.9% (292/15,071), respectively. Among all cases of rifampicin resistance, 31.7% (159/502) were RMR-TB and 10.2% (51/502) were RR-TB. Multivariable logistic regression analyses revealed that younger age, foreigners, and prior tuberculosis history were significantly associated with MDR/ RR-TB.
Conclusion
Rapid identification of rifampicin resistance targeting the high-risk populations, such as younger generations, foreign-born individuals, and previously treated patients are necessary for patient-centered care.
4.Clinical Profiles of Multidrug-Resistant and Rifampicin-Monoresistant Tuberculosis in Korea, 2018–2021: A Nationwide Cross-Sectional Study
Jinsoo MIN ; Yousang KO ; Hyung Woo KIM ; Hyeon-Kyoung KOO ; Jee Youn OH ; Doosoo JEON ; Taehoon LEE ; Young-Chul KIM ; Sung Chul LIM ; Sung Soon LEE ; Jae Seuk PARK ; Ju Sang KIM
Tuberculosis and Respiratory Diseases 2025;88(1):159-169
Background:
This study aimed to identify the clinical characteristics of multidrug-resistant/ rifampicin-resistant tuberculosis (MDR/RR-TB) in the Republic of Korea.
Methods:
Data of notified people with tuberculosis between July 2018 and December 2021 were retrieved from the Korea Tuberculosis Cohort database. MDR/RR-TB was further categorized according to isoniazid susceptibility as follows: multidrug-resistant tuberculosis (MDR-TB), rifampicin-monoresistant tuberculosis (RMR-TB), and RR-TB if susceptibility to isoniazid was unknown. Multivariable logistic regression analysis was conducted to identify the factors associated with MDR/RR-TB.
Results:
Between 2018 and 2021, the proportion of MDR/RR-TB cases among all TB cases and TB cases with known drug susceptibility test results was 2.1% (502/24,447). The proportions of MDR/RR-TB and MDR-TB cases among TB cases with known drug susceptibility test results were 3.3% (502/15,071) and 1.9% (292/15,071), respectively. Among all cases of rifampicin resistance, 31.7% (159/502) were RMR-TB and 10.2% (51/502) were RR-TB. Multivariable logistic regression analyses revealed that younger age, foreigners, and prior tuberculosis history were significantly associated with MDR/ RR-TB.
Conclusion
Rapid identification of rifampicin resistance targeting the high-risk populations, such as younger generations, foreign-born individuals, and previously treated patients are necessary for patient-centered care.
5.Explainability Enhanced Machine Learning Model for Classifying Intellectual Disability and AttentionDeficit/Hyperactivity Disorder With Psychological Test Reports
Tong Min KIM ; Young-Hoon KIM ; Sung-Hee SONG ; In-Young CHOI ; Dai-Jin KIM ; Taehoon KO
Journal of Korean Medical Science 2025;40(11):e26-
Background:
Psychological test reports are essential in assessing intellectual functioning, aiding in diagnosing and treating intellectual disability (ID) and attention-deficit/ hyperactivity disorder (ADHD). However, these reports can have several problems because they are diverse, unstructured, subjective, and involve human errors. Additionally, physicians often do not read the entire report, and the number of reports is lower than that of diagnoses.
Methods:
We developed explainable predictive models for classifying IDs and ADHDs based on written reports to address these issues. The reports of 1,475 patients with IDs and ADHDs who underwent intelligence tests were used for the models. These models were developed by analyzing reports using natural language processing (NLP) and incorporating the physician’s diagnosis for each report. We selected n-gram features from the models’ results by extracting important features using SHapley Additive exPlanations and permutation importance to make the models explainable. Developing the n-gram feature-based original text search system compensated for the lack of human readability caused by NLP and enabled the reconstruction of human-readable texts from the selected n-gram features.
Results:
The maximum model accuracy was 0.92, and the 80 human-readable texts were restored from four models.
Conclusion
The results showed that the models could accurately classify IDs and ADHDs, even with a few reports. The models were also able to explain their predictions. The explainability-enhanced model can help physicians understand the classification process of IDs and ADHDs and provide evidence-based insights.
6.Childhood Diarrheal Diseases in North Korea: A Narrative Review on Research Topics and Treatments
Taehoon KIM ; Jieun JEON ; Hyungsoon AHN ; Jin Soo MOON
Journal of Korean Medical Science 2025;40(19):e70-
Background:
Diarrheal disease accounts for a large proportion of childhood deaths in North Korea, however, information regarding its management in North Korean clinical settings is limited. The absence of a reliable diarrheal disease database hinders efforts to determine priorities for support.
Methods:
Articles published in three major North Korean medical journals between 2012 and 2019 were analyzed to determine the clinical aspects of diagnosing and treating diarrhea. A total of 43 articles were identified during the screening process. Original articles and case reports focusing on the clinical features of diarrheal disease in the pediatric population were included.
Results:
The clinical features and markers of several types of diarrheal diseases, including infectious diarrhea (20.9%) and diarrhea due to indigestion or malabsorption (18.6%), were assessed. Healthcare providers used multiple treatment modalities, including rehydration solutions, antibiotics, probiotics, and vitamin supplementation. Therapeutic trials on North Korean Oriental medicine were also conducted in more than half of the studies (55.8%).
Conclusion
This review provides insights into understanding the types of diarrhea and unmet needs in clinical settings in North Korea. Follow-up studies are required to interpret the situation in detail.
7.Rhabdoid Tumor Predisposition Syndrome : A Comprehensive Review of Genetics, Clinical Manifestations, and Management
Journal of Korean Neurosurgical Society 2025;68(3):311-320
Rhabdoid tumor predisposition syndrome (RTPS) is a rare autosomal dominant disorder characterized by an increased risk of developing malignant rhabdoid tumors in early childhood. This syndrome is primarily caused by germline heterozygous loss-of-function pathogenic variants in the SMARCB1 gene (RTPS1) and rarely in the SMARCA4 gene (RTPS2). RTPS is characterized by the development of atypical teratoid rhabdoid tumors of the central nervous system, malignant rhabdoid tumors of the kidney, and/or extrarenal extracranial rhabdoid tumors. The syndrome demonstrates high penetrance, with most tumors developing before age 3 years, and carries a poor prognosis despite intensive multimodal therapy. Early diagnosis through genetic testing, implementation of surveillance protocols, and aggressive treatment approaches are crucial for improving outcomes. This review comprehensively examines the genetic basis, clinical manifestations, surveillance strategies, and current management approaches for RTPS, with particular emphasis on emerging therapeutic options and the importance of multidisciplinary care.
8.Explainability Enhanced Machine Learning Model for Classifying Intellectual Disability and AttentionDeficit/Hyperactivity Disorder With Psychological Test Reports
Tong Min KIM ; Young-Hoon KIM ; Sung-Hee SONG ; In-Young CHOI ; Dai-Jin KIM ; Taehoon KO
Journal of Korean Medical Science 2025;40(11):e26-
Background:
Psychological test reports are essential in assessing intellectual functioning, aiding in diagnosing and treating intellectual disability (ID) and attention-deficit/ hyperactivity disorder (ADHD). However, these reports can have several problems because they are diverse, unstructured, subjective, and involve human errors. Additionally, physicians often do not read the entire report, and the number of reports is lower than that of diagnoses.
Methods:
We developed explainable predictive models for classifying IDs and ADHDs based on written reports to address these issues. The reports of 1,475 patients with IDs and ADHDs who underwent intelligence tests were used for the models. These models were developed by analyzing reports using natural language processing (NLP) and incorporating the physician’s diagnosis for each report. We selected n-gram features from the models’ results by extracting important features using SHapley Additive exPlanations and permutation importance to make the models explainable. Developing the n-gram feature-based original text search system compensated for the lack of human readability caused by NLP and enabled the reconstruction of human-readable texts from the selected n-gram features.
Results:
The maximum model accuracy was 0.92, and the 80 human-readable texts were restored from four models.
Conclusion
The results showed that the models could accurately classify IDs and ADHDs, even with a few reports. The models were also able to explain their predictions. The explainability-enhanced model can help physicians understand the classification process of IDs and ADHDs and provide evidence-based insights.
9.Childhood Diarrheal Diseases in North Korea: A Narrative Review on Research Topics and Treatments
Taehoon KIM ; Jieun JEON ; Hyungsoon AHN ; Jin Soo MOON
Journal of Korean Medical Science 2025;40(19):e70-
Background:
Diarrheal disease accounts for a large proportion of childhood deaths in North Korea, however, information regarding its management in North Korean clinical settings is limited. The absence of a reliable diarrheal disease database hinders efforts to determine priorities for support.
Methods:
Articles published in three major North Korean medical journals between 2012 and 2019 were analyzed to determine the clinical aspects of diagnosing and treating diarrhea. A total of 43 articles were identified during the screening process. Original articles and case reports focusing on the clinical features of diarrheal disease in the pediatric population were included.
Results:
The clinical features and markers of several types of diarrheal diseases, including infectious diarrhea (20.9%) and diarrhea due to indigestion or malabsorption (18.6%), were assessed. Healthcare providers used multiple treatment modalities, including rehydration solutions, antibiotics, probiotics, and vitamin supplementation. Therapeutic trials on North Korean Oriental medicine were also conducted in more than half of the studies (55.8%).
Conclusion
This review provides insights into understanding the types of diarrhea and unmet needs in clinical settings in North Korea. Follow-up studies are required to interpret the situation in detail.
10.Rhabdoid Tumor Predisposition Syndrome : A Comprehensive Review of Genetics, Clinical Manifestations, and Management
Journal of Korean Neurosurgical Society 2025;68(3):311-320
Rhabdoid tumor predisposition syndrome (RTPS) is a rare autosomal dominant disorder characterized by an increased risk of developing malignant rhabdoid tumors in early childhood. This syndrome is primarily caused by germline heterozygous loss-of-function pathogenic variants in the SMARCB1 gene (RTPS1) and rarely in the SMARCA4 gene (RTPS2). RTPS is characterized by the development of atypical teratoid rhabdoid tumors of the central nervous system, malignant rhabdoid tumors of the kidney, and/or extrarenal extracranial rhabdoid tumors. The syndrome demonstrates high penetrance, with most tumors developing before age 3 years, and carries a poor prognosis despite intensive multimodal therapy. Early diagnosis through genetic testing, implementation of surveillance protocols, and aggressive treatment approaches are crucial for improving outcomes. This review comprehensively examines the genetic basis, clinical manifestations, surveillance strategies, and current management approaches for RTPS, with particular emphasis on emerging therapeutic options and the importance of multidisciplinary care.

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