1.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
2.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
3.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
4.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
5.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
6.Identifying pregnancy episodes and estimating the last menstrual period using an administrative database in Korea: an application to patients with systemic lupus erythematosus
Yu-Seon JUNG ; Yeo-Jin SONG ; Jihyun KEUM ; Ju Won LEE ; Eun Jin JANG ; Soo-Kyung CHO ; Yoon-Kyoung SUNG ; Sun-Young JUNG
Epidemiology and Health 2024;46(1):e2024012-
OBJECTIVES:
This study developed an algorithm for identifying pregnancy episodes and estimating the last menstrual period (LMP) in an administrative claims database and applied it to investigate the use of pregnancy-incompatible immunosuppressants among pregnant women with systemic lupus erythematosus (SLE).
METHODS:
An algorithm was developed and applied to a nationwide claims database in Korea. Pregnancy episodes were identified using a hierarchy of pregnancy outcomes and clinically plausible periods for subsequent episodes. The LMP was estimated using preterm delivery, sonography, and abortion procedure codes. Otherwise, outcome-specific estimates were applied, assigning a fixed gestational age to the corresponding pregnancy outcome. The algorithm was used to examine the prevalence of pregnancies and utilization of pregnancy-incompatible immunosuppressants (cyclophosphamide [CYC]/mycophenolate mofetil [MMF]/methotrexate [MTX]) and non-steroidal anti-inflammatory drugs (NSAIDs) during pregnancy in SLE patients.
RESULTS:
The pregnancy outcomes identified in SLE patients included live births (67%), stillbirths (2%), and abortions (31%). The LMP was mostly estimated with outcome-specific estimates for full-term births (92.3%) and using sonography procedure codes (54.7%) and preterm delivery diagnosis codes (37.9%) for preterm births. The use of CYC/MMF/MTX decreased from 7.6% during preconception to 0.2% at the end of pregnancy. CYC/MMF/MTX use was observed in 3.6% of women within 3 months preconception and 2.5% during 0-7 weeks of pregnancy.
CONCLUSIONS
This study presents the first pregnancy algorithm using a Korean administrative claims database. Although further validation is necessary, this study provides a foundation for evaluating the safety of medications during pregnancy using secondary databases in Korea, especially for rare diseases.
7.Corrigendum: Korean treatment recommendations for patients with axial spondyloarthritis
Mi Ryoung SEO ; Jina YEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Seong-Ryul KWON ; Seong-Kyu KIM ; Tae-Jong KIM ; Tae-Hwan KIM ; Hye Won KIM ; Min-Chan PARK ; Kichul SHIN ; Sang-Hoon LEE ; Eun Young LEE ; Hoon Suk CHA ; Seung Cheol SHIM ; Youngim YOON ; Seung Ho LEE ; Jun Hong LIM ; Han Joo BAEK ;
Journal of Rheumatic Diseases 2024;31(1):62-63
8.Evaluation of the antimalarial activity of SAM13-2HCl with morpholine amide (SKM13 derivative) against antimalarial drug-resistant Plasmodium falciparum and Plasmodium berghei infected ICR mice
Hyelee HONG ; Kwonmo MOON ; Thuy-Tien Thi TRINH ; Tae-Hui EOM ; Hyun PARK ; Hak Sung KIM ; Seon-Ju YEO
Parasites, Hosts and Diseases 2024;62(1):42-52
Antimalarial drugs are an urgently need and crucial tool in the campaign against malaria, which can threaten public health. In this study, we examined the cytotoxicity of the 9 antimalarial compounds chemically synthesized using SKM13-2HCl. Except for SKM13-2HCl, the 5 newly synthesized compounds had a 50% cytotoxic concentration (CC50) > 100 µM, indicating that they would be less cytotoxic than SKM13-2HCl. Among the 5 compounds, only SAM13-2HCl outperformed SKM13-2HCl for antimalarial activity, showing a 3- and 1.3-fold greater selective index (SI) (CC50/IC50) than SKM13-2HCl in vitro against both chloroquine-sensitive (3D7) and chloroquine -resistant (K1) Plasmodium falciparum strains, respectively. Thus, the presence of morpholine amide may help to effectively suppress human-infectious P. falciparum parasites. However, the antimalarial activity of SAM13-2HCl was inferior to that of the SKM13-2HCl template compound in the P. berghei NK65-infected mouse model, possibly because SAM13-2HCl had a lower polarity and less efficient pharmacokinetics than SKM13-2HCl. SAM13-2HCl was more toxic in the rodent model. Consequently, SAM13-2HCl containing morpholine was selected from screening a combination of pharmacologically significant structures as being the most effective in vitro against human-infectious P. falciparum but was less efficient in vivo in a P. berghei-infected animal model when compared with SKM13-2HCl. Therefore, SAM13-2HCl containing morpholine could be considered a promising compound to treat chloroquine-resistant P. falciparum infections, although further optimization is crucial to maintain antimalarial activity while reducing toxicity in animals.
9.Korean treatment recommendations for patients with axial spondyloarthritis
Mi Ryoung SEO ; Jina YEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Seong-Ryul KWON ; Seong-Kyu KIM ; Tae-Jong KIM ; Tae-Hwan KIM ; Hye Won KIM ; Min-Chan PARK ; Kichul SHIN ; Sang-Hoon LEE ; Eun Young LEE ; Hoon Suk CHA ; Seung Cheol SHIM ; Youngim YOON ; Seung Ho LEE ; Jun Hong LIM ; Han Joo BAEK ;
The Korean Journal of Internal Medicine 2024;39(1):200-200
10.Prediction of Postoperative Lung Function in Lung Cancer Patients Using Machine Learning Models
Oh Beom KWON ; Solji HAN ; Hwa Young LEE ; Hye Seon KANG ; Sung Kyoung KIM ; Ju Sang KIM ; Chan Kwon PARK ; Sang Haak LEE ; Seung Joon KIM ; Jin Woo KIM ; Chang Dong YEO
Tuberculosis and Respiratory Diseases 2023;86(3):203-215
Background:
Surgical resection is the standard treatment for early-stage lung cancer. Since postoperative lung function is related to mortality, predicted postoperative lung function is used to determine the treatment modality. The aim of this study was to evaluate the predictive performance of linear regression and machine learning models.
Methods:
We extracted data from the Clinical Data Warehouse and developed three sets: set I, the linear regression model; set II, machine learning models omitting the missing data: and set III, machine learning models imputing the missing data. Six machine learning models, the least absolute shrinkage and selection operator (LASSO), Ridge regression, ElasticNet, Random Forest, eXtreme gradient boosting (XGBoost), and the light gradient boosting machine (LightGBM) were implemented. The forced expiratory volume in 1 second measured 6 months after surgery was defined as the outcome. Five-fold cross-validation was performed for hyperparameter tuning of the machine learning models. The dataset was split into training and test datasets at a 70:30 ratio. Implementation was done after dataset splitting in set III. Predictive performance was evaluated by R2 and mean squared error (MSE) in the three sets.
Results:
A total of 1,487 patients were included in sets I and III and 896 patients were included in set II. In set I, the R2 value was 0.27 and in set II, LightGBM was the best model with the highest R2 value of 0.5 and the lowest MSE of 154.95. In set III, LightGBM was the best model with the highest R2 value of 0.56 and the lowest MSE of 174.07.
Conclusion
The LightGBM model showed the best performance in predicting postoperative lung function.

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