Publications by authors named "Dong-Jin Park"
Background: Recent studies have shown the impact of obesity on achieving low disease activity or remission in rheumatoid arthritis (RA) patients treated with tumor necrosis factor inhibitors. However, there is limited research on the effects of obesity on clinical responses to non-TNF-targeted treatments.
Objectives: This study investigated the influence of body mass index (BMI) on clinical response to non-TNF-targeted treatments in RA patients.
Immune checkpoint blockade (ICB) has become a standard anti-cancer treatment, offering durable clinical benefits. However, the limited response rate of ICB necessitates biomarkers to predict and modulate the efficacy of the therapy. The gut microbiome's influence on ICB efficacy is of particular interest due to its modifiability through various interventions.
View Article and Find Full Text PDFObjective: This study aims to determine whether the concurrent presence of tubulointerstitial inflammation (TII) and tubulointerstitial damage (TID) predicts the progression of chronic kidney disease (CKD) in patients with lupus nephritis (LN).
Methods: Data from 175 LN patients, collected at the time of renal biopsy, were analyzed. Patients were stratified into two groups based on the presence or absence of coexisting TII/TID.
Uncomplicated cystitis is a leading form of bacterial UTI; the most common causative bacterium worldwide is . This internet-based, prospective, multicenter, and national observational study aimed to report the antimicrobial resistance of in patients with uncomplicated cystitis through the use of the Korean Antimicrobial Resistance Monitoring System (KARMS) in 2023. Data for a total of 654 patients were retrieved from the KARMS database.
View Article and Find Full Text PDFBackground: This study aimed to understand the collective impact of trace elements, vitamins, cholesterol, and prealbumin on patient outcomes in the intensive care unit (ICU) using an advanced artificial intelligence (AI) model for mortality prediction.
Methods: Data from ICU patients (December 2016 to December 2021), including serum levels of trace elements, vitamins, cholesterol, and prealbumin, were retrospectively analyzed using AI models. Models employed included category boosting (CatBoost), extreme gradient boosting (XGBoost), light gradient boosting machine (LGBM), and multilayer perceptron (MLP).
Mouse gut microbiome research is pivotal for understanding the human gut microbiome, providing insights into disease modeling, host-microbe interactions, and the dietary influence on the gut microbiome. To enhance the translational value of mouse gut microbiome studies, we need detailed and high-quality catalogs of mouse gut microbial genomes. We introduce the Mouse Reference Gut Microbiome (MRGM), a comprehensive catalog with 42,245 non-redundant mouse gut bacterial genomes across 1,524 species.
View Article and Find Full Text PDFBackground: Transanal minimally invasive surgery (TAMIS) is widely used for rectal lesion excision. Robot-assisted TA TAMIS (R-TAMIS) may improve surgical ergonomics. The introduction of the da Vinci Single-Port (SP) robot, designed for endoluminal surgery, has brought new possibilities.
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- The study focuses on developing an AI model to predict mortality in pneumonia patients using initial laboratory test results, an area often overlooked in medical AI research.
- Various machine learning models were evaluated, with the ensemble model achieving the best performance (AUROC = 0.9006, accuracy = 0.90), indicating a significant improvement in prediction accuracy.
- Key laboratory results, such as systolic blood pressure and serum glucose levels, were identified as important risk factors for pneumonia mortality.
Article Synopsis
- - A study evaluated the effectiveness of bone turnover markers (BTMs) and demographic factors in diagnosing osteoporosis through a sample of 280 participants, including 88 with osteoporosis and 192 controls.
- - Six machine learning models were tested, with the light gradient boosting machine (LGBM) achieving the best performance, showing an AUROC of 0.706 and an improved F1-score of 0.65 after optimization.
- - The research indicated that BTMs, along with age and sex, are significant contributors to osteoporosis diagnosis, suggesting that machine learning can leverage this data for better early detection and management of the disease.
Introduction: Pneumatosis cystoides intestinalis (PCI) is a rare condition characterized by multiple gas-filled cysts in the gastrointestinal tract and is associated with numerous conditions. Benign PCI can occur secondary to certain medications, such as anticancer-targeted therapies. Here, we report a rare case of PCI that developed following sunitinib therapy for metastatic RCC and was successfully managed with conservative treatment without surgery.
View Article and Find Full Text PDFImmunogenic cell death (ICD) holds the potential for in situ tumor vaccination while concurrently eradicating tumors and stimulating adaptive immunity. Most ICD inducers, however, elicit insufficient immune responses due to negative feedback against ICD biomarkers, limited infiltration of antitumoral immune cells, and the immunosuppressive tumor micro-environment (TME). Recent findings highlight the pivotal roles of stimulators of interferon gene (STING) activation, particularly in stimulating antigen-presenting cells (APCs) and TME reprogramming, addressing ICD limitations.
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- - This study focused on the link between alcohol consumption and osteoarthritis (OA) severity in a Korean population using Mendelian randomization to explore whether this relationship is causal.
- - It analyzed data from 2,429 participants, revealing that men with the G/G genotype for the ALDH2 gene tended to consume more alcohol and exhibited higher scores for knee and hand joint deterioration compared to those with other genotypes.
- - The findings indicated a significant association in men, where each additional daily drink correlated with increased severity of joint issues, while similar effects were not observed in women.
Article Synopsis
- The study focuses on developing an artificial intelligence model to classify peripheral blood images for diagnosing acute leukemia (AL), which includes acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL).
- Researchers collected 42,386 cell images from 282 patients and found that the ensemble model using EfficientNet-V1 and EfficientNet-V2 achieved high accuracy and performance in classifying 12 different cell types.
- The developed model could significantly improve rapid and accurate leukemia diagnosis in healthcare settings, particularly for myeloblasts and lymphoblasts, which are critical in assessing the disease.
Objective: This study aimed to assess the efficacy and safety of intravenous ramosetron for pain relief in patients with fibromyalgia (FM) unresponsive to conventional treatments.
Methods: In this prospective, double-blind, placebo-controlled trial, 80 FM patients were randomly allocated to receive either placebo (n = 40) or ramosetron (n = 40) at a dosage of 0.3 mg/day intravenously for five consecutive days.
Objective: Modern healthcare systems face challenges related to the stable and sufficient blood supply of blood due to shortages. This study aimed to predict the monthly blood transfusion requirements in medical institutions using an artificial intelligence model based on national open big data related to transfusion.
Methods: Data regarding blood types and components in Korea from January 2010 to December 2021 were obtained from the Health Insurance Review and Assessment Service and Statistics Korea.
Article Synopsis
- - This study investigates Petersen's hernia, which can occur after specific types of stomach surgeries, and compares two methods for preventing bowel obstruction caused by this hernia: the conventional defect closure method and the newer mesenteric fixation method.
- - Conducted as a randomized controlled trial in Korea, the research includes patients with diagnosed gastric cancer who have undergone certain types of surgical anastomosis and aims to determine the effectiveness of each method in preventing bowel obstruction over a three-year period.
- - Results from this trial are expected to provide valuable insights on the efficacy and safety of the mesenteric fixation method, potentially establishing it as a superior technique for closing Petersen's defects.
Comparison of Short-Term Outcomes and Safety Profiles between Androgen Deprivation Therapy+Abiraterone/Prednisone and Androgen Deprivation Therapy+Docetaxel in Patients with Metastatic Hormone-Sensitive Prostate Cancer.
World J Mens Health
July 2024
Article Synopsis
- The study compared the effectiveness and safety of two treatments for metastatic hormone-sensitive prostate cancer (mHSPC): androgen-deprivation therapy (ADT) combined with abiraterone/prednisone versus ADT combined with docetaxel.
- It analyzed data from 928 patients in South Korea, specifically focusing on 122 patients who received either treatment, assessing various factors like demographic characteristics, cancer status, and treatment outcomes.
- Results showed that the ADT+abiraterone/prednisone group had a significantly lower rate of prostate-specific antigen (PSA) progression and a lower rate of treatment discontinuation compared to the ADT+docetaxel group, indicating it may be more effective, although further research is
Article Synopsis
- * A total of 44 BPH patients were treated with α1-adrenergic blockers and 5α-reductase inhibitors, showing a significant decrease in total prostate volume (TPV) over 3 and 6 months, but no notable change in RIs of major arteries.
- * The findings suggest a correlation between changes in TPV and RIs specifically in the left capsular artery after 3 months, but further research is needed to clarify the relationship between these variables in larger patient groups.
Root-knot nematodes (RKN), spp., are plant-parasitic nematodes that are responsible for considerable economic losses worldwide, because of the damage they cause to numerous plant species and the inadequate biological agents available to combat them. Therefore, developing novel and eco-friendly nematicides is necessary.
View Article and Find Full Text PDFObjective: To investigate the effects of the serum HCQ concentration on clinical manifestations, disease activity and organ damage in a longitudinal cohort of SLE patients.
Methods: The 338 SLE patients were assessed with respect to their demographic data, clinical and laboratory findings, Physician's Global Assessment (PGA), adjusted mean SLEDAI-2000 (AMS) and SLICC Damage Index (SDI) annually for 5 consecutive years. Patients were divided into two groups according to their serum HCQ concentration at baseline: subtherapeutic (<500 ng/ml) and therapeutic (≥500 ng/ml) groups.
Background: Non-Coronavirus disease 2019 (COVID-19) pneumonia and COVID-19 have similar clinical features but last for different periods, and consequently, require different treatment protocols. Therefore, they must be differentially diagnosed. This study uses artificial intelligence (AI) to classify the two forms of pneumonia using mainly laboratory test data.
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- - The research developed an AI model to predict early mortality in COVID-19 patients by analyzing initial chest X-ray images and electronic health records, enabling better resource allocation during the pandemic.
- - Various AI techniques, including convolutional neural networks and machine learning algorithms, were combined into an ensemble model that achieved a strong predictive performance (F1 score of 0.77 and area under the curve of 0.8698).
- - The study emphasizes the importance of specific lab tests in understanding COVID-19 mortality and suggests that early predictions can improve patient management and treatment decisions significantly.
Article Synopsis
- * The most common primary treatment was androgen deprivation therapy (ADT), with a significant number receiving radical prostatectomy (RP) or radiation therapy; younger patients tended to undergo RP, showing better overall health and less advanced cancer.
- * Multivariate analyses identified age, performance status, and prostate-specific antigen levels as key prognostic factors, with maximal androgen blockade (MAB) being the most prevalent treatment, particularly the leuprolide plus bicalutamide regimen.
Objective: The aim of this study was to define the clinical, histopathologic, and prognostic features associated with simultaneous positivity for anti-dsDNA, -nucleosome, and -histone antibodies (3-pos) in Korean patients with biopsy-proven lupus nephritis (LN).
Methods: The 102 patients included in the study had undergone kidney biopsy prior to the start of induction treatment, were treated with immunosuppressives, and followed-up for >12 months.
Results: In total, 44 (43.