Background: Respiratory infections play a major role in acute exacerbation of chronic obstructive pulmonary disease (AECOPD). This study assessed the prevalence of bacterial and viral pathogens and their clinical impact on patients with AECOPD. Methods: This retrospective study included 1,186 patients diagnosed with AECOPD at 28 hospitals in South Korea between 2015 and 2018. We evaluated the identification rates of pathogens, basic patient characteristics, clinical features, and the factors associated with infections by potentially drug-resistant (PDR) pathogens using various microbiological tests. Results: Bacteria, viruses, and both were detected in 262 (22.1%), 265 (22.5%), and 129 (10.9%) of patients, respectively. The most common pathogens included Pseudomonas aeruginosa (17.8%), Mycoplasma pneumoniae (11.2%), Streptococcus pneumoniae (9.0%), influenza A virus (19.0%), rhinovirus (15.8%), and respiratory syncytial virus (6.4%). Notably, a history of pulmonary tuberculosis (odds ratio [OR], 1.66; p=0.046), bronchiectasis (OR, 1.99; p=0.032), and the use of a triple inhaler regimen within the past 6 months (OR, 2.04; p=0.005) were identified as significant factors associated with infection by PDR pathogens. Moreover, patients infected with PDR pathogens exhibited extended hospital stays (15.9 days vs. 12.4 days, p=0.018) and higher intensive care unit admission rates (15.9% vs. 9.5%, p=0.030). Conclusion This study demonstrates that a variety of pathogens are involved in episodes of AECOPD. Nevertheless, additional research is required to confirm their role in the onset and progression of AECOPD.

Selecting the optimal surgical treatment for multilevel cervical spondylotic myelopathy and radiculopathy significantly affects symptom improvement, postoperative prognosis, and quality of life. Proper patient selection and precise surgical execution are crucial for achieving successful outcomes, considering the favorable natural course of cervical radiculopathy. Several factors must be considered, including the number of affected segments, spinal alignment, kyphosis degree, stiffness, and surgeon expertise, when determining the surgical approach for cervical spondylotic myelopathy. An anterior approach is commonly used in cases that involve fewer than three segments with mild kyphosis, whereas posterior laminoplasty or anterior cervical discectomy and fusion (ACDF) are effective for cases with more than three segments with maintained lordosis. Both the degree of stiffness and spinal cord compression need to be considered for cases with kyphotic deformity. ACDF may be suitable when anterior structures are the primary source of compression and mild kyphosis is present. The decision between laminoplasty or laminectomy and fusion depends on the kyphosis degree for multilevel compression with kyphosis. An evaluation of cervical rigidity is required for severe kyphosis, and posterior laminectomy and fusion may be effective for flexible kyphosis, whereas a staged posterior–anterior–posterior approach may be required for rigid kyphosis to address both deformity and neural compression. This review summarizes recent research and presents illustrative cases of optimal surgical decision-making for various cervical spondylotic radiculopathy and myelopathy presentations.

A histone deacetylase SIRT6 regulates the transcription of various genes involved in lipid metabolism. Fatty acid (FA) oxidation plays a pivotal role in maintaining hepatic lipid homeostasis, and its dysregulation significantly contributes to lipotoxicity and inflammation, driving the progression of steatotic liver disease. While SIRT6 is known to activate peroxisome proliferator-activated receptor-alpha (PPARα), a central regulator of FA oxidation, the development of SIRT6 activators capable of enhancing FA oxidation and mitigating steatotic liver disease has yet to be achieved. This study evaluated the effect of MDL-800, a selective SIRT6 activator, on the expression of PPARα and genes related to FA oxidation. In AML12 mouse hepatocytes, MDL-800 treatment activated SIRT6 but unexpectedly decreased the expression of PPARα and its FA oxidation-associated target genes. Furthermore, OSS128167, a selective SIRT6 inhibitor, did not reverse the suppressive effects of MDL-800 on PPARα, suggesting that MDL-800 downregulates PPARα and FA oxidation-related genes through a mechanism independent of SIRT6 activation. Mechanistic investigations revealed that MDL-800 increased the production of reactive oxygen species and activated stress kinases. The inhibition of PPARα by MDL-800 was reversed by co-treatment with the antioxidant N-acetylcysteine or the JNK inhibitor SP600125.In summary, MDL-800 suppresses PPARα and FA oxidation-related genes primarily through the induction of oxidative stress in hepatocytes, independent of its role as a SIRT6 activator.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

Objectives: . A substantial proportion of patients with head and neck cancer (HNC) require emergency room (ER) visits or unplanned hospitalizations during or after treatment with various modalities. We investigated HNC cases that necessitated ER visitation after cancer treatment, aiming to identify potential risk factors in the context of the Korean healthcare system. Methods: . This single-center cohort study examined patients with HNC who received cancer treatments at Samsung Medical Center in 2019 (n=566). Treatment modalities included surgery alone (n=184), surgery and adjuvant therapy (n=138), curative non-surgical treatment such as radiation or chemoradiation (n=209), and palliative treatments (n=35). We followed these cases for up to 3 years, focusing on those who visited the ER during or after cancer treatment, and analyzed the primary reasons and risk factors associated with these visits. Results: . The ER visitation rate was 8.0% (n=45) among patients with HNC, with a total of 70 ER visits (12.4%; mean, 1.56; range, 1–4). The rate of treatment-related ER visitation was 4.6%. Common reasons for ER visits included surgical site or wound complications (31.1% of patients visiting the ER, 22.9% of ER visits) and issues with oral intake or feeding (22.2% of patients, 31.4% of visits). Significant risk factors for ER visits included tumor subsite (with hypopharyngeal cancer associated with a 17.9% rate of treatment-related ER visits), tumor stage (T2–4, 8.6%–12.2%; N+ status, 6.7%), and treatment modality (surgery with adjuvant chemoradiation, 19.4%). Patient age and comorbidities did not represent significant factors. Conclusion . The most frequent reasons for ER visits among patients with HNC included complications with wounds and feeding. Additionally, tumor characteristics and treatment modality were independent risk factors for ER visits. Adequate planning and management to address these issues could potentially decrease the number of ER visits, lower costs, and improve patient care.

Background/Aims: Inaccurate prediction of lymph node metastasis (LNM) may lead to unnecessary surgery following endoscopic resection of T1 colorectal cancer (CRC). We aimed to validate the usefulness of artificial intelligence (AI) models for predicting LNM in patients with T1 CRC. Methods: We analyzed the clinical data, laboratory results, pathological reports, and endoscopic findings of patients who underwent radical surgery for T1 CRC. We developed AI models to predict LNM using four algorithms: regularized logistic regression classifier (RLRC), random forest classifier (RFC), CatBoost classifier (CBC), and the voting classifier (VC). Four histological factors and four endoscopic findings were included to develop AI models. Areas under the receiver operating characteristics curves (AUROCs) were measured to distinguish AI model performance in accordance with the Japanese Society for Cancer of the Colon and Rectum guidelines. Results: Among 1,386 patients with T1 CRC, 173 patients (12.5%) had LNM. The AUROC values of the RLRC, RFC, CBC, and VC models for LNM prediction were significantly higher (0.673, 0.640, 0.679, and 0.677, respectively) than the 0.525 suggested in accordance with the Japanese Society for Cancer of the Colon and Rectum guidelines (vs RLRC, p<0.001; vs RFC, p=0.001; vs CBC, p<0.001; vs VC, p<0.001). The AUROC value was similar between T1 colon versus T1 rectal cancers (0.718 vs 0.615, p=0.700). The AUROC value was also similar between the initial endoscopic resection and initial surgery groups (0.581 vs 0.746, p=0.845). Conclusions AI models trained on the basis of endoscopic findings and pathological features performed well in predicting LNM in patients with T1 CRC regardless of tumor location and initial treatment method.

Background/Aims: The study investigated the incidence, risk factors, and clinical outcomes of chronic antibiotic-refractory pouchitis (CARP) in Korean patients with ulcerative colitis (UC). Methods: This single-center retrospective study included patients with UC who underwent total proctocolectomy with ileal pouch-anal anastomosis at the Asan Medical Center in Korea between January 1987 and December 2022. The primary outcomes were endoscopic remission and pouch failure. The Cox’s proportional hazard model was used to identify the risk factors for CARP. Results: The clinical data of 232 patients were analyzed. The most common cause of surgery was steroid refractoriness (50.9%), followed by dysplasia/colorectal cancer (26.7%). Among 74 patients (31.9%) with chronic pouchitis (CP), 31 (13.4%) had CARP, and 43 (18.5%) had chronic antibiotic-dependent pouchitis (CADP). The most frequent endoscopic phenotype was focal inflammation of the pouch (CP, 47.3%; CARP, 35.5%; CADP, 55.8%). Patients with CARP were less likely to use concomitant probiotics than patients with CADP (29.0% vs 72.1%, p<0.01). The endoscopic remission rate of CP, CARP, and CADP was 14.9%, 9.7%, and 18.6%, respectively.The pouch failure rate associated with CP, CARP, and CADP was 13.5%, 16.1%, and 11.6%, respectively. Current smoking status (adjusted hazard ratio [aHR], 2.96; 95% confidence interval [CI], 1.27 to 6.90; p=0.01) and previous use of biologics/small molecules (aHR, 2.40; 95% CI, 1.05 to 5.53; p=0.04) were significantly associated with CARP development. Conclusions UC patients who were current smokers and previously used biologics/small molecules had a higher risk of developing CARP. Concomitant use of probiotics was less likely to be associated with CARP development.

Background/Aims: We investigated the incidences of overall and site-specific malignancies and chemopreventive effects of statin, metformin, and aspirin in patients with ulcerative colitis. Methods: We collected data using the Health Insurance Review and Assessment claims database from January 2007 to April 2020. Results: The overall malignancy risk among the 35,189 ulcerative colitis patients was similar to that of the general population (standardized incidence ratio, 0.94; 95% confidence interval, 0.88–1.00). In male patients, standardized incidence ratios were high for thyroid cancer and low for stomach cancer, colorectal cancer, liver cancer, and lung cancer. Concurrently, standard incidence ratios were high for liver cancer and central nervous system cancer in female patients. While 122 cases of colorectal cancer occurred in the study patients, the standardized incidence ratio was 0.83 (95% confidence interval, 0.69–0.99). Treatment for ulcerative colitis was not associated with an increased adjusted hazard ratio, while comorbidities increased it for all malignancies. Treatment for ulcerative colitis was associated with an increased adjusted hazard ratio, while comorbidities did not increase it for colorectal cancer. After adjusting for age, sex, comorbidities, and ulcerative colitis treatment, statins showed a dose-dependent chemopreventive effect for all malignancies (P=0.002), while metformin and aspirin did not show any. Conclusions In ulcerative colitis patients, standardized incidence ratios for all malignancies and colorectal cancer did not increase. Adjusted hazard ratios for all malignancies increased with comorbidities and those for colorectal cancer with ulcerative colitis treatment. Statins have a dose-dependent chemopreventive effect for all malignancies.