Background: Alcoholic liver disease (ALD) includes a wide clinical spectrum from acute alcoholic hepatitis to severe cirrhosis and/or hepatocellular carcinoma. Until now, there has been no report revealing the bleeding tendency of ALD compared to other diseases in liver transplantation (LT). Thus, we analyzed blood loss and transfusion amounts during operation according to the etiologies of liver disease and model for end-stage liver disease (MELD) score. Methods: Out of 874 recipients who underwent LT, a total of 146 patients were excluded by our exclusion criteria. We compared 728 recipients’ baseline characteristics, operation time, blood loss, and transfusion amounts between ALD and nonALD according to MELD score. Results: The number of patients in the ALD group was 130 (17.9%), and 598 (82.1%) in the non-ALD group. The ALD group showed younger age, higher MELD score, and a higher proportion of deceased donor LT than the non-ALD group. Intraoperative blood loss and transfusions of red blood cells (RBCs), fresh frozen plasma, and platelets were significantly higher in the ALD group. When stratified by MELD score (cut-off: 20), ALD patients in both high and low MELD subgroups demonstrated greater blood loss and RBC transfusion requirements, even when international normalized ratio and platelet counts were similar. In multivariate logistic regression analysis, ALD was a significant risk factor for massive transfusion (odds ratio 1.813, 95% confidence interval 1.158–2.840, p=0.009). Conclusion The ALD group showed increased bleeding tendency than the non-ALD group during LT, irrespective of MELD score. This suggests that transplant surgeons should anticipate greater blood loss and ensure adequate transfusion resources during LT for ALD patients.

Background and Objectives: The aim of this study was to compare adherence to positive airway pressure (PAP) therapy in patients with obstructive sleep apnea (OSA) of different severity.Subjects and Method We conducted a retrospective study including 270 adult OSA patients who used a PAP device for at least 3 months. We assessed the percentage of days on which the device was used, the percentage of days on which the device was used for ≥4 h, and the average duration of PAP device usage at 12 weeks of PAP therapy. We also evaluated adequate adherence to PAP therapy using a PAP device for ≥4 h/day and during ≥70% of nights. Results: The percentage of days on which a PAP device used did not differ significantly according to OSA severity (median [Q1-Q3]; mild: 91.40% [81.25%-97.65%], moderate: 94.50% [86.90%-100%], severe: 95.90% [88.10%-100%], p=0.268). We also found that the percentage of days on which a PAP device was used during sleep for ≥4 h was not significantly different in patients with different OSA severity (median [Q1-Q3], mild: 76.20% [69.70%-89.90%], moderate: 89.30% [67.65%-95.70%], severe: 85.70% [75.85%-95.45%], p=0.097). The percentage of patients with adequate PAP adherence did not differ significantly according to OSA severity (mild: 74.2%, moderate: 72.1%, severe: 83.0%, p=0.084). Moreover, the mean duration (minutes) of PAP device usage during sleep did not differ significantly according to OSA severity in the mild, moderate, and severe OSA groups (mean±standard deviation, mild: 348.03± 47.78 min, moderate: 358.58±85.22 min, severe: 363.79±57.21 min, p=0.440). Conclusion Adherence to PAP therapy did not differ significantly according to OSA severity. Therefore, it is necessary to continuously expand and maintain the insurance for health promotion in OSA patient in South Korea.

Purpose: This study aimed to identify prognostic factors based on treatment outcomes for congenital diaphragmatic hernia (CDH) at a single-center and to identify factors that may improve these outcomes. Methods: Thirty-five neonates diagnosed with CDH between January 2011 and December 2021 were retrospectively analyzed. Pre- and postnatal factors were correlated and analyzed with postnatal clinical outcomes to determine the prognostic factors. Highest oxygenation index (OI) within 24 hours of birth was also calculated. Treatment strategy and outcome analysis of published literatures were also performed. Results: Overall survival rate of this cohort was 60%. Four patients were unable to undergo anesthesia and/or surgery. Three patients who commenced extracorporeal membrane oxygenation (ECMO) post-surgery were non-survivors. Compared to the survivor group, the non-survivor group had a significantly higher occurrence of pneumothorax on the first day, need for high-frequency ventilator and inhaled nitric oxide use, and high OI within the first 24 hours. The non-survivor group showed an early trend towards the surgery timing and a greater number of patch closures. Area under the receiver operating characteristic curve was 0.878 with a sensitivity of 76.2% and specificity of 92.9% at an OI cutoff value of 7.75. Conclusion OI within 24 hours is a valuable predictor of survival. It is expected that the application of ECMO based on OI monitoring may help improve the opportunity for surgical repair, as well as the prognosis of CDH patients.

To investigate the adverse effects of clozapine on cardiovascular ion channels, we examined the inhibitory effect of clozapine on voltage-dependent K+(Kv) channels in rabbit coronary arterial smooth muscle cells. Clozapine-induced inhibition of Kv channels occurred in a concentration-dependent manner with an halfinhibitory concentration value of 7.84 ± 4.86 µM and a Hill coefficient of 0.47 ± 0.06.Clozapine did not shift the steady-state activation or inactivation curves, suggesting that it inhibited Kv channels regardless of gating properties. Application of train pulses (1 and 2 Hz) progressively augmented the clozapine-induced inhibition of Kv channels in the presence of the drug. Furthermore, the recovery time constant from inactivation was increased in the presence of clozapine, suggesting that clozapineinduced inhibition of Kv channels is use (state)-dependent. Pretreatment of a Kv1.5 subtype inhibitor decreased the Kv current amplitudes, but additional application of clozapine did not further inhibit the Kv current. Pretreatment with Kv2.1 or Kv7 subtype inhibitors partially blocked the inhibitory effect of clozapine. Based on these results, we conclude that clozapine inhibits arterial Kv channels in a concentrationand use (state)-dependent manner. Kv1.5 is the major subtype involved in clozapineinduced inhibition of Kv channels, and Kv2.1 and Kv7 subtypes are partially involved.

Venous thromboembolism (VTE), which includes pulmonary embolism and deep vein thrombosis, is a condition characterized by abnormal blood clot formation in the pulmonary arteries and the deep venous vasculature. It is often serious and sometimes even fatal if not promptly and appropriately treated. Moreover, the later consequences of VTE may result in reduced quality of life. The treatment of VTE depends on various factors, including the type, cause, and patient comorbidities. Furthermore, bleeding may occur as a side effect of VTE treatment. Thus, it is necessary to carefully weigh the benefits versus the risks of VTE treatment and to actively monitor patients undergoing treatment. Asian populations are known to have lower VTE incidences than Western populations, but recent studies have shown an increase in the incidence of VTE in Asia. A variety of treatment options are currently available owing to the introduction of direct oral anticoagulants.The current VTE treatment recommendation is based on evidence from previous studies, but it should be applied with careful consideration of the racial, genetic, and social characteristics in the Korean population.

Purpose: This study aimed to investigate whether a deep learning model for automated detection of unruptured intracranial aneurysms on time-of-flight (TOF) magnetic resonance angiography (MRA) can achieve a target diagnostic performance comparable to that of human radiologists for approval from the Korean Ministry of Food and Drug Safety as an artificial intelligence-applied software. Materials and Methods: In this single-center, retrospective, confirmatory clinical trial, the diagnostic performance of the model was evaluated in a predetermined test set. After sample size estimation, the test set consisted of 135 aneurysm-containing examinations with 168 intracranial aneurysms and 197 aneurysm-free examinations. The target sensitivity and specificity were set as 87% and 92%, respectively. The patient-wise sensitivity and specificity of the model were analyzed. Moreover, the lesion-wise sensitivity and false-positive detection rate per case were also investigated. Results: The sensitivity and specificity of the model were 91.11% [95% confidence interval (CI): 84.99, 95.32] and 93.91% (95% CI:89.60, 96.81), respectively, which met the target performance values. The lesion-wise sensitivity was 92.26%. The overall falsepositive detection rate per case was 0.123. Of the 168 aneurysms, 13 aneurysms from 12 examinations were missed by the model. Conclusion The present deep learning model for automated detection of unruptured intracranial aneurysms on TOF MRA achieved the target diagnostic performance comparable to that of human radiologists. With high standalone performance, this model may be useful for accurate and efficient diagnosis of intracranial aneurysm.

Thyroid tuberculosis with papillary thyroid carcinoma is very rare. The current study shows the case of a 67-year-old female who was admitted to Ansan Hospital of Korea University, with her thyroid nodules showing signs of malignancy under ultrasonography. A histopathological examination proved the coexistence of papillary thyroid carcinoma (PTC) and thyroid tuberculosis (TB). A total thyroidectomy and excision of the enlarged left neck level II lymph node were performed. This report presents a rare case of coexistence of PTC and thyroid TB. Further investigation is needed to evaluate the possible role of PTC in thyroid mycobacterial infection.

Background and Objectives: Vitamin D modulates immunity, including that of allergic diseases, and plays its roles through contact with vitamin D receptors (VDR). Recent studies have shown that patients with allergic rhinitis have low systemic serum vitamin D level. However, the expression of VDR in local tissue such as human nasal mucosa has not been investigated. Our study demonstrated that, in nasal mucosa of normal controls and patients with allergic rhinitis. Materials and Methods: Nasal mucosa were harvested from twenty-five patients who had normal nasal mucosa and twenty-five patients with allergic rhinitis. After the total RNA isolation, we performed reverse transcriptase-polymerase chain reaction, immunohistochemical staining and western blot analysis. Results: VDR were expressed in submucosal glands and the superficial layer of epithelial cell, and that inflammatory cells are expressed more highly in the nasal mucosa of patients with allergic rhinitis compared to those without. In the mucosa of patients with allergic rhinitis, VDR expression level was upregulated compared to that in normal nasal mucosa. Conclusion This findings suggest that VDR plays a role in the pathogenesis of allergic rhinitis. Additional research is needed to determine the mechanism and consequences of VDR upregulation.

Purpose: This study aimed to investigate whether a deep learning model for automated detection of unruptured intracranial aneurysms on time-of-flight (TOF) magnetic resonance angiography (MRA) can achieve a target diagnostic performance comparable to that of human radiologists for approval from the Korean Ministry of Food and Drug Safety as an artificial intelligence-applied software. Materials and Methods: In this single-center, retrospective, confirmatory clinical trial, the diagnostic performance of the model was evaluated in a predetermined test set. After sample size estimation, the test set consisted of 135 aneurysm-containing examinations with 168 intracranial aneurysms and 197 aneurysm-free examinations. The target sensitivity and specificity were set as 87% and 92%, respectively. The patient-wise sensitivity and specificity of the model were analyzed. Moreover, the lesion-wise sensitivity and false-positive detection rate per case were also investigated. Results: The sensitivity and specificity of the model were 91.11% [95% confidence interval (CI): 84.99, 95.32] and 93.91% (95% CI:89.60, 96.81), respectively, which met the target performance values. The lesion-wise sensitivity was 92.26%. The overall falsepositive detection rate per case was 0.123. Of the 168 aneurysms, 13 aneurysms from 12 examinations were missed by the model. Conclusion The present deep learning model for automated detection of unruptured intracranial aneurysms on TOF MRA achieved the target diagnostic performance comparable to that of human radiologists. With high standalone performance, this model may be useful for accurate and efficient diagnosis of intracranial aneurysm.

Thyroid tuberculosis with papillary thyroid carcinoma is very rare. The current study shows the case of a 67-year-old female who was admitted to Ansan Hospital of Korea University, with her thyroid nodules showing signs of malignancy under ultrasonography. A histopathological examination proved the coexistence of papillary thyroid carcinoma (PTC) and thyroid tuberculosis (TB). A total thyroidectomy and excision of the enlarged left neck level II lymph node were performed. This report presents a rare case of coexistence of PTC and thyroid TB. Further investigation is needed to evaluate the possible role of PTC in thyroid mycobacterial infection.