Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objective: This study investigated whether the discrepancy between desired time in bed and desired total sleep time (DBST) index could be a meaningful indicator for assessing insomnia severity in a clinical sample of patients with insomnia. Furthermore, we sought to identify the mediators of the association between DBST and insomnia severity in individuals with insomnia. Methods: We collected the medical records of 127 patients with insomnia. Each participant’s DBST index was calculated using sleep indices, including time and duration variables. Psychological symptoms were investigated using the Insomnia Severity Index (ISI), Patients Health Questionnaire-9 items (PHQ-9), Generalized Anxiety Disorder-7, Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), and Epworth Sleepiness Scale. Results: The DBST index was significantly correlated with the ISI (r=0.20, p<0.05), desired total sleep time (r=-0.52, p<0.001), and desired time in bed (r=0.32, p<0.01). Linear regression analysis revealed that insomnia severity was associated with age (β=-0.18, p=0.018), DBST (β=0.23, p=0.003), PHQ-9 (β=0.23, p=0.031), and DBAS-16 (β=0.42, p<0.001). The DBST directly influenced insomnia severity, although indirect effects of mediators were not significant. Conclusion The DBST index directly influenced insomnia severity regardless of the mediating effects of psychological factors among a clinical sample of patients with insomnia. This finding implies that the DBST index can be a simple measure of insomnia severity, even among patients with insomnia.

Objectives: Agent Orange is a defoliant chemical that is widely known for its use by the U.S. military during the Vietnam War. It is known to be associated with the occurrence of various diseases in exposed subjects. However, few previous studies have focused on the effects of exposure to Agent Orange on cognitive dysfunction. Methods: A total of 387 male subjects participated in the study. They were divided into those who were exposed to Agent Orange (n=301) and those without exposure (n=86). Both were evaluated with neuropsychological batteries, including the Consortium to Establish a Registry for Alzheimer’s Disease and the Seoul Neuropsychological Screening Battery-Second Edition. Results: The group exposed to Agent Orange showed significantly higher scores in the Rey Complex Figure Test copy and recognition compared to those without exposure. Conclusion In this study, we compared the effects of exposure to Agent Orange on cognitive function in groups that had not yet progressed to dementia. The Agent Orange exposure group showed better results in some tests evaluating visuospatial and memory function.

Objective: Among veterans, the prevalence of rapid eye movement sleep behavior disorder (RBD) is higher than among the general population, and some evidence suggests that this is related to post-traumatic stress disorder (PTSD). The purpose of this study was to determine whether the frequency of RBD differs depending on the presence of PTSD or trauma. Methods: Patients who underwent nocturnal polysomnography (PSG) and sleep-related questionnaire surveys at the Veteran Health Service Medical Center were reviewed retrospectively. Based on patients with PTSD (n=20; 100% male; 67.9±8.5 years of age), we matched patients exposed to trauma without PTSD (n23; 100% male; age 64.0±13.4) and patients without trauma (n=21; 100% male; age 59.86±10.9). Results: PTSD patients reported dream enactment behavior more than the trauma-exposed group without PTSD or the control group (p=0.006). After adjusting for age, there were more RBD patients in the PTSD group than in the trauma exposed group (p=0.049). Conclusion The results showed that RBD occurred significantly more in veterans with PTSD than those exposed to trauma, which suggests that there may be a pathophysiological association between PTSD and RBD.

Objective: To identify the factors affecting anger in post-traumatic stress disorder (PTSD) patients who underwent Clinician-Administered PTSD Scale (CAPS) and Minnesota Multiphasic Personality Inventory-2 (MMPI-2). Methods: We retrospectively reviewed patients who underwent CAPS and MMPI-2 at Veteran Health Service Medical Center, Seoul, Korea. Based on the CAPS score, the patients were divided into the PTSD group (n=46) and the trauma exposed without PTSD group (n=29). After checking the correlation between anger, CAPS, and MMPI-2 scales, logistic regression analysis was performed to identify the risk factors for clinically relevant symptoms. Results: The PTSD group showed significant differences in schizophrenia-related symptoms, ideas of persecution, aggressiveness, psychoticism, and anger scales compared to the trauma-exposed without PTSD group. There was a significant correlation between anger, CAPS, and MMPI-2 except masculinity/femininity, disconstraint, and MacAndrew Alcoholism-Revised. In particular, anger has been shown to have a substantial connection with paranoia, schizophrenia-related symptoms, ideas of persecution, aberrant experiences, and psychoticism. Multiple regression analysis identified that the only significant risk factor for anger was the negative emotionalityeuroticism scale (odds ratio=1.152, p<0.001). Conclusion The PTSD group had increased anger compared to the trauma-exposed without PTSD group, and that negative emotions may be a risk factor for PTSD.

Pulmonary arteriovenous fistula can occur in a variety of clinical situations including liver diseases, infections, metastatic carcinomas, systemic disorders, and after the palliation of congenital heart diseases. A 72-day-old male infant with Tetralogy of Fallot and pulmonary atresia underwent surgical correction without difficulty. However, ventilator weaning in the ICU failed initially because of an unexplained postoperative hypoxemia(FiO2: 0.8, PaO2: 40 mmHg, SaO2: 80~90%). Postoperative follow-up lung perfusin scan at postoperative 15 days showed right-to-left shunt(33.6%) and ventilator weaning was performed on the 20th day after the operation (FiO2: 0.4, PaO2, 50mmHg, SaO2: 86.9%). Arterial oxygen saturation under room air was 80~85% at 7 months postoperatively. One and half year follow-up lung perfusion scan showed decreased amount of right-to-left shunt (11.2%). We report a case with a review of the literatures.
Arteriovenous Fistula* ; Follow-Up Studies ; Heart Diseases ; Humans ; Infant ; Liver Diseases ; Lung ; Male ; Oxygen ; Perfusion ; Pulmonary Atresia ; Tetralogy of Fallot* ; Ventilator Weaning

Primary malignant lymphomas of the lung are rare neoplasms representing 3.6% of all extranodal lymphomas and less than 1% of pulmonary malignancies, with its distinct clinicopathological features. A 60-year-old symptomatic man, who was a former non-smoker, had a cough and sputum. Chest roentgenogram and computed tomographic scan showed the presence of a posterior mass in the basal segment of the right lung. Transthoracic needle aspiration cytology was inadequate for the diagnosis of cancer. A subsequent right thoracotomy was carried out, which showed a primary pulmonary lymphoma of the bronchus-associated lymphoid tissue.
Cough ; Diagnosis ; Humans ; Lung ; Lung Neoplasms ; Lymphoid Tissue* ; Lymphoma* ; Middle Aged ; Needles ; Sputum ; Thoracotomy ; Thorax

Methods: This study analyzed 350 Korean adults who were diagnosed with bipolar disorder and prescribed mood-stabilizing drugs. The patients were divided into two groups—patients who experienced cognitive side effects and those who did not experience cognitive side effects.We also compared the demographic and clinical characteristics between both groups. Results: The number of patients with an untreated illness longer than 1 year was higher in the group of patients who experienced cognitive side effects compared to the group of patients who did not experience cognitive side effects. Further, the number of patients with manic symptoms at onset was higher in the group of patients who experienced cognitive side effects compared to the group of patients who did not experience cognitive side effects. In addition, the proportion of patients in remission was higher in the group of patients who experienced cognitive side effects compared to the group of patients who experienced no cognitive side effects. However, there was no significant difference regarding the type of mood stabilizer used between the groups. On the other hand, more people experienced cognitive side effects as the valproic acid dosage increased. Conclusion Our findings suggest that there are clinical and demographic differences between people who experienced cognitive side effects and those who did not experience cognitive side effects due to prescription of mood stabilizers.