Objective: This study aimed to develop and validate a comprehensive self-report questionnaire to assess emotional and behavioral problems and psychological trauma in maltreated children. Methods: The Mental Health Scale for Maltreated Children (MHS-MC) was constructed to encompass five major symptoms (depression, anxiety, inattention/hyperactivity/impulsivity, aggression/defiance, and psychological trauma) prevalent in maltreated children. Critical items and ego-resilience subscale were also devised to increase clinical utility. After informed consent, 205 children (maltreated children, n=157, 76.6%) were recruited nationwide, and they answered a package of self-report measures, including the MHS-MC. Reliability, construct validity, concurrent validity, and criterion-related validity were examined to explore the psychometric properties. Results: The reliability was good to excellent. Confirmatory factor analysis yielded a five-factorial solution for the symptom subscales supporting construct validity. In logistic regression, the total scores of the MHS-MC predicted membership in the maltreated group. Criterion-related validity was generally satisfactory in that all subscales of the MHS-MC showed significant correlations with relevant measures in the expected direction. Conclusion This is the first attempt to develop a comprehensive psychological scale based on nationwide data collected from maltreated Korean children. We hope that the continued standardization of this scale will contribute to evidence-based clinical and policy decisionmaking for maltreated children.

Objective: The purpose of the present study was to identify adolescents’ suicide subgroups using five indicators (depression, anxiety, suicide ideation, and planned and attempted suicide), and explore the distinctive features of each subgroup. Methods: This study included 2,258 teenagers from four schools. Both adolescents and their parents, who voluntarily agreed to participate in the study, completed a series of self-reported questionnaires on depression, anxiety, suicide, self-harm, self-esteem, impulsivity, childhood maltreatment, and deviant behaviors. The data were analyzed using latent class analysis, a person-centered method. Results: Four classes were detected: “high risk for suicide without distress,” “high risk for suicide with distress,” “low risk for suicide with distress,” and “healthy.” The “high risk for suicide with distress” class was the most severe on all evaluated psychosocial risk factors, namely, impulsivity, low self-esteem, self-harming behaviours, deviant behaviour problems, and childhood maltreatment, followed by “high risk for suicide without distress.” Conclusion This study identified two high risk subgroups for adolescent’ suicidality, “high risk for suicide with or without distress.” Both high risk subgroups for suicide showed higher scores for all psychosocial risk factors than low risk subgroups for suicide. Our findings suggest that special attention needs to be paid to the latent class “high risk for suicide without distress,” as this group’s “cry for help” might be relatively difficult to detect. Specific interventions for each group (e.g., distress safety plans for “suicidal potential with or without emotional distress”) need to be developed and implemented.

BACKGROUND AND OBJECTIVES: Adequate evaluation of the upper airway is critical in the management of pediatric patients with stridor or extubation failure. For this purpose, we designed an evaluation protocol of the upper airway for these patients, in collaboration with Dept. of Pediatrics, Intensive care team and Anesthesiology. Here we present the clinical results of our evaluation protocol and provide information about the etiology and management of the upper airway problems. SUBJECTS AND METHOD: Clinical data of 380 pediatric patients (M:F=231:149) having airway evaluation for their problems (stridor or extubation failure) were retrospectively analyzed. Among them, patients of age less than 3 months ranked first (30.0%). Comorbidities of pulmonary diseases (30.8%) and cardiovascular diseases (29.5%) were found. The pre and post-evaluation diagnosis, management and prognosis were evaluated and the usefulness of an airway evaluation protocol was discussed. RESULTS: Frequent pre-evaluation diagnoses were subglottic stenosis (55.2%), laryngomalacia (12.6%) and tracheal stenosis (9.2%) and these were changed to subglottic stenosis (44.5%), laryngomalacia (9.7%), tracheal stenosis (6.6%) and no abnormality (14.5%). Particularly, 50% of pre-diagnosis laryngomalacia, 25% of subglottic stenosis and 37% of tracheal stenosis were corrected to other causes by airway evaluation. The procedures were exam only (41.6%), endoscopic dilatation (20.8%) and tracheostomy (17.9%). In 190 out of 380 (50.0%), extubation was successful, but 151 patients (39.7%) had tracheostomy tube. CONCLUSION: Adequate evaluation of the upper airway in pediatric patients with stridor or extubation failure can facilitate the diagnosis and management of their problems.
Anesthesiology ; Cardiovascular Diseases ; Comorbidity ; Constriction, Pathologic ; Cooperative Behavior ; Diagnosis ; Dilatation ; Humans ; Critical Care ; Laryngomalacia ; Lung Diseases ; Pediatrics ; Prognosis ; Respiratory Sounds* ; Retrospective Studies ; Tracheal Stenosis ; Tracheostomy

BACKGROUND: The number of elderly patients admitted to intensive care units (ICUs) is growing with the increasing proportion of elderly persons in the Korean general population. It is often difficult to make decisions about ICU care for elderly patients, especially when they are in their 90s. Data regarding the proportion of elderly patients in their 90s along with their clinical characteristics in ICU are scarce. METHODS: The records of Korean patients > or = 90 years old who were admitted to the medical ICU in a tertiary referral hospital between January 2005 and December 2014 were retrospectively reviewed. We compared the trend in ICU use and characteristics of these elderly patients between 2005-2009 and 2010-2014. RESULTS: Among 6,186 referred patients, 55 aged > or = 90 years were admitted to the medical ICU from 2005 to 2014. About 58.2% of these patients were male, and their mean age was 92.7 years. Their median Charlson comorbidity index score was 2 (IQR 1-3) and their mean APACHE II score was 25.0 (IQR 19.0-34.0). The most common reason for ICU care was acute respiratory failure. There were no differences in the survival rates between the earlier and more recent cohorts. However, after excluding patients who had specified "do not resuscitate" (DNR), the more recent group showed a significantly higher survival rate (53.8% mortality for the earlier group and 0% mortality for the recent group). Among the survivors, over half were discharged to their homes. More patients in the recent cohort (n=26 [78.8%]) specified DNR than in the earlier cohort (n=7 [35.0%], p=0.004). The number and proportion of patients > or = 90 years old among patients using ICU during the 2005-2014 study period did not differ. CONCLUSIONS: The use of ICU care by elderly patients > or = 90 years old was consistent from 2005-2014. The overall mortality rate tended to decrease, but this was not statistically significant. However, the proportion of patients specifying DNR was higher among more recent patients, and the recent group showed an even better survivorship after sensitivity analysis excluded patients specifying DNR.
Aged* ; APACHE ; Cohort Studies ; Comorbidity ; Humans ; Intensive Care Units ; Critical Care* ; Korea* ; Male ; Mortality ; Respiratory Insufficiency ; Retrospective Studies ; Survival Rate ; Survivors ; Tertiary Care Centers*

Objective: Interpersonal sensitivity, characterized by a heightened awareness of others’ behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders. Methods: The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups. Results: Network analysis detected five communities. Item 10 (“I worry about being criticized for things that I have said or done”) showed the highest value in strength. Multiple items on “Interpersonal Worry/Dependency” and “Low Self-Esteem” showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups. Conclusion Our findings emphasize the importance of addressing “Interpersonal Worry/Dependency” and “Low Self-Esteem” in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.

Objective: Interpersonal sensitivity, characterized by a heightened awareness of others’ behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders. Methods: The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups. Results: Network analysis detected five communities. Item 10 (“I worry about being criticized for things that I have said or done”) showed the highest value in strength. Multiple items on “Interpersonal Worry/Dependency” and “Low Self-Esteem” showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups. Conclusion Our findings emphasize the importance of addressing “Interpersonal Worry/Dependency” and “Low Self-Esteem” in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.

Objective: Interpersonal sensitivity, characterized by a heightened awareness of others’ behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders. Methods: The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups. Results: Network analysis detected five communities. Item 10 (“I worry about being criticized for things that I have said or done”) showed the highest value in strength. Multiple items on “Interpersonal Worry/Dependency” and “Low Self-Esteem” showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups. Conclusion Our findings emphasize the importance of addressing “Interpersonal Worry/Dependency” and “Low Self-Esteem” in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.

Objective: Interpersonal sensitivity, characterized by a heightened awareness of others’ behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders. Methods: The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups. Results: Network analysis detected five communities. Item 10 (“I worry about being criticized for things that I have said or done”) showed the highest value in strength. Multiple items on “Interpersonal Worry/Dependency” and “Low Self-Esteem” showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups. Conclusion Our findings emphasize the importance of addressing “Interpersonal Worry/Dependency” and “Low Self-Esteem” in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.

Objective: This study aimed to elucidate the distinct response patterns exhibited by patients diagnosed with bipolar disorder (BD) and those with major depressive disorder (MDD) through the application of the short version of the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Autoquestionnaire (TEMPS-A-SV). Methods: A total of 2,458 participants consisting of patients with MDD (n=288), BD (BD I, n=111; BD II, n=427), and control group (n=1,632) completed the TEMPS-A-SV. The response patterns of the participants were classified into distinct profiles using latent profile analysis. The study further examined the impact of covariates such as age, sex, and diagnostic group on derived latent profile memberships. Results: The following three latent profiles were identified: High Affective Temperament Group (17.86%), Low Affective Temperament Group (41.25%), and Middle Affective Temperament Group (40.89%). Compared with the patient group with MDD and BD, the control group was more likely to belong in the Low Affective Temperament Group, which showed a higher score on hyperthymic temperament than the Middle Affective Temperament Group. Furthermore, compared with the patients with BD, the MDD patients were more likely to be in the Low Affective Temperament Group rather than the Middle Affective Temperament Group. Conclusion These results indicate that different affective temperaments exist between patients with MDD and BD. Attempting to classify response patterns using the TEMPS-A-SV can help diagnose MDD and BD correctly.

Objective: Mood instability (MI) is a clinically significant trait associated with psychiatric disorders. However, there are no concise measurements to evaluate MI. The initial Mood Instability Questionnaire-Trait (MIQ-T) was developed to fill this gap. The current study aimed to create a short form of MIQ-T (MIQ-T-SF) that measures MI with high validity and reliability in the Korean general population. Methods: Of the 59 items in the MIQ-T, 17 items were chosen for the MIQ-T-SF following the factor analysis process. In total, 540 participants completed the MIQ-T-SF. Cronbach’s alpha and McDonald’s omega were used to evaluate reliability. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to determine construct validity. Concurrent validity was confirmed via comparisons with Personality Assessment Inventory-Borderline Features Scale. Measurement invariance across gender and age groups was confirmed before analyzing differences in scores using Kruskal-Wallis test. Results: The MIQ-T-SF displayed expected correlations and high internal consistency (α=0.71–0.90, Ωt=0.72–0.92). Using EFA and CFA, a five-factor structure was confirmed. Measurement invariance was supported, and gender differences were observed. Conclusion The MIQ-T-SF is an accurate and reliable method to detect MI in the Korean general population. The study’s results offer new perspectives for future studies on MI.