OBJECTIVES: Patients with schizophrenia often have a concrete thinking or an impairment in abstract thinking, but there has been a limitation in quantitatively measuring this cognitive function. The aim of the current study was to investigate a deficit in abstract thinking in patients with schizophrenia using the theme identification task. METHODS: Twenty subjects with schizophrenia and 20 healthy volunteers participated in the behavioral study for theme identification. The visual stimuli were composed of a series of pictures, which contained positive or negative emotional situations. Three words, indicating a main theme of the picture, a theme-related item and a theme-unrelated item, respectively, were presented in the bottom of the pictures, and participants had to select a theme. RESULTS: The patient group selected theme words at significantly lower rate in both emotional conditions than the control group (positive, p=0.002 ; negative, p=0.001). Especially, in the negative condition, the patient group more selected theme-unrelated items than the control group (p=0.001). The rates of theme identification were inversely correlated with scores of the Social Anhedonia Scale (positive, r=-0.440, p=0.007 ; negative, r=-0.366, p=0.028). CONCLUSION: Patients with schizophrenia exhibited an impairment in abstract thinking, and it was remarkable in the negative condition. The ability to think abstractly was associated with the severity of social anhedonia. The impairment of abstract thinking may become one of the reasons for poor social functioning in socially anhedonic patients.
Anhedonia ; Humans ; Schizophrenia ; Thinking

OBJECTIVES: Patients with schizophrenia often present the idea of reference in social situations ; however, the number of research studies examining the nature of the idea of reference and the visual searching pattern in social situations is limited. The aim of this study was to investigate behavioral and visual searching characteristics of patients with schizophrenia in social situations in which the idea of reference can be provoked. METHODS: Eighteen subjects with schizophrenia (eight males) and 18 healthy volunteers (seven males) performed the idea-of-reference-provoking task, which was composed of movie clips with scenes of two women sitting on a bench 1 m away. The participants' reactions were rated using questionnaires for self-reference, malevolent intentions, and anxiety. Visual scan path was monitored during performance of the task. RESULTS: There were significant group differences in the reactions on self-reference, malevolent intentions, and anxiety. The visual searching pattern in patients with schizophrenia was to avoid looking at the women's body area in every movie clip. However, there was no significant difference in the face area in both groups. CONCLUSION: A distinct visual strategy in schizophrenia may affect the self-referential bias and paranoid response. The absence of difference in attention to a core information region (face) may suggest the possibility of inferential errors as well as the cause of self-referential bias and paranoid responses.
Anxiety ; Bias (Epidemiology) ; Female ; Healthy Volunteers ; Humans ; Intention ; Surveys and Questionnaires ; Schizophrenia*

OBJECTIVES: Although delirium is a common complication among patients hospitalized in intensive care units(ICUs), little is known about the roles that diagnostic and therapeutic procedures play in its development. This study investigates the procedure-related risk factors of delirium in ICU patients. METHODS: All the consecutive patients admitted to the ICU between June 2016 and May 2017 were routinely evaluated for delirium by psychiatrists. In total, 1156 patients met the inclusion criteria and were retrospectively analyzed. A multiple logistic regression analysis was conducted to investigate independent risk factors of delirium development while adjusting for other characteristics. RESULTS: The age, Acute Physiology and Chronic Health Evaluation (APACHE II) score, proportion of patients who had undergone an operation, and proportion of patients who were foley catheterized, mechanically ventilated, and physically restrained were higher in the delirium group. The multiple logistic regression analysis confirmed that the use of restraint was an independent risk factor of delirium (odds ratio : 10.006 ; 95% confidence interval : 6.120–16.360 ; p<0.001). The patient factors independently associated with delirium were an advanced age and a higher APACHE II score. The incidence of delirium was 15.3%. CONCLUSIONS: There is a high prevalence of delirium influenced by potentially harmful procedures in patients in ICU settings. The use of physical restraint had the strongest association with the development of delirium. These findings advocate the need to target procedure-related risk factors such as the use of restraints as preventive intervention measures for ICU delirium.
APACHE ; Catheters ; Critical Care ; Delirium ; Humans ; Incidence ; Intensive Care Units ; Logistic Models ; Prevalence ; Psychiatry ; Restraint, Physical ; Retrospective Studies ; Risk Factors

OBJECTIVES: It is not clear which clinical variables are most closely associated with delirium in the Intensive Care Unit (ICU). By comparing clinical data of ICU delirium and non-delirium patients, we sought to identify variables that most effectively differentiate delirium from non-delirium. METHODS: Medical records of 6,386 ICU patients were reviewed. Random Subset Feature Selection and Principal Component Analysis were utilized to select a set of clinical variables with the highest discriminatory capacity. Statistical analyses were employed to determine the separation capacity of two models-one using just the selected few clinical variables and the other using all clinical variables associated with delirium. RESULTS: There was a significant difference between delirium and non-delirium individuals across 32 clinical variables. Richmond Agitation Sedation Scale (RASS), urinary catheterization, vascular catheterization, Hamilton Anxiety Rating Scale (HAM-A), Blood urea nitrogen, and Acute Physiology and Chronic Health Examination II most effectively differentiated delirium from non-delirium. Multivariable logistic regression analysis showed that, with the exception of vascular catheterization, these clinical variables were independent risk factors associated with delirium. Separation capacity of the logistic regression model using just 6 clinical variables was measured with Receiver Operating Characteristic curve, with Area Under the Curve (AUC) of 0.818. Same analyses were performed using all 32 clinical variables;the AUC was 0.881, denoting a very high separation capacity. CONCLUSIONS The six aforementioned variables most effectively separate delirium from non-delirium. This highlights the importance of close monitoring of patients who received invasive medical procedures and were rated with very low RASS and HAM-A scores.

Herein, we report a patient showing panagglutination in the unexpected antibody identification test after the administration of daratumumab. The patient was a 66-year-old woman who had undergone multiple cycles of chemotherapy and autologous peripheral blood stem cell transplantation for treating multiple myeloma; however, despite treatment, she had relapsed. Therefore, daratumumab, on clinical trials in Korea, started to be administered. After administration of daratumumab, the result of antibody screening test was positive, on the contrary to the result prior to the administration. Moreover, all positive reactions were shown in the antibody identification to the panel cells. After destroying CD38 antigens on the surface of RBCs using DTT, negative results were obtained. Daratumumab—a novel therapeutic human CD38 monoclonal antibody that can be used as targeted immunotherapy—is an FDA-approved drug for treating multiple myeloma. Because CD38 is expressed not only on myeloma cells, but also on red blood cells (RBCs), the use of daratumumab might lead to RBC agglutinations, and thereby resulting in false-positive results on the pre-transfusion tests. Therefore, caution is needed in case of a patient receiving daratumumab. Furthermore, additional test using DTT is required, especially when panagglutination was shown in the antibody identification test, as in this case.
Aged ; Antigens, CD38 ; Drug Therapy ; Erythrocytes ; Female ; Humans ; Korea ; Mass Screening ; Multiple Myeloma* ; Peripheral Blood Stem Cell Transplantation

PURPOSE: To analyze the gene expression profiles of uterine cervical cancer, and its variation after radiation therapy, with or without concurrent chemotherapy, using a cDNA microarray. MATERIALS AND METHODS: Sixteen patients, 8 with squamous cell carcinomas of the uterine cervix, who were treated with radiation alone, and the other 8 treated with concurrent chemo-radiation, were included in the study. Before the starting of the treatment, tumor biopsies were carried out, and the second time biopsies were performed after a radiation dose of 16.2~27 Gy. Three normal cervix tissues were used as a control group. The microarray experiments were performed with 5 groups of the total RNAs extracted individually and then admixed as control, pre-radiation therapy alone, during-radiation therapy alone, pre-chemoradiation therapy, and during-chemoradiation therapy. The 33P-labeled cDNAs were synthesized from the total RNAs of each group, by reverse transcription, and then they were hybridized to the cDNA microarray membrane. The gene expression of each microarrays was captured by the intensity of each spot produced by the radioactive isotopes. The pixels per spot were counted with an Arrayguage(R), and were exported to Microsoft Excel(R). The data were normalized by the Z transformation, and the comparisons were performed on the Z-ratio values calculated. RESULTS: The expressions of 15 genes, including integrin linked kinase (ILK), CDC28 protein kinase 2, Spry 2, and ERK 3, were increased with the Z-ratio values of over 2.0 for the cervix cancer tissues compared to those for the normal controls. Those genes were involved in cell growth and proliferation, cell cycle control, or signal transduction. The expressions of the other 6 genes, including G protein coupled receptor kinase 6, were decreased with the Z-ratio values of below -2.0. After the radiation therapy, most of the genes, with a previously increase expressions, represented the decreased expression profiles, and the genes, with the Z-ratio values of over 2.0, were cyclic nucleotide gated channel and 3 Expressed sequence tags (EST). In the concurrent chemo-radiation group, the genes involved in cell growth and proliferation, cell cycle control, and signal transduction were shown to have increased expressions compared to the radiation therapy alone group. The expressions of genes involved in angiogenesis (angiopoietin-2), immune reactions (formyl peptide receptor-like 1), and DNA repair (cAMP phosphodiesterase) were increased, however, the expression of gene involved in apoptosis (death associated protein kinase) was decreased. CONCLUSION: The different kinds of genes involved in the development and progression of cervical cancer were identified with the cDNA microarray, and the proposed theory is that the proliferation signal starts with ILK, and is amplified with Spry 2 and MAPK signaling, and the cellular mitoses are increased with the increased expression of Cdc 2 and cell division kinases. After the radiation therapy, the expression profiles demonstrated the evidence of the decreased cancer cell proliferation. There was no significant difference in the morphological findings of cell death between the radiation therapy alone and the chemo-radiation groups in the second time biopsy specimen, however, the gene expression profiles were markedly different, and the mechanism at the molecular level needs further study.
Apoptosis ; Biopsy ; Carcinoma, Squamous Cell ; Cell Death ; Cell Division ; Cell Proliferation ; Centers for Disease Control and Prevention (U.S.) ; Cervix Uteri ; Cyclic Nucleotide-Gated Cation Channels ; DNA Repair ; DNA, Complementary ; Drug Therapy ; Expressed Sequence Tags ; Female ; Gene Expression* ; GTP-Binding Proteins ; Humans ; Membranes ; Mitosis ; Oligonucleotide Array Sequence Analysis ; Phosphotransferases ; Protein Kinases ; Radioisotopes ; Reverse Transcription ; RNA ; Signal Transduction ; Transcriptome* ; Uterine Cervical Neoplasms*

Objective: The aim of this study was to investigate the association between the use of statins and the occurrence of delirium in a large cohort of patients in the intensive care unit (ICU), considering disease severity and statin properties. Methods: We obtained clinical and demographical information from 3,604 patients admitted to the ICU from January 2013 to April 2020. This included information on daily statin use and delirium state, as assessed by the Confusion Assessment Method for ICU. We used inverse probability of treatment weighting and categorized the patients into four groups based on the Acute Physiology and Chronic Health Evaluation II score (group 1: 0−10 - mild; group 2: 11−20 -mild to moderate; group 3: 21−30 - moderate to severe; group 4: ＞ 30 - severe). We analyzed the association between the use of statin and the occurrence of delirium in each group, while taking into account the properties of statins. Results: Comparisons between statin and non-statin patient groups revealed that only in group 2, patients who were administered statin showed significantly higher occurrence of delirium (p = 0.004, odds ratio [OR] = 1.58) compared to the patients who did not receive statin. Regardless of whether statins were lipophilic (p = 0.036, OR = 1.47) or hydrophilic (p = 0.032, OR = 1.84), the occurrence of delirium was higher only in patients from group 2. Conclusion The use of statins may be associated with the increases in the risk of delirium occurrence in patients with mild to moderate disease severity, irrespective of statin properties.

Objective: Adult attachment style is linked to how an individual responds to threats or stress and is known to be related to the onset of psychiatric symptoms such as depression. However, as the current assessment of attachment type mainly relies on self-report questionnaires and can be prone to bias, there is a need to incorporate physiological factors along with psychological symptoms and history in this process. We aimed to predict the measurement of two important types of adult attachment with heart rate variability (HRV), early life stress experience, and subjective psychiatric symptoms. Methods: Five hundred eighty-two subjects with depressive disorder were recruited retrospectively from January 2015 to June 2021. The experience of early life stress and psychiatric symptoms were collected, and HRV measures were obtained as input for an ensembled Voting Regressor model of machine learning-based regression models, including linear regression, ElasticNet, Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost). Results: Model performances evaluated with R-squared score averaged across 30 seeds were 0.377 and 0.188 for anxious- and avoidant-attachment, respectively. Mean absolute error averaged to 13.251 and 12.083, respectively. Shapley value importance analysis indicated that for both attachment types, the most important feature was the trait-anxiety, followed by emotional abuse, state-anxiety or self-reported depressive symptoms, and fear or helplessness felt in the moment of an early life stressor. Conclusion Our results provide the evidence base that may be utilized in clinical settings to predict the degree of attachment type using bio-psychological factors.

Objective: Adult attachment style is linked to how an individual responds to threats or stress and is known to be related to the onset of psychiatric symptoms such as depression. However, as the current assessment of attachment type mainly relies on self-report questionnaires and can be prone to bias, there is a need to incorporate physiological factors along with psychological symptoms and history in this process. We aimed to predict the measurement of two important types of adult attachment with heart rate variability (HRV), early life stress experience, and subjective psychiatric symptoms. Methods: Five hundred eighty-two subjects with depressive disorder were recruited retrospectively from January 2015 to June 2021. The experience of early life stress and psychiatric symptoms were collected, and HRV measures were obtained as input for an ensembled Voting Regressor model of machine learning-based regression models, including linear regression, ElasticNet, Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost). Results: Model performances evaluated with R-squared score averaged across 30 seeds were 0.377 and 0.188 for anxious- and avoidant-attachment, respectively. Mean absolute error averaged to 13.251 and 12.083, respectively. Shapley value importance analysis indicated that for both attachment types, the most important feature was the trait-anxiety, followed by emotional abuse, state-anxiety or self-reported depressive symptoms, and fear or helplessness felt in the moment of an early life stressor. Conclusion Our results provide the evidence base that may be utilized in clinical settings to predict the degree of attachment type using bio-psychological factors.

Objective: Adult attachment style is linked to how an individual responds to threats or stress and is known to be related to the onset of psychiatric symptoms such as depression. However, as the current assessment of attachment type mainly relies on self-report questionnaires and can be prone to bias, there is a need to incorporate physiological factors along with psychological symptoms and history in this process. We aimed to predict the measurement of two important types of adult attachment with heart rate variability (HRV), early life stress experience, and subjective psychiatric symptoms. Methods: Five hundred eighty-two subjects with depressive disorder were recruited retrospectively from January 2015 to June 2021. The experience of early life stress and psychiatric symptoms were collected, and HRV measures were obtained as input for an ensembled Voting Regressor model of machine learning-based regression models, including linear regression, ElasticNet, Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost). Results: Model performances evaluated with R-squared score averaged across 30 seeds were 0.377 and 0.188 for anxious- and avoidant-attachment, respectively. Mean absolute error averaged to 13.251 and 12.083, respectively. Shapley value importance analysis indicated that for both attachment types, the most important feature was the trait-anxiety, followed by emotional abuse, state-anxiety or self-reported depressive symptoms, and fear or helplessness felt in the moment of an early life stressor. Conclusion Our results provide the evidence base that may be utilized in clinical settings to predict the degree of attachment type using bio-psychological factors.