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

No abstract available.

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: ：Somatic symptom disorder (SSD) is characterized by the manifestation of a variety of physical symptoms, but little is known about differences in autonomic nervous system activity according to symptom severity, especially within patient groups. In this study, we examined differences in heart rate variability (HRV) across symptom severity in a group of SSD patients to analyze a representative marker of autonomic nervous system changes by symptoms severity. Methods: ：Medical records were retrospectively reviewed for patients who were diagnosed with SSD based on DSM-5 from September 18, 2020 to October 29, 2021. We applied inverse probability of treatment weighting (IPTW) methods to generate more homogeneous comparisons in HRV parameters by correcting for selection biases due to sociodemographic and clinical characteristic differences between groups. Results: ：There were statistically significant correlations between the somatic symptom severity and LF (nu), HF (nu), LF/HF, as well as SD1/SD2 and Alpha1/Alpha2. After IPTW estimation, the mild to moderate group was corrected to 27 (53.0%) and the severe group to 24 (47.0%), and homogeneity was achieved as the differences in demographic and clinical characteristics were not significant. The analysis of inverse probability weighted regression adjustment model showed that the severe group was associated with significantly lower RMSSD (β=-0.70, p=0.003) and pNN20 (β=-1.04, p=0.019) in the time domain and higher LF (nu) (β=0.29, p<0.001), lower HF (nu) (β=-0.29, p<0.001), higher LF/HF (β=1.41, p=0.001), and in the nonlinear domain, significant differences were tested for SampEn15 (β=-0.35, p=0.014), SD1/SD2 (β=-0.68, p<0.001), and Alpha1/Alpha2 (ß=0.43,p=0.001). Conclusions ：These results suggest that differences in HRV parameters by SSD severity were showed in the time, frequency and nonlinear domains, specific parameters demonstrating significantly higher sympathetic nerve activity and reduced ability of the parasympathetic nervous system in SSD patients with severe symptoms.

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.

Background: Depression is a global mental health concern that negatively affects individuals’ health and increases medical costs. This study aimed to assess whether early depression management is cost-beneficial and effective from the perspective of quality indicators. Methods: Data of patients newly diagnosed with depressive disorder between 2012 and 2014 as well as follow-up data until 2020 were extracted from the National Health Insurance Service database. Hospitalization, emergency room visits, and annual medical expenses were set as dependent variables to estimate the effect of depression and information on medical expenditures. Six quality indicators developed by the Health Insurance Review and Assessment Service comprised independent variables. Results: In total, 465,766 patients were included in this study. Patients who met the quality indicators were more likely to be hospitalized with a psychiatric diagnosis. Furthermore, patients who met the quality indicator of revisiting within 3 weeks of their first visit had greater psychiatric and overall expenses during the early treatment phase; however, the overall expenses gradually decreased over time. Conclusion High-quality initial treatment for depression can be cost-effective in the long term; however, further studies are needed to discern its immediate clinical effects.

BACKGROUND: Automated cellular analyzers are expected to improve the analytical performance in body fluid (BF) analysis. We evaluated the analytical performance of three automated cellular analyzers and established optimum reflex analysis guidelines. METHODS: A total of 542 BF samples (88 cerebrospinal fluid [CSF] samples and 454 non-CSF samples) were examined using manual counting and three automated cellular analyzers: UniCel DxH 800 (Beckman Coulter), XN-350 (Sysmex), and UF-5000 (Sysmex). Additionally, 2,779 BF analysis results were retrospectively reviewed. For malignant cell analysis, the receiver operating characteristic (ROC) curve was used, and the detection of high fluorescence-BF cells (HF-BFs) using the XN-350 analyzer was compared with cytology results. RESULTS: All three analyzers showed good agreement for total nucleated cell (TNC) and red blood cell (RBC) counts, except for the RBC count in CSF samples using the UniCel DxH 800. However, variable degrees of differences were observed during differential cell counting. For malignant cell analysis, the area under the curve was 0.63 for the XN-350 analyzer and 0.76 for manual counting. We established our own reflex analysis guidelines as follows: HF-BFs <0.7/100 white blood cells (WBCs) is the criterion for quick scans with 100× magnification microscopic examination as a rule-out cut-off, while HF-BFs >83.4/100 WBCs or eosinophils >3.8% are the criteria for mandatory double check confirmation with 1,000× magnification examination. CONCLUSIONS The three automated analyzers showed good analytical performances. Application of reflex analysis guidelines is recommended for eosinophils and HF-BFs, and manual confirmation is warranted.

Background: Although urine culture is considered a reference standard for the diagnosis of urinary tract infection (UTI), it is time-consuming, labor-intensive, and expensive. Here, we evaluated the performance of five recent automated urine analyzers for UTI diagnosis. Methods: For the 510 specimens analyzed, the criterion for ‘significant bacteriuria’ was defined as ≥ 104 CFU/mL in the inoculated plate for all specimens or ≥ 103 CFU/mL for specimens from patients using a Foley catheter or with urinary symptoms. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of UTI were analyzed using indicators individually, in different combinations, or with various cut-off values. Results: Seventy-one specimens (13.9%) exhibited ‘significant bacteriuria’. In the eceiver operating characteristics curve analysis, UF-5000 (Sysmex Corp., Japan) showed the highest area under the curve values for both males and females (0.876 and 0.846, respectively). The PPVs for specimens from males with all indicators positive increased up to 100% after adjusting the cut-off values. NPVs for specimens with all indicators negative were 94.3%– 98.2% in males and 78.1%–93.8% in females after adjusting the cut-off values. Conclusion As a rapid and accurate diagnostic tool, urine sediment analyzers can be valuable for UTI diagnosis by reducing unnecessary culture and can help clinicians determine a treatment plan.

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.

Background: Although urine culture is considered a reference standard for the diagnosis of urinary tract infection (UTI), it is time-consuming, labor-intensive, and expensive. Here, we evaluated the performance of five recent automated urine analyzers for UTI diagnosis. Methods: For the 510 specimens analyzed, the criterion for ‘significant bacteriuria’ was defined as ≥ 104 CFU/mL in the inoculated plate for all specimens or ≥ 103 CFU/mL for specimens from patients using a Foley catheter or with urinary symptoms. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of UTI were analyzed using indicators individually, in different combinations, or with various cut-off values. Results: Seventy-one specimens (13.9%) exhibited ‘significant bacteriuria’. In the eceiver operating characteristics curve analysis, UF-5000 (Sysmex Corp., Japan) showed the highest area under the curve values for both males and females (0.876 and 0.846, respectively). The PPVs for specimens from males with all indicators positive increased up to 100% after adjusting the cut-off values. NPVs for specimens with all indicators negative were 94.3%– 98.2% in males and 78.1%–93.8% in females after adjusting the cut-off values. Conclusion As a rapid and accurate diagnostic tool, urine sediment analyzers can be valuable for UTI diagnosis by reducing unnecessary culture and can help clinicians determine a treatment plan.