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Schizophrenia is a group of severe neurodevelopmental disorders. Identification of peripheral diagnostic biomarkers is an effective approach to improving diagnosis of schizophrenia. In this study, four datasets of schizophrenia patients' blood or serum samples were downloaded from the GEO database and merged and de-batched for the analyses of differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WCGNA). The WGCNA analysis showed that the cyan module, among 9 modules, was significantly related to schizophrenia, which subsequently yielded 317 schizophrenia-related key genes by comparing with the DEGs. The enrichment analyses on these key genes indicated a strong correlation with immune-related processes. The CIBERSORT algorithm was adopted to analyze immune cell infiltration, which revealed differences in eosinophils, M0 macrophages, resting mast cells, and gamma delta T cells. Furthermore, by comparing with the immune genes obtained from online databases, 95 immune-related key genes for schizophrenia were screened out. Moreover, machine learning algorithms including Random Forest, LASSO, and SVM-RFE were used to further screen immune-related hub genes of schizophrenia. Finally, CLIC3 was found as an immune-related hub gene of schizophrenia by the three machine learning algorithms. A schizophrenia rat model was established to validate CLIC3 expression and found that CLIC3 levels were reduced in the model rat plasma and brains in a brain-regional dependent manner, but can be reversed by an antipsychotic drug risperidone. In conclusion, using various bioinformatic and biological methods, this study found an immune-related hub gene of schizophrenia - CLIC3 that might be a potential diagnostic biomarker and therapeutic target for schizophrenia.

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BACKGROUND: End-of-life care is important in general hospitalization care. However, the clinical impact of using vasopressors on the length of the actively dying process is still controversial. METHODS: We reviewed patients who were hospitalized in general wards and died before discharge. We classified the patients into 2 groups: those who received vasopressors (RVs) and those who did not receive vasopressors (NRV). We analyzed the factors associated with the length of hospital stay (LOS) and the length of the actively dying process. RESULTS: In all, 745 participants, 10.01% of all admitted patients, were analyzed. Of them, 225 patients were RV group, and the remaining 520 were NRV group. Age and gender were comparable in the 2 groups. The use of vasopressors was associated with an admission diagnosis of sepsis and absence of Do-Not-Resuscitate consent and parenteral use of morphine. In multivariable analysis, a high Barthel index score, the absence of cancer and cardiopulmonary resuscitation (CPR), and no receipt of vasopressors were independent factors for LOS. For the length of the actively dying process, a longer duration of inotropic agent, the receipt of vasopressors, and the absence of CPR were independent factors. CONCLUSION: In-hospital mortality is not uncommon during hospitalization in a general ward. The length of the actively dying process is extended by the use of vasopressors. Further prospective study is required for cautious evaluation of the pros and cons of using vasopressors at the end of life during hospitalization.

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BACKGROUND: Post-discharge care remains a challenge because continuity of care is often interrupted and adverse events frequently occur. Previous studies have focused on early readmission but few have investigated emergency department (ED) visit after discharge. METHODS: This retrospective observational study was conducted between April 2011 and March 2012 in a referral center in Taiwan. Patients discharged from the general medical wards during the study period were analyzed and their characteristics, hospital course, and associated factors were collected. An ED visit within 30 days of discharge was the primary outcome while readmission or death at home were secondary outcomes. RESULTS: There were 799 discharged patients analyzed, including 96 (12 %) with an ED visit of 12.4 days post-discharge and 111 (14 %) with readmissions at 13.3 days post-discharge. Sixty patients were admitted after their ED visit. Underlying chronic illnesses were associated with 72 % of ED visits. By multivariate analysis, Charlson score and the use of naso-gastric tube were independent risk factors for ED visit within 30 days after discharge. CONCLUSIONS: Early ED visit after discharge is as high as 12 %. Patients with chronic illness and those requiring a naso-gastric tube or external biliary drain are at high risk for post-discharge ED visit.

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RATIONALE: Post-discharge care is challenging due to the high rate of adverse events after discharge. However, details regarding post-discharge care requirements remain unclear. Post-discharge medical counseling (PDMC) by telephone service was set-up to investigate its demand and predictors. METHODS: This prospective study was conducted from April 2011 to March 2012 in a tertiary referral center in northern Taiwan. Patients discharged for home care were recruited and educated via telephone hotline counseling when needed. The patient's characteristics and call-in details were recorded, and predictors of PDMC use and worsening by red-flag sign were analyzed. RESULTS: During the study period, 224 patients were enrolled. The PDMC was used 121 times by 65 patients in an average of 8.6 days after discharge. The red-flag sign was noted in 17 PDMC from 16 patients. Of the PDMC used, 50% (n = 60) were for symptom change and the rest were for post-discharge care problems and issues regarding other administrative services. Predictors of PDMC were underlying malignancy and lower Barthel index (BI). On the other hand, lower BI, higher adjusted Charlson co-morbidity index (CCI), and longer length of hospital stay were associated with PDMC and red-flag sign. CONCLUSIONS: Demand for PDMC may be as high as 29% in home care patients within 30 days after discharge. PDMC is needed more by patients with malignancy and lower BI. More focus should also be given to those with lower BI, higher CCI, and longer length of hospital stay, as they more frequently have red flag signs.

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