Objective To study the etiology, pathogenesis, prophylaxis and management measures for psychosis after open-heart surgery.Methods Four thousand one hundred and six cases of patients with open-heart surgery were observed. The patients with psychosis complications were diagnosed and treated by psychiatrist.Results Thirty-eight cases of the patients had psychosis complications,the incidence of which was 0 93%. Most of the patients with postcardiotomy psychosis were adults. The symptoms of postcardiotomy psychosis were manic state, compression state, schizophrenia-like state and neurosis reaction. The prognosis of the patients was good.Conclusion Postcardiotomy psychosis may be viewed as having a multivariant etiology encompassing physiologic factors, environmental factors and psychological factors. Comprehensive prevention measures should be taken.

Objective: To study the executive and attention function of patients with depression. Methods: We used the Wisconsin Card Sorting Test (WCST) and Continue Performance Test (CPT) to study the executive and attention function in 66 patients with schizophrenia, 42 patients suffering from depression, and 50 normal controls. Results: Schizophrenic patients and depressive patients performed worse than the normal controls in WCST (P

Objective To explore the pathological mechanism of brain function and structure in young patients with major depressive disorder by diffusion tensor imaging(DTI)and resting state functional magnetic resonance imaging(fMRI).Methods Sixteen participants diagnosed with major depression (MD) and 16 healthy age and gender-matched controls(HC) were recruited. Resting state fMRI and DTI brain scans were performed on all participants. A voxel-based method (VBM) was used to analyze the DTI datasets, and regional homogeneity (ReHo) approach was applied to preprocess the fMRI datasets. The value of fractional anisotropy (FA) and ReHo maps were obtained in the whole brain.Results FA values in the MD group were significantly lower than those of the healthy controls in the white matter of the left middle temporal gyrus, right middle frontal gyrus, left medial frontal gyrus, right precentral gyrus, left angular gyrus, left fusiform gyrus, left superior temporal gyrus, right middle temporal gyrus, right sub-gyral, left insula, and left pyramis (P＜0.01). ReHo in the MD group decreased in the left superior frontal gyrus, right superior frontal gyrus, left middle frontal gyrus, right middle frontal gyrus, left medial frontal gyrus, right medial frontal gyrus, left paracentral lobule, right paracentral lobule, right inferior parietal lobule, left postcentral gyrus, right postcentral gyrus, left middle occipital gyrus, left lingual gyrus, right putamen, right cingulate gyrus, right cuneus, left superior temporal gyrus, and right middle temporal gyrus (P＜0.01). Conclusion Abnormality of brain white microstructure and function exist widely in young patients with major depressive disorder. Abnormal connection of structures and function between the brain areas may be the key reason for the depression.

Objective To investigate the effects of recognition of emotional content words on event-related potentials (ERPs) of patients with major depression. Methods ERPs were recorded in 16 patients with major depression and 18 healthy subjects while they performed a visual Chinese emotional content words recognition task. The study used a word identification task consisting of 20% negative and 20% positive words as well as 60% neutral words. Results The ERPs demonstrated similar waveform (N90,P160,N250,P290,N350,P490,N650) between depression patients and normal group, but its components were different. Amplitudes of many ERPs components in patients group were significantly decreased but N250 were significantly increased in FZ and F4 as compared with those of the normal groups (P

Purpose To explore the role of posterior cingulate cortex (PCC) dysfunction in the pathogenesis of depression and its relationship with the clinical features of depression by analyzing the effective connection among the inner areas of PCC of patients in depression.Materials and Methods The spectral dynamic causal model (spDCM) was used to analyze the resting state functional magnetic resonance imaging (fMRI) data from the PCC inner areas Brodmann area (BA) 23,BA29,BA30,BA31 in the major depressive disorder group (MDD,n=23) and healthy control group (HC,n=36).Results Compared with HC group,the strength of BA30 self-connection of MDD group existed significant difference (t=2.53,P＜0.05).In MDD group,the connection of BA23 toward BA31 had abnormal activation,and the abnormal inhibition occurred in BA23 toward BA30;compared with HC group and after a＜0.05 Hz correction,there were significant differences in the bi-directional connections for BA23 and BA31,BA39 and BA31,BA30 and BA31,and in the unidirectional connections for BA23 to BA31,BA30 to BA23,BA30 to BA29 in MDD group.Conelusion The effective connection and connective nodes and edges in the inner areas of PCC in the depression disorder patients were abnormal.

or physicians and specialists other than psychiatric professionals in general hospitals should be enhanced together with psychiatric consultation.

ObjectiveTo help physicians improve detection rate of depressive and anxiety disorders by exploring the complaints of gastrointestinal(GI) outpatients with these disorders in the general hospitals.Methods A multicenter cross-sectional study was conducted from May to June in 2007.A total of 1995 subjects from 13 general hospitals in China were screened with the hospital anxiety and depression scale ( HADS ) and patient health questionnaire 15-item (PHQ-15).Meanwhile patients'complaints were recorded.Psychiatrists interviewed subjects scored ≥8 on HADS and made diagnoses by using the mini international neuropsychiatric interview(MINI).There were 323 outpatients diagnosed as depressive or anxiety disorders and 1287 outpatients without diagnosis of depressive or anxiety disorders.The complaints and PHQ-15 sores were compared between these two groups.The logistic regression analysis was used to determine the risk of having depressive or anxiety disorders with the number of complaints as an independent variable.ResultsSome symptoms between two groups were statistically significant,including weakness(34.1％ vs 18.8％ ;χ2 =18.04; P=0.000),fatigue(9.6％ vs 5.7％ ;χ2 =6.58,P=0.010)and insomnia( 7.1％ vs 3.4％ ; χ2 =8.87 ; P =0.003 ).Logistic regression analysis showed that with each additional complaint,the odds for an interview-based diagnosis of depressive or anxiety disorders increased,the odds ratio(OR) was 1.12(95％ CI,1.08 ～ 1.17,P=0.000).In comparison to the outpatients without depressive or anxiety disorders,outpatients with these disorders signifycantly had higher PHQ-15 scores (( 11.12 ± 4.92 ) vs (6.68 ± 4.05 ) ; t =16.84,P =0.000).ConclusionThe GI outpatients with depressive and/or anxiety disorders have worse mental heath and more complaints,compared to patients without these disorders.These results may help physicians to better identify depressive disorders and anxiety disorders.

Objective To explore the effect of brain-derived neurotrophic factor (BDNF) Val66Met polymorphism,environmental factor and their interactions on antidepressant treatment.Methods 340 patients of major depressive disorder (MDD) who met the diagnosis criteria of MDD ( DSM-Ⅳ Axis Ⅰ) were recruited.280 patients of them were finished 12 weeks antidepressant treatment.The severity of depression was measured with the Hamilton Depression Rating Scale (HDRS) before and after 12 weeks antidepressant treatment.Childhood Trauma Questionnaire,28-item Short Form (CTQ-SF) and Life Events Scale (LES) were used to evaluate childhood adverse and life stress before onset.Genotyping of BDNF Val66Met polymorphism was detected by Illumina GoldenGate assays.Results Male patients proportion were significantly higher in non-remitters than remitters (P =0.008 ).After adjusting by gender, the frequencies of genotype and allele for the BDNF Val66Met polymorphism were no significant difference between remitters (AA: AG: GG = 28: 79: 40, A:G = 135:159 ) and non-remitters (AA: AG: GG = 29:81:23 ,A: G = 139:127 ) (P ＞0.05 ).There was no significant difference of CTQ scores and LES scores between the two groups (P＞0.05 ).The regression analysis showed that social intercourse problem and age were the risk factor for the severity of depression.The gender, HDRS baseline scores and mental disorder family history were associated with the efficacy of 12 weeks antidepressant.However,there was no significantly relationship between the interaction of BDNF Val66Met polymorphism and environment with the antidepressant treatment.Conclusion The older men with the mental disorder family history, severe depression symptom would be less-response to antidepressant treatment.However, BDNF Val66Met polymorphism, childhood trauma, life events stress and the interaction of BDNF Val66Met polymorphism and environment have no significantly effect on the 12 weeks antidepressant treatment.

Objective To characterize the biomarkers of urine samples for early diagnosis of colorectal cancer(CRC)using proton nuclear magnetic resonance (1H-NMR)combined with pattern recognition.Methods 400 MHz 1H-NMR was used to test the urine samples obtained from 23 patients with Ⅰ/Ⅱ stage CRC,40 healthy controls (HC)and 18 patients with esophageal cancer (EC). Pattern recognition through orthogonal partial least squares-discriminant analysis (OPLS-DA)was applied on 1H-NMR data to find urine metabolic differences between CRC and HC.Results OPLS-DA could effectively determine HC,patients withⅠ/Ⅱstage CRC and patients with esophageal cancer.Compared with HC,early stage CRC had significant decreases of choline,isocitric acid,lactamine,phenylalan, cysteine,creatinine,aspartic acid,hippurate acid,methylamine,dimethyl sulfone,and increases of acetoacetate,glutamine,glycocyamine,cis-aconitate, trans-aconitate,homocycteine in the urine samples.Conclusion Urine metabonomics based on NMRIndicates that glucose metabolism,amino acid metabolism,choline metabolism,energy metabolism and intestinal microflora are disturbance in colorectal cancer patients,which provide valuable metabolic information on the molecular level for early diagnosis of colorectal cancer.

Objective To characterize the metabolic "fingerprint" of fecal extracts for diagnosis of early-stage colorectal cancer (CRC) using proton nuclear magnetic resonance spectroscopy (1H-NMR)-based metabolomics coupled with pattern recognition.Methods From January 2014 to December 2014,we collected fecal samples at the Second Affiliated Hospital of Shantou University Medical College,from 25 patients with colorectal adenomas (CR-Ad),20 with stage Ⅰ /Ⅱ CRC,and 32 healthy controls (HCs).The patients were diagnosed by histopathology.No subjects had any complicating diseases.HCs showed no abnormalities from blood tests,endoscopic examination,diagnostic imaging,and/or medical interviews.We excluded participants who used antibiotics,NSAIDS,statins,or probiotics within two months of study participation,and any patients who underwent chemotherapy or radiation treatments prior to surgery.We used orthogonal partial least-squares-discriminant analysis (OPLS-DA) for pattern recognition (dimension reduction) on 1H-NMR processed data (1H frequency of 400.13 MHz),to find metabolic differences among CR-Ad,carcinoma and HC fecal samples;and receiver operating characteristic (ROC) analysis to determine the diagnostic value of the fecal metabolic biomarkers.Results Fecal samples were collected from 20 patients with Stage Ⅰ/Ⅱ CRC (11 M,9 F,median age (52±13) years),25 with CR-Ad (14 M,11 F,median age (53±11) years) and 32 HCs (15 M,17 F,median age (53± 14) years).OPLS-DA clearly distinguished CR-Ad and stage Ⅰ/Ⅱ CRC from HC samples,based on their metabolomic profiles.Relative signal intensities in HCs were significantly lower than in the cancer patients for butyrate (HC:23.0±6.0;CR-Ad:18.0±5.0;CRC:14.0±6.0;Z=-2.07,P=0.008),acetate (HC:45.0± 11.0;CR-Ad:31.0±11.0;CRC:24.0±8.0;Z=-2.32,P=0.011),propionate (HC:26.0 ± 7.0;CR-Ad:22.0 ± 6.0;CRC:19.0 ± 5.0;Z=-2.43,P=0.032),glucose (HC:37.0±7.0;CR-Ad:31.0±7.0;CRC:26.0±8.0;Z=-2.07,P=0.044) and glutamine (HC:4.5±2.0;CR-Ad:4.9 ± 1.0;CRC:5.4 ± 1.0;Z=2.21,P=0.044).However,relative signal intensities in HCs were significantly higher than in patients for lactate (HC:4.8± 1.0;CR-Ad:6.9±2.0;CRC:4.8± 1.0;Z=2.02,P=0.038),glutamate (HC:3.2±2.0;CR-Ad:4.9 ± 1.0;CRC:3.2± 2.0;Z=2.21,P=0.044) and succinate (HC:12.0±2.0;CR-Ad:15.0±3.0;CRC:12.0± 2.0;Z=2.25,P=0.011).Among the potential biomarkers,acetate at 1.92 ppm,and succinate at 2.41 ppm displayed relatively high area under ROC,with sensitivity and specificity both ＞90％,to distinguish early-stage CRC patients from HCs.Conclusion Fecal metabolic profiles distinguish of HCs from patients with CRC patients,even in the early stages (stage Ⅰ/Ⅱ),highlighting the potential of NMR-based fecal metabolomic fingerprinting as tools for early CRC diagnosis.