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Objective:To investigate the characteristics of implicit memory and its related factors in schizophrenic patients with negative and positive symptoms.Methods:Ninety-three schizophrenic patients (including 52 cases of negative symptoms group and 41 cases of positive symptoms group) and 30 normal controls (normal group) were tested with the method of Chinese character word completion method. The reaction time and correct rate were recorded and compared with analysis of variance and t-test, and the correlation with demographic factors was analyzed with Pearson correlation analysis. Results:Accuracy of implicit memory test in schizophrenia group: there were statistically significant differences in the accuracy of patients with different course of disease (≤5 years: (38±5)%, 5-15 years: (34±8)%, ≥15 years: (34±7)%, P<0.05).The differences were statistically significant in the accuracy of patients with different education levels(primary school: (35±6)%, junior and senior high school: (34±7)%, secondary college education and above: (39±5)%, P<0.05).The accuracy of patients with education years < 10 years ((34±7)%) was significantly lower than those with education years ≥10 years ((37±6)%, P<0.05).Reaction time results of implicit memory test in schizophrenia group : there were significant differences in reaction time of patients with different disease course(≤5 years: (3 248±971)ms, 5-15 years: (3 515±672)ms, ≥15 years: (3 925±842)ms, P<0.05).The differences were statistically significant in the reaction time of workers ((3 495±712)ms), farmers ((3 870±878)ms) and soldiers ((3 024±924)ms, P<0.05).The reaction time of patients with clozapine ((3 869±871)ms) was significantly higher than that of patients with olanzapine ((3 393±626)ms, P<0.05).Intergroup results of accuracy: the accuracy of normal control group ((40±5)%) was significantly higher than that of negative symptom group ((33±7)%, P<0.01).The accuracy of negative symptom group was significantly lower than that of positive symptom group ((37±6)%, P<0.01).Intergroup reaction time results: the reaction time of normal control group ((2 660±667)ms) was significantly lower than that of negative symptom group ((3 678±951)ms, P<0.01) and positive symptom group ((3 072±865)ms, P<0.05).The reaction time of negative symptom group ((3 678±951)ms)was significantly higher than that of positive symptom group( P<0.01).There was significant negative correlation between the accuracy of implicit memory and the course of disease in schizophrenia ( r=-0.22, P<0.05). Conclusion:The implicit memory of schizophrenic patients is related to the course of disease, taking drugs, and occupation.There may have differences in implicit memory between patients with negative and positive symptoms of schizophrenia.
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Objective:To investigate the role of blood ammonia in the evaluation of the prognosis of septic patients in the emergency department and to compare its value with mortality in emergency department sepsis (MEDS) score.Methods:A retrospective clinical study was conducted to septic patients who were diagnosed in the Emergency Department of West China Hospital of Sichuan University from June 2017 to May 2018, and met the diagnostic criteria established by the diagnostic criteria of the American College of Chest Physicians/Society of Critical Care Medicine in 2001. The subjects who had other diseases that affected blood ammonia level and were lost to follow-up were excluded. MEDS scores were collected, and the survival status of patients was followed up by telephone. The independent samples t test was used to compare the differences between the two groups, receiver operating characteristic (ROC) curve was used to assess the accuracy of the prediction of sepsis mortality, and the logistic regression model was used to explore the value of the combined use of blood ammonia and MEDS score.Results:Eighty subjects were finally included in the study and divided into the 1-week survival group ( n=52), 1-week death group ( n=28); 4-week survival group ( n=37), 4-week death group ( n=43); 12-week survival group ( n=33), 12-week death group ( n=47); 1-year survival group ( n=32), and 1-year death group ( n=48). There was no statistical difference in the demographic characteristics of subjects between the groups. The average blood ammonia level of all the subjects who died was higher than that of the patients who survived in the same period [(116.57 ± 85.33) μmol/L vs (77.63 ± 35.82) μmol/L, (108.53 ± 73.00) μmol/L vs (71.19 ± 32.53) μmol/L, (106.74 ± 71.59) μmol/L vs (69.21 ± 28.84) μmol/L, (105.77 ± 71.14) μmol/L vs (69.50 ± 29.25) μmol/L, P<0.05]. Based on death after one week, four weeks, twelve weeks and one year, the area under ROC curve (AUC) of blood ammonia was 0.668 (95% CI: 0.542-0.793, P=0.014), 0.706 (95% CI: 0.593-0.819, P=0.002), 0.705 (95% CI: 0.592-0.818, P=0.002), and 0.697 (95% CI: 0.582-0.811, P=0.003), respectively. Compared with the use of blood ammonia, lactic acid or MEDS score alone, the combined use of blood ammonia and MEDS score increased the accuracy of prognosis evaluation in sepstic patients ( P<0.05). Conclusions:Blood ammonia has a high value in predicting the short-term and 1-year prognosis of septic patients in the emergency department. The combined use of blood ammonia and MEDS score can further improve its predictive value.
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@#Objective To explore the predictive value of a simple prediction model for patients with acute myocardial infarction. Methods Clinical data of 280 patients with acute ST-segment elevation myocardial infarction (STEMI) in the Department of Emergence Medicine, West China Hospital of Sichuan University from January 2019 to January 2020 were retrospectively analyzed. The patients were divided into a death group (n=34) and a survival group (n=246). Results Age, heart rate, body mass index (BMI), global registry of acute coronary events (GRACE), thrombolysis in myocardial infarction trial (TIMI) score, blood urea nitrogen, serum cystatin C and D-dimer in the survival group were less or lower than those in the death group (P<0.05). Left ventricle ejection fraction and the level of albumin, triglyceride, total cholesterol and low density lipoprotein cholesterol were higher and the incidence of Killip class≥Ⅲ was lower in the survival group compared to the death group (P<0.05). Multivariate logistic regression analysis showed that age, BMI, heart rate, diastolic blood pressure, and systolic blood pressure were independent risk factors for all-cause death in STEMI patients. Receiver operating characteristic (ROC) curve analysis showed that the area under the curve of simple prediction model for predicting death was 0.802, and similar to that of GRACE (0.816). The H-L test showed that the simple model had high accuracy in predicting death (χ2=3.77, P=0.877). Pearson correlation analysis showed that the simple prediction model was significantly correlated with the GRACE (r=0.651, P<0.001) and coronary artery stenosis score (r=0.210, P=0.001). Conclusion The simple prediction model may be used to predict the hospitalization and long-term outcomes of STEMI patients, which is helpful to stratify high risk patients and to guide treatment.
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Objective To investigate the correlations between the mass and fat infiltration of intercostal muscles and their severity of airflow obstruction in patients with chronic obstructive pulmonary disease(COPD). Methods One hundred and sixty-three COPD patients and 102 normal subjects between August 2015 to March 2017 underwent chest MSCT scans and all data were analyzed retrospectively. All subjects underwent pulmonary function tests (PFT). According to the global initiative for chronic obstructive lung disease(GOLD, updated 2015), the COPD patients were classified into GOLD 1(n=37), GOLD 2(n=46), GOLD 3 (n=48), GOLD 4 (n=32) by pulmonary function results, respectively. The mass and fat infiltrations of intercostal muscles were quantified as the cross-sectional area (CSA) and attenuation of these muscles using CT histogram analysis. Intercostal indexes and attenuation indexes were defined as intercostal CSA and attenuation divided by body mass index(BMI). Comparison of intercostal indexes and attenuation indexes between the COPD and control groups was perfomed using t test. The comparisons between the 4 COPD subgroups were carried out using ANOVA test, and comparison between the two groups by LSD. The correlation between intercostal indexes and attenuation indexes and PFT were evaluated by the Spearman rank correlation test. Results The CSA and attenuation indexes of COPD patients groups were(4.3 ± 2.1) mm2 · m2 · kg-1,(-1.6 ± 6.9)HU · m2 · kg-1, respectively,both were significantly lower than that of the control group [(6.9 ± 1.7)mm2 · m2 · kg-1,(11.6 ± 5.7)HU · m2 · kg-1]. The difference was statistically significant(t=12.82,10.87,P<0.01). The CSA and attenuation indexes of COPD patients in any subgroups and the control group were of significant difference(F=92.79, 8.80, P<0.01).The CSA and attenuation indexes were negatively correlated with the GOLD grades, the difference was statistically significant(r=-0.615,-0.551, P<0.05). Conclusions Mass and fat infiltration of intercostal muscles of COPD patients measured by CT histogram analysis were correlated with their severity of airflow obstruction. In other words, a decrease in intercostal mass and an increase in intercostal fat are associated with worsening of COPD severity.
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Objective To investigate the predictive value of acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ) for nursing workload in emergency intensive care unit (EICU).Methods A retrospective cohort study was conducted. Critical patients except for trauma admitted to EICU of West China Hospital of Sichuan University from June 2012 to July 2016 were enrolled. APACHE Ⅱ score and therapeutic intervention scoring system (TISS-28) score were calculated in each case. The relationship between APACHE Ⅱ score and TISS-28 score was analyzed by correlation analysis and curve estimation.Results A total of 1148 patients were enrolled, including 689 male (60.0%), and age of (56±19) years old, APACHE Ⅱ score was 19 (13, 25), and TISS score was 19 (13, 25). The Spearman correlation coefficient between APACHE Ⅱ score and TISS-28 score was 0.849 (P < 0.001), and that among the linear model quadratic model, composite model, growth model, logarithm model, cubic model and exponential modelR2 were 0.669, 0.710, 0.792, 0.764, 0.765, 0.765, respectively (allP < 0.01), and the most suitable description for relationship between APACHE Ⅱ score and TISS-28 score curve was cubic model. The nursing workload was significantly increased when APACHE Ⅱ score ≥30, and it was decreased when APACHE Ⅱ score < 30.Conclusion APACHE Ⅱ was a useful score for predicting the nursing workload in EICU.
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Objective To develop a method for the determination of Baicalin in Muxiangliqi tablet. Methods To determine the quantity of Baicalin in the Muxiangliqi tablet by HPLC. The mobile phase was MeOH-H2O-Glacial acetic acid (42∶55∶3). The velocity of flow was 1.0 mL/min. The detectionavelength was 280 nm. The column temperature was room temperature. Results The curve of baicalin was lindar at the range of 0.201～4.02 ?g. The average recovery rate was 96.61%, RSD=1.10%. Conclusion The method was simple, sensitive and stable, and can be used as the method of quality control for Muxiangliqi tablet.
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Objective:To explore the effect of ginsenodels on the memory retention of rats of animal models of schizophrenia.Methods:The rats in experiment were divided into experimental group and control group, the rats in the experimental group were orally given Ginsenosides, and rats in control group were given normal saline. Both groups were treated for 5 days, then given injection of MK801 to establish animal models of schizophrenia. Before (d0), during (d1,d3) and after (d5) MK801. Several behavior models such as active avoidance reaction (AAR) and once passive avoidance reaction (OPAR) were used to research the process of learning and memory before and after experimental.Results:In the active avoidance reaction, the rats of experimental group were used to increase, and the fade away slowed to the rats of controls groups significantly (231.79?18.90/158.28?6.78,134.86?15.49/92.29?9.22,81.64?17.29/36.08?17.12,t=10.35,6.68,5.29,P