Objective The 47 myocardial infarction patients (male 41, female 6, average ages 55 7?9 7 years) with silent myocardial ischemia (type Ⅱ SMI) were chosen The relationship was studied between the history of myocardial infarction (MI)and the degree of coronary arterial stenosis and the residual degree of stenosis after percataneous transluminal coronary angioplasty (PTCA) Methods All patients with MI were performed with exercise testing electrocardiogram to investigate the degree of myocardial ischemia The patients were also studied the degree of coronary arterial stenosis before and after PTCA Results The results showed before PTCA, the degree of the patients′ coronary arterial stenosis with a period of no more than three months of MI was higher than that of those patients′ with a period of over three months( P

Objective To investigate the risk factors that worsened the pathologic course of acute ischemic stroke .Methods The clinical data of 264 patients with acute ischemic stroke treated in Shijitan hospital were analyzed retrospectively .According to the outcome ,the patients were divided into deterioration group (70 cases) and improved group(194 cases) .The clinical data ,labora-tory examination results of the patients were collected through self-made survey and compared between the two groups .The risk factors that worsened the pathologic course of acute ischemic stroke were analyzed by multiple linear regression .Results There were 42 .86% patients with hyperlipidemia history and 70 .00% with diabetes history in the deterioration group ,which were signifi-cantly higher than the improved group(P<0 .05) .The levels of glucose ,glycosylated hemoglobin ,fibrinogen ,serum ferritin ,C reac-tive protein ,low density lipoprotein cholesterol in the deterioration group were significantly higher than those in the improved group (P<0 .05) .Multiple linear regression analysis showed that hyperlipidemia history ,high level of C reactive protein ,and high level of low density lipoprotein cholesterol were the independent risk factors that worsened the pathologic course of acute ischemic stroke . Conclusion Hyperlipidemia history ,high level of C reactive protein ,and high level of low density lipoprotein cholesterol were the independent risk factors that worsened the pathologic course of acute ischemic stroke .According to these factors ,patients were e-valuated and targeted measures were made to improve the prognosis of the patients .

AIM: To investigate the levels of IL-18, IL-16, IL-8, eotaxin and the chymase activity in the sputum of asthmatics. METHODS: IL-18, IL-16, IL-8 and eotaxin levels were detected with sandwich ELISA procedures and chymase activity was determined spectrophotometrically (410 nm) by the rate of hydrolysis of N-succinyl-L-Ala-L-Ala-L-Pro-L-Phe-p-nitroanilide (SAAPP). RESULTS: The specific chymase activities in the severe and moderate asthmatics were higher than that in controls. Native protease inhibitors ?_1-antitrypsin (?_1-AT) and soybean trypsin inhibitor (SBTI) inhibited 71.9% and 72.1% enzymatic chymase activity, respectively. The levels of IL-18, IL-16, IL-8 and eotaxin were significantly elevated in the sputum of patients with acute asthma. There were correlations between the levels of IL-8 and IL-16 (r=0.55, P

Objective:To investigate the modulatory effect of IL-29 on trypsin-induced protease activated receptors (PARs) ex-pression on P815 mast cell.Methods:After P815 mast cells were challenged with different concentrations of IL-29 alone or combined with trypsin for 2 h, 6 h and 16 h, the challenged cells were collected and analysed by flow cytometry to detect the protein expression of PARs on P815 cells, and analysed by real time RT-PCR to detect the mRNA expression of PARs on P 815 cells.Results:Compared with the corresponding control , IL-29 induced significantly decreased expression of PAR-1 at protein and mRNA level on P815 cells, and upregulated PAR-3, PAR-4 mRNA level on P815 cells, whereas IL-29 did little effect on the expressions of PAR-2,3,4 at protein level on P815 cells accordingly.Preincubation of mast cell with IL-29 did not alter trypsin-induced PAR-1 expression on P815 cells, whereas up-regulated expression of PAR-2, 3, 4 were detected when P815 cell were pre-treated with IL-29 before being challenged with trypsin compared with the corresponding control .Conclusion: IL-29 can upregulate trypsin-induced PARs expression on mast cells through which participated in mast cell related inflammation .

BACKGROUND:Early detection and accurate staging diagnosis of heart failure are the basis of good clinical therapy efficacy. Due to lack of simple and effective staging model for the diagnosis of heart failure, it is difficult to diagnose heart failure in clinics, leading to poor control of heart failure. OBJECTIVE:To establish the disease staging model based on Adaboost and SVM for heart failure, and improve the accuracy of diagnosis and staging of heart failure. METHODS:A total of 194 cases were roled into this study, including heart failure patients and healthy physical examination persons. According to the stage standards formulated by American Colege of Cardiology and American Heart Association, specific clinical feature parameters closely related to heart failure were colected and selected. Based on clinical diagnosis results and using Adaboost model and SVM model, we trained the models for heart failure diagnosis and staging, thus obtaining diagnosis model. RESULTS AND CONCLUSION: The parameters included stroke volume, cardiac output, left ventricular ejection fraction, left atrial diameter, left ventricular internal diameter at end-systole, N-terminal pro-brain natriuretic peptide and heart rate variability. As for the Adaboost model, its sensitivity and specificity was 100% and 94.4%, respectively. At the same time the SVM model had good sensitivity and specificity, 86.5% and 89.4% respectively. Adaboost classification model can be accurate in the diagnosis of heart failure symptoms, the accuracy reached 89.36%. On the basis of the diagnosis of heart failure, the SVM classification model is effective in staging the severity of heart failure, staging accuracy for staging B and C was 86.49% and 81.48%, respectively. The findings indicate that, combining Adaboost and SVM machine learning models could provide an accurate diagnosis and staging model for heart failure.

Objective To investigate whether the amount of blood transfusion affects the lengths of stay (LOS),costs,and outcomes of hospital patients or not,and to prepare for the execution of patient blood management.Methods The data of hospital patients,who had been administrated with blood in our hospital during 2016,were collected.And the influence of blood transfusion volume on LOS,costs and outcomes of patients was analyzed retrospectively.Results LOS,costs and outcomes of patients vary significantly with the amount of blood transfusion (P＜0.01).There were positive correlations between the total amount of blood transfusion and LOS,costs,and outcomes of patients.The Spearman correlation coefficient was 0.317,0.497,0.290,respectively (P＜0.01).Plasma preparation transfusion volume has a great influence on LOS,costs,and outcomes than red blood cell (P＜0.05).The transfusion volume of death patients was significantly higher than that of the survival (P＜0.01).In particular,the amount of transfused plasma and precipitation was distinctly higher than that in death patients(P＜0.01).Conclusion Blood transfusion volume affects LOS,costs and outcomes of hospital patients.The administration of plasma preparations should deserve more attention.

Objective To study the prevalence of hypertension in She Chinese population of Fujian province and its epidemiological characteristics. Methods Using random sampling method to take advantage of number table, we select a sample of 5350 people who were conducted a questionnaire survey and measured weight, height, blood pressure and other indicators. Results The prevalence of hypertension in She Chinese population of Fujian province was 36. 09%, including undiagnosed number of 1374 cases. The main risk factors of hypertension were age,the level of education, BMI,saltintake. Smoking was not significant with hypertension. The prevalence rate of hypertension among people over 60 years was 63.10%, people comsumed above 8 grams of salt per day had higher pervalence than that in the goup which comsumed below 6 grams or between 6 grams to 8 grams of salt per day. Conclusions The prevalence of hypertension in She had grown rapidly. The She Chinese population should change their lifestyle and hypertension education should perform in this population.

OBJECTIVETo investigate the changes in fecal flora and its correlation with the occurrence and progression of inflammatory bowel disease (IBD).

METHODSWe collected fresh fecal specimens from 167 IBD patients (including 113 with ulcerative colitis and 54 with Crohn's disease) and 54 healthy volunteers. The fecal flora was analyzed by gradient dilution method and the data of inflammatory markers including WBC, PLT, CRP and ESR were collected to assess the association between the fecal flora and the inflammatory markers.

RESULTSThe species Enterrococcus (6.60∓0.23, P<0.01), Saccharomyces (2.22∓0.27, P<0.05), Bacteriodes (5.57∓0.28, P<0.001), Bifidobacterium (5.08∓0.30, P<0.01), Peptococcus (6.22∓0.25, P<0.001), Lactobacillus (6.00∓0.26, P<0.001), and Clostridium (3.57∓0.30, P<0.05) all increased significantly, while Eubacterium (1.56∓0.24, P<0.01) reduced markedly in patients with ulcerative colitis compared with those in the control subjects. Enterrococcus (6.93∓0.28, P<0.01), Saccharomyces (2.73∓0.37, P<0.01), Bacteriodes (4.32∓0.52, P<0.05), Bifidobacterium (4.88∓0.42, P<0.05), Peptococcus (6.19∓0.32, P<0.01) and Lactobacillus (4.73∓0.47, P<0.001) all increased significantly and Eubacterium (1.01∓0.29, P<0.01) and Clostridium (0.87∓0.31, P<0.01) decreased in patients with Crohn's disease. The positivity rates of bacterial culture were consistent with the results of quantitative analysis of the fecal flora. The changes in fecal flora did not show a significant correlation with these inflammatory markers.

CONCLUSIONIBD patients have fecal flora imbalance compared with the healthy controls, and this imbalance may contribute to the occurrence and progression of IBD. The decline of Eubacterium contributes to the occurrence and development of IBD.

Adult ; Bacteria ; isolation & purification ; Bacteroides ; isolation & purification ; Bifidobacterium ; isolation & purification ; Biomarkers ; analysis ; Clostridium ; isolation & purification ; Colitis, Ulcerative ; microbiology ; Crohn Disease ; microbiology ; Enterococcus ; isolation & purification ; Eubacterium ; isolation & purification ; Feces ; microbiology ; Female ; Humans ; Inflammatory Bowel Diseases ; etiology ; microbiology ; Lactobacillus ; isolation & purification ; Male ; Peptococcus ; isolation & purification ; Saccharomyces ; isolation & purification

Objective To investigate the changes in fecal flora and its correlation with the occurrence and progression of inflammatory bowel disease (IBD). Methods We collected fresh fecal specimens from 167 IBD patients (including 113 with ulcerative colitis and 54 with Crohn's disease) and 54 healthy volunteers. The fecal flora was analyzed by gradient dilution method and the data of inflammatory markers including WBC, PLT, CRP and ESR were collected to assess the association between the fecal flora and the inflammatory markers. Results The species Enterrococcus (6.60 ± 0.23, P<0.01), Saccharomyces (2.22 ± 0.27, P<0.05), Bacteriodes (5.57 ± 0.28, P<0.001), Bifidobacterium (5.08 ± 0.30, P<0.01), Peptococcus (6.22 ± 0.25, P<0.001), Lactobacillus (6.00±0.26, P<0.001), and Clostridium (3.57±0.30, P<0.05) all increased significantly, while Eubacterium (1.56±0.24, P<0.01) reduced markedly in patients with ulcerative colitis compared with those in the control subjects. Enterrococcus (6.93±0.28, P<0.01), Saccharomyces (2.73 ± 0.37, P<0.01), Bacteriodes (4.32 ± 0.52, P<0.05), Bifidobacterium (4.88 ± 0.42, P<0.05), Peptococcus (6.19 ± 0.32, P<0.01) and Lactobacillus (4.73±0.47, P<0.001) all increased significantly and Eubacterium (1.01±0.29, P<0.01) and Clostridium (0.87±0.31, P<0.01) decreased in patients with Crohn's disease. The positivity rates of bacterial culture were consistent with the results of quantitative analysis of the fecal flora. The changes in fecal flora did not show a significant correlation with these inflammatory markers. Conclusion IBD patients have fecal flora imbalance compared with the healthy controls, and this imbalance may contribute to the occurrence and progression of IBD. The decline of Eubacterium contributes to the occurrence and development of IBD.

Objective To investigate the changes in fecal flora and its correlation with the occurrence and progression of inflammatory bowel disease (IBD). Methods We collected fresh fecal specimens from 167 IBD patients (including 113 with ulcerative colitis and 54 with Crohn's disease) and 54 healthy volunteers. The fecal flora was analyzed by gradient dilution method and the data of inflammatory markers including WBC, PLT, CRP and ESR were collected to assess the association between the fecal flora and the inflammatory markers. Results The species Enterrococcus (6.60 ± 0.23, P<0.01), Saccharomyces (2.22 ± 0.27, P<0.05), Bacteriodes (5.57 ± 0.28, P<0.001), Bifidobacterium (5.08 ± 0.30, P<0.01), Peptococcus (6.22 ± 0.25, P<0.001), Lactobacillus (6.00±0.26, P<0.001), and Clostridium (3.57±0.30, P<0.05) all increased significantly, while Eubacterium (1.56±0.24, P<0.01) reduced markedly in patients with ulcerative colitis compared with those in the control subjects. Enterrococcus (6.93±0.28, P<0.01), Saccharomyces (2.73 ± 0.37, P<0.01), Bacteriodes (4.32 ± 0.52, P<0.05), Bifidobacterium (4.88 ± 0.42, P<0.05), Peptococcus (6.19 ± 0.32, P<0.01) and Lactobacillus (4.73±0.47, P<0.001) all increased significantly and Eubacterium (1.01±0.29, P<0.01) and Clostridium (0.87±0.31, P<0.01) decreased in patients with Crohn's disease. The positivity rates of bacterial culture were consistent with the results of quantitative analysis of the fecal flora. The changes in fecal flora did not show a significant correlation with these inflammatory markers. Conclusion IBD patients have fecal flora imbalance compared with the healthy controls, and this imbalance may contribute to the occurrence and progression of IBD. The decline of Eubacterium contributes to the occurrence and development of IBD.