Antineoplastic Agents, Phytogenic ; adverse effects ; therapeutic use ; Chemical and Drug Induced Liver Injury ; prevention & control ; Female ; Glutathione ; therapeutic use ; Humans ; Male ; Middle Aged ; Paclitaxel ; adverse effects ; therapeutic use

OBJECTIVE To understand the bacterial spectrum distribution of sputum among the lung infection patients in our hospital and their resistance mechanisms for the reasonable clinical application of antibiotics to effectively prevent the occurrence of nosocomial infections. METHODS The pathogens isolated from the sputum of patients were identified with pathogen micro-biochemical identification code and the commonly used antibiotics were detected by drug sensitivity tests. RESULTS From 415 samples of the sputum,537 strains were detected out,from them Gram-positive cocci accounted for 70.8%,Gram-negative bacteria accounted for 28.1%,and Candida albicans accounted for 1.1%;MRSA was in 18 strains and ESBLs 6 strains. CONCLUSIONS It is important to sputum culturing for lung infection patients and determining the pathogen species and in their drug susceptibility results,the in order to rationally use the antibiotics and enhance the effectiveness of treatment.

Objective To explore the association between the genetic polymorphism of CYP3A4,CYP2D6 and response to methadone maintenance treatment(MMT)among heroin-dependent patients.Methods Patients undergoing MMT in 6 MMT clinics were randomly selected,information about general socia-demographic characteristics,drug abuse history,and MMT data of patients were collected,genotypes of peripheral blood CYP3A4 and CYP2D6 polymorphic loci were detected.Results A total of 820 patients were enrolled in the study,210 cases were with good response and 610 cases with poor response to MMT.Difference in age between different response groups was statistically significant(P<0.05).Distribution of genotype frequency and allele frequency of CYP3A4 rs2242480 and CYP2D6 rs16947 between good response and poor response groups was not significantly different(both P>0.05).Conclusion The association between CYP3A4 rs2242480,CYP2D6 rs16947 and response to MMT has not yet found in heroin-dependent patients.

Objective This study is based on the physicians'appraisal system upon HIS system to annually assess the associate chief physicians in clinical departments in the mode of attending in charge. Methods 74 doctors above the title of associate chief physician from 14 departments in such mode were selected as objects of study and evaluated upon relative requirement of the performance appraisal index system by means of brainstorming,expert consulting and so on to confirm the content,standard and scoring method of appraisal.Work efficiency index and work amount can be acquired out of HIS system, while details and problems during the assessment can be dealt together with clinical practice.Finally all index and results were collected through HIS system and total scores of relative doctor can be automatically calculated.SPSS 13.0 statistics software also can be used to descriptively analyze the frequency and percentage data.Results The total appraisal scores and scores in every grade of the 74 doctors,who are attending in charge with title above associate chief physician as well as bearing the same responsibility in both medicine and surgery department,were collected,analyzed and respectively ranked respectively.Conclusion The results of appraisal basically indicate general level of the doctors,as well as provide strong evidence for enhancing human resource management of the hospital, which will continuously improve the basis for assessment to performance of associate chief physician under mode of attending in charge,as well as collect experiences for deeply optimizing program of assessment system.

Objective To explore effects of parents exposure to TBT on blood routine of F1 generation mice. Methods 80 mice including 40 males and 40 females, were randomly divided into control groups (CK) , low dose groups (LTBT), middle dose groups (MTBT) and high dose groups (HTBT).They were given dose of TBT (0,0.2,2, 20μg/kg) every day.The experiment lasted 45 days.At 60 days, one female and one male of the same concentration were bred in the same cage according to 1∶1.At postnatal day 60, blood was collected for the determination of blood routine. Results Compared with control group, the number of red blood cells and hemoglobin of F1 generation male mice in LTBT and HTBT groups were significantly increased (P <0.01); Red blood cell volume, mean corpuscular hemoglobin (P <0.01), and the lymphocyte absolute value in F1 generation male LTBT were significantly reduced (P <0.05); HTBT of female mice were significantly increased about the number of red blood cells (P <0.01).A dose-dependent increase of the hemoglobin, red blood cells, and platelet count of F1 generation female experimental groups was observed.Conclusion Parental TBT exposure affects the F1 mice blood routine.There is the greatest influence on LTBT in F1 generation male mice and on HTBT in F1 generation female mice.

ST segment morphology is closely related to cardiovascular disease. It is used not only for characterizing different diseases, but also for predicting the severity of the disease. However, the short duration, low energy, variable morphology and interference from various noises make ST segment morphology classification a difficult task. In this paper, we address the problems of single feature extraction and low classification accuracy of ST segment morphology classification, and use the gradient of ST surface to improve the accuracy of ST segment morphology multi-classification. In this paper, we identify five ST segment morphologies: normal, upward-sloping elevation, arch-back elevation, horizontal depression, and arch-back depression. Firstly, we select an ST segment candidate segment according to the QRS wave group location and medical statistical law. Secondly, we extract ST segment area, mean value, difference with reference baseline, slope, and mean squared error features. In addition, the ST segment is converted into a surface, the gradient features of the ST surface are extracted, and the morphological features are formed into a feature vector. Finally, the support vector machine is used to classify the ST segment, and then the ST segment morphology is multi-classified. The MIT-Beth Israel Hospital Database (MITDB) and the European ST-T database (EDB) were used as data sources to validate the algorithm in this paper, and the results showed that the algorithm in this paper achieved an average recognition rate of 97.79% and 95.60%, respectively, in the process of ST segment recognition. Based on the results of this paper, it is expected that this method can be introduced in the clinical setting in the future to provide morphological guidance for the diagnosis of cardiovascular diseases in the clinic and improve the diagnostic efficiency.
Algorithms ; Arrhythmias, Cardiac ; Databases, Factual ; Electrocardiography/methods* ; Humans ; Support Vector Machine

Lung nodules are the main manifestation of early lung cancer. So accurate detection of lung nodules is of great significance for early diagnosis and treatment of lung cancer. However, the rapid and accurate detection of pulmonary nodules is a challenging task due to the complex background, large detection range of pulmonary computed tomography (CT) images and the different sizes and shapes of pulmonary nodules. Therefore, this paper proposes a multi-scale feature fusion algorithm for the automatic detection of pulmonary nodules to achieve accurate detection of pulmonary nodules. Firstly, a three-layer modular lung nodule detection model was designed on the deep convolutional network (VGG16) for large-scale image recognition. The first-tier module of the network is used to extract the features of pulmonary nodules in CT images and roughly estimate the location of pulmonary nodules. Then the second-tier module of the network is used to fuse multi-scale image features to further enhance the details of pulmonary nodules. The third-tier module of the network was fused to analyze the features of the first-tier and the second-tier module of the network, and the candidate box of pulmonary nodules in multi-scale was obtained. Finally, the candidate box of pulmonary nodules under multi-scale was analyzed with the method of non-maximum suppression, and the final location of pulmonary nodules was obtained. The algorithm is validated by the data of pulmonary nodules on LIDC-IDRI common data set. The average detection accuracy is 90.9%.