Carbapenems ; pharmacology ; Drug Resistance, Bacterial ; Humans ; Klebsiella Infections ; drug therapy ; microbiology ; Klebsiella pneumoniae ; drug effects

Objective To evaluate the performance of T-SPOT.TB Test and serological tuberculosis antibody(TB-Ab) in tuberculosis-assisted diagnosis.Methods Patients were diagnosed as tuberculosis from 2015 January to 2016 March in the hospital.T-SPOT.TB and tuberculosis antibody detection were performed for those patients.Results In 112 cases of tuberculosis patients,101 cases of T-SPOT.TB test were positive and the sensitivity was 90.18%,32 cases of tuberculosis antibody detection were positive and the sensitivity was 28.57%.In 41 cases of pulmonary tuberculosis,T-SPOT.TB assay showed positive results in 40 patients and the sensitivity was 97.56%,tuberculosis antibody detection showed positive results in 18 patients and the sensitivity was 43.9%;in 71 cases of extrapulmonary tuberculosis,T-SPOT.TB assay showed positive results in 61 patients and the sensitivity was 85.91%,tuberculosis antibody detection showed positive results in 14 patients and the sensitivity was 19.7%.Conclusion T-SPOT.TB was superior to serological tuberculosis antibody(TB-Ab),and the diagnosis of active tuberculosis was higher,and the sensitivity of T-SPOT.TB was higher than that of T-SPOT.TB value.

Chronic constipation(CC)is one of the most common gastrointestinal disorders. Treatment of CC includes drug and non-drug treatment. Biofeedback(BF)is a psychological behavior therapy and has become the first-line therapy of CC. However,the efficacy of BF reported varied substantially. This article reviewed the evaluation of efficacy of BF on CC.

Adult ; Electrolysis ; Humans ; Lipid Peroxidation ; drug effects ; Male ; Middle Aged ; Nickel ; adverse effects ; blood ; pharmacokinetics ; Occupational Exposure ; adverse effects

Humans ; Infant ; Job Syndrome ; diagnosis ; immunology ; therapy ; Male

Humans ; Infant, Newborn ; Male ; Meningitis, Bacterial ; physiopathology ; Seizures ; etiology ; Tuberculosis, Meningeal ; physiopathology

Objective:To observe the therapeutic effect of ‘Three Steps to Regulate Qi Method’ tuina for infantile cough.
Methods:Fifty-one children with cough were enrolled and received ‘Three Steps to Regulate Qi Method’ tuina, once a day for 5 d. The effects were observed after 5 treatments.
Results:There was no dropout case during the process. Among the 51 infantile patients, 37 cases were cured, 14 cases were improved, and the total effective rate was 100%.
Conclusion:'Three Steps to Regulate Qi Method’ tuina is an effective, simple and convenient method for infatile cough and worth spreading in clinical application.

Objective To investigate the risk factors for hip fracture in elderly people in Ningbo,in order to provide the basis for prevention and treatment of hip fracture.Methods A case-control study were conducted in study on 450 cases of hip fracture patients aged over 60 years in Ningbo and 450 subjects of control as 1 ∶ 1 matched case control study.A univariate analysis of hip fracture was performed by x2 test.Risk factors for hip fracture were analyzed by logistic regression.Results Poor self-care ability (OR=5.05),light manual labor occupation (OR=4.10),history of cerebrovascular events (OR=2.59),smoking (OR=2.14) were the risk factors for hip fracture in elderly men,while poor self-care ability (OR=11.36),light manual labor occupation (OR=2.41),osteoporosis (OR=3.19),early menopause (OR=6.89),low body mass index (OR=5.05) were the risk factors for hip fracture in elderly women.The protective factors for hip fracture was milk uptake (OR=0.29) Conclusions Early interventions for hip fracture risk factors,and prevention and treatment of osteoporosis can help reduce the occurrence of hip fracture.

Gene regulatory networks (GRN), which focuses on the complex interactions of genes in life, is an important part in the study of the functional genomics and is the frontier of bioinformatics research. Application of gene-chip technique in bioinformatics provides a great number of basic data for the research of GRN. This paper reviews the origin and recent development of GRN, explicates the preconditions and rationales for construction of GRN, and analyzes several classic GRN models: Boolean networks, linear models, non-linear models and Bayesian networks. The rationales, basic algorithms, advantages, disadvantages and applicability of the models are reviewed based on the characteristics of gene-chip data.