Objective To evaluate the performance of DNA microarray for rapid detection resistance to rifampin and isoniazid in Mycobacterium tuberculosis clinical isolates and identify suitable target sites for molecular genetic test.Methods Twenty-four clinical Mycobacterium tuberculosis isolates were collected retrospectively from Shenzhen Center for Chronic Disease Control in 2009 and 127 isolates from project on anti-tuberculosis drug resistance surveillance in Shenzhen during 2007 to 2009.Drug susceptibility to rifampin and isoniazid of the stains were determined by DNA microarray,and results were compared to that obtained with reference proportion method drug susceptibility testing for sensitivity,specificity and accuracy.The consistency of microarray and phenotypic susceptibility testing was evaluated by Kappa test.Genetic mutations in rpoB,katG,inhA,regulatory region of inhA,and regulatory region of ahpC were investigated by DNA sequencing to assess proper loci for rapid molecular diagnosis.Results Compared against results of proportion method,the sensitivity,specificity and accuracy of the DNA microarray assay for rifampin resistance were 94.4％,97.5％ and 96.0％ respectively,and for isoniazid resistance were 79.1％,100％ and 86.8％ respectively.Mutations in resistance-determining region of rpoB were observed in 97.2％ (70/72) of the isolates resistant to rifampin,which contributed in the 531,526,516,511 and 533codon region.Mutations in katG315 codon,inhA-15,and ahpC regulatory region were found in 70.3％ (64/91),11.0％ (10/91) and 9.9％ (9/90) of the isolates resistant to isoniazid,respectively.Mutations of ahpC promoter region consists of ahpC-9 (4 strains),ahpC-10 (2 strains),ahpC-6 (2 strains),ahpC-12 (1 strain),and ahpC-32 (1 strain).Conclusions DNA microarray provided a rapid method for the detection of drug-resistant Mycobacterium tuberculosis isolates,and demonstrated good performance except less sensitive for isoniazid resistance.The mutations in ahpC regulatory region might be good target loci for detection of isoniazid-resistant Mycobacterium tuberculosis,so screening the region may significantly improve the sensitivity for molecular genetic tests.

The management system of work attendance is developed by the support of local area network of No.1 Military Medical Project and by the use of PowerBuilder. The system is applied to record work attendance on net, by which the management department can check work attendance of all departments of our hospital at any time. The application of the system realizes the management of work attendance on network, enhances work efficiency and avoids trivial manual work of count and collection.

Abstract: Objective To compare the diagnostic efficacy of the upgraded version of the GeneXpert automated fluorescent quantitative PCR system (GeneXpert MTB/RIF Ultra, GeneXpert Ultra) and the original version of the GeneXpert system (GeneXpert MTB/RIF, Xpert), real-time fluorescent quantitative nucleic acid detection (FQ-PCR), real-time fluorescent thermostatic amplification of Mycobacterium tuberculosis RNA (SAT-RNA), real-time fluorescent thermostatic amplification detection of DNA (thermostatic amplification method) and traditional BACTEC MGIT 960 liquid culture (culture method) for special specimens of tuberculosis, in order to analyze its application value in clinical detection. Methods Using prospective research methods, a total of 170 special specimens (including 47 pleural and ascites effusion samples, and 34 24-hour urinary sediment specimens, 49 tissue specimens and 40 fester specimens) were collected i'an Chest Hospital from January to September 2021. GeneXpert Ultra, Xpert, FQ-PCR, SAT-RNA, isothermal amplification, and traditional culture were used for detection. Clinical diagnosis was used as the standard, and sensitivity, specificity, positive predictive value, negative predictive value, coincidence rate, and Kappa value were compared among the methods. Results The sensitivities of GeneXpert Ultra, Xpert, FQ-PCR, SAT-RNA, isothermal amplification, and traditional culture were 65.18% (73/112), 49.11% (55/112), 37.50% (42/112), 19.64% (22/112), 8.04% (9/112), and 22.32% (25/112), respectively. The sensitivity of GeneXpert Ultra was higher than that of the other five methods, and the differences were statistically significant (χ2=66.25, 42.10, 28.89, 13.09, 4.92, 15.18, all P<0.05). GeneXpert Ultra result analysis showed that: 5.48%(4/73) cases had trace, that is, trace Mycobacterium tuberculosis load, 79.45% (58/73) cases were extremely low, 10.96% (8/73) cases were low, 2.74% (2/73) were medium, , and 1.36% (1/73) were high load. In 4 trace samples, the Xpert detection was negative for all. Of the 73 GeneXpert Ultra positive reports, 63 were rifampicin-sensitive, 6 were rifampicin-resistant, and 4 were rifampicin-resistant but of unclear resistance. Of the 55 Xpert positive reports, 45 were rifampicin-sensitive, 2 were rifampicin-resistant, and 8 were rifampicinresistant but of unclear resistance.. Conclusions The new generation of GeneXpert MTB/RIF Ultra has high sensitivity, specificity and drug resistance detection rate, and its advantage is even more apparent in the pathogenic diagnosis of special specimens of tuberculosis. It can be used as one of the preferred methods in samples with low bacterial load.

Objective To explore the key issues and future trends of transitional care. Methods CNKI, the Wanfang Database, VIP and SinoMed from 2002 to 2018 were searched with words of"Transitional Care", and BICOBM2.0 was used to extract high frequency words and form the co-word matrix, and gCLUTO1.0 was used to do cluster analysis, to create matrix visualization and mountain visualization. Results A total of 5376 articles were retrieved, and 12931 subject terms were extracted, and 29 high frequency key words were obtained. The key issues of these studies were: transitional care used in anxiety and depression;transitional care used in rehabilitation;transitional care used in improving the quality of life of old people with chronic diseases; transitional care used in improving the self-care ability and of health behavior of people with chronic diseases;information technology used in transitional care. Conclusion Researches of transitional care in China are developing rapidly and the fields are growing well. The research on anxiety, depression, rehabilitation of stroke and quality of life has been mature, and there still have expansion capacity for transitional care in self-care ability, health behavior and informatization.