Suppr超能文献

[广东省深圳市非结核分枝杆菌相关生态环境的流行病学研究]

[An epidemiological study on the ecological environment related to Nontuberculous mycobacteria in Shenzhen city of Guangdong province].

作者信息

Lin Shi-ping, Yang Ying-zhou, Tan Wei-guo, Cheng Jin-quan, Luo Dao-quan

机构信息

Shenzhen Municipal Center for Prevention and Control of Chronic Diseases, Shenzhen 518020, China.

出版信息

Zhonghua Liu Xing Bing Xue Za Zhi. 2007 May;28(5):430-2.

Abstract

OBJECTIVE

To investigate the distribution of Nontuberculous mycobacteria in the environment of Shenzhen city and its related sensitivity to drugs.

METHODS

145 samples in the environment of Shenzhen city were collected and the samples were isolated, identified and its drug sensitivity were detected according to the "Procedure of Bacteriological Determination Regulation for Tuberculous Diagnosis", issued in 1995 by the Antituberculosis Association of China.

RESULTS

All together, 53 strains of Mycobacteria were detected from the 145 sample, including 6 of them isolated from the polluted water in the hospital before disinfected, 4 from the polluted water in the hospital after disinfected, 4 from the dirt of air condition in the hospital, 34 from the polluted water in the residential area, 3 from the ocean water and 2 from the fountain. M. nonchromogenicum, M. avium, M. fortuitum, M. gordonae, M. genavense, M. chelonae and M. intracellulare were identified.

CONCLUSION

Nontuberculous mycobacteria seemed to widely exist in the environment of Shenzhen city and the ratio of drug-resistant was high. Attention should be paid to the influence of Nontuberculous mycobacteria on humans in order to formulate effective control measure.

摘要

目的

调查深圳市环境中非结核分枝杆菌的分布情况及其对药物的敏感性。

方法

采集深圳市环境中的145份样本,按照中国防痨协会1995年发布的《结核病诊断细菌学检验规程》对样本进行分离、鉴定及药敏检测。

结果

145份样本中共检测出53株分枝杆菌,其中6株分离自医院消毒前的污水,4株分离自医院消毒后的污水,4株分离自医院空调污垢,34株分离自居民区污水,3株分离自海水,2株分离自喷泉。鉴定出非产色分枝杆菌、鸟分枝杆菌、偶然分枝杆菌、戈登分枝杆菌、日内瓦分枝杆菌、龟分枝杆菌和胞内分枝杆菌。

结论

非结核分枝杆菌似乎在深圳市环境中广泛存在,且耐药率较高。应关注非结核分枝杆菌对人类的影响,以便制定有效的控制措施。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验