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Liu, J., Lv, B. and Yan, Y. (2013) China Mycobacterium Tuberculosis and Double HIV Infection Rate Analysis. Chinese Journal Epidemiology, 34, 85-90.

has been cited by the following article:

  • TITLE: Investigation and Analysis on Pathogen Distribution of HIV/AIDS Patients with Opportunistic Infection

    AUTHORS: Lida Mo, Guosheng Su, Jiang Lan, Fengyao Wu, Xiaolu Luo, Hanzhen Su

    KEYWORDS: HIV/AIDS Patients, Opportunistic Infection, Pathogen, Infection, Distribution

    JOURNAL NAME: Advances in Infectious Diseases, Vol.5 No.4, November 30, 2015

    ABSTRACT: Objective: This study aims to understand the distribution of pathogenic bacteria in the region of HIV/AIDS patients with opportunistic infection. Methods: To count the number of the bacterial culture of HIV/AIDS patients in our hospital from October 2011 to December 2014, and observe the distribution of all kinds of pathogenic bacteria. Results: From the 4269 cases of HIV/AIDS patients’ bacteria, 5045 cases were cultured whose main flora distribution wasCandida albicans, 1759 cases. The second one was penicillium, 982 cases. The third one was mycobacteria, 557 cases. And then there are 213 cases ofCryptococcus neoformans, 212 cases ofKlebsiella pneumonia, 209 cases ofE. coli, 157 cases of coagulase-negative staphylococci, 112 cases ofCandida tropicalis, 90 cases of glabrata, 81 cases ofStaphylococcus aureus, 75 cases ofPseudomonas aeruginosa, 60 cases of Salmonella, 48 cases of Acinetobacter and the distribution of the rest of cultured bacterial was less than 40 cases. Conclusion: There are many kinds of types of Pathogenic bacteria in HIV/AIDS patients with the opportunity to infectious. And the majorities areCandida albicans,Penicillium marneffei,Penicillium,Mycobacterium,Cryptococcus neoformansand so on. The infection sites are widely distributed; respiratory and circulatory are the main infected system. Improving the detection rate and reducing the contamination rate can truly reflect the distribution of pathogenic bacteria, and the distribution can guide the infection work in hospital. At the same time, it’s good to predict and prevent opportunistic infection. Thus, the patients can get immediate treatment.