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Chinese Journal of Mycology 2018, Vol. 13  Issue (4): 229-234.

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The study of the pathogenic spectrum and epidemiologic features of invasive fungal infection in China during 2008-2017

HE Xiao-yang1, REN Qiu-xia2, YANG Ying1   

  1. 1. Beijing institute of radiation medicine, Beijing, 100850;
    2. No.302 hospital of PLA, Beijing, 100039
  • Received:2018-06-14 Online:2018-08-28 Published:2018-08-28

Abstract:

Objective To explore the pathogenic spectrum and the epidemiologic features of invasive fungal infection in China during 2008-2017.Methods All the related literature of deep mycosis reported from Jan.2008-Dec. 2017 in CNKI and Wanfang database were searched and analyzed by Excel 2007,retrospectively. Results 94526 cases from 464 articles published in hospitals at all levels in China were obtained, involving more than 20 clinical specimens and more than 27 infected sites. In the past 10 years, the spectrum of the pathogenic fungi in China were generally stable, there were 9 species of the main pathogenic fungi, including Candida, Aspergillus, Penicillium, Cryptococcus and Sporotrichosis. Candida albicans was the most common specie of the pathogen fungi, accounting for 92% of the total number of cases, meanwhile, the proportion of Candida albicans account for 65% of the total Candida, However, the ratio of Candida albicans infection decreased by 12% in 10 years; respiratory tract and lung were the most frequent sites of pathogenic fungal infection; the Yangtze River region and Lingnan region in warm and humid climate were the most often reported area of deep mycosis. Conclusion In the past 10 years, the main pathogenic fungi of invasive fungal infection in China were Candida, of which Candida albicans was the prominent fungal pathogen but with a downward trend, respiratory and lung were the most reported infection sites, the population structure of pathogen fungi in most areas of China were similar, and the Yangtze River region and Lingnan region in warm and humid climate were the main areas of deep mycosis.

Key words: deep mycosis, retrospective analysis, pathogenic spectrum, epidemiologic feature

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