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Volume 14 Issue 3
May  2023
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ZHANG Li, KANG Mei, CHEN Zhongju, CAO Cunwei, MA Ling, ZHU Min, JIN Yan, XIA Yun, CHU Yunzhuo, LIU Wenen, GUO Dawen, HUANG Ying, DUAN Jinju, WANG Junrui, XU Xuesong, MA Xiaoling, LI Bin, LIAO Kang, ZHU Pengfei, WANG Yao, XU Yingchun, MING Liang. Epidemiology of Clinical Mold Infections in China: A Multicenter Retrospective Study[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(3): 559-565. DOI: 10.12290/xhyxzz.2022-0654
Citation: ZHANG Li, KANG Mei, CHEN Zhongju, CAO Cunwei, MA Ling, ZHU Min, JIN Yan, XIA Yun, CHU Yunzhuo, LIU Wenen, GUO Dawen, HUANG Ying, DUAN Jinju, WANG Junrui, XU Xuesong, MA Xiaoling, LI Bin, LIAO Kang, ZHU Pengfei, WANG Yao, XU Yingchun, MING Liang. Epidemiology of Clinical Mold Infections in China: A Multicenter Retrospective Study[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(3): 559-565. DOI: 10.12290/xhyxzz.2022-0654
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Epidemiology of Clinical Mold Infections in China: A Multicenter Retrospective Study

  • 1.

    Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

  • 2.

    Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu 610041, China

  • 3.

    Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

  • 4.

    Department of Dermatology and Venereology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China

  • 5.

    Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China

  • 6.

    Medical Mycology Center, Department of Dermatology, Huashan Hospital, Fudan University, Shanghai 200040, China

  • 7.

    Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China

  • 8.

    Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

  • 9.

    Department of Clinical Laboratory, The First Hospital of China Medical University, Shenyang 110001, China

  • 10.

    Department of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha 410008, China

  • 11.

    Department of Clinical Laboratory, the First Affiliated Hospital of Harbin Medical University, Harbin 110015, China

  • 12.

    Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China

  • 13.

    Department of Pharmacy, the Second Hospital of Shanxi Medical University, Taiyuan 030013, China

  • 14.

    Affiliated Hospital of Inner Mongolian Medical University, Hohhot 010050, China

  • 15.

    Department of Clinical Laboratory, China-Japan Union Hospital of Jilin University, Changchun 130033, China

  • 16.

    Department of Clinical Laboratory, The First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei 230001, China

  • 17.

    Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou 350001, China

  • 18.

    Department of Clinical Laboratory, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China

  • 19.

    Department of Clinical Laboratory & Key Clinical Laboratory of Henan province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China

Funds: 

National Natural Science Foundation of China 82172351

National High Level Hospital Clinical Research Funding 2022-PUMCH-A-137

CAMS Innovation Fund for Medical Sciences 2021-I2M-1-044

More Information
  • Corresponding author:

    MING Liang, E-mail: mingliang@zzu.edu.cn

  • Received Date: November 15, 2022
  • Accepted Date: December 18, 2022
  • Available Online: February 06, 2023
  • Issue Publish Date: May 29, 2023
    Graphical Abstract
    • Abstract
  •   Objective  To study the epidemiology of mold infections in China.
      Methods  Based on the surveillance data of 19 hospitals participating in the China Hospital Invasive Fungal Surveillance Net from Jan 2019 to Jun 2022, the general information of patients and the epidemiological characteristics such as the proportion of different strains and clinical infection were analyzed by WHONET software.
      Results  A total of 16 285 mold infection cases were included in the analysis, of which 49.3% were patients aged 61 and over, with the median age of 60 years old. The proportion of males was significantly higher than that of females (62.1% vs. 37.9%). The patients were mainly from the internal medicine, ICU and surgical wards. Most strains were isolated from lower respiratory tract, accounting for 81.7%, followed by pus and secretions (7.8%). In terms of species distribution, Aspergillus spp. accounted for the highest proportion (84.8%), with Penicillium spp., Fusarium spp., order Mucorales and Sedosporium spp. accounting for 5.1%, 3.0%, 1.3% and 0.4%, respectively. For species distribution among different mold infection, 88.7% of lower respiratory tract mold infections were caused by Aspergillus spp., and Aspergillus fumigatus(47.8%) was the most common species. Otomycosis was mainly caused by Aspergillus spp.(98.7%), of which Aspergillus terreus accounted for 39.7%, and ophthalmomycosis was mainly caused by Fusarium spp.(54.6%).
      Conclusions  By the retrospective analysis of mold isolation from multicenter in China, we found that Aspergillus fumigatus, Aspergillus terreus, and Fusarium spp. were the most common species causing pneumonomycosis, otomycosis, and ophthalmomycosis, respectively. Therefore, it is necessary to pay attention to the differences in species distribution among different mold infections in clinical empirical treatment of fungal infections.
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    • References (20)
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