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ORIGINAL RESEARCH article

Front. Cell. Infect. Microbiol.
Sec. Fungal Pathogenesis
Volume 15 - 2025 | doi: 10.3389/fcimb.2025.1504866

Nineteen Years Retrospective Analysis of Epidemiology, Antifungal Resistance and a Nomogram Model for 30-day Mortality in Nosocomial Candidemia Patients

Provisionally accepted
Zhang Dai Zhang Dai 1Xunhong Lan Xunhong Lan 1*Yunhui Liao Yunhui Liao 2*Jingwen Zhang Jingwen Zhang 1*Naifang Ye Naifang Ye 3*Jiajia Wang Jiajia Wang 1*Yun Xiao Yun Xiao 1*Xinxin Lu Xinxin Lu 1*Yan Zhang Yan Zhang 1*Yihui Yao Yihui Yao 1*Xian-Ming Liang Xian-Ming Liang 2*
  • 1 Zhongshan Hospital, Xiamen University, Xiamen, China
  • 2 Xiamen Hospital of Traditional Chinese Medicine, Xiamen, Fujian Province, China
  • 3 Second Hospital of Anhui Medical University, Hefei, Anhui Province, China

The final, formatted version of the article will be published soon.

    The incidence of nosocomial candidemia has increased in recently years, however, the epidemiological data remain insufficient in China.A total of 234 candidemia patients were included from Xiamen University Zhong Shan hospital between January 2006 and October 2024. Incidence, species proportion, distribution, antifungal drug resistance of candidemia was analyzed. A nomogram model for 30-day morbidity of candidemia was determined using the least absolute shrinkage and logistic regression analysis.The incidence of candidemia increased in recent years (2020: 0.025%, 2021: 0.029%, 2023:0.022%). The dominant species of candidemia were Candida albicans (n=99,42.31%), Candida parapsilosis (n=47,20.09%), Candida tropicalis (n=43,18.38%), Candida glabrata (n=31,13.25%). Departments with a higher detection of candidemia included intensive care unit (n=55), emergency department (n=24) and hepatobiliary surgery (n=22).Candida tropicalis performed the highest resistance to azole (fluconazole: 55.81%, voriconazole:55.00% and itraconazole:58.14%). The resistance of Candida albicans to fluconazole, voriconazole and itraconazole were 32.32%, 23.53% and 31.31%.The mortality rate of 30-day discharge for candidemia reached 52.99%. 205 cases of candidemia patients from January 2006 to December 2023 were included as the training set, while 29 cases of candidiasis patients from January to October 2004 were included as the validation set. Five independent factors included Candida albicans, decreased albumin, multiple organ dysfunction syndrome, solid tumor and septic shock were adopted in a nomogram for 30-days mortality of candidemia. In the training set, the area under curve was 0.866 (95%CI: 0.817-0.916), the optimal cutoff value was 0.617, the sensitivity was 80% and the specificity was 80.4%. In the validation set, the area under curve was 0.808 (95%CI:0.737-0.970), the optimal cutoff value was 0.543, The sensitivity was 72.7% and the specificity was 83.3%.The incidence of nosocomial candidemia has risen in recent years. Candida albicans remains the primary species, with the highest incidence is intensive care unit. Candida tropicalis exhibits the highest resistance rate to azole drugs. A nomogram predicting 30-day mortality discharge for candidemia patients has been constructed, and the independent risk factors including Candida albicans, multiple organ dysfunction syndrome, septic shock, solid tumors, and decreased albumin.

    Keywords: Candidemia, Candida albicans, Resistance rate, Mortality, nomogram

    Received: 01 Oct 2024; Accepted: 08 Jan 2025.

    Copyright: © 2025 Dai, Lan, Liao, Zhang, Ye, Wang, Xiao, Lu, Zhang, Yao and Liang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Xunhong Lan, Zhongshan Hospital, Xiamen University, Xiamen, China
    Yunhui Liao, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, 361100, Fujian Province, China
    Jingwen Zhang, Zhongshan Hospital, Xiamen University, Xiamen, China
    Naifang Ye, Second Hospital of Anhui Medical University, Hefei, 230601, Anhui Province, China
    Jiajia Wang, Zhongshan Hospital, Xiamen University, Xiamen, China
    Yun Xiao, Zhongshan Hospital, Xiamen University, Xiamen, China
    Xinxin Lu, Zhongshan Hospital, Xiamen University, Xiamen, China
    Yan Zhang, Zhongshan Hospital, Xiamen University, Xiamen, China
    Yihui Yao, Zhongshan Hospital, Xiamen University, Xiamen, China
    Xian-Ming Liang, Xiamen Hospital of Traditional Chinese Medicine, Xiamen, 361100, Fujian Province, China

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