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ORIGINAL RESEARCH article

Front. Cell. Infect. Microbiol.
Sec. Clinical Microbiology
Volume 14 - 2024 | doi: 10.3389/fcimb.2024.1502529

Development a risk prediction nomogram for multidrug-resistant bacterial and fungal infection in gastrointestinal fistula patients during the Perioperative period

Provisionally accepted
Mingming Yin Mingming Yin 1Haoyi Zheng Haoyi Zheng 1,2Lifeng Xu Lifeng Xu 1*Rong Jin Rong Jin 1*Xiangyang Wang Xiangyang Wang 1*Yi Man Yi Man 1*Kai Xu Kai Xu 1*Ruan Qiang Ruan Qiang 1Ting Wang Ting Wang 1*Kai Guo Kai Guo 1*Zheng Zhou Zheng Zhou 1*Wenyong Wu Wenyong Wu 1*Guosheng Gu Guosheng Gu 1,2*
  • 1 Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China
  • 2 Bengbu Medical College, Bengbu, Anhui Province, China

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

    Background: This study aims to develop a risk prediction model for multidrug-resistant bacterial and fungal infections in patients with gastrointestinal fistulas during the perioperative period.Methods: A retrospective cohort study was conducted at Anhui No. 2 Provincial People's Hospital from January 2022 to July 2024. We analyzed the distribution, resistance patterns, and mechanisms of multidrug resistance. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors. A nomogram was constructed based on these risk factors, and its performance was evaluated using calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA).3 Results: A total of 266 patients were included, with 157 (59.02%) testing positive for multidrug-resistant infections. We isolated 329 pathogenic strains: 84 Gram-positive (25.53%), 215 Gram-negative (65.35%), and 30 fungal strains (9.11%). The most common isolate was Klebsiella pneumoniae (57 strains, 17.33%). Patients were divided into a training cohort (n = 177) and a validation cohort (n = 89). Multivariate analysis identified six key indicators: secondary surgery, length of hospital stay, preoperative white blood cell (WBC) count, preoperative neutrophil count, postoperative WBC count, and postoperative C-reactive protein (CRP) levels. The nomogram demonstrated excellent predictive ability, with an area under the curve (AUC) of 0.905 in the training cohort and 0.793 in the validation cohort. Calibration curves indicated high consistency between predicted probabilities and observed values. DCA confirmed the clinical utility of the nomogram. 4 Conclusion: Our study shows that multidrug-resistant infections in patients with gastrointestinal fistulas are predominantly caused by Gram-negative bacilli, especially 设置了格式: 上标 carbapenem-resistant Enterobacteriaceae. Key risk factors include secondary surgery and various blood count parameters. The developed nomogram provides robust predictive accuracy, aiding healthcare providers in implementing targeted infection prevention strategies.

    Keywords: Multidrug-resistant infections, Gastrointestinal fistulas, Gram-negative bacilli, nomogram, Perioperative Period

    Received: 27 Sep 2024; Accepted: 07 Nov 2024.

    Copyright: © 2024 Yin, Zheng, Xu, Jin, Wang, Man, Xu, Qiang, Wang, Guo, Zhou, Wu and Gu. 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:
    Lifeng Xu, Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China
    Rong Jin, Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China
    Xiangyang Wang, Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China
    Yi Man, Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China
    Kai Xu, Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China
    Ting Wang, Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China
    Kai Guo, Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China
    Zheng Zhou, Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China
    Wenyong Wu, Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China
    Guosheng Gu, Anhui No 2 Provincial People's Hospital, Hefei, Anhui Province, China

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