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Research Article

Clinical features and risk factors for pyogenic liver abscess caused by multidrug-resistant organisms: A retrospective study

, , , & ORCID Icon
Article: 2356680 | Received 30 Jan 2024, Accepted 13 May 2024, Published online: 20 May 2024

Figures & data

Table 1. Baseline characteristics of the study patients (N = 239).

Figure 1. Causes of pyogenic liver abscess in the study patients (a). Distribution of multidrug-resistant organisms in patients with pyogenic liver abscess (b). CR, carbapenem-resistant; CRKP, carbapenem-resistant Klebsiella pneumoniae; ESBL, extended-spectrum beta-lactamase (producing); GNB, gram-negative bacteria; KP, Klebsiella pneumoniae; MRSA, methicillin-resistant Staphylococcus aureus; VRE, vancomycin-resistant enterococci.

Figure 1. Causes of pyogenic liver abscess in the study patients (a). Distribution of multidrug-resistant organisms in patients with pyogenic liver abscess (b). CR, carbapenem-resistant; CRKP, carbapenem-resistant Klebsiella pneumoniae; ESBL, extended-spectrum beta-lactamase (producing); GNB, gram-negative bacteria; KP, Klebsiella pneumoniae; MRSA, methicillin-resistant Staphylococcus aureus; VRE, vancomycin-resistant enterococci.

Table 2. Comparison of the clinical characteristics, treatment, and clinical outcomes of patients with pyogenic liver abscess caused by multidrug-resistant organisms and non-multidrug-resistant organisms.

Table 3. Logistic regression analysis of risk factors associated with pyogenic liver abscess caused by multidrug-resistant organisms.

Figure 2. Individualized predictive nomogram model for predicting the risk of pyogenic liver abscess caused by multidrug-resistant organisms (a). Calibration plot (b) and receiver operating characteristic (ROC) curve (c) of the nomogram model for predicting the risk of multidrug-resistant organisms in patients with pyogenic liver abscess. The figure was created using R software version 4.1.2 (R Foundation for Statistical Computing, Vienna, Austria).

Figure 2. Individualized predictive nomogram model for predicting the risk of pyogenic liver abscess caused by multidrug-resistant organisms (a). Calibration plot (b) and receiver operating characteristic (ROC) curve (c) of the nomogram model for predicting the risk of multidrug-resistant organisms in patients with pyogenic liver abscess. The figure was created using R software version 4.1.2 (R Foundation for Statistical Computing, Vienna, Austria).

Table 4. Correspondence between risk factors and points.

Table 5. Association between total points and the probability of pyogenic liver abscess being caused by an MDRO.

Table 6. Model evaluation at the optimal threshold point according to the Youden index.

Table 7. Variance inflation factors for independent variables.

Data availability statement

All the data supporting the findings of this study are provided in the article and online at https://doi.org/10.7910/DVN/V1EYGB.