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. 2025 Jul 30:13:1560587.
doi: 10.3389/fpubh.2025.1560587. eCollection 2025.

Incorporation of oXiris Bioabsorbent Filter into CRRT in the treatment of severe abdominal infections and analysis of associated risk factors for early off-machine

Yanfang Dong #  1 , Jieling Chen #  2 , Xiaoli Zhang #  1 , Shiyu Wu  1 , Yiming Li  3 , Qiaoxian Zhang  4
Affiliations

Incorporation of oXiris Bioabsorbent Filter into CRRT in the treatment of severe abdominal infections and analysis of associated risk factors for early off-machine

Yanfang Dong et al. Front Public Health. .

Abstract

Introduction: This study aims to evaluate the impact of oXiris continuous renal-replacement therapy (CRRT) on the prognosis of patients with severe intra-abdominal infections (IAIs) and to analyze potential risk factors for early off-machine of oXiris CRRT during treatment.

Methods: A total of 49 patients with severe abdominal infections admitted to the intensive care unit of the First Affiliated Hospital of Fujian Medical University from October 2020 to October 2023 were retrospectively analyzed. The patients were divided into a conventional group and an oXiris group. Heart rate, blood lactate level, mean arterial pressure, and total CRRT operation time were observed 72 h before and after CCRT treatment.

Results: When comparing changes in indicators over the 72-h period between the two groups, no significant difference in survival rate was observed between the two groups. D-dimer [per 1 ng/mL increase, odds ratio (OR) = 0.930, 95% confidence interval (CI): 0.866-0.999] was identified as a risk factor for early off-machine. In contrast, prothrombin time (PT, per 1-s increase, OR = 1.117, 95% CI: 1.017-1.226), activated partial thromboplastin time (APTT, per 1-s increase, OR = 1.021, 95% CI: 1.006-1.037), and blood flow velocity (per 1 mL/min increase, OR = 1.027, 95% CI: 1.009-1.046) were found to be protective factors.

Conclusion: oXiris CRRT is associated with a better prognosis in the treatment of severe abdominal infections. APTT, PT, D-dimer, and blood flow velocity are associated with early off-machine during oXiris CRRT.

Keywords: CRRT; early off-machine; oXiris Bioabsorbent Filter; risk factors; severe abdominal infections.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flowchart.
Figure 2
Figure 2
oXiris CRRT in-hospital survival analysis.
Figure 3
Figure 3
Forest plot of optimal off-machine time.
Figure 4
Figure 4
Receiver operating characteristic (ROC) curve for the multivariate prediction model of early off-machine risk. The model demonstrated an area under the curve (AUC) of 0.741 (95% CI: 0.659–0.822), with an optimal cutoff value of 0.260 (sensitivity = 94.4%, specificity = 45.5%).
Figure 5
Figure 5
ROC curve for the comprehensive prediction of risk factors associated with early off-machine of oXiris CRR.
See this image and copyright information in PMC

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