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Diagnostic value of NLR, PLR and SIRI in peritoneal dialysis-associated peritonitis
Ye Liu1, Ling Zhang1, Tian Tian1
1Department of Nephrology, Cangzhou Central Hospital Cangzhou 061000, Hebei, China.
Objective:
To evaluate the diagnostic value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SIRI) in peritoneal dialysis-associated peritonitis (PDAP).
Methods:
In this retrospective study, the clinical data from 130 patients who underwent peritoneal dialysis (PD) for the first time at the Cangzhou Central Hospital from January 2019 to January 2022 were rigorously reviewed and analyzed. Based on the occurrence of PDAP during treatment, patients were classified into the peritonitis group (n=31) and the non-peritonitis group (n=99). The expression levels and diagnostic value of NLR, PLR, and SIRI were analyzed in the contest of PDAP. Pearson correlation analysis was performed to examine the correlations between NLR, PLR and SIRI in PDAP patients, and the joint diagnostic value of NLR, PLR, and SIRI was evaluated. Additionally, risk factors associated with PDAP were identified.
Results:
Patients in the peritonitis group were older than those in the non-peritonitis group, and experienced longer duration of dialysis (P<0.05). The peritonitis group exhibited significantly higher NLR, PLR and SIRI levels than the non-peritonitis group (P<0.001). Pearson correlation analysis revealed significant positive corrections between NLR, PLR and SIRI in PDAP patients. Logistic regression analysis identified NLR, PLR, and SIRI as independent influencing factors for the occurrence of PDAP. ROC curve analysis revealed that the combined use of NLR, PLR, and SIRI for diagnosing PDAP yielded an AUC of 0.935, significantly higher than their individual predictions, along with superior diagnostic accuracy.
Conclusion:
NLR, PLR, and SIRI are independent risk factors for the occurrence of PDA. These indices hold significant diagnostic value for PDAP, and their combined utilization can enhance diagnostic accuracy.
