The predictive value of systemic inflammatory markers in 902 patients with tunneled hemodialysis catheter.

Aim: This study aimed to assess the predictive role of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and mean platelet volume, on catheter survival in chronic hemodialysis patients, analyzing both infectious and non-infectious complications.

Methods: A retrospective analysis encompassed 1279 tunneled catheter insertion procedures involving 902 patients between March 2014 and October 2018. Patients were categorized into two main groups: (i) initial placement and (ii) exchange. The exchange group was further stratified into four subgroups: infection, dysfunction, displacement, and transitioning temporary hemodialysis catheters to long-term ones. Hematologic ratios were calculated from baseline hemogram data, including neutrophil, lymphocyte, monocyte, and platelet counts, while mean platelet volume was derived from the same hemogram.

Results: The patients in the exchange group displayed significantly higher lymphocyte and monocyte values (p < 0.001), while lower values were noted for neutrophil-lymphocyte ratio and platelet-lymphocyte ratio (p < 0.001). The transition group displayed higher monocyte values and lower mean platelet volume and lymphocyte-monocyte ratio values (p < 0.05). In the infection-related exchange subgroup, higher neutrophil count, mean platelet volume, neutrophil-lymphocyte ratio, and platelet-lymphocyte ratio values were observed compared to other groups (p < 0.05). Cases related to catheter dysfunction exhibited increased lymphocyte-monocyte ratio but lower neutrophil, monocyte, neutrophil-lymphocyte ratio, and platelet-lymphocyte ratio values (p < 0.05).

Conclusion: This study highlights the interest of specific inflammatory markers, particularly monocytes, neutrophil-lymphocyte ratio, and platelet-lymphocyte ratio, in the management of tunneled catheters, notably in patients undergoing exchanges. However, cut-off values, essential for constructing management algorithms, are currently lacking, and prospective multicenter studies are needed for further elucidation.