Prognostic Value of Systemic Inflammatory Response Markers for CIN2+ Recurrence After Loop Electrosurgical Excision Procedure: A Retrospective Cohort Study.

To evaluate the prognostic value of systemic inflammatory response (SIR) parameters in predicting the recurrence of cervical intraepithelial neoplasia (CIN2+) in women undergoing a loop electrosurgical excision procedure (LEEP). This retrospective study included women aged ≥18 years who underwent an LEEP at a tertiary center between 2013 and 2023. Patients who were pregnant and those who had malignancies, immune disorders, or prior cervical surgery were excluded. The data collected included age, parity, cervical cytology, HPV DNA status, histology, LEEP specimen size, and preoperative blood count parameters. Follow-up was performed every six months using cytology, colposcopy, and histology to assess recurrence. The SIR markers evaluated included the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and lymphocyte count. Statistical analyses included ROC curves and Cox regression. Of the 1068 patients included, 726 had follow-up data, and 32 (4.4%) experienced a recurrence after a mean interval of 24 ± 20 months. Recurrence-negative patients had higher median lymphocyte counts (2.40 vs. 2.15, = 0.031) and LMRs (4.57 vs. 3.86, = 0.011). The disease-free survival period was longer in patients with high lymphocyte counts, a low NLR and PLR, and a high LMR. However, the discriminatory power of these markers was limited. In the multivariate analysis, only a PLR > 118.4 remained independently associated with an increased recurrence risk (HR 3.06, = 0.011). Due to the small number of cases of recurrences and the small amount of HPV DNA results, the findings should be interpreted with caution. Preoperative SIR markers such as the PLR, NLR, LMR, and lymphocyte count showed statistical associations with CIN2+ recurrence after an LEEP, but their clinical utility appears to be limited. Further prospective studies are needed to validate these findings.