Abstract:Background and Aims Patients with high-risk papillary thyroid carcinoma (PTC) remain at substantial risk of postoperative recurrence. Identification of simple and reliable prognostic biomarkers is therefore of clinical importance. This study aimed to evaluate the predictive value of preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) for postoperative recurrence in patients with high-risk PTC.Methods Clinical data of 337 patients with high-risk PTC who underwent radical surgery at Tangshan Workers' Hospital between January 2018 and December 2024 were retrospectively analyzed. According to follow-up outcomes, patients were divided into recurrence (n=41) and non-recurrence (n=296) groups. Clinicopathological characteristics and preoperative inflammatory indices were compared between groups. Receiver operating characteristic (ROC) curve analysis was performed to evaluate predictive performance. Logistic regression analysis was used to identify independent predictors of recurrence, and recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method.Results During follow-up, 41 patients (12.2%) developed recurrence. Compared with the non-recurrence group, the recurrence group exhibited significantly lower NLR, PLR, and SII levels (all P<0.05). ROC analysis showed that the AUC values of NLR, PLR, and SII for predicting recurrence were 0.728, 0.780, and 0.823, respectively, with SII demonstrating the best predictive performance. Multivariate Logistic regression analysis identified PLR≤118.26 (OR=5.894, 95% CI=1.615-21.508, P=0.007) and SII≤397.56 (OR=5.715, 95% CI=1.721-18.983, P=0.004) as independent risk factors for postoperative recurrence. Kaplan-Meier analysis showed significantly lower RFS rates in patients with low PLR and low SII levels than in those with higher values (both P<0.05).Conclusion Preoperative PLR and SII are independently associated with postoperative recurrence in patients with high-risk PTC. SII exhibits favorable predictive performance and may serve as a useful biomarker for risk stratification and prognostic evaluation in this population.