ObjectiveTo explore the factors of affecting the prognosis of pancreatic ductal adenocarcinoma (PDAC) after radical resection based on the preoperative systemic immune-inflammation index (SII) and the controlling nutritional status (CONUT) score and to establish a prognostic prediction model.MethodsThe clinicopathologic data of patients diagnosed with PDAC from January 2014 to December 2019 in the Second Hospital of Lanzhou University were retrospectively analyzed. The X-tile software was used to determine the optimal cut-off value of SII. The Kaplan-Meier method was used to analyze survival. The Cox proportional hazards regression model was used to conduct multivariate analysis of prognostic factors of PDAC after radical surgery. R4.0.5 software was used to draw a nomogram prediction model of 1-, 2-, and 3-year survival rates, then evaluate the effectiveness of the prediction model and establish a web page calculator.ResultsA total of 131 patients were included in the study. The median survival time was 18.6 months, and the cumulative survival rates at 1-, 2-, and 3-year were 73.86%, 36.44%, and 11.95%, respectively. The optimal cut-off value of preoperative SII was 313.1, and the prognosis of patients with SII>313.1 was worse than SII≤313.1 (χ2=8.917, P=0.003). The results of multivariate analysis suggested that the age>65 years old, clinical stage Ⅲ and Ⅳ, preoperative SII>313.1, and CONUT score >4 were the independent factors influencing the prognosis (overall survival) for PDAC after radical resection (P<0.05). The internal verification consistency index (C-index) of the nomogram prediction model including age, clinical stage, preoperative SII, CONUT score and postoperative chemotherapy was 0.669. The survival predicted by the nomogram correction curve fitted well with the observed survival. The decision curve analysis showed that the nomogram prediction model had a wider clinical net benefit (Threshold probability was 0.05–0.95), and the web calculator worked well.ConclusionsAge, clinical stage, preoperative SII, CONUT score are independent influencing factors for prognosis after radical PDAC surgery. Nomogram prediction model included these independent influencing factors is more accurate and web calculator will be more convenient for doctors and patients.
Objective To investigate the correlation between the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic immune inflammation index (SII) and clinicopathological characteristics and prognosis in patients with gastrointestinal stromal tumor (GIST). Methods The clinicopathological data and blood routine results of 101 patients with GIST who were treated surgically in the General Hospital Western Theater Command PLA from December 2014 to December 2018 were collected retrospectively, samples were obtained to calculate NLR, PLR and SII. The optimal cutoff value of NLR, PLR and SII were evaluated by receiver operating characteristic (ROC) curve. The Chi-square test and t-test were used to analyze the relationship between NLR, PLR, SII and clinicopathological characteristics of GIST. The Kaplan-Meier plots and the log-rank test were used to analyze the influence factors affecting the recurrence-free survival (RFS) of patients with GIST. Multivariate Cox regression analyses was used to identify the independent influence factors affecting the RFS of patients with GIST. Results The preoperative peripheral blood NLR, PLR and SII of patients with GIST were correlated with the tumor site, tumor diameter and modified NIH risk stratification (P<0.05), but not with the mitotic count of tumor cells (P>0.05). Kaplan-Meier plots and log-rank test showed that NLR, PLR, SII, surgical method, tumor site, tumor diameter, mitosis rate and modified NIH risk stratification were the influential factors of RFS in with GIST. The multivariate Cox regression analysis revealed that postoperative whether to accept regular imatinib adjuvant therapy (HR=32.876, P<0.001), modified NIH risk stratification (HR=129.182, P<0.001), and PLR (HR=5.719, P=0.028) were independent influence factors affecting the RFS of patients with GIST. Conclusions Preoperative peripheral blood PLR, NLR, and SII are correlated with clinicopathological characteristics such as the tumor location, tumor diameter and modified NIH risk stratification, and are the influencing factors of postoperative RFS in patients with GIST. PLR is an independent predictor of RFS in patients with GIST.