Pre-Operative Neutrophil-to-Lymphocyte Ratio as a Predictor of Post-Operative Infectious Morbidity in Gynecologic Oncology Patients.

Neutrophil-to-lymphocyte ratio (NLR) has been described as a predictor of progression-free and overall survival, and in the field of peri-operative care it seems to be a factor that can help discriminate patients at risk of developing post-operative complications. In the present study we sought to determine whether NLR is useful as a biomarker in predictive models that aim to identify patients with gynecologic cancer undergoing surgery at risk of developing post-operative infectious morbidity. We designed a prospective cohort study that enrolled 208 patients with gynecologic cancer. Post-operative infectious morbidity was evaluated based on a 30-day follow-up interval from the procedure. Forty-three patients (20.5%) developed post-operative infectious morbidity. Using an optimal cutoff value of 1.7 for the pre-operative NLR we observed that the sensitivity of the biomarker was 76.7% and the specificity 73.3% with a produced area under the curve of 0.760 (95% confidence interval [CI], 0.680-0.839). Univariable logistic regression indicated that NLR is a predictor of post-operative morbidity. Cox regression analysis revealed that NLR was the only factor that was associated with the timing of infectious morbidity (hazard ratio [HR], 1.339; 95% CI, 1.180-1.519; p < 0.001). Using random forest analysis and decision trees we achieved a diagnostic accuracy of the predictive model that exceeded 90%. Neutrophil-to-lymphocyte ratio may be a factor that could potentially help evaluate the risk of post-operative morbidity in patients with gynecologic cancer.