Aparna Gangopadhyay1,2. 1. Medical College Hospitals Kolkata, Kolkata, India. 2. Chittaranjan National Cancer Institute, Kolkata, India.
Abstract
Background: The prognostic nutritional index (PNI), a marker of immune-nutrition balance, has predictive value in the survival and prognosis of various cancers. However, the impact of PNI on response to chemoradiation is poorly understood.Materials and Methods: A total of 583 women with locally advanced cervical cancer from two centers were clinically assessed for complete response after chemoradiation. The baseline PNI was individually recorded, and the significance of association between PNI and complete response was analyzed using logistic regression. ROC (receiver operating characteristics) curves were analyzed to determine the cutoff value of PNI that significantly predicted complete response. Results: Logistic regression analysis demonstrated that the PNI was significantly associated with complete response following chemo radiation (p < 0.0001). Analysis of the ROC curve for PNI demonstrated an optimal cut off value of 44.8 (p < 0.0001, sensitivity 66.7, and specificity 88.5); the area under the ROC curve was 0.813 (Youden's index J, 0.7519).Conclusions: The PNI is significantly associated with clinical complete response to chemoradiation in locally advanced cervical cancer. Low baseline PNI may lower the likelihood of complete response after chemoradiation. In particular, those with PNI values below 44 should be carefully monitored during treatment; nutritional interventions may offer benefit in these women.
Background: The prognostic nutritional index (PNI), a marker of immune-nutrition balance, has predictive value in the survival and prognosis of various cancers. However, the impact of PNI on response to chemoradiation is poorly understood.Materials and Methods: A total of 583 women with locally advanced cervical cancer from two centers were clinically assessed for complete response after chemoradiation. The baseline PNI was individually recorded, and the significance of association between PNI and complete response was analyzed using logistic regression. ROC (receiver operating characteristics) curves were analyzed to determine the cutoff value of PNI that significantly predicted complete response. Results: Logistic regression analysis demonstrated that the PNI was significantly associated with complete response following chemo radiation (p < 0.0001). Analysis of the ROC curve for PNI demonstrated an optimal cut off value of 44.8 (p < 0.0001, sensitivity 66.7, and specificity 88.5); the area under the ROC curve was 0.813 (Youden's index J, 0.7519).Conclusions: The PNI is significantly associated with clinical complete response to chemoradiation in locally advanced cervical cancer. Low baseline PNI may lower the likelihood of complete response after chemoradiation. In particular, those with PNI values below 44 should be carefully monitored during treatment; nutritional interventions may offer benefit in these women.