Abstract
Infective Endocarditis (IE) remains a life-threatening condition and early risk stratification helps us to predict mortality and the need for aggressive treatment. We compared NLR, PLR, and SII, on admission to predict in-hospital mortality. Consecutive IE patients, who met inclusion criteria were analysed. Receiver operating characteristic curve (ROC) analysis was conducted for NLR, PLR, and SII to predict in-hospital mortality. The median value of NLR was 19.6 (10.1-27) in patients with mortality, and 5.4 (3.2-8.5) in alive patients. The median value of PLR and SII were comparable in both groups. The area under the ROC curve of NLR showed a significant value of 0.83 (p = 0.001). A Kaplan Meier survival analysis for patients taking a cut-off value of NLR (9.8) was statistically significant (p < 0.001). In multivariate regression model, only NLR was statistically significant predictor of mortality. So NLR, which is a simple, readily available, and inexpensive parameter has a better association with in-hospital mortality in IE patients.