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.
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