Nomogram based on neutrophil-to-platelet ratio to predict in-hospital mortality in infective endocarditis

Abstract

Aim: To develop a nomogram based on neutrophil-to-platelet ratio (NPR) to predict in-hospital mortality in infective endocarditis (IE) patients. Methods: We retrospectively analyzed 294 consecutive patients classified as survivors or nonsurvivors according to hospitalization outcome. Logistic regression analyses were performed to identify independent predictors for in-hospital mortality. A nomogram based on them was established and assessed by receiver operating characteristic (ROC) curve analysis. Results: Admission NPR (odds ratio [OR] = 1.095, 95% CI: 1.037–1.156), positive blood culture (OR = 9.220; 95% CI: 1.478–57.521) and left-sided endocarditis (OR = 5.099; 95% CI: 1.104–23.553) independently predicted in-hospital mortality in IE. The area under the ROC curve for the nomogram based on these predictors was 0.832. Conclusion: The nomogram based on NPR could be used for early risk stratification of IE patients.