The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Crimean-Congo Hemorrhagic Fever Patients

Aim: The objective was to determine the strength of the Systemic Inflammation Response Index (SIRI) in the prediction of mortality in Crimean Congo Hemorrhagic Fever (CCHF) patients who applied to emergency department. Material and Methods: One thousand one hundred forty patients who applied to emergency department between January 2012 and December 2022 were included in the study. Demographical data, the neutrophile-lymphocyte ratio (NLR), the systemic immune-inflammation index (SIII), the aggregate index of systemic inflammation (AISI), and the systemic inflammation response index (SIRI) were recorded. Frequency data was analyzed with the Chi-square test while ordinal data was analysed with the Mann Whitney U test. The receiver operating characteristic (ROC) analysis was conducted to determine the predictive factors of the risk of death. Results: The NLR and SIRI values were found to be significantly higher in CCHF patients observed to be fatal. An optimal cut-off value of 0.77 with 89% sensitivity and 90% specificity for SIRI, a cut-off value of 3.42 with 88% sensitivity and 89% specificity for NLR, were demonstrated. Conclusion: The systemic inflammation response index has the highest sensitivity and specificity levels in terms of mortality prediction strength and the impact on mortality. The systemic inflammation response index could be sued to predict mortality for Crimean Congo Hemorrhagic Fever patients in emergency services.