Systemic Immune Inflammatory (SII) Index in Evaluating the Severity of Multitrauma Patients in the Emergency Department
Early alert marker; Systemic immune inflammatory index
DOI:
https://doi.org/10.5281/zenodo.8201941Keywords:
Systemic Immune-Inflammation Index, Multitrauma, early alert, emergency medicineAbstract
Introduction
In the emergency department, healthcare providers face the critical task of assessing and managing patients with multitrauma, a condition characterized by multiple injuries sustained simultaneously. In this study, we evaluated the power of the systemic immune inflammatory index in predicting the prognosis and severity of patients admitted to the emergency department with multitrauma
Material Method
Patients aged 18 years and older who presented to the adult emergency department of the hospital and were diagnosed with Multitrauma 1 January 2022 and 31 December 2022 were included in the study. Demographic characteristics (age and gender), initial laboratory test results including neutrophil (N), lymphocyte (L), and platelet counts, as well as NLR, PLO and SII will be calculated according to laboratory results; (NLR = neutrophil count / lymphocyte count ratio; PLR = platelet count / lymphocyte count ratio; SII = platelet count x neutrophil count / lymphocyte count ratio), hospital admission or intensive care unit (ICU) admission status, and patient outcomes were recorded from the medical records.
Results
According to ROC analysis, NLR, PLR and SII parameters were statistically significant for the distinction between hospitalization and discharge (P<0.001, P:0.016 and P<0.001, respectively). When the data were categorized according to the cut-off values determined in the ROC analysis, NLR over 2.84 and SII over 777 were found to be significant for hospitalization according to the Chi-square analysis, while PLR over 108 was not significant (respectively P. <0.001, P:0.111 and P<0.001)
Conclusion
These markers provide valuable insights into the systemic inflammatory response and have the potential to aid in risk stratification, prognosis assessment, and treatment decision-making. However, further research is warranted to validate their utility in diverse patient populations and clinical scenarios.
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