فهرست نشریات علمی دسترسی آزاد ایران

Background and Objectives: Crush syndrome (CS) is a significant metabolic disorder commonly observed after earthquakes, with inflammatory processes playing a key role in its pathophysiology. This study aimed to evaluate the clinical utility of inflammatory indices, including the Systemic Inflammatory Index (SI), Systemic Inflammation Response Index (SIRI), and Pan-Immune-Inflammatory Value (PIV).    Methods: Our study was conducted retrospectively at a single centre. A total of 278 patients admitted to the emergency department due to post-earthquake trauma were included in the study as the trauma group. This group was further divided into two subgroups: the non-crush trauma group (n=115) and the CS group (n=163). Additionally, 168 patients admitted to the emergency department for non-traumatic causes during the same period were included as the control group. The three groups were retrospectively compared based on SI, SIRI, and PIV values, as well as their predictive ability for key clinical outcomes, including the need for hemodialysis, hospitalization, prediction of CS and mortality. Receiver operating characteristic (ROC) analysis was used to determine the predictive values.    Results: SIRI demonstrated the highest accuracy in predicting CS (AUC = 0.829, P < 0.001). SI was the best predictor of hospitalization (AUC = 0.778, P < 0.001), while SIRI showed superior performance in predicting the need for hemodialysis (AUC = 0.799, P < 0.001).    Conclusion: SI, SIRI and PIV can help clinicians in predicting CS, the need for hemodialysis, critical care and therefore the need for hospitalization.