Disaster Med Public Health Prep. 2025 Oct 6;19:e289. doi: 10.1017/dmp.2025.10199.
ABSTRACT
OBJECTIVE: Earthquakes cause significant mortality and morbidity, particularly through crush injuries and their complications. This study aimed to evaluate whether systemic immune inflammation index (SII) and Pan-immune inflammatory values (PIV) obtained from complete blood count parameters can predict intensive care needs, dialysis requirements, and mortality in patients with crush injuries following earthquake.
METHODS: We retrospectively analyzed data from 76 patients with crush injuries admitted to a university hospital following the earthquake. Blood samples were collected upon admission. SII and PIV were calculated and compared with conventional laboratory markers for their ability to predict clinical outcomes.
RESULTS: Intensive care unit (ICU) admission was required in 40.8% of patients, and 21.1% required dialysis. In ROC analysis, an SII value above 1372 predicted ICU admission with 67.7% sensitivity and 66.7% specificity (P < .001), while an SII value above 1735 predicted dialysis requirement with 75.0% sensitivity and 73.3% specificity (P < .001). Similarly, a PIV value above 1345 predicted ICU admission with 74.2% sensitivity and 73.3% specificity (P < .001), and a value above 1906 predicted dialysis requirement with 81.3% sensitivity and 78.3% specificity (P < .001).
CONCLUSIONS: Complete blood count-derived inflammatory markers may serve as accessible, early indicators to complement clinical assessment for resource allocation following earthquake-related crush injuries, particularly in resource-limited disaster settings. These tools may aid in patient triage and care planning when comprehensive laboratory testing is limited.
PMID:41047911 | DOI:10.1017/dmp.2025.10199
