A different perspective in trauma patients: can pan-immune-inflammation value (PIV) predict mortality?

Area of Science:

• Trauma Care
• Critical Care Medicine
• Biomarker Research

Background:

• Trauma is a major global cause of death, necessitating accurate prognosis for effective patient management in emergency and intensive care settings.
• The pan-immune-inflammation (PIV) value, derived from a complete blood count (CBC), is a rapidly obtainable biomarker explored for trauma prognostication.

Purpose of the Study:

• To evaluate the predictive capability of the pan-immune-inflammation (PIV) value for patient prognosis in trauma cases.
• To compare the performance of PIV with established trauma scoring systems like RTS, GCS, and APACHE II.

Main Methods:

• Retrospective analysis of 74 trauma patients admitted to a tertiary intensive care unit.
• Calculation of PIV values from laboratory data and comparison with established prognostic scores (RTS, GCS, APACHE II).
• Statistical assessment of PIV's predictive value for mortality, morbidity, and length of hospital stay.

Main Results:

• PIV, RTS, GCS, and APACHE II scores were all significant predictors of mortality (p<0.001).
• A PIV cut-off value of 6367.5 was identified, with lower values indicating a higher risk of mortality.
• The study included 74 patients, with detailed demographic breakdown of survivors and non-survivors.

Conclusions:

• The pan-immune-inflammation (PIV) value demonstrates significant predictive performance for trauma patient mortality.
• PIV offers a rapid and reliable prognostic tool comparable to existing scoring systems, potentially improving triage and treatment planning in emergency care.