Combination Of Reverse Shock Index And Glasgow Coma Scale To Initiate Massive Transfusion Protocol In Trauma Patients

Abstract

Background and goal: The reverse shock index multiplied by the Glasgow Coma Scale score (rSIG) predicts trauma patient mortality, according to previous studies. It is unclear if rSIG can predict massive transfusion (MT) in trauma patients. This study examines whether rSIG predicts MT in trauma patients. The study also tests whether rSIG can predict trauma patients' coagulopathy, in-hospital mortality, and 24-hour death, rSIG's prognostic value for MT in trauma patients is compared to TASH and ABC Scores. Methods: This single-center prospective observational study at B.L.D.E.(DU), SHRI B.M. Patil medical college hospital and research centre's emergency medicine department In trauma patients, rSIG's prognostic value for MTP was compared to older scoring systems as TASH and ABC Scores. Results: MT was given to 20 of 195 patients. MT, in-hospital mortality, 24-hour mortality, and coagulopathy are better predicted by rSIG than SI, SIA, and qSOFA. The in-hospital mortality AUROC for rSIG was 0.812, indicating its dependability. Prior study shows that rSIG can predict trauma patients' death and coagulopathy. All three tests are discriminatory, but evaluation assessment blood consumption is most accurate, followed by TASHScore and rSIG using ROC values.MT rSIG predicted better than SI, SIA, and qSOFA (AUROC = 0.842). rSIG predicted coagulopathy, in-hospital, and 24-hour mortality better than SI, SIA, and qSOFA. RSIG combines hemodynamic instability (reverse SI) and consciousness (GCS) for a more complete trauma patient evaluation. Detecting coagulopathy early with rSIG permits rewarming, acidosis correction, balanced transfusion, and massive transfusion Page11 regimens. Conclusion: The study shows that rSIG can identify trauma patients at high risk for major transfusion, coagulopathy, and death. Assessment Blood consumption evaluation is most accurate, followed by TASH Score and rSIG, for managing severe trauma situations swiftly and effectively which could improve patient outcomes.