Dynamic interpretation of tachycardia in trauma: A case report with a retrospective exploration of the potential role of artificial intelligence in early identification of complications

Abstract

Tachycardia is a frequent physiological abnormality in trauma patients and is often reflexly attributed to hemorrhagic shock. Advances in trauma care have improved survival but have increased the incidence of complications related to resuscitation, surgery, and prolonged critical care. We report a case of blunt abdominal trauma in which tachycardia recurred at multiple time points, each reflecting a distinct underlying pathology. Phase-wise contextual elimination of causes enabled recognition of abdominal compartment syndrome, iatrogenic pulmonary complications, enteral feed intolerance, multiple foci of sepsis, and opioid withdrawal. This case highlights tachycardia as a dynamic clinical signal rather than a static marker of physiological derangement and offers a brief perspective on how emerging artificial intelligence-based predictive models may, in the future, assist clinicians in anticipating such complications earlier.