An inflammatory–nutritional machine learning model for risk stratification of hospital-acquired pneumonia in traumatic brain injury: a multicenter study (opens in new tab)

BackgroundHospital-acquired pneumonia (HAP) is a frequent and serious complication following traumatic brain injury (TBI), leading to prolonged hospitalization and poor functional outcomes. Early identification of patients at high risk of HAP remains challenging. Systemic inflammation and nutritional status are recognized contributors to post-TBI infection susceptibility; however, these factors are not adequately incorporated into existing predictive models. This study aimed to develop and va...