Post-injury infection continues to plague trauma and emergency surgery patients fortunate enough to survive the initial injury. Rapid response systems, massive transfusion protocols, the development of level 1 trauma centers, etc., have improved the outcome for millions of patients worldwide. Yet despite this excellent initial care, patients still remain vulnerable to post-injury infections that can result in organ failure, prolonged critical illness and even death. While risk factors have been identified (degree of injury, blood loss, time to definitive care, immunocompromise, etc.) they remain probabilistic, not deterministic, and do not explain outcome variability at the individual case level. Here, we assert that analysis of the social determinants of health, as reflected in the patient’s microbiome composition (i.e. community structure, membership) and function (metabolomic output), may offer a “window” with which to define individual variability following traumatic injury. Given emerging knowledge in the field, a more comprehensive evaluation of biomarkers within the patient’s microbiome, from stool-based microbial metabolites to those in plasma and those present in exhaled breath, when coupled with clinical metadata and machine learning, could lead to a more deterministic assessment of an individual’s risk for a poor outcome and those factors that are modifiable. The aim of this piece is to examine how measurable elements of the social determinants of health and the life-history of the patient may be buried within the ecologic memory of the gut microbiome. Here we posit that interrogation of the gut microbiome in this manner may be used to inform novel approaches to drive recovery following a surgical injury.