In Deployment


The open abdomen project evaluates trauma patients who underwent at least one open laparotomy during their hospital course. Sub studies include predicting severe sepsis, organ space infection, pneumonia, acute kidney injury, and hollow viscus injuries. Clinical, biomarker, and flow cytometry data are considered in the analyses and models.


Blast injuries and other combat-associated wounds present unique challenges to healthcare enterprises. We found that a comprehensive biological assessment, coupled with advanced mathematical techniques, can be used to generate a predictive model that may help surgeons improve outcomes by minimizing wound-related complications. This translates to shorter hospital stays, quicker rehabilitation, and lower costs. We then distilled the prognostic information into a Clinical Decision Support tool called WOUNDx™, which uses common inflammatory markers coupled with clinical observations to estimate the likelihood of wound failure in complex wounds. This highly predictive algorithm can help surgeons identify when to close or otherwise cover wounds in high risk military and civilian populations.