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Intra-abdominal infections are characterized by both a high rate of incidence and mortality in patients treated surgically. It is believed that in the first decade of the 21st century, approximately 20% of patients following major visceral surgery developed severe sepsis. After pneumonia, it is the second most common cause of infectious morbidity and mortality in intensive care units [1]. Despite advancements in surgical techniques, intensive therapy or new generations of antibiotics and other pharmaceutical compounds, the results of treatment of abdominal sepsis are poor. What follows are prolonged hospitalization and increased costs of treatment. This is predominantly the concern of patients receiving treatment in intensive therapy wards requiring further surgical intervention. In the CIAO conducted by Sartelli et al, the overall mortality rate in patients with complicated intra-abdominal infections was 7,7% (166/2152) [2]. However, if patients with severe sepsis or septic shock on admission to hospital are taken into account, the mortality rate increased from between 10% and 42,3% [3,4].

Is it Possible to Mathematically Predict the outcomes of Treatment of Abdominal Inflammation?