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Sepsis model could help shape patient care, says US research team:

This article was originally published in Clinica

Executive Summary

A new mathematical model of sepsis could help predict deaths, discharges and disease progression in hospital patients with the bacterial blood infection, helping doctors assess which interventions are likely to be best for their patients. So believe Mark Roberts and colleagues from the University of Pittsburgh, Pennsylvania, who have developed the dynamic microsimulation model, which they describe in the online open access journal Critical Care. The model has certain advantages over predecessors, which assume a constant rate of disease progression, and often do not incorporate past clinical history, according to the investigators. Every year in the US alone, sepsis affects around 750,000 people, of whom around a third die.

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