Effectiveness of Multiple Blood-Cleansing Interventions in Sepsis, Characterized in Rats

Abstract

Sepsis is a serious, life-threatening condition that presents a growing problem in medicine, but there is still no satisfying solution for treating it. Several blood cleansing approaches recently gained attention as promising interventions that target the main site of problem development-the blood. The focus of this study is an evaluation of the theoretical effectiveness of hemoadsorption therapy and pathogen reduction therapy. This is evaluated using the mathematical model of Murine sepsis, and the results of over 2,200 configurations of single and multiple intervention therapies simulated on 5,000 virtual subjects suggest the advantage of pathogen reduction over hemoadsorption therapy. However, a combination of two approaches is found to take advantage of their complementary effects and outperform either therapy alone. The conducted computational experiments provide unprecedented evidence that the combination of two therapies synergistically enhances the positive effects beyond the simple superposition of the benefits of two approaches. Such a characteristic could have a profound influence on the way sepsis treatment is conducted.

Disease types discovery from a large database of inpatient records: A sepsis study

“…In clinical practice, these studies can allow medical practitioners to obtain novel insights in the patients' conditions and therapeutic processes, thus improving treatment and accelerating medical research. Such discoveries are especially important for infectious diseases such as influenza or Ebola that can spread rapidly and for complex diseases with fast progression such as sepsis that are insufficiently understood [9]. An emphasis has recently been placed on the effective mining of those big EHR databases in order to obtain actionable insights for improving healthcare, a concept often termed "data driven healthcare" [10,11].…”

“…To provide evidence of benefits from using the proposed disease multi modal embedding approach, we conducted a case study discovering segments for all sepsis related diagnoses. Sepsis is a potentially life-threatening complication of pathogen infection that triggers the systemic inflammatory response [34,9]. Such systemic and progressive inflammation can lead to multiple organ dysfunction syndrome and even death [35].…”