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BMC Research Notes

, 7:233

Infectious Diseases


BackgroundThe lack of a reliable scoring system that predicts the development of septic shock and death precludes comparison of disease and-or treatment outcomes in animal models of sepsis. We developed a murine sepsis score MSS that evaluates seven clinical variables, and sought to assess its validity and reliability in an experimental mouse model of polymicrobial sepsis.

MethodsStool collected from the cecum of C57BL-6 B6 mice was dissolved in 0.9% normal saline NS and filtered, resulting in a fecal solution FS which was injected intraperitoneally into B6 mice. Disease severity was monitored by MSS during the experimental timeline. Blood and tissue samples were harvested for the evaluation of inflammatory changes after sepsis induction. The correlation between pro-inflammatory markers and MSS was assessed by the Spearman rank correlation coefficient.

ResultsMice injected with FS at a concentration of 90 mg-mL developed polymicrobial sepsis with a 75% mortality rate at 24 hours. The MSS was highly predictive of sepsis progression and mortality, with excellent discriminatory power, high internal consistency Cronbach alpha coefficient = 0.92, and excellent inter-rater reliability intra-class coefficient = 0.96. An MSS of 3 had a specificity of 100% for predicting onset of septic shock and death within 24 hours. Hepatic dysfunction and systemic pro-inflammatory responses were confirmed by biochemical and cytokine analyses where the latter correlated well with the MSS. Significant bacterial dissemination was noted in multiple organs. Furthermore, the liver, spleen, and intestine demonstrated histopathological evidence of injury.

ConclusionsThe MSS reliably predicts disease progression and mortality in an animal model of polymicrobial sepsis. More importantly, it may be used to assess and compare outcomes among various experimental models of sepsis, and serve as an ethically acceptable alternative to death as an endpoint.

KeywordsSepsis score Sepsis Septic shock Peritonitis Animal model Cytokine analysis Infectious diseases Electronic supplementary materialThe online version of this article doi:10.1186-1756-0500-7-233 contains supplementary material, which is available to authorized users.

Bradly Shrum, Ram V Anantha contributed equally to this work.

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Autor: Bradly Shrum - Ram V Anantha - Stacey X Xu - Marisa Donnelly - SM Mansour Haeryfar - John K McCormick - Tina Mele

Fuente: https://link.springer.com/

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