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Data-Driven Precision Medicine in Sepsis

Sepsis is a common and costly disease which contributes to nearly 1 in 2 hospital deaths in our healthcare system. While aggressive early treatment with quantitative resuscitation has demonstrated benefit, many other interventions have not demonstrated efficacy likely resulting from an incomplete understanding of sepsis disease mechanisms. This study seeks to address three questions through innovative approaches to using observational data: (1) what factors can improve our characterization and phenotyping of sepsis patients; (2) what are the potential benefits of using quantitative resuscitation in less severe sepsis subgroups; and (3) how does acute organ dysfunction impact long-term mortality and utilization among sepsis survivors

Investigator: Liu, Vincent

Funder: National Institute of General Medical Sciences

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