This is a prospective, non-randomized study investigating if organ damage and immune changes can be measured by liquid biopsy NGS through advanced analytical methods.
To determine the sample size needed to derive a signature matrix to identify novel biomarkers in sepsis, investigators performed a mathematical modeling exercise of the lower limits of sensitivity of this liquid biopsy approach. The detection limit of cell-free nucleic acid analysis is determined in part by the number of independent transcripts or "reporters" that are interrogated. Using an established and independently validated binomial model that was previously applied to the prediction of circulating tumor nucleic acid detection limits, investigators estimated the probability of cell-free nucleic acid detection in sepsis patients based on the number of unique tissue-specific reporters (i.e., hepatic transcripts that may reflect disease severity). This yields a result of n=18 per group to achieve 0.90 power at alpha=0.05. The investigators will thus plan to analyze data from n=18 per cell/tissue type to derive the signature matrix for this project.
Study Type
OBSERVATIONAL
Enrollment
1,000
One additional blood draw in the Emergency Department as part of their standard of care visit.
Mayo Clinic Rochester
Rochester, Minnesota, United States
RECRUITINGPatient Survival
Overall survival
Time frame: From date of patient enrollment until date of death for any cause or up to 1 year after patient enrollment date, whichever comes first.
ICU Time
Time for patient in ICU
Time frame: Up to 1 year after patient enrollment date
Hospital Stay Duration
Days
Time frame: Up to 1 year after patient enrollment date
Renal Replacement Therapy
If patient needed renal replacement therapy during duration on study.
Time frame: Up to 1 year after patient enrollment date
Ventilator and Vasopressor Free Days
Time frame: Up to 1 year after patient enrollment date
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