Clinical trial NCT05639504 - References

Sepsis — Sepsis Prognosis and Diagnosis in the Emergency Department (SPEED)

Citation(s)

•   Bauer W, Kappert K, Galtung N, Lehmann D, Wacker J, Cheng HK, Liesenfeld O, Buturovic L, Luethy R, Sweeney TE, Tauber R, Somasundaram R
  A Novel 29-Messenger RNA Host-Response Assay From Whole Blood Accurately Identifies Bacterial and Viral Infections in Patients Presenting to the Emergency Department With Suspected Infections: A Prospective Observational Study. Crit Care Med. 2021 Oct 1;49(10):1664-1673. doi: 10.1097/CCM.0000000000005119.
•   Brakenridge SC, Chen UI, Loftus T, Ungaro R, Dirain M, Kerr A, Zhong L, Bacher R, Starostik P, Ghita G, Midic U, Darden D, Fenner B, Wacker J, Efron PA, Liesenfeld O, Sweeney TE, Moldawer LL
  Evaluation of a Multivalent Transcriptomic Metric for Diagnosing Surgical Sepsis and Estimating Mortality Among Critically Ill Patients. JAMA Netw Open. 2022 Jul 1;5(7):e2221520. doi: 10.1001/jamanetworkopen.2022.21520.
•   Brakenridge SC, Starostik P, Ghita G, Midic U, Darden D, Fenner B, Wacker J, Efron PA, Liesenfeld O, Sweeney TE, Moldawer LL
  A Transcriptomic Severity Metric That Predicts Clinical Outcomes in Critically Ill Surgical Sepsis Patients. Crit Care Explor. 2021 Oct 14;3(10):e0554. doi: 10.1097/CCE.0000000000000554. eCollection 2021 Oct.
•   Gaieski DF, Mikkelsen ME, Band RA, Pines JM, Massone R, Furia FF, Shofer FS, Goyal M
  Impact of time to antibiotics on survival in patients with severe sepsis or septic shock in whom early goal-directed therapy was initiated in the emergency department. Crit Care Med. 2010 Apr;38(4):1045-53. doi: 10.1097/CCM.0b013e3181cc4824.
•   Galtung N, Diehl-Wiesenecker E, Lehmann D, Markmann N, Bergstrom WH, Wacker J, Liesenfeld O, Mayhew M, Buturovic L, Luethy R, Sweeney TE, Tauber R, Kappert K, Somasundaram R, Bauer W
  Prospective validation of a transcriptomic severity classifier among patients with suspected acute infection and sepsis in the emergency department. Eur J Emerg Med. 2022 Oct 1;29(5):357-365. doi: 10.1097/MEJ.0000000000000931. Epub 2022 Apr 21.
•   Sweeney TE, Khatri P
  Benchmarking Sepsis Gene Expression Diagnostics Using Public Data. Crit Care Med. 2017 Jan;45(1):1-10. doi: 10.1097/CCM.0000000000002021.
•   Sweeney TE, Perumal TM, Henao R, Nichols M, Howrylak JA, Choi AM, Bermejo-Martin JF, Almansa R, Tamayo E, Davenport EE, Burnham KL, Hinds CJ, Knight JC, Woods CW, Kingsmore SF, Ginsburg GS, Wong HR, Parnell GP, Tang B, Moldawer LL, Moore FE, Omberg L, Khatri P, Tsalik EL, Mangravite LM, Langley RJ
  A community approach to mortality prediction in sepsis via gene expression analysis. Nat Commun. 2018 Feb 15;9(1):694. doi: 10.1038/s41467-018-03078-2.
•   Sweeney TE, Shidham A, Wong HR, Khatri P
  A comprehensive time-course-based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set. Sci Transl Med. 2015 May 13;7(287):287ra71. doi: 10.1126/scitranslmed.aaa5993.
•   Sweeney TE, Wong HR, Khatri P
  Robust classification of bacterial and viral infections via integrated host gene expression diagnostics. Sci Transl Med. 2016 Jul 6;8(346):346ra91. doi: 10.1126/scitranslmed.aaf7165.

Sepsis Prognosis and Diagnosis in the Emergency Department Using a Host Response Classifier (SPEED) UK - a Multi-Centre Observational Study

Details for clinical trial NCT05639504