Defining Sepsis Phenotypes—Two Murine Models of Sepsis and Machine Learning

∗Department of Surgery, Boston Medical Center, Boston University, Boston, Massachusetts

†Department of Pathology & Laboratory Medicine, Boston Medical Center, Boston University, Boston, Massachusetts

‡Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts

Address reprint requests to Allan E. Stolarski, MD, MS, 72 East Concord Street, Collamore Building C515, Boston, MA 02118. E-mail: [email protected]

Received 2 November, 2021

Revised 20 November, 2021

Accepted 17 March, 2022

Author contributions: Allan E. Stolarski and Jiyoun Kim contributed to data collection, data processing, analysis and writing of the manuscript. Sophia Gunn contributed to the development of the machine learning algorithm and statistical analysis. All authors contributed to the data processing, data analysis, and writing of the manuscript.

This study received funding support from the National Institutes of Health (NIH R21 AI147168-01, R01 HL141513, R01 AI12996, and T32GM086308).

Presentation: Quick Shot Presentation at the 80th Annual Meeting of the American Association for the Surgery of Trauma (AAST) in Atlanta, GA 10-02-2021.

No conflicts of interest to disclose.

Supplemental digital content is available for this article. Direct URL citation appears in the printed text and is provided in the HTML and PDF versions of this article on the journal's Web site (www.shockjournal.com).

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