Validation of the inadequate delivery of oxygen index in an adult cardiovascular intensive care unit.

Heather Holman¹, Dimitar Baronov², Jeff McMurray³, Arman Kilic^1,4, Marc Katz¹, Sanford Zeigler¹

¹Division of Cardiothoracic Surgery, Department of Surgery, Medical University of South Carolina, Charleston, SC.

²Etiometry, Inc, Boston, Mass.

³Division of Critical Care, Department of Anesthesia, Medical University of South Carolina, Charleston, SC.

⁴Harvey and Marcia Schiller Surgical Innovation Center, Medical University of South Carolina, Charleston, SC.

PubMed PMC DOI PDF

Abstract

OBJECTIVE: Machine learning (ML) may allow for improved discernment of hemodynamics and oxygen delivery compared to standard invasive monitoring. We hypothesized that an ML algorithm could predict impaired delivery of oxygen (IDO2) with comparable discrimination to invasive mixed venous oxygen saturation (SvO2) measurement. METHODS: A total of 230 patients not on mechanical circulatory support (M…

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