Purpose: Oxygen delivery (DO) and its monitoring are highlighted to aid postoperative goal directed therapy (GDT) to improve perioperative outcomes such as acute kidney injury (AKI) after high-risk cardiac surgeries associated with multiple morbidities and mortality. However, DO monitoring is neither routine nor done postoperatively, and current methods are invasive and only produce intermittent DO trends. Hence, we proposed a novel algorithm that simultaneously integrates cardiac output (CO), hemoglobin (Hb) and oxygen saturation (SpO) from the Edwards Life Sciences ClearSight System® and Masimo SET Pulse CO-Oximetry® to produce a continuous, real-time DO trend.

Methods: Our algorithm was built systematically with 4 components - machine interface to draw data with PuTTY, data extraction with parsing, data synchronization, and real-time DO presentation using a graphic-user interface. Hb readings were validated.

Results: Our algorithm was implemented successfully in 93% (n = 57 out of 61) of our recruited cardiac surgical patients. DO trends and AKI were studied.

Conclusion: We demonstrated a novel proof-of-concept and feasibility of continuous, real-time, non-invasive DO monitoring, with each patient serving as their own control. Our study also lays the foundation for future investigations aimed at identifying personalized critical DO thresholds and optimizing DO as an integral part of GDT to enhance outcomes in perioperative cardiac surgery.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11127411PMC
http://dx.doi.org/10.1186/s12871-024-02561-2DOI Listing

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