ArticleCureus2025
A Temperature-Adjusted Algorithm for Predicting Critical Indexed Oxygen Delivery (DO₂i) During Cardiopulmonary Bypass.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Progress in Understanding Brain Injury After Cardiopulmonary Bypass in Cardiac Surgery: A Narrative Review.Reviews in cardiovascular medicine · 2026Review
- Imbalance between oxygen delivery and consumption during cooling and rewarming phases of cardiopulmonary bypass and association with hyperlactatemia in total aortic arch replacement: a prospective observational study.Journal of cardiothoracic surgery · 2026Observational
- Mini-compendium on goal-directed perfusion (GDP) based on a narrative review.Journal of cardiothoracic surgery · 2026Review
- Advanced Metabolic-Guided Perfusion Concepts in an Obese Patient Undergoing Cardiac Surgery: A Case Report.Cureus · 2025Article
- Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIndexed oxygen delivery (DO₂i) is a critical parameter in cardiopulmonary bypass (CPB) management. Traditional goal-directed perfusion (GDP) protocols use fixed DO₂i thresholds, typically derived from normothermic conditions. However, these static values do not account for the temperature-dependent reduction in metabolic rate during hypothermia, potentially leading to perfusion mismatches.
methodsThis work presents a temperature-adjusted DO₂i (taDO₂i) algorithm designed to adapt oxygen delivery targets during CPB dynamically. The model is grounded in established physiological principles describing the effect of temperature on oxygen consumption. A quadratic regression approach was used to synthesize this behavior into a continuous function, which incorporates core temperature and body surface area (BSA) to provide individualized DO₂i targets.
resultsThe taDO₂i model closely aligns with known physiological behavior across a range of temperatures. It reduces the risk of overperfusion during hypothermia and underperfusion during rewarming, offering more accurate perfusion guidance than linear approximations or fixed thresholds. The model is suitable for integration into perfusion software or electronic health records, allowing real-time application.
conclusionThis temperature-adjusted algorithm provides a physiologically sound and computationally simple tool for optimizing oxygen delivery during CPB. It supports individualized perfusion management and represents a valuable evolution of current GDP strategies. Prospective clinical validation is recommended.
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