# Rethinking Cardiopulmonary Bypass Management in The Digital Health Era

**Authors:** Youssef El Dsouki, Ignazio Condello, Roberto Lorusso

PMC · DOI: 10.1016/j.mcpdig.2026.100343 · Mayo Clinic Proceedings: Digital Health · 2026-02-01

## TL;DR

Digital health tools can improve cardiopulmonary bypass management, balancing minimally invasive surgery with patient safety.

## Contribution

Proposes integrating digital health technologies to optimize cardiopulmonary bypass and reduce postoperative complications.

## Key findings

- Minimally invasive cardiac surgery increases CPB duration, raising postoperative risks.
- Digital health tools enable real-time monitoring and adaptive control of perfusion during surgery.
- Future research should validate digital frameworks and establish ethical standards for clinical use.

## Abstract

Minimally invasive and robotic cardiac surgery have been developed to reduce surgical trauma, shorten recovery, and improve cosmetic and functional outcomes. However, these approaches often require longer cardiopulmonary bypass (CPB) and aortic cross-clamp times than conventional full sternotomy, and CPB duration remains an independent predictor of postoperative morbidity and mortality, particularly in frail patients with reduced physiological reserve. The resulting less invasive access/prolonged extracorporeal support duration paradox poses a major physiological and clinical challenge. Contemporary evidence from randomized and observational studies reports that while minimally invasive and robotic procedures achieve comparable or improved survival and functional recovery, extended CPB and aortic clamp times can amplify the risk of renal dysfunction, neurological events, and systemic inflammation. Advances in digital health are now transforming intraoperative perfusion management: high-frequency data acquisition, automated oxygen delivery and consumption analytics, and real-time artificial intelligence-driven predictive models enable early detection of perfusion imbalance and metabolic distress. Integration of these data streams within interoperable platforms and patient-specific digital twins may allow dynamic modeling of perfusion adequacy and adaptive control of pump flow, temperature, and hemodynamics. By converting CPB duration from a static procedural metric into a digitally monitored, optimizable variable, precision perfusion could reconcile minimal invasiveness with physiological safety. Future research should validate these digital frameworks in multicenter studies and establish standards for transparency, interoperability, and ethical implementation in real-world cardiac surgery.

## Full-text entities

- **Diseases:** low cardiac output syndrome (MESH:D002303), ischemic (MESH:D002545), postoperative pain (MESH:D010149), infection (MESH:D007239), microvascular dysfunction (MESH:D017566), trauma (MESH:D014947), sarcopenia (MESH:D055948), inflammation (MESH:D007249), renal and respiratory complications (MESH:D012140), metabolic rigidity (MESH:D009127), ischemia (MESH:D007511), neurological dysfunction (MESH:D009461), metabolic (MESH:D008659), hypoxia (MESH:D000860), Frailty (MESH:D000073496), multiorgan dysfunction (MESH:D009102), renal dysfunction (MESH:D007674), AKI (MESH:D058186)
- **Chemicals:** lactate (MESH:D019344), DO2 (-), oxygen (MESH:D010100), potassium (MESH:D011188), carbon dioxide (MESH:D002245)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12937169/full.md

## References

35 references — full list in the complete paper: https://tomesphere.com/paper/PMC12937169/full.md

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Source: https://tomesphere.com/paper/PMC12937169