Autonomous precision resuscitation during ground and air transport of an animal hemorrhagic shock model.
Michael R PinskyHernando GomezFrancis X GuyetteLeonard WeissArtur DubrawskiJim LeonardRobert MacLachlanLisa GordonTheodore LagattutaDavid SalcidoRonald PoropatichPublished in: Intensive care medicine experimental (2024)
We tested the ability of a physiologically driven minimally invasive closed-loop algorithm, called Resuscitation based on Functional Hemodynamic Monitoring (ReFit), to stabilize for up to 3 h a porcine model of noncompressible hemorrhage induced by severe liver injury and do so during both ground and air transport. Twelve animals were resuscitated using ReFit to drive fluid and vasopressor infusion to a mean arterial pressure (MAP) > 60 mmHg and heart rate < 110 min -1 30 min after MAP < 40 mmHg following liver injury. ReFit was initially validated in 8 animals in the laboratory, then in 4 animals during air (23nm and 35nm) and ground (9 mi) to air (9.5nm and 83m) transport returning to the laboratory. The ReFit algorithm kept all animals stable for ~ 3 h. Thus, ReFit algorithm can diagnose and treat ongoing hemorrhagic shock independent to the site of care or during transport. These results have implications for treatment of critically ill patients in remote, austere and contested environments and during transport to a higher level of care.
Keyphrases
- liver injury
- drug induced
- heart rate
- cardiac arrest
- machine learning
- minimally invasive
- healthcare
- deep learning
- photodynamic therapy
- palliative care
- blood pressure
- heart rate variability
- cardiopulmonary resuscitation
- pain management
- early onset
- neural network
- chronic pain
- combination therapy
- affordable care act
- health insurance