Objectives
We sought to evaluate the efficacy, efficiency and physiological consequences of automated, end-point directed resuscitation systems and compare them to formula-based bolus resuscitation.
Design
Experimental human hemorrhage and resuscitation
Setting
Clinical Research Laboratory
Subjects
Healthy volunteers
Interventions
Subjects (n=7) were subjected to hemorrhage and underwent a randomized fluid resuscitation scheme on separate visits 1) formula-based bolus resuscitation (BR) 2) semi-autonomous (decision-assist, DA) fluid administration and 3) fully autonomous (closed-loop, CL) resuscitation. Hemodynamic parameters, volume shifts, fluid balance, and cardiac function were monitored during hemorrhage and resuscitation. Treatment modalities were compared based on resuscitation efficacy and efficiency.
Measurements and Main Results
All approaches achieved target BP by 60 min. Following hemorrhage, the total amount of infused fluid (BR: 30ml/kg, DA: 5.6±3 ml/kg, CL: 4.2±2ml/kg, p<0.001), plasma volume, extravascular volume (BR: 17±4ml/kg, DA: 3±1ml/kg, CL: -0.3±0.3ml/kg, p<0.001), body weight and urinary output remained stable under DA and CL and were significantly increased under bolus resuscitation. Mean arterial pressure initially decreased further under bolus resuscitation (-10mmHg, p<0.001) and was lower under BR than CL at 20min (BR: 57±2mmHg CL: 69±4mmHg, p=0.036). Colloid-osmotic pressure (BR: 19.3±2mmHg DA, CL: 24±0.4mmHg, p<0.05) and hemoglobin concentration were significantly decreased after bolus fluid administration.
Conclusions
We define efficacy of decision-assist and closed-loop resuscitation in human hemorrhage. In comparison to formula-based bolus resuscitation, both semiautonomous and autonomous approaches were more efficient in goal-directed resuscitation of hemorrhage. They provide favorable conditions for the avoidance of over-resuscitation and its adverse clinical sequelae. Decision-assist and closed-loop resuscitation algorithms are promising technological solutions for constrained environments and areas of limited resources.