Closed-loop and decision-assist resuscitation of burn patients.
Effective resuscitation is critical in reducing mortality and morbidity rates of patients with acute burns. To this end, guidelines and formulas have been developed to define infusion rates and volume requirements during the first 48 hours postburn. Even with these standardized resuscitation guidelines, however, over- and under-resuscitation are not uncommon. Two approaches to adjust infusion rate are decision-assist and closed-loop algorithms based on levels of urinary output. Specific decision assist guidelines or a closed-loop system using computer-controlled feedback technology that supplies automatic control of infusion rates can potentially achieve better control of urinary output. In a properly designed system, closed-loop control has the potential to provide more accurate titration rates, while lowering the incidence of over- and under-resuscitation. Because the system can self-adjust based on monitoring inputs, the technology can be pushed to environments such as combat zones where burn resuscitation expertise is limited. A closed-loop system can also assist in the management of mass casualties, another scenario in which medical expertise is often in short supply. This article reviews the record of fluid balance of contemporary burn resuscitation and approaches, as well as the engineering efforts, animal studies, and algorithm development of our most recent autonomous systems for burn resuscitation.
Salinas
Jose
J
U.S. Army Institute of Surgical Research, Fort Sam Houston, TX 78234-6315, USA. jose.salinas@amedd.army.mil
Drew
Guy
G
Gallagher
James
J
Cancio
Leopoldo C
LC
Wolf
Steven E
SE
Wade
Charles E
CE
Holcomb
John B
JB
Herndon
David N
DN
Kramer
George C
GC
D000465:Algorithms; D000818:Animals; D002056:Burns / Q000628:therapy*; D003422:Critical Care / Q000379:methods*; D003657:Decision Making; D005440:Fluid Therapy / Q000379:methods* / Q000592:standards; D006801:Humans; D008887:Military Medicine / Q000379:methods; D012151:Resuscitation / Q000379:methods*