A vasopressor advisability index for hemodynamic monitoring.
To predict the need for vasopressor therapy, arterial blood pressure and heart rate are taken as inputs to a fuzzy-logic based algorithm that generates a 'vasopressor advisability index'. We evaluated the algorithm against patient records from a large intensive care database. The algorithm achieved a sensitivity of 69.7% and a specificity of 84.2% on a test set that was independent of the training set used.
Zong
Wei
W
Philips Healthcare, Andover, MA, USA.
Saeed
Mohammed
M
Nielsen
Larry
L
D000465:Algorithms; D001185:Artificial Intelligence; D001795:Blood Pressure Determination / Q000379:methods*; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000187:drug effects* / Q000379:methods*; D006801:Humans; D006973:Hypertension / Q000188:drug therapy*; D008404:Massachusetts; D014662:Vasoconstrictor Agents / Q000008:administration & dosage*
D014662:Vasoconstrictor Agents