title: Predicting vasopressor needs using dynamic parameters.
authors.affiliation: Unidad de Cuidados Intensivos, Hospital SAS de Jerez, Jerez de La Frontera, Spain. ignaciomonge@gmail.com.
authors.forename: M Ignacio
authors.initials: MI
authors.lastname: Monge García
authors.affiliation: Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, USA.
authors.forename: Michael R
authors.initials: MR
authors.lastname: Pinsky
authors.affiliation: Department of Intensive Care Medicine, St. George's Healthcare NHS Trust, London, UK.
authors.forename: Maurizio
authors.initials: M
authors.lastname: Cecconi
mesh_terms: D001158:Arteries / Q000503:physiopathology; D001794:Blood Pressure / Q000187:drug effects / Q000502:physiology*; D003935:Diagnostic Techniques, Cardiovascular; D005440:Fluid Therapy / Q000379:methods* / Q000592:standards; D006439:Hemodynamics; D006801:Humans; D007022:Hypotension / Q000503:physiopathology / Q000628:therapy*; D008991:Monitoring, Physiologic / Q000379:methods*; D011237:Predictive Value of Tests; D013318:Stroke Volume / Q000187:drug effects / Q000502:physiology*; D014662:Vasoconstrictor Agents / Q000627:therapeutic use*
chemical_list: D014662:Vasoconstrictor Agents