title: Predicting cardiorespiratory instability.
abstract: This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency medicine 2016. Other selected articles can be found online at http://www.biomedcentral.com/collections/annualupdate2016. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.
authors.affiliation: Department of Critical Care Medicine, University of Pittsburgh, 15261, Pittsburgh, PA, USA. pinsky@pitt.edu.|Department of Anesthesiology, University of California, San Diego, La Jolla, CA, USA. pinsky@pitt.edu.
authors.forename: Michael R
authors.initials: MR
authors.lastname: Pinsky
authors.affiliation: Department of Critical Care Medicine, University of Pittsburgh, 15261, Pittsburgh, PA, USA.
authors.forename: Gilles
authors.initials: G
authors.lastname: Clermont
authors.affiliation: Department of Tertiary Care Nursing, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
authors.forename: Marilyn
authors.initials: M
authors.lastname: Hravnak
mesh_terms: D004635:Emergency Medicine / Q000379:methods; D006801:Humans; D007362:Intensive Care Units; D008991:Monitoring, Physiologic / Q000379:methods*; D012131:Respiratory Insufficiency / Q000175:diagnosis* / Q000628:therapy*; D055986:Vital Signs / Q000502:physiology*