Dynamic Data During Hypotensive Episode Improves Mortality Predictions Among Patients With Sepsis and Hypotension*

Abstract

Hospital mortality predictions based on dynamic variables surrounding a hypotensive event is a new approach to predicting prognosis. A model using these variables has good discrimination and calibration and offers additional predictive prognostic information beyond established ones.

Keywords

MedicineLogistic regressionIntensive careReceiver operating characteristicRetrospective cohort studyEmergency medicineSepsisVital signsStatisticIntensive care medicineInternal medicineStatisticsSurgery

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Publication Info

Year: 2013
Type: article
Volume: 41
Issue: 4
Pages: 954-962
Citations: 64
Access: Closed

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APA Style

                            
                                
                                    Louis Mayaud, 
                                
                                    Peggy S. Lai, 
                                
                                    Gari D. Clifford
                                
                                et al.
                            
                            (2013). 
                            Dynamic Data During Hypotensive Episode Improves Mortality Predictions Among Patients With Sepsis and Hypotension*. 
                            Critical Care Medicine
                            , 41
                            (4)
                            , 954-962.
                            https://doi.org/10.1097/ccm.0b013e3182772adb
                        

Identifiers

DOI: 10.1097/ccm.0b013e3182772adb