Faculty Collaboration Database

Automated analysis of vital signs to identify patients with substantial bleeding before hospital arrival: a feasibility study. Shock 2015 May;43(5):429-36

Date

02/11/2015

Pubmed ID

25664983

DOI

10.1097/SHK.0000000000000328

Scopus ID

2-s2.0-84928614593 (requires institutional sign-in at Scopus site)   23 Citations

Abstract

Trauma outcomes are improved by protocols for substantial bleeding, typically activated after physician evaluation at a hospital. Previous analysis suggested that prehospital vital signs contained patterns indicating the presence or absence of substantial bleeding. In an observational study of adults (aged ≥18 years) transported to level I trauma centers by helicopter, we investigated the diagnostic performance of the Automated Processing of the Physiological Registry for Assessment of Injury Severity (APPRAISE) system, a computational platform for real-time analysis of vital signs, for identification of substantial bleeding in trauma patients with explicitly hemorrhagic injuries. We studied 209 subjects prospectively and 646 retrospectively. In our multivariate analysis, prospective performance was not significantly different from retrospective. The APPRAISE system was 76% sensitive for 24-h packed red blood cells of 9 or more units (95% confidence interval, 59% - 89%) and significantly more sensitive (P < 0.05) than any prehospital Shock Index of 1.4 or higher; sensitivity, 59%; initial systolic blood pressure (SBP) less than 110 mmHg, 50%; and any prehospital SBP less than 90 mmHg, 50%. The APPRAISE specificity for 24-h packed red blood cells of 0 units was 87% (88% for any Shock Index ≥1.4, 88% for initial SBP <110 mmHg, and 90% for any prehospital SBP <90 mmHg). Median APPRAISE hemorrhage notification time was 20 min before arrival at the trauma center. In conclusion, APPRAISE identified bleeding before trauma center arrival. En route, this capability could allow medics to focus on direct patient care rather than the monitor and, via advance radio notification, could expedite hospital interventions for patients with substantial blood loss.

Author List

Liu J, Khitrov MY, Gates JD, Odom SR, Havens JM, de Moya MA, Wilkins K, Wedel SK, Kittell EO, Reifman J, Reisner AT

Author

Marc Anthony De Moya MD Chief, Professor in the Surgery department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Adolescent
Adult
Aged
Air Ambulances
Automation
Blood Pressure
Emergency Medical Services
Feasibility Studies
Female
Hemorrhage
Humans
Injury Severity Score
Male
Middle Aged
Multivariate Analysis
Prospective Studies
Retrospective Studies
Shock
Time Factors
Trauma Centers
Triage
Vital Signs
Young Adult