Title |
Abnormal vital signs are strong predictors for intensive care unit admission and in-hospital mortality in adults triaged in the emergency department - a prospective cohort study
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Published in |
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, April 2012
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DOI | 10.1186/1757-7241-20-28 |
Pubmed ID | |
Authors |
Charlotte Barfod, Marlene Mauson Pankoke Lauritzen, Jakob Klim Danker, György Sölétormos, Jakob Lundager Forberg, Peter Anthony Berlac, Freddy Lippert, Lars Hyldborg Lundstrøm, Kristian Antonsen, Kai Henrik Wiborg Lange |
Abstract |
Assessment and treatment of the acutely ill patient have improved by introducing systematic assessment and accelerated protocols for specific patient groups. Triage systems are widely used, but few studies have investigated the ability of the triage systems in predicting outcome in the unselected acute population. The aim of this study was to quantify the association between the main component of the Hillerød Acute Process Triage (HAPT) system and the outcome measures; Admission to Intensive Care Unit (ICU) and in-hospital mortality, and to identify the vital signs, scored and categorized at admission, that are most strongly associated with the outcome measures. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 75% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
Iran, Islamic Republic of | 1 | <1% |
United States | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 238 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 33 | 14% |
Student > Ph. D. Student | 30 | 12% |
Student > Bachelor | 30 | 12% |
Researcher | 29 | 12% |
Other | 21 | 9% |
Other | 41 | 17% |
Unknown | 59 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 107 | 44% |
Nursing and Health Professions | 33 | 14% |
Computer Science | 11 | 5% |
Engineering | 11 | 5% |
Agricultural and Biological Sciences | 7 | 3% |
Other | 10 | 4% |
Unknown | 64 | 26% |