TY - JOUR
T1 - Triage vital signs predict in-hospital mortality among emergency department patients with acute poisoning
T2 - A case control study
AU - Yu, Jiun Hao
AU - Weng, Yi Ming
AU - Chen, Kuan Fu
AU - Chen, Shou Yen
AU - Lin, Chih Chuan
PY - 2012
Y1 - 2012
N2 - Background: To document the relationship between triage vital signs and in-hospital mortality among emergency department (ED) patients with acute poisoning. Methods. Poisoning patients who admitted to our emergency department during the study period were enrolled. Patients demographic data were collected and odds ratios (OR) of triage vital signs to in-hospital mortality were assessed. Receiver operating characteristic curve was used to determine the proper cut-off value of vital signs that predict in-hospital mortality. Logistic regression analysis was performed to test the association of in-hospital mortality and vital signs after adjusting for different variables. Results: 997 acute poisoning patients were enrolled, with 70 fatal cases (6.7%). A J-shaped relationship was found between triage vital signs and in-hospital mortality. ED triage vital signs exceed cut-off values independently predict in-hospital mortality after adjusting for variables were as follow: body temperature <36 or >37°C, p<0.01, OR=2.8; systolic blood pressure <100 or >150mmHg, p<0.01, OR: 2.5; heart rate <35 or >120bpm, p<0.01, OR: 3.1; respiratory rate <16 or >20 per minute, p=0.38, OR: 1.4. Conclusions: Triage vital signs could predict in-hospital mortality among ED patients with acute poisoning. A J-curve relationship was found between triage vital signs and in-hospital mortality. ED physicians should take note of the extreme initial vital signs in these patients.
AB - Background: To document the relationship between triage vital signs and in-hospital mortality among emergency department (ED) patients with acute poisoning. Methods. Poisoning patients who admitted to our emergency department during the study period were enrolled. Patients demographic data were collected and odds ratios (OR) of triage vital signs to in-hospital mortality were assessed. Receiver operating characteristic curve was used to determine the proper cut-off value of vital signs that predict in-hospital mortality. Logistic regression analysis was performed to test the association of in-hospital mortality and vital signs after adjusting for different variables. Results: 997 acute poisoning patients were enrolled, with 70 fatal cases (6.7%). A J-shaped relationship was found between triage vital signs and in-hospital mortality. ED triage vital signs exceed cut-off values independently predict in-hospital mortality after adjusting for variables were as follow: body temperature <36 or >37°C, p<0.01, OR=2.8; systolic blood pressure <100 or >150mmHg, p<0.01, OR: 2.5; heart rate <35 or >120bpm, p<0.01, OR: 3.1; respiratory rate <16 or >20 per minute, p=0.38, OR: 1.4. Conclusions: Triage vital signs could predict in-hospital mortality among ED patients with acute poisoning. A J-curve relationship was found between triage vital signs and in-hospital mortality. ED physicians should take note of the extreme initial vital signs in these patients.
UR - http://www.scopus.com/inward/record.url?scp=84865052784&partnerID=8YFLogxK
U2 - 10.1186/1472-6963-12-262
DO - 10.1186/1472-6963-12-262
M3 - 文章
C2 - 22900613
AN - SCOPUS:84865052784
SN - 1472-6963
VL - 12
JO - BMC Health Services Research
JF - BMC Health Services Research
IS - 1
M1 - 262
ER -