Early warning score predicts acute mortality in stroke patients.

作者: J. Liljehult , T. Christensen

DOI: 10.1111/ANE.12452

关键词:

摘要: Objectives Clinical deterioration and death among patients with acute stroke are often preceded by detrimental changes in physiological parameters. Systematic effective tools to identify at risk of early enough intervene therefore needed. The aim the study was investigate whether aggregate weighted track trigger system warning score (EWS) can be used as a simple observational tool predict mortality population stroke. Materials methods Patients admitted Copenhagen University Hospital, Nordsjaellands Denmark, from May September 2012 were enrolled retrospective cohort (n = 274). Vital signs measured immediately after admission consistently during hospitalization period. Based on vital signs, single composite EWS calculated. Death within 30 days outcome. Area under receiver operating characteristics curve (AUROC) Kaplan–Meier computed examine prognostic validity EWS. Results A total 24 (8.8%) died 30 days. performance high for both (AUROC 0.856; 95% CI 0.760–0.951; P-value < 0.001) maximal 0.949; 0.919–0.980; P-value < 0.001). Mortality rates lowest 0–1 (2%) highest EWS ≥ 5 (63%). Conclusions Early is valid identifying dying stroke. Readily available parameters converted score, which guide nurses physicians clinical decision making resource allocation.

参考文章(16)
Marie von Lilienfeld-Toal, Kirsten Midgley, Suzanne Lieberbach, Lorna Barnard, Axel Glasmacher, Maria Gilleece, Gordon Cook, Observation-based early warning scores to detect impending critical illness predict in-hospital and overall survival in patients undergoing allogeneic stem cell transplantation. Biology of Blood and Marrow Transplantation. ,vol. 13, pp. 568- 576 ,(2007) , 10.1016/J.BBMT.2006.12.455
Christian P. Subbe, Haiyan Gao, David A. Harrison, Reproducibility of physiological track-and-trigger warning systems for identifying at-risk patients on the ward. Intensive Care Medicine. ,vol. 33, pp. 619- 624 ,(2007) , 10.1007/S00134-006-0516-8
Gary B. Smith, David R. Prytherch, Paul E. Schmidt, Peter I. Featherstone, Review and performance evaluation of aggregate weighted 'track and trigger' systems. Resuscitation. ,vol. 77, pp. 170- 179 ,(2008) , 10.1016/J.RESUSCITATION.2007.12.004
Gustavo José Luvizutto, Tamiris Aparecida Monteiro, Gabriel Braga, Octavio Marques Pontes-Neto, Luiz Antônio de Lima Resende, Rodrigo Bazan, Validation of the Scandinavian Stroke Scale in a Multicultural Population in Brazil Cerebrovascular Diseases Extra. ,vol. 2, pp. 121- 126 ,(2012) , 10.1159/000345948
Valery L Feigin, Carlene MM Lawes, Derrick A Bennett, Suzanne L Barker-Collo, Varsha Parag, None, Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review Lancet Neurology. ,vol. 8, pp. 355- 369 ,(2009) , 10.1016/S1474-4422(09)70025-0
J D Groarke, J Gallagher, J Stack, A Aftab, C Dwyer, R McGovern, G Courtney, Use of an admission early warning score to predict patient morbidity and mortality and treatment success Emergency Medicine Journal. ,vol. 25, pp. 803- 806 ,(2008) , 10.1136/EMJ.2007.051425
Haiyan Gao, Ann McDonnell, David A Harrison, Tracey Moore, Sheila Adam, Kathleen Daly, Lisa Esmonde, David R Goldhill, Gareth J Parry, Arash Rashidian, Christian P Subbe, Sheila Harvey, None, Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward Intensive Care Medicine. ,vol. 33, pp. 667- 679 ,(2007) , 10.1007/S00134-007-0532-3
L.P. Kammersgaard, H.S. Jørgensen, J.A. Rungby, J. Reith, H. Nakayama, U.J. Weber, J. Houth, T.S. Olsen, Admission body temperature predicts long-term mortality after acute stroke: the Copenhagen Stroke Study. Stroke. ,vol. 33, pp. 1759- 1762 ,(2002) , 10.1161/01.STR.0000019910.90280.F1
Mary Grzybowski, John G. Younger, Statistical Methodology: III. Receiver Operating Characteristic (ROC) Curves Academic Emergency Medicine. ,vol. 4, pp. 818- 826 ,(1997) , 10.1111/J.1553-2712.1997.TB03793.X