Literature DB >> 19033494

Use of an admission early warning score to predict patient morbidity and mortality and treatment success.

J D Groarke1, J Gallagher, J Stack, A Aftab, C Dwyer, R McGovern, G Courtney.   

Abstract

BACKGROUND: Early warning scores (EWS) are used to identify physiological deterioration in patients. Studies to date have primarily focused on the correlation between trends in serially recorded EWS of inpatients and clinical outcomes. This study examined the predictive value of an EWS calculated immediately on presentation to hospital for acute medical patients.
METHOD: A prospective study of 225 consecutive medical admissions. Pulse, systolic blood pressure, respiratory rate, oxygen saturation and neurological status were used to calculate an EWS. Patients were divided into four score categories based on their EWS. The primary endpoints examined were intensive care unit (ICU)/coronary care unit (CCU) admission, death, cardiac arrest and length of hospital stay.
RESULTS: For each rise in score category there was an increased risk of admission to ICU (odds ratio (OR) 3.35, CI 1.52 to 7.40, p = 0.003), admission to CCU (OR 1.82, CI 1.07 to 3.09, p = 0.027), death (OR 2.19, CI 1.41 to 3.39, p = 0.000) and reaching the combined endpoint of CCU/ICU admission or death (OR 2.19, CI 1.41 to 3.39, p = 0.000). The higher the score the longer the length of hospital admission (p = 0.04). A decrease in EWS between first presentation to hospital and transfer to the ward was associated with a decreased risk of reaching the combined endpoint of CCU or ICU admission or death (OR 2.56, CI 1.11 to 5.89, p = 0.028). DISCUSSION: Higher admission EWS correlate with increased risk of CCU/ICU admission, death and longer hospital stays independent of patient age. An improvement in serial EWS within 4 h of presentation to hospital predicts improved clinical outcomes. The EWS is a potential triage tool in the emergency department for acute medical patients.

Entities:  

Mesh:

Year:  2008        PMID: 19033494     DOI: 10.1136/emj.2007.051425

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  18 in total

1.  Transfusion-associated circulatory overload in adult, medical emergency patients with perspectives on early warning practice: a single-centre, clinical study.

Authors:  Fanny Gosmann; Astrid Nørgaard; Maj-Britt Rasmussen; Charlotte Rahbek; Jens Seeberg; Tom Møller
Journal:  Blood Transfus       Date:  2017-01-26       Impact factor: 3.443

2.  A prognostic index for 1-year mortality can also predict in-hospital mortality of elderly medical patients.

Authors:  Marco Cei; Nicola Mumoli; José Vitale; Francesco Dentali
Journal:  Intern Emerg Med       Date:  2015-01-30       Impact factor: 3.397

3.  The predictive value of the modified early warning score with rapid lactate level (ViEWS-L) for mortality in patients of age 65 or older visiting the emergency department.

Authors:  Hasan Basri Cetınkaya; Ozlem Koksal; Deniz Sigirli; Emrah Habip Leylek; Ozlem Karasu
Journal:  Intern Emerg Med       Date:  2016-11-01       Impact factor: 3.397

Review 4.  Risk scoring systems for adults admitted to the emergency department: a systematic review.

Authors:  Mikkel Brabrand; Lars Folkestad; Nicola Groes Clausen; Torben Knudsen; Jesper Hallas
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2010-02-11       Impact factor: 2.953

Review 5.  Rapid response system.

Authors:  Tetsuro Sakai; Michael A Devita
Journal:  J Anesth       Date:  2009-08-14       Impact factor: 2.078

6.  Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience.

Authors:  Mini Bhatnagar; Nikita Sirohi; Aruna Bhagat Dubey
Journal:  J Family Med Prim Care       Date:  2021-01-30

7.  Risk assessment in the first fifteen minutes: a prospective cohort study of a simple physiological scoring system in the emergency department.

Authors:  Tobias M Merz; Reto Etter; Ludger Mende; Daniel Barthelmes; Jan Wiegand; Luca Martinolli; Jukka Takala
Journal:  Crit Care       Date:  2011-01-18       Impact factor: 9.097

8.  Improving recognition of patients at risk in a Portuguese general hospital: results from a preliminary study on the early warning score.

Authors:  Nuno Correia; Rui Paulo Rodrigues; Márcia Carvalho Sá; Paula Dias; Luís Lopes; Artur Paiva
Journal:  Int J Emerg Med       Date:  2014-07-10

9.  A clinical prediction model to identify patients at high risk of death in the emergency department.

Authors:  Michael Coslovsky; Jukka Takala; Aristomenis K Exadaktylos; Luca Martinolli; Tobias M Merz
Journal:  Intensive Care Med       Date:  2015-03-20       Impact factor: 17.440

10.  Comparison of risks factors for unplanned ICU transfer after ED admission in patients with infections and those without infections.

Authors:  Jeffrey Che-Hung Tsai; Ching-Wan Cheng; Shao-Jen Weng; Chin-Yin Huang; David Hung-Tsang Yen; Hsiu-Ling Chen
Journal:  ScientificWorldJournal       Date:  2014-01-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.