Literature DB >> 25296111

Early warning system scores for clinical deterioration in hospitalized patients: a systematic review.

M E Beth Smith1, Joseph C Chiovaro, Maya O'Neil, Devan Kansagara, Ana R Quiñones, Michele Freeman, Makalapua L Motu'apuaka, Christopher G Slatore.   

Abstract

RATIONALE: Early warning system (EWS) scores are used by hospital care teams to recognize early signs of clinical deterioration and trigger more intensive care.
OBJECTIVE: To systematically review the evidence on the ability of early warning system scores to predict a patient's risk of clinical deterioration and the impact of early warning system implementation on health outcomes and resource utilization.
METHODS: We searched the MEDLINE, CINAHL, and Cochrane Central Register of Controlled Trials databases through May 2014. We included English-language studies of early warning system scores used with adults admitted to medical or surgical wards. We abstracted study characteristics, including population, setting, sample size, duration, and criteria used for early warning system scoring. For predictive ability, the primary outcomes were modeled for discrimination on 48-hour mortality, cardiac arrest, or pulmonary arrest. Outcomes for the impact of early warning system implementation included 30-day mortality, cardiovascular events, use of vasopressors, respiratory failure, days on ventilator, and resource utilization. We assessed study quality using a modified Quality in Prognosis Studies assessment tool where applicable.
MEASUREMENTS AND MAIN RESULTS: Of 11,183 citations studies reviewed, one controlled trial and 20 observational studies of 13 unique models met our inclusion criteria. In eight studies, researchers addressed the predictive ability of early warning system tools and found a strong predictive value for death (area under the receiver operating characteristic curve [AUROC], 0.88-0.93) and cardiac arrest (AUROC, 0.74-0.86) within 48 hours. In 13 studies (one controlled trial and 12 pre-post observational studies), researchers addressed the impact on health outcomes and resource utilization and had mixed results. The one controlled trial was of good quality, and the researchers found no difference in mortality, transfers to the ICU, or length of hospital stay. The pre-post designs of the remaining studies have significant methodological limitations, resulting in insufficient evidence to draw conclusions.
CONCLUSIONS: Early warning system scores perform well for prediction of cardiac arrest and death within 48 hours, although the impact on health outcomes and resource utilization remains uncertain, owing to methodological limitations. Efforts to assess performance and effectiveness more rigorously will be needed as early warning system use becomes more widespread.

Entities:  

Keywords:  clinical deterioration; early warning systems; systematic review

Mesh:

Year:  2014        PMID: 25296111     DOI: 10.1513/AnnalsATS.201403-102OC

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  84 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.  The inclusion of delirium in version 2 of the National Early Warning Score will substantially increase the alerts for escalating levels of care: findings from a retrospective database study of emergency medical admissions in two hospitals .

Authors:  Mohammed A Mohammed; Muhammad Faisal; Donald Richardson; Andy Scally; Robin Howes; Kevin Beatson; Sally Irwin; Kevin Speed
Journal:  Clin Med (Lond)       Date:  2019-03       Impact factor: 2.659

3.  Where We Fail: Location and Timing of Failure to Rescue in Trauma.

Authors:  Jennifer J Chung; Emily C Earl-Royal; M Kit Delgado; Jose L Pascual; Patrick M Reilly; Douglas J Wiebe; Daniel N Holena
Journal:  Am Surg       Date:  2017-03-01       Impact factor: 0.688

Review 4.  Development and validation of early warning score system: A systematic literature review.

Authors:  Li-Heng Fu; Jessica Schwartz; Amanda Moy; Chris Knaplund; Min-Jeoung Kang; Kumiko O Schnock; Jose P Garcia; Haomiao Jia; Patricia C Dykes; Kenrick Cato; David Albers; Sarah Collins Rossetti
Journal:  J Biomed Inform       Date:  2020-04-08       Impact factor: 6.317

5.  Rapid response systems for paediatrics: Suggestions for optimal organization and training.

Authors:  Adam Cheng; Angelo Mikrogianakis
Journal:  Paediatr Child Health       Date:  2018-02-15       Impact factor: 2.253

Review 6.  Statistical Modeling and Aggregate-Weighted Scoring Systems in Prediction of Mortality and ICU Transfer: A Systematic Review.

Authors:  Daniel T Linnen; Gabriel J Escobar; Xiao Hu; Elizabeth Scruth; Vincent Liu; Caroline Stephens
Journal:  J Hosp Med       Date:  2019-03       Impact factor: 2.960

7.  Quick Sepsis-related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores for Detecting Clinical Deterioration in Infected Patients outside the Intensive Care Unit.

Authors:  Matthew M Churpek; Ashley Snyder; Xuan Han; Sarah Sokol; Natasha Pettit; Michael D Howell; Dana P Edelson
Journal:  Am J Respir Crit Care Med       Date:  2017-04-01       Impact factor: 21.405

8.  The Location and Timing of Failure-to-Rescue Events Across a Statewide Trauma System.

Authors:  Catherine E Sharoky; Niels D Martin; Brian P Smith; Jose L Pascual; Lewis J Kaplan; Patrick M Reilly; Daniel N Holena
Journal:  J Surg Res       Date:  2018-11-26       Impact factor: 2.192

9.  Prediction of imminent, severe deterioration of children with parallel circulations using real-time processing of physiologic data.

Authors:  Craig G Rusin; Sebastian I Acosta; Lara S Shekerdemian; Eric L Vu; Aarti C Bavare; Risa B Myers; Lance W Patterson; Ken M Brady; Daniel J Penny
Journal:  J Thorac Cardiovasc Surg       Date:  2016-04-16       Impact factor: 5.209

10.  Advancing In-Hospital Clinical Deterioration Prediction Models.

Authors:  Alvin D Jeffery; Mary S Dietrich; Daniel Fabbri; Betsy Kennedy; Laurie L Novak; Joseph Coco; Lorraine C Mion
Journal:  Am J Crit Care       Date:  2018-09       Impact factor: 2.228

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