Literature DB >> 27858814

Moving Beyond Single-Parameter Early Warning Scores for Rapid Response System Activation.

Matthew M Churpek1, Dana P Edelson.   

Abstract

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Year:  2016        PMID： 27858814      PMCID： PMC5117425          DOI： 10.1097/CCM.0000000000002105

Source DB:  PubMed          Journal:  Crit Care Med        ISSN： 0090-3493            Impact factor:   7.598


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  13 in total

1.  Can physiological variables and early warning scoring systems allow early recognition of the deteriorating surgical patient?

Authors:  Brian H Cuthbertson; Massoud Boroujerdi; Laurin McKie; Lorna Aucott; Gordon Prescott
Journal:  Crit Care Med       Date:  2007-02       Impact factor: 7.598

2.  Aggregate National Early Warning Score (NEWS) values are more important than high scores for a single vital signs parameter for discriminating the risk of adverse outcomes.

Authors:  Stuart Jarvis; Caroline Kovacs; Jim Briggs; Paul Meredith; Paul E Schmidt; Peter I Featherstone; David R Prytherch; Gary B Smith
Journal:  Resuscitation       Date:  2014-11-26       Impact factor: 5.262

3.  Early detection of impending physiologic deterioration among patients who are not in intensive care: development of predictive models using data from an automated electronic medical record.

Authors:  Gabriel J Escobar; Juan Carlos LaGuardia; Benjamin J Turk; Arona Ragins; Patricia Kipnis; David Draper
Journal:  J Hosp Med       Date:  2012-03-22       Impact factor: 2.960

4.  Medical emergency team activation: performance of conventional dichotomised criteria versus national early warning score.

Authors:  Joonas Tirkkonen; Klaus T Olkkola; Heini Huhtala; Jyrki Tenhunen; Sanna Hoppu
Journal:  Acta Anaesthesiol Scand       Date:  2014-02-12       Impact factor: 2.105

5.  The value of vital sign trends for detecting clinical deterioration on the wards.

Authors:  Matthew M Churpek; Richa Adhikari; Dana P Edelson
Journal:  Resuscitation       Date:  2016-02-16       Impact factor: 5.262

6.  Multicenter development and validation of a risk stratification tool for ward patients.

Authors:  Matthew M Churpek; Trevor C Yuen; Christopher Winslow; Ari A Robicsek; David O Meltzer; Robert D Gibbons; Dana P Edelson
Journal:  Am J Respir Crit Care Med       Date:  2014-09-15       Impact factor: 21.405

7.  Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.

Authors:  Matthew M Churpek; Trevor C Yuen; Christopher Winslow; David O Meltzer; Michael W Kattan; Dana P Edelson
Journal:  Crit Care Med       Date:  2016-02       Impact factor: 7.598

Review 8.  Risk stratification of hospitalized patients on the wards.

Authors:  Matthew M Churpek; Trevor C Yuen; Dana P Edelson
Journal:  Chest       Date:  2013-06       Impact factor: 9.410

9.  A Comparison of the Ability of the Physiologic Components of Medical Emergency Team Criteria and the U.K. National Early Warning Score to Discriminate Patients at Risk of a Range of Adverse Clinical Outcomes.

Authors:  Gary B Smith; David R Prytherch; Stuart Jarvis; Caroline Kovacs; Paul Meredith; Paul E Schmidt; Jim Briggs
Journal:  Crit Care Med       Date:  2016-12       Impact factor: 7.598

10.  Real-Time Risk Prediction on the Wards: A Feasibility Study.

Authors:  Michael A Kang; Matthew M Churpek; Frank J Zadravecz; Richa Adhikari; Nicole M Twu; Dana P Edelson
Journal:  Crit Care Med       Date:  2016-08       Impact factor: 7.598
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  5 in total

Review 1.  Early warning systems and rapid response systems for the prevention of patient deterioration on acute adult hospital wards.

Authors:  Jennifer McGaughey; Dean A Fergusson; Peter Van Bogaert; Louise Rose
Journal:  Cochrane Database Syst Rev       Date:  2021-11-22

2.  The Modified Early Warning Score: A Useful Marker of Neurological Worsening but Unreliable Predictor of Sepsis in the Neurocritically Ill-A Retrospective Cohort Study.

Authors:  Jeannette Hester; Teddy S Youn; Erin Trifilio; Christopher P Robinson; Marc-Alain Babi; Pouya Ameli; William Roth; Sebastian Gatica; Michael A Pizzi; Aimee Gennaro; Charles Crescioni; Carolina B Maciel; Katharina M Busl
Journal:  Crit Care Explor       Date:  2021-05-18

3.  Machine learning to assist clinical decision-making during the COVID-19 pandemic.

Authors:  Shubham Debnath; Douglas P Barnaby; Kevin Coppa; Alexander Makhnevich; Eun Ji Kim; Saurav Chatterjee; Viktor Tóth; Todd J Levy; Marc D Paradis; Stuart L Cohen; Jamie S Hirsch; Theodoros P Zanos
Journal:  Bioelectron Med       Date:  2020-07-10

4.  Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model.

Authors:  Viktor Tóth; Marsha Meytlis; Douglas P Barnaby; Kevin R Bock; Michael I Oppenheim; Yousef Al-Abed; Thomas McGinn; Karina W Davidson; Lance B Becker; Jamie S Hirsch; Theodoros P Zanos
Journal:  NPJ Digit Med       Date:  2020-11-13

5.  Adaptive threshold-based alarm strategies for continuous vital signs monitoring.

Authors:  Mathilde C van Rossum; Lyan B Vlaskamp; Linda M Posthuma; Maarten J Visscher; Martine J M Breteler; Hermie J Hermens; Cor J Kalkman; Benedikt Preckel
Journal:  J Clin Monit Comput       Date:  2021-02-11       Impact factor: 1.977
  5 in total

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