Worthing physiological scoring system: derivation and validation of a physiological early-warning system for medical admissions. An observational, population-based single-centre study† ‡
TLDR
The Worthing PSS was developed from the regression coefficients associated with each variable and showed good discrimination with an area under the receiver operating characteristic curve, 0.74, excluding age as a variable.Abstract:
Background Several physiological scoring systems (PSS) have been proposed for identifying those at risk of deterioration. However, the chosen specific physiological values chosen and the scores allocated have not been prospectively validated. In this study, we investigate the relative contributions of the ventilatory frequency, heart rate, arterial pressure, temperature, oxygen saturation, and conscious level to mortality in order to devise a robust scoring system. All data were collected on admission to the emergency unit. Precise ‘intervention-calling scores’ could then be derived to trigger interventions. Methods Our observational, population-based single-centred study took place in a 602-bedded district general hospital. Patients admitted to the emergency care unit at Worthing general hospital during an initial study period between July and November 2003 (n = 3184) and a further validation period between October and November 2005 (n = 1102) were included. Results Multivariate logistic regression analysis demonstrated that a ventilatory frequency ≥20 min−1, heart rate ≥102 min−1, systolic blood pressure ≤99 mm Hg, temperature Conclusions A simple validated scoring system to predict mortality in medical patients with precise ‘intervention-calling scores’ has been developed.read more
Citations
More filters
Journal ArticleDOI
European Resuscitation Council Guidelines for Resuscitation 2010 Section 4 Adult advanced life support
Charles D. Deakin,Jerry P. Nolan,Jasmeet Soar,Kjetil Sunde,Rudolph W. Koster,Gary B. Smith,Gavin D. Perkins +6 more
TL;DR: Cardiothoracic anesthetic, Southampton General Hospital, Southampton, UK Anesthesia and Intensive Care Medicine, Royal United Hospital, Bath, UK Anaesthesia and intensive care medicine, Southmead Hospital, Bristol, UK Surgical ICU, Oslo University Hospital Ulleval, Oslo, Norway Department of Cardiology, Academic Medical Center, Amsterdam, The Netherlands Critical Care and Resuscitation, University of Warwick, Warwick Medical School, Warwick, UK
Journal ArticleDOI
European Resuscitation Council Guidelines for Resuscitation 2010 Section 1. Executive summary.
Jerry P. Nolan,Jasmeet Soar,David Zideman,Dominique Biarent,Leo Bossaert,Charles D. Deakin,Rudolph W. Koster,Jonathan Wyllie,Bernd W. Böttiger +8 more
TL;DR: This book discusses Anaesthesia and Intensive Care Medicine, neonatology and Paediatrics, and any Anasthesiologie und Operative Intensivmedizin, which may apply to these fields.
Journal ArticleDOI
European Resuscitation Council Guidelines for Resuscitation 2015
Gavin D. Perkins,Gavin D. Perkins,Anthony J. Handley,Rudolph W. Koster,Maaret Castrén,Michael Smyth,Theresa M. Olasveengen,Koenraad G. Monsieurs,Koenraad G. Monsieurs,Violetta Raffay,Jan-Thorsten Gräsner,Volker Wenzel,Giuseppe Ristagno,Jasmeet Soar,Leo Bossaert,Antonio Caballero,Pascal Cassan,Cristina Granja,Claudio Sandroni,David Zideman,Jerry P. Nolan,Ian Maconochie,Robert Greif +22 more
TL;DR: This chapter contains guidance on the techniques used during the initial resuscitation of an adult cardiac arrest victim and the use of an automated external defibrillator (AED).
Journal ArticleDOI
European Resuscitation Council Guidelines for Resuscitation 2015: Section 3. Adult advanced life support.
Jasmeet Soar,Jerry P. Nolan,Bernd W. Böttiger,Gavin D. Perkins,Carsten Lott,Pierre Carli,Tommaso Pellis,Claudio Sandroni,Markus B. Skrifvars,Gary B. Smith,Kjetil Sunde,Charles D. Deakin +11 more
TL;DR: Anaesthesia and Intensive Care Medicine, Southmead Hospital, Bristol, UK Anaesthesia and intensive care Medicine, Royal United Hospital, Bath, UK School of Clinical Sciences, University of Bristol, United Kingdom, UK Department of Anesthesiology, and intensive care medicine, The National Institute for Mental Health (NIMH), London, UK NHS Foundation Trust, Coventry, UK The National Health Service (NHS), Coventry and Birmingham, UK Heart of England (HSE), Birmingham, Birmingham and The Royal National Institute of Neurological and Women's Health Service
Journal ArticleDOI
Part 1: Executive summary: 2010 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.
Mary Fran Hazinski,Jerry P. Nolan,John E. Billi,Bernd W. Böttiger,Leo Bossaert,Allan R. de Caen,Charles D. Deakin,Saul Drajer,Brian Eigel,Robert W. Hickey,Ian Jacobs,Monica E. Kleinman,Walter Kloeck,Rudolph W. Koster,Swee Han Lim,Mary E. Mancini,William H. Montgomery,Peter T. Morley,Laurie J. Morrison,Vinay M. Nadkarni,Robert E. O'Connor,Kazuo Okada,Jeffrey M. Perlman,Michael R. Sayre,Michael Shuster,Jasmeet Soar,Kjetil Sunde,Andrew H. Travers,Jonathan Wyllie,David Zideman +29 more
TL;DR: This publication contains the consensus science statements and treatment recommendations developed with input from the invited participants and summarizes the 2010 evidence evaluation of published science about the recognition and response to sudden life-threatening events.
References
More filters
Book
Applied Logistic Regression
David W. Hosmer,Stanley Lemeshow +1 more
TL;DR: Hosmer and Lemeshow as discussed by the authors provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets.
Journal ArticleDOI
Applied Logistic Regression.
TL;DR: Applied Logistic Regression, Third Edition provides an easily accessible introduction to the logistic regression model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables.
Journal ArticleDOI
A method of comparing the areas under receiver operating characteristic curves derived from the same cases.
TL;DR: This paper refines the statistical comparison of the areas under two ROC curves derived from the same set of patients by taking into account the correlation between the areas that is induced by the paired nature of the data.
Journal ArticleDOI
Validation of a modified Early Warning Score in medical admissions
TL;DR: The ability of a modified Early Warning Score (MEWS) to identify medical patients at risk of catastrophic deterioration in a busy clinical area was investigated and could be created, using nurse practitioners and/or critical care physicians, to respond to high scores and intervene with appropriate changes in clinical management.
Journal ArticleDOI
What do we mean by validating a prognostic model
TL;DR: How to validate a model is considered and it is suggested that it is desirable to consider two rather different aspects - statistical and clinical validity - and some general approaches to validation are examined.