Literature DB >> 26497915

Accuracy of Bedside Paediatric Early Warning System (BedsidePEWS) in a Pediatric Stem Cell Transplant Unit.

Orsola Gawronski1, Marta L Ciofi Degli Atti2, Vincenzo Di Ciommo2, Corrado Cecchetti2, Alice Bertaina2, Emanuela Tiozzo2, Massimiliano Raponi2.   

Abstract

Hospital mortality in children who undergo stem cell transplant (SCT) is high. Early warning scores aim at identifying deteriorating patients and at preventing adverse outcomes. The bedside pediatric early warning system (BedsidePEWS) is a pediatric early warning score based on 7 clinical indicators, ranging from 0 (all indicators within normal ranges for age) to 26. The aim of this case-control study was to assess the performance of BedsidePEWS in identifying clinical deterioration events among children admitted to an SCT unit. Cases were defined as clinical deterioration events; controls were all the other patients hospitalized on the same ward at the time of case occurrence. BedsidePEWS was retrospectively measured at 4-hour intervals in cases and controls 24 hours before an event (T4-T24). We studied 19 cases and 80 controls. The score significantly increased in cases from a median of 4 at T24 to a median of 14 at T4. The proportion of correctly classified cases and controls was >90% since T8. The area under the curve receiver operating characteristic was 0.9. BedsidePEWS is an accurate screening tool to predict clinical deterioration in SCT patients.
© 2015 by Association of Pediatric Hematology/Oncology Nurses.

Entities:  

Keywords:  early warning score; hematopoietic stem cell transplantation; intensive care; pediatric; severity-of-disease scoring system

Mesh:

Year:  2015        PMID: 26497915     DOI: 10.1177/1043454215600154

Source DB:  PubMed          Journal:  J Pediatr Oncol Nurs        ISSN: 1043-4542            Impact factor:   1.636


  9 in total

1.  Health professionals' initial experiences and perceptions of the acceptability of a whole-hospital, pro-active electronic paediatric early warning system (the DETECT study): a qualitative interview study.

Authors:  Bernie Carter; Holly Saron; Sarah Siner; Jennifer Preston; Matthew Peak; Fulya Mehta; Steven Lane; Caroline Lambert; Dawn Jones; Hannah Hughes; Jane Harris; Leah Evans; Sarah Dee; Chin-Kien Eyton-Chong; Gerri Sefton; Enitan D Carrol
Journal:  BMC Pediatr       Date:  2022-06-24       Impact factor: 2.567

2.  Effect of a Pediatric Early Warning System on All-Cause Mortality in Hospitalized Pediatric Patients: The EPOCH Randomized Clinical Trial.

Authors:  Christopher S Parshuram; Karen Dryden-Palmer; Catherine Farrell; Ronald Gottesman; Martin Gray; James S Hutchison; Mark Helfaer; Elizabeth A Hunt; Ari R Joffe; Jacques Lacroix; Michael Alice Moga; Vinay Nadkarni; Nelly Ninis; Patricia C Parkin; David Wensley; Andrew R Willan; George A Tomlinson
Journal:  JAMA       Date:  2018-03-13       Impact factor: 56.272

3.  Identifying the critically ill paediatric oncology patient: a study protocol for a prospective observational cohort study for validation of a modified Bedside Paediatric Early Warning System score in hospitalised paediatric oncology patients.

Authors:  Marijn Soeteman; Teus H Kappen; Martine van Engelen; Ellen Kilsdonk; Erik Koomen; Edward E S Nieuwenhuis; Wim J E Tissing; Marta Fiocco; Marry van den Heuvel-Eibrink; Roelie M Wösten-van Asperen
Journal:  BMJ Open       Date:  2021-05-19       Impact factor: 2.692

4.  Accuracy and Efficiency of Recording Pediatric Early Warning Scores Using an Electronic Physiological Surveillance System Compared With Traditional Paper-Based Documentation.

Authors:  Gerri Sefton; Steven Lane; Roger Killen; Stuart Black; Max Lyon; Pearl Ampah; Cathryn Sproule; Dominic Loren-Gosling; Caitlin Richards; Jean Spinty; Colette Holloway; Coral Davies; April Wilson; Chung Shen Chean; Bernie Carter; E D Carrol
Journal:  Comput Inform Nurs       Date:  2017-05       Impact factor: 1.985

5.  Validity and effectiveness of paediatric early warning systems and track and trigger tools for identifying and reducing clinical deterioration in hospitalised children: a systematic review.

Authors:  Rob Trubey; Chao Huang; Fiona V Lugg-Widger; Kerenza Hood; Davina Allen; Dawn Edwards; David Lacy; Amy Lloyd; Mala Mann; Brendan Mason; Alison Oliver; Damian Roland; Gerri Sefton; Richard Skone; Emma Thomas-Jones; Lyvonne N Tume; Colin Powell
Journal:  BMJ Open       Date:  2019-05-05       Impact factor: 2.692

6.  Use of paediatric early warning scores in intermediate care units.

Authors:  Marie Emilie Lampin; Alain Duhamel; Hélène Behal; Morgan Recher; Francis Leclerc; Stéphane Leteurtre
Journal:  Arch Dis Child       Date:  2019-08-10       Impact factor: 3.791

7.  Perspective: A Framework to Screen Pediatric and Adolescent Hematopoietic Cellular Therapy Patients for Organ Dysfunction: Time for a Multi-Disciplinary and Longitudinal Approach.

Authors:  Ali H Ahmad; Kris M Mahadeo
Journal:  Front Oncol       Date:  2021-02-24       Impact factor: 6.244

8.  Clinical utility and acceptability of a whole-hospital, pro-active electronic paediatric early warning system (the DETECT study): A prospective e-survey of parents and health professionals.

Authors:  Bernie Carter; Holly Saron; Lucy Blake; Chin-Kien Eyton-Chong; Sarah Dee; Leah Evans; Jane Harris; Hannah Hughes; Dawn Jones; Caroline Lambert; Steven Lane; Fulya Mehta; Matthew Peak; Jennifer Preston; Sarah Siner; Gerri Sefton; Enitan D Carrol
Journal:  PLoS One       Date:  2022-09-15       Impact factor: 3.752

9.  Parents' experiences and perceptions of the acceptability of a whole-hospital, pro-active electronic pediatric early warning system (the DETECT study): A qualitative interview study.

Authors:  Holly Saron; Bernie Carter; Sarah Siner; Jennifer Preston; Matthew Peak; Fulya Mehta; Steven Lane; Caroline Lambert; Dawn Jones; Hannah Hughes; Jane Harris; Leah Evans; Sarah Dee; Chin-Kien Eyton-Chong; Enitan D Carrol; Gerri Sefton
Journal:  Front Pediatr       Date:  2022-08-30       Impact factor: 3.569

  9 in total

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