Literature DB >> 22929140

Test characteristics of an automated age- and temperature-adjusted tachycardia alert in pediatric septic shock.

Andrea T Cruz1, Eric A Williams, Jeanine M Graf, Andrew M Perry, Devin E Harbin, Elizabeth R Wuestner, Binita Patel.   

Abstract

OBJECTIVES: This study aimed to create and analyze the performance of an automated triage tool alerting triage nursing staff and physicians to an abnormal heart rate consistent with septic shock in a pediatric emergency department.
METHODS: A computerized best-practice alert (BPA) triage system corrected heart rate for temperature (5 beats per minute for each 1°F above 100°F or 9.6-10 beats per minute for each 1°C > 36°C) and alarmed on tachycardia. If patients appeared ill and/or had medical comorbidities predisposing them to sepsis, a "shock protocol" was activated. Sensitivity was calculated for patients clinically diagnosed with shock during the study period.
RESULTS: During the study period (February to August 2010), the BPA was triggered in 4552 (11.5%) of 39,697 visits. Mean age was 5.4 years (range, 18 days to 18 years); 53% were female. The tool was 81% sensitive in identifying the 210 patients with shock. Missed patients were more likely to be previously healthy (odds ratio, 2.7; 95% confidence interval, 1.2-6.2), younger (5.7 vs 8.7 years, P = 0.004), and less likely to have a malignancy (odds ratio, 0.38; 95% confidence interval, 0.2-0.8). The tool was 89% specific; positive and negative predictive values were 4% and 99.9%, respectively.
CONCLUSIONS: The BPA-automated sensitive triage tool, based solely on initial temperature and heart rate, led to the identification of most children with septic shock, even before clinical acumen and laboratory values were incorporated into the diagnostic algorithm.

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Year:  2012        PMID: 22929140     DOI: 10.1097/PEC.0b013e318267a78a

Source DB:  PubMed          Journal:  Pediatr Emerg Care        ISSN: 0749-5161            Impact factor:   1.454


  17 in total

1.  Validation of Test Performance and Clinical Time Zero for an Electronic Health Record Embedded Severe Sepsis Alert.

Authors:  Joshua Rolnick; N Lance Downing; John Shepard; Weihan Chu; Julia Tam; Alexander Wessels; Ron Li; Brian Dietrich; Michael Rudy; Leon Castaneda; Lisa Shieh
Journal:  Appl Clin Inform       Date:  2016-06-22       Impact factor: 2.342

2.  Automating a Manual Sepsis Screening Tool in a Pediatric Emergency Department.

Authors:  Julia K Lloyd; Erin A Ahrens; Donnie Clark; Terri Dachenhaus; Kathryn E Nuss
Journal:  Appl Clin Inform       Date:  2018-10-31       Impact factor: 2.342

3.  Comparison of Two Sepsis Recognition Methods in a Pediatric Emergency Department.

Authors:  Fran Balamuth; Elizabeth R Alpern; Robert W Grundmeier; Marianne Chilutti; Scott L Weiss; Julie C Fitzgerald; Katie Hayes; Warren Bilker; Ebbing Lautenbach
Journal:  Acad Emerg Med       Date:  2015-10-16       Impact factor: 3.451

4.  Surviving Sepsis Screening: The Unintended Consequences of Continuous Surveillance.

Authors:  Wade N Harrison; Jennifer K Workman; Christopher P Bonafide; Justin M Lockwood
Journal:  Hosp Pediatr       Date:  2020-11-12

5.  Improving Recognition of Pediatric Severe Sepsis in the Emergency Department: Contributions of a Vital Sign-Based Electronic Alert and Bedside Clinician Identification.

Authors:  Fran Balamuth; Elizabeth R Alpern; Mary Kate Abbadessa; Katie Hayes; Aileen Schast; Jane Lavelle; Julie C Fitzgerald; Scott L Weiss; Joseph J Zorc
Journal:  Ann Emerg Med       Date:  2017-06-02       Impact factor: 5.721

6.  Development and Validation of a Predictive Model of the Risk of Pediatric Septic Shock Using Data Known at the Time of Hospital Arrival.

Authors:  Halden F Scott; Kathryn L Colborn; Carter J Sevick; Lalit Bajaj; Niranjan Kissoon; Sara J Deakyne Davies; Allison Kempe
Journal:  J Pediatr       Date:  2019-11-13       Impact factor: 4.406

7.  The American College of Critical Care Medicine Clinical Practice Parameters for Hemodynamic Support of Pediatric and Neonatal Septic Shock: Executive Summary.

Authors:  Alan L Davis; Joseph A Carcillo; Rajesh K Aneja; Andreas J Deymann; John C Lin; Trung C Nguyen; Regina S Okhuysen-Cawley; Monica S Relvas; Ranna A Rozenfeld; Peter W Skippen; Bonnie J Stojadinovic; Eric A Williams; Tim S Yeh; Fran Balamuth; Joe Brierley; Allan R de Caen; Ira M Cheifetz; Karen Choong; Edward Conway; Timothy Cornell; Allan Doctor; Marc-Andre Dugas; Jonathan D Feldman; Julie C Fitzgerald; Heidi R Flori; James D Fortenberry; Ana Lia Graciano; Bruce M Greenwald; Mark W Hall; Yong Yun Han; Lynn J Hernan; Jose E Irazuzta; Elizabeth Iselin; Elise W van der Jagt; Howard E Jeffries; Saraswati Kache; Chhavi Katyal; Niranjan Kissoon; Alexander A Kon; Martha C Kutko; Graeme MacLaren; Timothy Maul; Renuka Mehta; Fola Odetola; Kristine Parbuoni; Raina Paul; Mark J Peters; Suchitra Ranjit; Karin E Reuter-Rice; Eduardo J Schnitzler; Halden F Scott; Adalberto Torres; Jacki Weingarten-Abrams; Scott L Weiss; Jerry J Zimmerman; Aaron L Zuckerberg
Journal:  Pediatr Crit Care Med       Date:  2017-09       Impact factor: 3.624

8.  Heart rates in hospitalized children by age and body temperature.

Authors:  Carrie Daymont; Christopher P Bonafide; Patrick W Brady
Journal:  Pediatrics       Date:  2015-05       Impact factor: 7.124

9.  Design, Implementation, and Validation of a Pediatric ICU Sepsis Prediction Tool as Clinical Decision Support.

Authors:  Maya Dewan; Rhea Vidrine; Matthew Zackoff; Zachary Paff; Brandy Seger; Stephen Pfeiffer; Philip Hagedorn; Erika L Stalets
Journal:  Appl Clin Inform       Date:  2020-03-25       Impact factor: 2.342

10.  Evaluation of a Sepsis Alert in the Pediatric Acute Care Setting.

Authors:  Karen DiValerio Gibbs; Yan Shi; Nicole Sanders; Anthony Bodnar; Terri Brown; Mona D Shah; Lauren M Hess
Journal:  Appl Clin Inform       Date:  2021-05-26       Impact factor: 2.762

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