Literature DB >> 31343475

Characteristics of Rapid Response Calls in the United States: An Analysis of the First 402,023 Adult Cases From the Get With the Guidelines Resuscitation-Medical Emergency Team Registry.

Patrick G Lyons1, Dana P Edelson2, Kyle A Carey2, Nicole M Twu2, Paul S Chan3, Mary Ann Peberdy4, Amy Praestgaard5, Matthew M Churpek2.   

Abstract

OBJECTIVES: To characterize the rapid response team activations, and the patients receiving them, in the American Heart Association-sponsored Get With The Guidelines Resuscitation-Medical Emergency Team cohort between 2005 and 2015.
DESIGN: Retrospective multicenter cohort study.
SETTING: Three hundred sixty U.S. hospitals. PATIENTS: Consecutive adult patients experiencing rapid response team activation.
INTERVENTIONS: Rapid response team activation.
MEASUREMENTS AND MAIN RESULTS: The cohort included 402,023 rapid response team activations from 347,401 unique healthcare encounters. Respiratory triggers (38.0%) and cardiac triggers (37.4%) were most common. The most frequent interventions-pulse oximetry (66.5%), other monitoring (59.6%), and supplemental oxygen (62.0%)-were noninvasive. Fluids were the most common medication ordered (19.3%), but new antibiotic orders were rare (1.2%). More than 10% of rapid response teams resulted in code status changes. Hospital mortality was over 14% and increased with subsequent rapid response activations.
CONCLUSIONS: Although patients requiring rapid response team activation have high inpatient mortality, most rapid response team activations involve relatively few interventions, which may limit these teams' ability to improve patient outcomes.

Entities:  

Year:  2019        PMID: 31343475     DOI: 10.1097/CCM.0000000000003912

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


  5 in total

Review 1.  Upcoming and urgent challenges in critical care research based on COVID-19 pandemic experience.

Authors:  Franck Verdonk; Dorien Feyaerts; Rafael Badenes; Julie A Bastarache; Adrien Bouglé; Wesley Ely; Brice Gaudilliere; Christopher Howard; Katarzyna Kotfis; Alexandre Lautrette; Matthieu Le Dorze; Babith Joseph Mankidy; Michael A Matthay; Christopher K Morgan; Aurélien Mazeraud; Brijesh V Patel; Rajyabardhan Pattnaik; Jean Reuter; Marcus J Schultz; Tarek Sharshar; Gentle S Shrestha; Charles Verdonk; Lorraine B Ware; Romain Pirracchio; Matthieu Jabaudon
Journal:  Anaesth Crit Care Pain Med       Date:  2022-06-30       Impact factor: 7.025

2.  Development and validation of a deep-learning-based pediatric early warning system: A single-center study.

Authors:  Seong Jong Park; Kyung-Jae Cho; Oyeon Kwon; Hyunho Park; Yeha Lee; Woo Hyun Shim; Chae Ri Park; Won Kyoung Jhang
Journal:  Biomed J       Date:  2021-01-18       Impact factor: 7.892

3.  Dynamic early warning scores for predicting clinical deterioration in patients with respiratory disease.

Authors:  Sherif Gonem; Adam Taylor; Grazziela Figueredo; Sarah Forster; Philip Quinlan; Jonathan M Garibaldi; Tricia M McKeever; Dominick Shaw
Journal:  Respir Res       Date:  2022-08-11

4.  Prevalence of rapid response systems in small hospitals: A questionnaire survey.

Authors:  Koji Hosokawa; Hiroki Kamada; Kohei Ota; Satoshi Yamaga; Junki Ishii; Nobuaki Shime
Journal:  Medicine (Baltimore)       Date:  2021-06-11       Impact factor: 1.817

5.  Perioperative Medical Emergencies in a 23-Hour Surgical Procedure Unit.

Authors:  Joseph De Zylva; Kym Osborn
Journal:  Risk Manag Healthc Policy       Date:  2020-11-03
  5 in total

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