Patient characteristics, interventions and outcomes of 1151 rapid response team activations in a tertiary hospital: a prospective study

2016 ◽  
Vol 46 (12) ◽  
pp. 1398-1406 ◽  
Author(s):  
K. White ◽  
I. A. Scott ◽  
A. Bernard ◽  
K. McCulloch ◽  
A. Vaux ◽  
...  
2019 ◽  
Vol 95 (1124) ◽  
pp. 300-306
Author(s):  
Kyle White ◽  
Anne Bernard ◽  
Ian Scott

Purpose of the studyDespite mature rapid response systems (RRS) for clinical deterioration, individuals activating RRS have poor outcomes, with up to one in four dying in hospital. We aimed to derive and validate a risk prediction tool for estimating risk of 28-day mortality among hospitalised patients following rapid response team (RRT) activation.Study designAnalysis of prospectively collected data on 1151 consecutive RRT activations involving 800 inpatients at a tertiary adult hospital. Patient characteristics, RRT triggers and actions, and mortality were ascertained from medical records and death registries. A multivariable risk prediction regression model, derived from 600 randomly selected patients, was validated in the remaining 200 patients. Main outcome was accuracy of weighted risk score (measured by area under receiver operator curve (AUC)) and performance characteristics for various cut-off scores.ResultsAt 28 days, 150 (18.8%) patients had died. Increasing age, emergency admission, chronic liver disease, chronic kidney disease, malignancy, after-hours RRT activation, increasing National Early Warning Score, major/intense RRT intervention and multiple RRT activations were predictors of mortality. The risk score (0–105) in derivation and validation cohorts had AUCs 0.86 (95% CI 0.82 to 0.89) and 0.82 (95% CI 0.75 to 0.90), respectively. In the validation cohort, cut-off score of 32.5 or higher maximised sensitivity: 81.6% (95% CI 68.4% to 92.1%), specificity: 56.2% (95% CI 49.4% to 63.6%), positive likelihood ratio (LR): 1.9 (95% CI 1.5 to 2.3) and negative LR: 0.3 (95% CI 0.2 to 0.6).ConclusionA validated risk score predicted risk of post-RRT death with more than 80% accuracy, helping to identify patients for whom targeted rescue care may improve survival.


2020 ◽  
Vol 8 (6) ◽  
pp. 317-317
Author(s):  
Xiao-Yan Gong ◽  
Yong-Gang Wang ◽  
Hong-Yi Shao ◽  
Peng Lan ◽  
Ru-Shuang Yan ◽  
...  

Author(s):  
Boris Jung ◽  
Gerald Chanques ◽  
Samir Jaber ◽  
Kada Klouche

La mise en place d’une Rapid Response Team a pour objectif la mise en place d’une structure de réponse hospitalièrepour la prise en charge des urgences vitales et surtout une réponse précoce à la dégradation clinique des patientshospitalisés avant que l’urgence vitale ne survienne. Nous discutons dans ce manuscrit le rationnel et le niveau depreuve motivant la mise en place d’une Rapid Response Team ainsi que les freins qui doivent être surmontés pour lesuccès de cette mise en place.


2021 ◽  
Vol 45 (8) ◽  
Author(s):  
Jeremy P. Walco ◽  
Dorothee A. Mueller ◽  
Sameer Lakha ◽  
Liza M. Weavind ◽  
Jacob C. Clifton ◽  
...  

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