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March 26, 2026Critical Care Medicine0 citations

1588: Critical Escalation of Rapid Response Team Activation Varies by Diagnosis

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PGPranjal GuptaAMA. R. MooreGLGeoffrey Lighthall

Key Points

  • The study aims to identify diagnoses associated with critical escalation during rapid response team activations to guide early interventions.
  • Collected data on rapid response team activations from a hospital over two years.
  • Defined critical escalation based on outcomes like ICU admission, surgery, or death.
  • Analyzed diagnoses and escalation rates using chi-square tests and logistic regression for clinical variables.
  • Evaluated 2,426 rapid response team activations, with a 30% rate of critical escalation.
  • Bleeding, hypotension, and respiratory failure had the highest escalation rates at 55.7%, 45%, and 42%, respectively.
  • Clinical metrics like mean arterial pressure and heart rate were associated with escalation in specific diagnoses.

Abstract

Introduction: Rapid Response Team (RRT) activations are associated with significant morbidity and mortality. In this study, we investigated RRT activations to determine which diagnoses and clinical factors were associated with deterioration and may provide a means for early intervention. Methods: Data for all RRTs at Stanford Hospital from 3/30/23 to 2/26/25 was collected. “Critical escalation” was defined as an RRT end disposition in the ICU, operating room, or death. Diagnoses and resultant critical escalation were analyzed via chi square test. Diagnoses with high residuals were identified as “high-risk.” Within these diagnoses, logistic regression was performed on pertinent clinical variables within 24 hours leading up to RRT to identify association with escalation. Results: Of the 2,426 RRT activations evaluated, the most common RRT coded diagnoses were hypotension (n=625), respiratory failure (n=507), arrhythmias (n=452), altered level of consciousness (n=243), syncope (n=132), seizure (n=100), bleeding (n=88), chest pain (n=32), fall (n=29), hypertension (n=11), and hypoglycemia (n=10). There were 728 critical escalations (30%). Critical escalation rates differed by diagnosis (p3 per day) with approximately 1 critical escalation per day. In our large, contemporary cohort, we found significant differences in rates of escalation based on diagnosis, which can be further refined by inclusion of clinical metrics. Given ICU congestion, these results could facilitate the development of prediction models to facilitate earlier intervention in high-risk events.

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Cite This Study

Gupta et al. (2026) studied this question.

synapsesocial.com/papers/69c4cdb6fdc3bde44891a618https://doi.org/10.1097/01.ccm.0001188348.68338.bb
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