Rapid response teams (RRT) emerged in 1990 with the goals of improving the identification
of ward patients with clinical deterioration and offering, based on this identification,
early intervention.( An RRT is activated according to previously defined
triggers, traditionally vital signs, by themselves or as part of aggregated scores,
other clinical changes, such as seizures, or even by a subjective criterion of concern
about a patient. Once activated, the RRT evaluates the patient within five minutes,
preferably, and defines the required procedures, such as fluid administration,
antibiotic initiation, ventilatory support, and transfer to the intensive care unit
(ICU). The presence of RRT in hospitals has been strongly suggested by organizations
such as the Joint Commission and Institute for Healthcare Improvement.(
This suggestion is based on the possible benefit of providing early critical care to
patients with deterioration, combined with evidence from "before and after" studies of
cardiac arrest reduction.( With the wide spread of rapid response
systems, a constant increase has been observed in publications related to multiple
elements of this model.( Recently,
other potential benefits, in addition to strategies to improve the performance of RRT,
have been described.In this edition of the Revista Brasileira de Terapia Intensiva,
Mezzaroba et al. present a retrospective cohort study on the implementation of RRTs led
by intensivists in university hospitals.( Although the RRT performance in this study has been restricted to
12 daytime hours, the initiative has produced the following quality criteria:( the "dose" delivered by the RRT was 102
calls per 1,000 admissions in the first year, with a median of two minutes for the
arrival of the RRT at the bedside. Even with the decline in the number of calls in the
following years, the "dose" was still well above the recommended minimum rate (25 per
1,000).( Although the authors
highlight the risk factors for hospital mortality, the performance characteristics of
the RRT itself are the most relevant data. The subjective criteria of concern about the
patient was the main trigger used to activate the RRT, reinforcing its importance in
increasing the low sensitivity of objective criteria.( In
addition, the RRT had, among its responsibilities, to visit critical patients who
remained in the ward daily. This is consistent with broader RRT activity, which has been
suggested to include, for example, proactive visits and follow-up of patients discharged
from the ICU.( The retrospective design and the decrease in the
number of calls are possible limitations of this study. The authors describe that the
decrease in calls may be due to the implementation of daily visits; however, it is very
likely that professional and/or cultural barriers have contributed.Among the new perspectives of rapid response systems is the suggestion of using
unexpected death as an outcome to evaluate the effectiveness of RRT.( Unexpected death is defined as death without prior definition of
treatment limitation. Patients with incurable diseases and/or in terminal stages are
often in wards, usually under end of life palliative care. The performance evaluation of
an RRT in preventing death or cardiac arrest should not include these patients.
Therefore, unexpected hospital mortality seems to be a more appropriate outcome. The
effect of the introduction of an RRT is more pronounced when this outcome replaces
general hospital mortality.(Another unexpected benefit that is often reported is the participation of RRT in end of
life care.( The activation an RRT
is potentially a sentinel event for the recognition of end-of-life patients, resulting
in subsequent enhancement of the discussion about adoption of unique palliative
care.( Several studies have demonstrated an increase in "do
not resuscitate" requests and better documentation of comfort measures after the
introduction of RRTs in the hospital.( In 7 to 14% of RRT
calls, a new definition of treatment limitation is initiated during or after the
service.( These findings exhibit the failure of identification
of these patients in the ward.( RRT
have been shown to be an alternative for better identification and handling of these
patients.(The use of electronic algorithms that generate risk stratification in real time is
another breakthrough that has been gaining prominence.( These
algorithms use electronic medical data, such as vital signs and laboratory and
demographic data (for example, age and prior hospitalization in the ICU), to generate a
direct electronic alert to RRT, without the need for calls. In addition, the algorithm
is recalculated in real time for each new laboratory variable or registered vital
sign.( This advance may represent a solution to one of the
most substantial barriers to successful deployment of RRT - call delays.( Taking into account the increased
mortality associated with call delays,( it is possible that
earlier notification could enable better outcomes in patients assisted by RRT. In
addition to electronic algorithms, continuous monitoring systems with contact-free
sensors have been tested to enhance acquisition of vital signs with promising
results.(The premise of the rapid response system is to offer care, by expert professionals, to
critical patients anywhere in the hospital. The RRT, implemented based on patient's
needs, without the usual geographical area restriction, has allowed specialists to leave
the four walls of the ICU. Critical illness does not start when the patient enters the
ICU, nor does it end when the patient is discharged from the ICU.( This idea of continuum critical care
guides the activity of RRT and reinforces the importance of leaving the confinement of
the ICU. The discussion about the need for hospitals to adopt this security strategy
focused on the patient seems to be over. Our challenge is qualifying this
performance.
Authors: Boris Jung; Aurelien Daurat; Audrey De Jong; Gerald Chanques; Martin Mahul; Marion Monnin; Nicolas Molinari; Samir Jaber Journal: Intensive Care Med Date: 2016-02-22 Impact factor: 17.440
Authors: Robert L Smith; Vivian N Hayashi; Young Im Lee; Leonila Navarro-Mariazeta; Kevin Felner Journal: Crit Care Med Date: 2014-02 Impact factor: 7.598
Authors: Michael J Taylor; Chris McNicholas; Chris Nicolay; Ara Darzi; Derek Bell; Julie E Reed Journal: BMJ Qual Saf Date: 2013-09-11 Impact factor: 7.035
Authors: Anja H Brunsveld-Reinders; Jeroen Ludikhuize; Marcel G W Dijkgraaf; M Sesmu Arbous; Evert de Jonge Journal: Crit Care Date: 2016-06-02 Impact factor: 9.097