OBJECTIVE: To describe the epidemiological data of the clinical instability events in patients attended to by the rapid response team and to identify prognostic factors. METHODS: This was a longitudinal study, performed from January to July 2010, with an adult inpatient population in a hospital environment. The data collected regarding the code yellow service included the criteria of the clinical instability, the drug and non-drug therapies administered and the activities and procedures performed. The outcomes evaluated were the need for intensive care unit admission and the hospital mortality rates. A level of p=0.05 was considered to be significant. RESULTS: A total of 150 code yellow events that occurred in 104 patients were evaluated. The most common causes were related to acute respiratory insufficiency with hypoxia or a change in the respiratory rate and a concern of the team about the patient's clinical condition. It was necessary to request a transfer to the intensive care unit in 80 of the 150 cases (53.3%). It was necessary to perform 42 procedures. The most frequent procedures were orotracheal intubation and the insertion of a central venous catheter. The patients who were in critical condition and had to wait for an intensive care unit bed had a higher risk of death compared to the other patients (hazard ratio: 3.12; 95% CI: 1.80-5.40; p<0.001). CONCLUSIONS: There are patients in critical condition that require expert intensive care in the regular ward unit hospital beds. The events that most frequently led to the code yellow activation were related to hemodynamic and respiratory support. The interventions performed indicate the need for a physician on the team. The situation of pent-up demand is associated with a higher mortality rate.
OBJECTIVE: To describe the epidemiological data of the clinical instability events in patients attended to by the rapid response team and to identify prognostic factors. METHODS: This was a longitudinal study, performed from January to July 2010, with an adult inpatient population in a hospital environment. The data collected regarding the code yellow service included the criteria of the clinical instability, the drug and non-drug therapies administered and the activities and procedures performed. The outcomes evaluated were the need for intensive care unit admission and the hospital mortality rates. A level of p=0.05 was considered to be significant. RESULTS: A total of 150 code yellow events that occurred in 104 patients were evaluated. The most common causes were related to acute respiratory insufficiency with hypoxia or a change in the respiratory rate and a concern of the team about the patient's clinical condition. It was necessary to request a transfer to the intensive care unit in 80 of the 150 cases (53.3%). It was necessary to perform 42 procedures. The most frequent procedures were orotracheal intubation and the insertion of a central venous catheter. The patients who were in critical condition and had to wait for an intensive care unit bed had a higher risk of death compared to the other patients (hazard ratio: 3.12; 95% CI: 1.80-5.40; p<0.001). CONCLUSIONS: There are patients in critical condition that require expert intensive care in the regular ward unit hospital beds. The events that most frequently led to the code yellow activation were related to hemodynamic and respiratory support. The interventions performed indicate the need for a physician on the team. The situation of pent-up demand is associated with a higher mortality rate.
Hospitalized patients may present conditions of clinical deterioration in hospital units
in which the team is not prepared to manage emergencies. Unexpected cardiac arrest in
hospitalized patients is frequently preceded by signs of clinical
deterioration.( In situations of clinical instability such as these,
early detection and intervention provide opportunities to prevent cardiac arrest and
increase safety for inpatients. Such clinical signs are also known as "code yellow" and
activate an urgent management call by professionals who work in the urgent care and
emergency units. Studies in pioneering countries that can count on rapid response teams
(RRTs), such as England and Australia, have shown that the early identification of the
signs of clinical instability and the work of RRTs in the management of unstable
patients may lead to a decreased number of both cardiac arrests and unanticipated
transfers to intensive care units (ICUs), thereby decreasing inpatient
mortality.(RRTs are typically multidisciplinary and consist of medical, nursing and physical
therapy professionals. They are responsible for the timely evaluation, screening and
treatment of patients with signs of clinical deterioration outside the ICU environment.
RRT members have autonomy, independent of the assistant physician responsible for
patient hospitalization, to request urgent investigative diagnostic tests, prescribe
drug and non-drug treatments, recommend intensive care and discuss palliative
care.(RRT development has grown along with the increased interest in improving the quality of
care and safety for inpatients.( To
improve the quality of hospitalization systems, a review of the safety mechanisms is
essential to identifying opportunities for preventing potentially fatal events and for
improving the response to critical situations. The system as a whole requires
epidemiological evaluation and administrative management to oversee and support the
urgent care and emergency management systems.The objective of this study was to describe the epidemiological data from clinical
instability events (code yellows) in the adult inpatient units at a university hospital
and to identify prognostic factors.
METHODS
This was an observational, longitudinal and prospective study performed at the
Hospital Universitário da Universidade Estadual de Londrina
(HU/UEL), Brazil. The data were collected from January to June 2010. This study
was approved by the local Ethics Committee (opinion letter # 208/08) with a waiver for
the Free and Informed Consent process. The HU/UEL is a supplementary unit and is a
large-sized public university hospital with 333 beds, which serves the city of Londrina
and the neighboring region. The studied population consisted of adult patients admitted
to the inpatient units (female and male units) at the HU/UEL who had a clinical
instability condition (code yellow). We used convenience sampling, which consisted of
all of the adult patients with a clinical instability condition who were attended to by
the HU/UEL RRT during the study. The patients who had incomplete data were not included
and were deemed as data losses.The HU/UEL RRT consists of one intensive care physician and one physical therapist who
answer code yellow or code blue events (cardiac arrest management) in the adult ward
unit. The HU/UEL RRT activities began in March 2009 and, due to a restriction in human
resources, the team works 12 hours a day (from 7 am to 7 pm), 7 days a week. During the
nighttime, the staff on duty at the hospital emergency unit manages code events.The general data collected were gender, age, the date of hospital admission, the type of
admission, the hospitalization unit, the date of discharge and the outcome at discharge.
The data collected regarding the clinical instability event (code yellow) were the heart
and respiratory rates, body temperature, blood pressure, the peripheral oxygen
saturation, the need for oxygen therapy, capillary blood glucose and a neurological
assessment according to the level of consciousness or Glasgow coma scale. The data
collected regarding the clinical instability (code yellow) management were the specific
clinical instability criteria, the drug and non-drug therapies administered, the
activities of personnel and the procedures performed, the immediate clinical development
and the need for admission to an ICU. The data regarding the time of service were
recorded during a code yellow event. The time of the code yellow activation was
considered to be the period between the onset of the clinical instability signs and
symptoms and the call for the code event. The time of arrival for attending to the code
event was considered to be the time between the call of the code and the arrival of the
team to begin management of the event. The time of service was the time between the
arrival of the team and the conclusion of the code service.The sources of the data collection were patient records and the hospital electronic
database. The patients were followed up until a final outcome of either hospital
discharge or death.
Statistical analysis
Continuous variables were presented as the mean and standard deviation (in the case
of a Gaussian distribution) or as the median and interquartile ranges (for a
non-Gaussian distribution). Categorical variables were presented as proportions.
Descriptive statistics were used to present all of the relevant variables. The data
were presented in charts and tables. A Student's t test or, when the
distribution was not Gaussian, a non-parametric equivalent (Mann-Whitney) was used to
compare continuous variables. The categorical variables were compared with Pearson's
chi-square test with Yates' continuity correction. The survival analysis was
performed with Kaplan-Meyer curves and the comparison of two curves by the log-rank
test. The level of significance was 5%, and the analyses were performed using the
software Epi-Info 3.3.2. (CDC, USA) and MedCalc for Windows, version 9.3.2.0 (MedCalc
Software, Mariakerke, Belgium).
RESULTS
During the study, 150 code yellow events that occurred with 104 patients were evaluated.
Seventy-six patients required a single code yellow management; 18 patients had 2 events,
and 10 patients had 3 or more code yellow events. The patients were 61.2±18.6 years old,
on average, and 52 (50%) were male.The diagnoses that led to hospital admission among the patients who had code yellow
events were various, and the most frequent were sepsis (20.6%), cancer (13.7%), cerebral
vascular accident (9.9%), trauma (9.2%), chronic peripheral artery disease (7.6%),
amyotrophic lateral sclerosis (3.8%), cirrhosis (3.1%), chronic obstructive pulmonary
disease (3.1%), congestive heart failure (3.1%) and other (25.9%).Considering the 150 events during the study, the time for the code yellow activation
after the onset of clinical instability was an average of 3.8±5.4 minutes. The average
time for the RRT arrival after the call was 2.2±1.8 minutes, with a minimum of 1 minute
and a maximum of 10 minutes. The average time of the code yellow service by the RRT was
43.4±48.0 minutes, with a minimum of 1 minute and a maximum of 282 minutes. The months
that had the higher number of code yellow events during the study were January and March
(with 22% and 20.7%, respectively), and April had the lowest number of calls (8.7%). The
causes for the code yellow activation were evaluated, and the most frequent causes were
related to acute respiratory insufficiency with hypoxia or a change in respiratory rate,
in addition to a concern of the team about the patient's clinical condition (Table 1).
Table 1
Causes that led to code yellow activation
N
Cause
%
1
Increased concern for the patient’s overall condition
38
2
Acute decrease of O2 saturation to <90%
28.7
3
Decrease of systolic blood pressure to <90 mm Hg
23.3
4
Change in respiratory rate to <10 rpm or >30 rpm
22.7
5
Decrease in consciousness level
20
6
Change in heart rate to <45 bpm or >125 bpm
18
7
Convulsion
8
8
Increase in systolic blood pressure to >180 mm Hg
4.7
Causes that led to code yellow activationThe activities performed by the RRT professionals during the code yellow events were
separated into activities, procedures and therapy. The most frequent activities during
the events were diagnostic investigation (55.6%), respiratory support or the adjustment
of mechanical ventilation by respiratory physical therapists (14.5%), hemodynamic
monitoring (6.0%) and the request for a specialist consult (5.1%), among others. During
the 150 code yellow events, it was necessary to perform 42 procedures. The most frequent
procedures were orotracheal intubation (17 of 42), central venous catheter insertion (15
of 42) and tracheal aspiration (7 of 42), in addition to a paracentesis, a vesical probe
insertion and a nasogastric tube. The most frequent therapies used during the code
yellow event management were vasoactive drugs, antimicrobials, a crystalloid solution
for volume replacement, analgesic drugs, oxygen therapy, sedatives and others ( Table 2).
Table 2
Most frequently used medications during code yellow management
Medication
Frequency
%
Vasoactive drugs
29
19.2
Antimicrobials
27
17.9
Crystalloid solution
23
15.3
Analgesia
13
8.6
Oxygen therapy
11
7.3
Sedation
10
6.6
Bronchodilators
9
6.0
Diuretic drugs
7
4.7
Anticonvulsants
6
4.0
Antiarrhythmics
5
3.3
Hypertonic glucose
5
3.3
Anti-hypertensive drugs
2
1.3
Antiplatelet drugs
2
1.3
Insulin
1
0.6
Mucolytic drugs
1
0.6
Total
151
100.0
Most frequently used medications during code yellow managementFrom the 150 events, 80 (53.3%) patients required transfer to ICU-monitored beds. From
the 104 patients seen during the study, the RRT was called to attend to 9patients with
non-resuscitation instructions and the recommendation for palliative care. Of these 9
patients, 8 died during hospitalization and 1 was discharged with home palliative
care.The hospital mortality rate of patients who had code yellow events during
hospitalization was 59 out of 104 (56.7%). However, after excluding the patients who
underwent palliative care, the hospital mortality rate after a code yellow event was 51
out of 95 (53.7%). The overall hospital mortality rate was 4.3% during the same period,
and the rate of ICU bed occupation was 97.9%.When the 95 patients attended to by the RRT were analyzed, excluding the patients in
palliative care, 45 (47.4%) required transfers to the ICU with a monitored bed and
waited for its availability in a situation of pent-up demand at some point during
hospitalization. The patients who needed transfers to the ICU and were on pent-up demand
had a higher chance of death when compared to the other code yellowpatients [hazard
ratio: 3.12; 95% Confidence Interval (CI): 1.80-5.40; p<0.001] (Figure 1). Among the 45 patients on pent-up demand, the ones who
were later transferred to the ICU (85.7%) had the same mortality rate as those who
needed an ICU transfer but had no access to it (87.5%; p=0.59).
Figure 1
Survival analysis comparing code yellow patients in a scenario of pentup demand
with other patients. PD - pent-up demand; log-rank test: p<0.001.
Survival analysis comparing code yellowpatients in a scenario of pentup demand
with other patients. PD - pent-up demand; log-rank test: p<0.001.
DISCUSSION
This study demonstrated that the activation of code yellow was frequent in the
institution. Most of the patients attended to by the RRT were at a risk of death. These
patients required specialized therapeutic interventions and had high mortality rates.
These findings may have great potential in the strategic planning and risk management of
an institution regarding the safety and the quality of care of inpatients.The RRT performed well regarding the time goals. In a prospective study describing an
RRT that attended to surgical inpatients, Bellomo et al.( reported an average time for the RRT arrival of 1.7±2.6
minutes and an average time of service duration of 40±39 minutes. The findings of the
present study are consistent with the reported data, but the great variation in the time
of service in the present study reflects the delay in transferring the patients to a
monitored ICU bed.Respiratory insufficiency and hemodynamic instability, in addition to the team's concern
for the patient's overall condition, were the reasons for most of the code yellow
activations. The criteria adopted for code yellow calls in the present study are similar
to those recommended to prevent cardiac arrests in other regular units of the
hospital.(The causes of the code yellow calls identified patients in critical conditions who had
several physiological abnormalities. In many cases, these patients were already being
attended to in hospital ward units with intensive monitoring, which indicates that the
outpatient unit teams already recognized the patient as critically ill. After the code
yellow management, if there was a recommendation for an ICU transfer, the transfer was
immediately requested. In some cases, the ICU transfer had already been requested by the
primary or substitute physician outside of the RRT working hours (i.e., during the
nighttime), thus the patient was in a situation of pent-up demand during the initial
code yellow event managed by the RRT.The ICU beds were frequently full during the study, and many patients were treated in
the adult wards while waiting for an ICU bed. These patients were routinely reassessed
by the RRT team (at least twice a day) and could be seen again at any time with a code
yellow in the case of new clinical instability.The therapeutic actions and procedures performed by the RRT can be considered as
specialized and are similar to those reported by other authors.( The activities performed by the RRT
were compatible with the reasons that led to the activation of the RRT. Decreases in
O2 saturation and changes in the respiratory rate were frequent,
indicating that acute respiratory insufficiency was a common cause for the RRT
activation. The management of these patients included a prescription for oxygen therapy,
orotracheal intubation, respiratory physical therapy, tracheal aspiration or the
adjustment of mechanical ventilation in the patients who were already undergoing this
treatment when the code yellow was activated. Hemodynamic instability was also a common
cause for the RRT activation, and the management of hemodynamic instability included
volume replacement and the use of vasoactive drugs, in addition to the insertion of a
central venous catheter for the infusion of drugs and monitoring.Several interventions performed by the RRT and described in the present study are
considered "physician activities", which justifies the inclusion of a medical doctor as
the professional leading the rapid response team at the study's institution. Many
authors describe RRTs with different compositions, which may or may not include
physicians in the team, depending on the legal ramifications and on each
institution.(Sepsis was the admission diagnosis of the patients who originated most of the code
events. Sepsis may be defined as an exaggerated response of the body to an infection
with the excessive activation of inflammatory cells that leads to the involvement of
multiple organs.( It is a disease with a high mortality and morbidity
rate that is associated with many body impairments, and the treatment of sepsis must be
implemented as early as possible to reduce mortality.( Therefore, sepsis increases the workload of the team
responsible for the patient and may cause the patient to present many events of clinical
instability and signs of deterioration, which can be identified and treated by the
RRT.The ICU at HU/UEL has 17 hospital beds, which is not enough for the immediate admission
of all of the patients who need intensive care. The mortality rate of the ICU inpatients
during the study was 35%, while the mortality rate of the patients seen by the RRT
during the same period was 56.7%. This mortality rate indicates that the patients
attended to by the RRT may be considered as critical patients, and because they are not
in the ICU, these critical patients require a multidisciplinary team of experts who are
aware of clinical instability signs and are capable of managing and reverting critical
cases in a rapid manner.The mortality rate found in the present study is high compared to others reported in the
literature.( Konrad et al.
reported that the mortality rate of patients attended to by a team of medical emergency
personnel was 15.8%.( Buist et al.
reported 40 deaths in 124 patients seen under code yellow conditions.( Bellomo et al. reported a mortality
rate of 10.6% in patients seen by a team of medical emergency personnel, excluding the
patients under palliative care.( The
implementation of an RRT has been described as an experience that results in the
decrease of cardiac arrests and hospital mortality.(Several patients in the present study were in pent-up demand, waiting for an ICU bed.
Waiting for an ICU admission was considered to increase the probability of death, even
when the patient is finally admitted.( It is possible that, with the restriction of access to ICU beds as
in this scenario, the implementation of an alert system based on the combined signs of
clinical instability, such as the Modified Early Warning System (MEWS),( may help to identify earlier the code
yellow situations and reduce mortality.The difference in the mortality rates between the critical patients waiting for an ICU
bed in pent-up demand and the other patients seen under code yellow conditions reflects
a reality and is of great concern. Although the RRT provides care to critical patients
outside of the ICU and potentially increases inpatient safety, it is possible to infer
that a rapid response system is only completely effective if there is a specialized
intensive care bed available for the immediate transfer of such patients.(There are limitations in the present study that should be taken into account. This study
was carried out in one site only, a public teaching hospital that had no beds available
in the intermediate care unit, which restricts a patient's access to specialized
intensive care, the results of the present study are not applicable to institutions with
different infrastructures and organizational characteristics. Moreover, the small number
of events analyzed and the peculiar fact that the institution's RRT does not work
fulltime may have influenced the results.
CONCLUSIONS
This study revealed that there are critical patients who need intensive specialized care
in regular ward unit hospital beds. Many of these patients were previously identified by
the assistance team as critical patients who may benefit from the services of a
specialized team.Clinical instability that was associated with the need for a rapid response team
activation was a common event in the inpatient units of the studied hospital. The events
that most frequently led to the code yellow activation were related to respiratory and
hemodynamic support. The interventions performed demonstrate the need for a physician in
the team. The pent-up demand scenario is associated with a higher mortality rate among
patients under code yellow conditions.
Authors: Paulo David Scatena Gonçales; Joyce Assis Polessi; Lital Moro Bass; Gisele de Paula Dias Santos; Paula Kiyomi Onaga Yokota; Claudia Regina Laselva; Constantino Fernandes Junior; Miguel Cendoroglo Neto; Marcus Estanislao; Vanessa Teich; Camila Sardenberg Journal: Einstein (Sao Paulo) Date: 2012 Oct-Dec
Authors: Mitchell M Levy; Mitchell P Fink; John C Marshall; Edward Abraham; Derek Angus; Deborah Cook; Jonathan Cohen; Steven M Opal; Jean-Louis Vincent; Graham Ramsay Journal: Intensive Care Med Date: 2003-03-28 Impact factor: 17.440
Authors: Rinaldo Bellomo; Donna Goldsmith; Shigehiko Uchino; Jonathan Buckmaster; Graeme Hart; Helen Opdam; William Silvester; Laurie Doolan; Geoffrey Gutteridge Journal: Crit Care Med Date: 2004-04 Impact factor: 7.598
Authors: Rinaldo Bellomo; Donna Goldsmith; Shigehiko Uchino; Jonathan Buckmaster; Graeme K Hart; Helen Opdam; William Silvester; Laurie Doolan; Geoffrey Gutteridge Journal: Med J Aust Date: 2003-09-15 Impact factor: 7.738
Authors: Ahmed Naji Balshi; Basim Mohammed Huwait; Alfateh Sayed Nasr Noor; Abdulrahman Mishaal Alharthy; Ahmed Fouad Madi; Omar Elsayed Ramadan; Abdullah Balahmar; Huda A Mhawish; Bobby Rose Marasigan; Alva Minette Alcazar; Muhammad Asim Rana; Waleed Tharwat Aletreby Journal: Rev Bras Ter Intensiva Date: 2020-07-13