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(Stroke. 2000;31:2585.)
© 2000 American Heart Association, Inc.
Original Contributions |
From the Department of Emergency Medicine, School of Medicine (D.L.M.), and the Department of Epidemiology, School of Public Health (W.R.), University of North Carolina, Chapel Hill; Marshfield, Clinic (K.M.), Marshfield, Wis; the Department of Emergency Medicine, School of Medicine (C.S.), University of Michigan, Ann Arbor; and Genentech Inc (S.H.), South San Francisco, Calif.
| Abstract |
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MethodsPatients with stroke symptoms presenting to 48 EDs participating in a clinical trial of acute stroke therapy were enrolled prospectively. A 1-page data form was completed from patient interviews and medical records.
ResultsA total of 1207 subjects were entered into the study. Ninety-four percent of the 721 subjects with complete data had a diagnosis of stroke or transient ischemic attack, 13% were black, 50% were female, and 67% were aged >65 years. The median time from symptom onset to ED arrival was 2.6 (interquartile range 1.2 to 6.3) hours. The median time from ED arrival until CT scan completion was 1.1 (0.7 to 1.8) hours, and the total delay time (symptom onset until CT scan completion) had a median of 4.0 (2.3 to 8.3) hours. Patients who arrived by emergency medical services had significantly shorter prehospital delay times and times to CT scan. Age, race, sex, and educational level did not appear to affect prehospital delay times.
ConclusionsDespite its limitations, this large geographically diverse study strongly suggests that the use of emergency medical services is an important modifiable determinant of delay time for the treatment of acute stroke.
Key Words: emergency medical services emergency service, hospital stroke onset stroke, acute tomography, x-ray computed
| Introduction |
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| Subjects and Methods |
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Definitions
Symptom Onset Time
Symptom onset time was defined as the time the patient was last
known to be without symptoms or at baseline. If the patient awoke with
symptoms, symptom onset time was defined as when the patient went to
sleep or was last known awake without symptoms.
Prehospital Delay
Prehospital delay was defined as the time from symptom onset
until the earliest documented time in the ED (usually triage or
registration).
Delay to CT Scan
Delay to CT scan was defined as the time from ED arrival (see
above) until the completion of the CT scan. This was sometimes
approximated by the return of the patient to his/her bed or bay. This
time did not necessarily include interpretation of the CT scan.
Time to Neurologist Consult
Time to neurologist consult was defined as the time from ED
arrival until arrival of the neurology consultant in the
ED.
Total Delay
Total delay was defined as the time from symptom onset to
completion of the head CT scan.
Patient Selection
Patients were eligible to participate in the present study
if they were aged
18 years and presented to the ED with signs
or symptoms of acute stroke. Patients were excluded if their symptom
onset was >24 hours. Patients were also excluded if they were
subsequently enrolled in the clinical trial of rtPA for the 3- to
5-hour window.10 (This had minimal effect, because the
majority of patients presenting in the 3- to 5-hour window were
ineligible for the clinical trial and hence eligible for the
present study.) Patients enrolled in other clinical trials or who
received rtPA outside of clinical trial were eligible for enrollment.
Investigators were limited to a total enrollment of 40 subjects at each
site to maximize geographic diversity.
Informed Consent
Each study center obtained local institutional review board
approval for the study. Some centers required written informed consent
for the survey, but most allowed undocumented verbal consent.
Analysis
Patients with missing data for symptom onset time or ED arrival
time were excluded from the main analysis. Median times were
reported primarily because the skewed distribution of the data and its
truncation made the means less descriptive. A logistic regression model
was used to help evaluate contributions of various factors associated
with delay.
| Results |
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The demographics of the subjects included in the analysis are
shown in Table 1
. Thirteen percent of the subjects were black,
50% were female, 31% did not have a high school diploma, and 37%
were enrolled at academic hospitals. Ischemic stroke was the
most common diagnosis (73%), with 13% of the patients being diagnosed
with a transient ischemic attack (TIA) and 8% with
intracerebral hemorrhage. Six percent of the
patients had diagnoses other than stroke or TIA. Twenty-two of the
patients in the study were treated with rtPA.
The median prehospital delay time in the present study was 2.6
hours, with an interquartile range of 1.2 to 6.3 hours (Table 2
). The mean prehospital delay time was
5.4 hours. The distribution of these delay times is shown in Figure 1
. Twenty-four percent of the patients
arrived within the first hour, 21% arrived within the second hour, and
a total of 56% arrived within 3 hours of symptom onset.
|
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The median time from ED arrival to CT scan was 1.1 (interquartile range
0.7 to 1.8) hours, with a mean delay time of 1.9 hours. The median
total delay time was 4.0 (interquartile range 2.3 to 8.3) hours, with a
mean total delay time of 6.8 hours. The time to neurology consult had a
median delay of 3.1 (interquartile range 1.2 to 8.2) hours. Forty-seven
percent of the patients had a total delay time of
3 hours.
To investigate the factors associated with delay, prehospital delay, CT
scan delay and total delay times are broken down by several patient
characteristics in Table 3
. Of note,
compared with black subjects, white subjects appeared to have longer
prehospital delays but shorter delays to CT scan. Patients arriving by
emergency medical services (EMS) had almost half the prehospital delay
and three fourths of the delay to CT scan than did patients arriving at
the ED by other means.
|
Patients alone at symptom onset had a median prehospital delay of 3.6 hours compared with 2.1 hours for those who were not alone. As expected from the definition of symptom onset time, those who awoke with symptoms had longer prehospital delays. Those patients with an elevated diastolic blood pressure on ED arrival and those patients at an academic institution also appeared to have longer prehospital delays. No obvious geographic trends were noted (north/south), but this was not examined in detail.
Because some of the factors studied were interrelated, a logistic model
based on categorization of prehospital delay <2 hours and CT scan
delay <1 hour was used to further define factors important in delay.
Only 4 factors (race, sex, arrival by EMS, and awakening with symptoms)
contributed substantially to the model. These are shown in Table 4
. Compared with those arriving by other
means, those arriving by EMS were almost twice as likely to arrive at
the ED in <2 hours. They were also 1.6 times as likely to get their CT
scans in <1 hour. Those patients awakening with symptoms were a third
as likely to arrive at the ED in <2 hours as opposed to those who did
not awake with symptoms. None of the other factors had statistically
significant relationships with delay time in this
multivariate model.
|
The relationship between EMS use and delay is further described in
Figure 2
, in which the percentages of
patients arriving at the ED in <2 hours and having their CT scans in
<1 hour are displayed by whether they arrived by EMS. Fifty-one
percent of the patients arriving by EMS had prehospital delays <2
hours; 33% of those not arriving by EMS had prehospital delays <2
hours. Those arriving by EMS also had significantly shorter times to CT
scan.
|
| Discussion |
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Although several factors have been associated with shorter prehospital delay times,5 8 11 only arrival by EMS and awakening with symptoms were significantly related to prehospital delay in the present study. The median prehospital delay time for those patients arriving by ambulance was 1.9 hours shorter than those who arrived by other means. Clearly, this time differential represents much more than time saved in the actual transport. Rather, use of EMS likely prevents delays such as waiting for another family member, waiting for a ride, or waiting for a physician to call back.
Delay from ED arrival to CT scan was chosen as a relatively easily measurable point in the treatment pathway for rtPA. Although additional steps after completion of the CT scan (interpretation, physician consultation, and consent) may clearly need to be undertaken, getting the scan itself has been reported as a major obstacle.12 In the present study, the median time to CT scan completion was 1.1 hours. This is clearly above the 25 minutes to initiation of the CT scan and 45 minutes to interpretation of the CT scan, which have been set as a standard by a National Institute of Neurological Disorders and Stroke advisory committee.13
Median time to CT scan was also shorter for those patients arriving by EMS (1.0 versus 1.3 hours). This phenomenon has been cited in other studies.12 14 15 16 It may be that these patients have more severe strokes than those not arriving by EMS. What is likely more important is that these patients avoid triage, registration, and waiting for a room or bed. The physician may also perceive that these patients need to be seen sooner simply because they arrived by ambulance. In some centers, EMS may also alert the ED before arrival and allow the ED staff to prepare for the arrival and treatment of the patients.
Study Limitations
The large number of subjects excluded because of missing data are
clearly a potential problem in interpreting the results of the
present study. It is reassuring, as shown in Table 1
, that
the characteristics of those patients who were excluded are very
similar to the characteristics of those patients who were included in
the study. Another concern is that all of the EDs were involved in at
least one clinical trial of acute stroke treatment. This may have
altered their approach to stroke patients, and there may have been
efforts within the communities to attract stroke patients and reduce
delay time. Whereas this might affect the median times noted, it would
likely not alter factors affecting delay.
Stroke severity was not measured in the present study; clearly,
this may influence both prehospital delay times and time to CT scan. It
is likely that greater proportions of the severe patients were
transported by ambulance and would likely be seen sooner within the ED.
However, the absolute number of severe patients is likely to be small.
In another study of stroke delay, almost 95% of the patients
presenting had Glasgow coma scales of
14.7
Conclusions
The present study offered an opportunity to examine
prehospital and ED delays in a large and geographically diverse group
of patients. As in other studies, a majority of patients would not
arrive at the ED early enough to diagnose and treat acute stroke with
rtPA or other therapies requiring a short time window. It also
confirms, in a geographically diverse population with many different
EMS systems, that arrival by ambulance is associated with markedly
shorter prehospital and ED delay times. Because EMS use by stroke
patients is a potentially modifiable behavior,17 efforts
in this direction may be the most direct way to increase the number of
patients eligible for acute stroke therapies. Intervention programs,
which emphasize stroke recognition and appropriate response (calling
911), should be developed and critically evaluated.
| Acknowledgments |
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| Footnotes |
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Drs Morris and Rosamond have been consultants to Genentech, Inc, in the past but have no current conflict of interest. Dr Hamilton is employed by Genentech, Inc.
| Appendix 1 |
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Received June 8, 2000; revision received June 8, 2000; accepted July 14, 2000.
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