Acute Coronary Syndrome Clinical Trial
Official title:
Randomized, Controlled Trial for the Use of Pretest Probability to Reduce Unnecessary Testing for Low-Risk Patients With Chest Pain
The purpose of this study is to evaluate if the implementation of quantitative pretest
probability assessment will significantly reduce the unnecessary use of the intra-emergency
department chest pain center. Specifically, the study will examine whether the PREtest
Consult acute coronary syndrome (ACS) pretest probability assessment system can significantly
reduce the use of chest pain unit evaluation in very low risk emergency department (ED)
patients, can safely discharge patients with a pretest probability ≤ 2.0%, can reduce
unnecessary procedures and lower hospital costs and will examine patient satisfaction of
patients with whom pretest probability assessment was used compared to those with whom it was
not used.
The researchers hypothesize that patients in the control group of the study will have
statistically significant reductions in mean time spent in the emergency department, mean
charges billed to the patient or their insurance carrier, hospital length of stay, mean
number of procedures or tests performed without a statistically significant change in patient
satisfaction or adverse outcome.
Chest pain represents the second most frequent complaint among the 110 million persons who
visit emergency departments in the U.S. each year. Perceived medicolegal risk compels
emergency physicians to overtest for possible acute coronary syndrome (ACS), contributing to
more than $20 billion in unnecessary diagnostic testing each year. The hypothesis of the
present work states that quantitative pretest probability assessment can significantly and
safely increase the proportion of very low risk patients with symptoms of ACS who are
discharged from one emergency department. Quantitative pretest probability will be assessed
with the validated, commercially available PREtest Consult ACS software device, which employs
computer assisted, attribute matching. This method matches an 8-component clinical profile
from any individual patient to the same profile shared by patients who were previously
evaluated for ACS and whose profiles are stored in a 14,800 patient reference database.
Pretest probability estimates ≤ 2% will be considered "test negative." A phase II multicenter
study found that when the ACS PREtest Consult produced a pretest probability of ACS ≤ 2.0%
that the actual outcome of ACS at 45 days was 0.3% (95% CI 0 to 1.8%) compared with 0.4% (0
to 0.9%) for patients discharged after negative testing in a chest pain unit (CPU) that
included serial biomarkers, overnight monitoring, and cardiologist-interpreted provocative
testing. Over one-quarter of all patients referred to the CPU had an estimate ≤ 2%. The
present study will randomize 400 ED patients with a non-diagnostic or normal ECG and a
troponin test ordered into two groups:
1. a "show me", or disclosure group, in which patients and their clinicians will receive
the output of the device, and
2. a "no show" or concealed group will receive no output.
The sample size will detect an 11.5% difference in rate of discharge between groups with α =
0.05 and β = 0.20. All discharged patients will undergo structured telephone and medical
record follow-up at 7 and 45 days using validated methodology.
Primary outcome measures will evaluate the development of acute coronary syndrome.
Secondary variables will include:
1. Frequency of ACS, determined by blinded adjudicated review of follow-up data,
2. Rate of return to any ED for similar symptoms,
3. Patient satisfaction,
4. Charges.
Project significance includes the potential to reduce patient exposure to unnecessary
invasive procedures and to save Medicare and other insurers over $100 million in unnecessary
diagnostic testing each year in the U.S.
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