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MDCT in early triage of patients with acute chest pain
Udo Hoffmann1, Antonio J Pena, Fabian Moselewski
1Department of Radiology, Massachusetts General Hospital Cardiac MR CT PET Program and Harvard Medical School, 100 CPZ 400, Boston, MA 02114, USA. uhoffman@partners.org
Insights
Multidetector-row computed tomography (MDCT) can accurately detect coronary artery stenosis in patients with chest pain. This imaging technique shows potential for reducing unnecessary hospital admissions while ensuring appropriate care for acute coronary syndrome (ACS).
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Current risk stratification for acute chest pain with normal initial cardiac enzymes and nondiagnostic ECG is inefficient.
- Accurate and early triage is crucial for patients presenting with acute chest pain to rule out acute coronary syndrome (ACS).
Purpose of the Study:
- To determine the feasibility of contrast-enhanced multidetector-row computed tomography (MDCT) for detecting coronary artery stenosis.
- To evaluate if MDCT improves early and accurate triage of patients with acute chest pain.
Main Methods:
- 40 patients with chest pain, normal cardiac enzymes, and nondiagnostic ECG underwent contrast-enhanced MDCT.
- MDCT images were assessed for significant coronary artery stenosis (>50% diameter reduction).
- Physicians were blinded to MDCT results; ACS diagnosis was determined by an expert panel using AHA guidelines.
Main Results:
- MDCT demonstrated 100% sensitivity in detecting significant coronary stenosis in the five patients diagnosed with ACS.
- MDCT excluded significant stenosis in 26 of 35 patients without ACS (74% specificity).
- MDCT has the potential to prevent 70% of unnecessary hospital admissions.
Conclusions:
- Contrast-enhanced MDCT is a feasible tool for detecting significant coronary stenoses in patients with acute chest pain and nondiagnostic initial tests.
- MDCT can significantly decrease unnecessary hospital admissions without compromising the appropriate admission rate for ACS.
- Advancements in MDCT technology are expected to further enhance its utility in managing patients with acute chest pain.
Objective:
Current risk stratification of patients with acute chest pain but normal initial cardiac enzymes and nondiagnostic ECG is inefficient. We sought to determine whether contrast-enhanced MDCT-based detection of stenosis is feasible and improves early and accurate triage of patients with acute chest pain.
Subjects And Methods:
We studied 40 patients (53% men; mean age, 57 +/- 13 years) with chest pain who were awaiting hospital admission to rule out an acute coronary syndrome (ACS) despite the absence of diagnostic ECG changes and normal cardiac enzymes on emergency department presentation. Patients underwent contrast-enhanced MDCT before hospital admission. Afterward, patients received standard clinical care. All physicians involved in the patients' care were blinded to the results of MDCT. An expert panel established the presence or absence of ACS based on American Heart Association (AHA) guidelines. The MDCT images were evaluated for the presence of significant coronary artery stenosis (diameter reduction > 50%) and were used to make a triage decision.
Results:
All five patients (12.5%) with ACS (one with non-ST elevation myocardial infarction, four with unstable angina pectoris) had at least one significant coronary stenosis on MDCT (sensitivity, 100% [95% CI, 49-100%)]. ACS was ruled out in 35 patients (87.5%). Significant coronary stenosis was excluded in 26 of the 35 patients without ACS by MDCT (specificity, 74% [CI, 75-88%]), potentially saving 70% of unnecessary hospital admissions.
Conclusion:
MDCT-based detection of significant coronary stenoses has tremendous potential to decrease the number of unnecessary hospital admissions, without reducing appropriate admission rates, in patients with chest pain who have nondiagnostic ECG results and normal cardiac enzymes. These results are likely to further improve with advances in MDCT technology.
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Assessment:
1. Clinical Evaluation:
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