Abstract 128: A Precision Medicine Test Accurately Rules Out Obstructive Coronary Artery Disease Among Non-Diabetic Patients Presenting to Emergency Department With Acute Chest Pain

Author(s):  
Khurram Nasir ◽  
Shozab S Ali ◽  
Anshul Saxena ◽  
Gowtham Grandhi ◽  
Usman Siddiqui ◽  
...  

Background: An age, sex, and blood gene expression score (ASGES) has been previously validated to detect obstructive coronary artery disease (CAD) in non-diabetic patients presenting with stable chest pain in the outpatient setting. However, the diagnostic performance of this test in ruling out obstructive CAD in patients presenting with acute chest pain (ACP) to the emergency department (ED) is unknown. Methods: In an ongoing study, 371 low-intermediate risk patients with ACP and no prior history of CAD (TIMI risk score ≤ 2, negative troponins and normal/non-diagnostic ECG) underwent coronary CT angiography (CCTA) using institutional protocols. Patients were classified based on severity of stenosis (obstructive CAD, >50%; high grade stenosis, >70%) and ASGES. The ASGES blood test sample was drawn before ED discharge and analyzed in a commercial reference laboratory (Redwood City, CA). We excluded 23 (6%) patients with unreportable ASGES and 47 (13%) diabetics from this primary analysis. Results: 301 (53±10 years, 45% males, 78% Hispanics) non-diabetic ACP patients undergoing CCTA in an ED setting were included in this analysis. No plaque was detected in 183 (60%) patients, and 22 (7%) patients had obstructive CAD. In this population, 51% of patients had scores below the previously defined threshold of ASGES≤ 15. This threshold yielded sensitivity, specificity, NPV, and PPV of 71% (52-86%), 53% (47-59%), 97% (93-98%), and 12% (9-14%) for obstructive CAD. Furthermore, ASGES≤15 yielded a 100% sensitivity and NPV for patients with high grade stenosis (n=7, 2%). In a multivariable analysis including patient demographics and clinical covariates, ASGES ≤15 was significantly associated with obstructive CAD (OR: 0.15, 95% CI: 0.04-0.62). As a continuous variable, increasing ASGES was positively correlated with the presence of obstructive CAD and CCTA-defined plaque burden (p<0.0001). Conclusions: This is the first study validating the use of this blood-based precision medicine test to rule out obstructive CAD among low-intermediate risk non-diabetic patients presenting with ACP in ED setting. 30-day follow-up is underway to evaluate the prognostic implications of these findings.

Author(s):  
Gowtham R. Grandhi ◽  
Reed Mszar ◽  
Miguel Cainzos-Achirica ◽  
Tanuja Rajan ◽  
Muhammad A. Latif ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251040
Author(s):  
Johannes H. Riffel ◽  
Deborah Siry ◽  
Janek Salatzki ◽  
Florian Andre ◽  
Marco Ochs ◽  
...  

Background Cardiovascular magnetic resonance (CMR) is the current reference standard for the quantitative assessment of ventricular function. Fast Strain-ENCoded (fSENC)-CMR imaging allows for the assessment of myocardial deformation within a single heartbeat. The aim of this pilot study was to identify obstructive coronary artery disease (oCAD) with fSENC-CMR in patients presenting with new onset of chest pain. Methods and results In 108 patients presenting with acute chest pain, we performed fSENC-CMR after initial clinical assessment in the emergency department. The final clinical diagnosis, for which cardiology-trained physicians used clinical information, serial high-sensitive Troponin T (hscTnT) values and—if necessary—further diagnostic tests, served as the standard of truth. oCAD was defined as flow-limiting CAD as confirmed by coronary angiography with typical angina or hscTnT dynamics. Diagnoses were divided into three groups: 0: non-cardiac, 1: oCAD, 2: cardiac, non-oCAD. The visual analysis of fSENC bull´s eye maps (blinded to final diagnosis) resulted in a sensitivity of 82% and specificity of 87%, as well as a negative predictive value of 96% for identification of oCAD. Both, global circumferential strain (GCS) and global longitudinal strain (GLS) accurately identified oCAD (area under the curve/AUC: GCS 0.867; GLS 0.874; p<0.0001 for both), outperforming ECG, hscTnT dynamics and EF. Furthermore, the fSENC analysis on a segmental basis revealed that the number of segments with impaired strain was significantly associated with the patient´s final diagnosis (p<0.05 for all comparisons). Conclusion In patients with acute chest pain, myocardial strain imaging with fSENC-CMR may serve as a fast and accurate diagnostic tool for ruling out obstructive coronary artery disease.


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