scholarly journals Role of Quantitative Wall Motion Analysis in Patients with Acute Chest Pain at Emergency Department

2017 ◽  
Vol 25 (1) ◽  
pp. 20 ◽  
Author(s):  
Kyung-Hee Kim ◽  
Sang-Hoon Na ◽  
Jin-Sik Park
2016 ◽  
Vol 10 (1) ◽  
pp. 205-211
Author(s):  
Firas Yassin ◽  
Chris Sawh ◽  
Pankaj Garg

There is increasing role of computed tomographic (CT) in the assessment of acute chest pain in the emergency department especially when the diagnosis is not clear. We report a case where non ECG gated contrast enhanced CT in the emergency department for rule-out of pulmonary embolus guided to the actual diagnosis, which was, acute coronary event, as evidenced by the presence of perfusion defect.


Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 266
Author(s):  
Min Ji Son ◽  
Seung Min Yoo ◽  
Dongjun Lee ◽  
Hwa Yeon Lee ◽  
In Sup Song ◽  
...  

This review article provides an overview regarding the role of computed tomography (CT) in the evaluation of acute chest pain (ACP) in the emergency department (ED), focusing on characteristic CT findings.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A Roggel ◽  
S Hendricks ◽  
I Dykun ◽  
B Balcer ◽  
F Al-Rashid ◽  
...  

Abstract Background Current ESC guidelines for non-ST-segment elevation myocardial infarction suggest the utilization of echocardiography in patients with inconclusive initial electrocardiography and cardiac enzymes. Besides detection of alternative pathologies associated with chest pain, echocardiography can screen for wall motion abnormalities (WMA) as sign of myocardial necrosis. Purpose We evaluated the ability of the assessment of regional WMA, detected via transthoracic echocardiography, to predict the presence of culprit lesions in patients presenting with acute chest pain to the emergency department. Methods In this prospective single-centre observational cohort study, we included consecutive patients presenting to the emergency department of our University Hospital with acute chest pain, suggestive of an acute coronary syndrome, between December 2018 and August 2020. Patients with ST-elevation myocardial infarction, hemodynamic instability, or known coronary artery disease were excluded. As part of initial workup, patients received bedside echocardiography for the assessment of regional WMA by a dedicated study physician, blinded to all patients' characteristics. The primary endpoint was defined as the presence of culprit lesions as detected in subsequent invasive coronary angiography, requiring coronary revascularization therapy. Logistic regression analysis was performed in different models adjusted for traditional cardiovascular risk factors, cardiac biomarkers as well as established risk scores. Area under the receiver operating characteristics curve (AUC) was calculated to assess a potential improvement in the prediction of culprit lesions. Results Overall, 657 patients (age 58.06±18.04 years, 53% male) were included in our study. WMA were detected in 76 patients (11.6%). Patients with WMA were older (66.92±13.85 vs. 56.90±18.21 years, p<0.001), had significantly higher Troponin-levels (18.5 [6.0; 91.5] vs. 6.0 [6.0; 15.0], p<0.001) and higher blood pressure (139.0±19.29 vs. 135.1±19.21, p=0.04). WMA were significantly more frequent in patients reaching the primary endpoint (26.2% vs. 7.6%, p<0.001). In multivariable regression analysis, the presence of WMA was associated with 3-fold increased odds of the presence of culprit lesions (3.41 [1.99–5.86], p<0.001). Adding WMA to a multivariable model containing the TIMI risk score, cardiac biomarkers and traditional risk factors significantly improved the AUC for prediction of obstructive coronary artery disease (0.777 to 0.804, p=0.009). Conclusion WMA strongly and independently predict the presence of culprit lesions in patients presenting with acute chest pain to the emergency department. Our results suggest that routine bedside echocardiography for assessment of WMA in emergency department may improve diagnostic algorithms in suspected acute coronary syndrome. FUNDunding Acknowledgement Type of funding sources: None.


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