Use of downstream stress imaging tests for risk stratification of patients presenting to the emergency department with chest pain and low HEART score

被引:0
|
作者
Abazid, Rami M. [1 ]
Pati, Nilkanth [2 ,3 ]
Elrayes, Maged [3 ]
Awadallah, Sameh [3 ]
Ibrahim, Mohamed M. [4 ]
Alaref, Amer [5 ]
Bureau, Yves [6 ]
Akincioglu, Cigdem [7 ]
Bagur, Rodrigo [3 ]
Tzemos, Nikolaos [3 ]
机构
[1] Northern Ontario Sch Med NOSM Univ, Dept Med, Dept Med, Sault Ste Marie, ON, Canada
[2] Asian Inst Gastroenterol AIG Hosp, Dept Cardiol, Hyderabad, India
[3] London Hlth Sci Ctr, Dept Med, Divid Cardiol, London, ON, Canada
[4] Northern Ontario Sch Med NOSM Univ, Dept Med, Sudbury, ON, Canada
[5] Northern Ontario Sch Med NOSM Univ, Dept Med, Thunderbay, ON, Canada
[6] London Hlth Sci Ctr, Dept Psychol, London, ON, Canada
[7] London Hlth Sci Ctr, Dept Med Imaging, Divid Nucl Med, London, ON, Canada
来源
OPEN HEART | 2024年 / 11卷 / 02期
关键词
Chest Pain; Tomography; Emission-Computed; Single-Photon; Echocardiography; GUIDELINES;
D O I
10.1136/openhrt-2024-002735
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Patients with low HEART (History, Electrocardiogram, Age, Risk factors, and Troponin level) risk scores who are discharged from the emergency department (ED) may present clinical challenges and diagnostic dilemmas. The use of downstream non-invasive stress imaging (NISI) tests in this population remains uncertain. Therefore, this study aims to investigate the value of NISI in risk stratification and predicting cardiac events in patients with low-risk HEART scores (LRHSs). Methods: We prospectively included 1384 patients with LRHSs between March 2019 and March 2021. All the patients underwent NISI (involving myocardial perfusion imaging/stress echocardiography). The primary endpoints included cardiac death, non-fatal myocardial infarction and unplanned coronary revascularisation. Secondary endpoints encompassed cardiovascular-related admissions or ED visits. Results: The mean patient age was 64 +/- 14 years, with 670 (48.4%) being women. During the 634 +/- 104 days of follow-up, 58 (4.2%) patients experienced 62 types of primary endpoints, while 60 (4.3%) developed secondary endpoints. Multivariable Cox models, adjusted for clinical and imaging variables, showed that diabetes (HR: 2.38; p=0.008), HEART score of 3 (HR: 1.32; p=0.01), history of coronary artery disease (HR: 2.75; p=0.003), ECG changes (HR: 5.11; p<0.0001) and abnormal NISI (HR: 16.4; p<0.0001) were primary endpoint predictors, while abnormal NISI was a predictor of secondary endpoints (HR: 3.05; p<0.0001). Conclusions: NISI significantly predicted primary cardiac events and cardiovascular-related readmissions/ED visits in patients with LRHSs.
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页数:8
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