Non-traditional factors affecting referral for coronary angiography following SPECT myocardial perfusion imaging
Autor: | Guru N Kowlgi, Nasir Hussain, W. Lane Duvall, David Silverman, Shreyas Gowdar, Mohammad Elsadany, Alan W. Ahlberg |
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Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
Multivariate analysis medicine.diagnostic_test Referral business.industry 030204 cardiovascular system & hematology medicine.disease 030218 nuclear medicine & medical imaging Coronary artery disease 03 medical and health sciences Myocardial perfusion imaging 0302 clinical medicine Internal medicine Angiography Health care medicine Marital status Radiology Nuclear Medicine and imaging Cardiology and Cardiovascular Medicine business Socioeconomic status |
Zdroj: | Journal of Nuclear Cardiology. 29:1141-1155 |
ISSN: | 1532-6551 1071-3581 |
Popis: | The use of myocardial perfusion imaging (MPI) in the management of coronary artery disease (CAD) is well established. Although prior studies have shown disparities in the use of invasive angiography in patients with acute MI, data on factors affecting referral to angiography post-MPI are lacking. We sought to evaluate the primary determinants of referral to invasive angiography post-MPI and specifically assess the role of non-traditional non-clinical factors such as race/ethnicity, socioeconomic factors, insurance status, and marital status. All patients without known CAD who underwent stress SPECT MPI over 15 years were reviewed and the performance of coronary angiography within 90 days of their MPI was recorded. Multiple factors were analyzed for an association with referral to angiography, including exercise and MPI results, baseline demographics, traditional cardiac risk factors, and non-traditional factors such as ethnicity, insurance, marital and socioeconomic status. In a secondary analysis, these factors were assessed with regard to abnormal MPI results. Out of 27,895 total patients, 2,150 (7.7%) underwent invasive coronary angiography. On multivariate analysis, inpatient location, positive ECG response, and abnormal MPI results were the strongest predictors of angiography. Non-traditional factors such as race/ethnicity and insurance status had a significant association with referral to angiography with Caucasians (OR 1.42, 95% CI 1.18-1.71, P |
Databáze: | OpenAIRE |
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