Chrome Extension
WeChat Mini Program
Use on ChatGLM

Healthcare Resource Utilization among Patients Receiving Non-Invasive Testing for Coronary Artery Disease in an Outpatient Setting: A Cohort Study Reflecting Daily Practice Trends

Journal of nuclear cardiology(2022)

Cited 1|Views4
No score
Abstract
BACKGROUND:Accurate, early diagnosis and the initiation of appropriate treatment is central to reducing the clinical burden of coronary artery disease (CAD); however, real-world evidence characterizing healthcare resource utilization (HCRU) associated with testing for CAD is lacking.METHODS AND RESULTS:Using a non-interventional, retrospective, secondary database analysis, patients aged ≥18 years who underwent outpatient non-invasive cardiac diagnostic testing were identified. The primary objective was to gain an understanding of pre- and post-assessment care pathways and the associated interventions for patients who underwent non-invasive testing for CAD in either an outpatient or emergency department setting. Overall, chest pain was the primary reason for the index visit (54.8%), followed by shortness of breath (23.7%), myocardial infarction (MI), coronary artery disease (CAD) or congestive heart failure (CHF) (3.8%), and other (46.8%); 3.0% of patients had no apparent reason for testing in the last 45 days. Single-photon emission computed tomography (SPECT) was the dominant diagnostic testing modality (40.3%). During the 90-day follow-up, 7.3% (n = 22,083) of patients were diagnosed with CAD; among these patients, 19.4% had repeat diagnostic testing, 26.0% of patients had a revascularization procedure, and 65.6% underwent cardiac catheterization. These rates varied by testing modality.CONCLUSIONS:In this study of a large real-world data sample, variability in the use of non-invasive tests and HCRU were evident. These results may assist efforts to optimize system-wide care/diagnostic pathways and value-based treatment decisions for patients.
More
Translated text
Key words
CAD < diseases/processes,SPECT < modalities,ETT < tests,Diagnostic and prognostic application < outcomes
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined