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Updated: May 13, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Predictive value of myocardial perfusion single-photon emission computed tomography and the impact of renal function
Abdul Hakeem1, Sabha Bhatti, Kathryn Sullivan Dillie
1Division of Cardiovascular Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio 45257-0542, USA. ahakeem@gmail.com
Chronic kidney disease (CKD) worsens cardiovascular outcomes. Myocardial perfusion imaging (MPS) and CKD are independent predictors of cardiac death, with CKD patients having a poorer prognosis even with normal scans.
Area of Science:
- Cardiology
- Nephrology
- Nuclear Medicine
Background:
- Patients with chronic kidney disease (CKD) experience higher rates of adverse cardiovascular outcomes.
- The prognostic value of myocardial perfusion single-photon emission CT (MPS) in patients with impaired renal function is not well-established.
- The impact of CKD on predicting cardiac death in patients undergoing MPS requires further investigation.
Purpose of the Study:
- To evaluate the prognostic utility of MPS in patients with varying degrees of renal dysfunction.
- To determine the impact of CKD on cardiac death prediction in patients undergoing MPS.
- To assess the combined predictive value of MPS and renal function for cardiac events.
Main Methods:
- A cohort of 1652 patients undergoing stress MPS was followed for cardiac death.
- Renal function was assessed using the Modified Diet in Renal Disease (MDRD) equation, with CKD defined as an estimated glomerular filtration rate <60 mL/min/1.73 m².
- Multivariate Cox proportional hazards models were used to identify independent predictors of cardiac death.
Main Results:
- 36% of patients had CKD. Cardiac death rates increased with worsening MPS perfusion defects across all renal function levels.
- Both MPS perfusion defects (HR 1.90) and CKD (HR 1.96) were independent predictors of cardiac death.
- Patients with normal MPS and CKD had significantly higher cardiac death rates than those without CKD and normal MPS (2.7% vs. 0.8%).
Conclusions:
- MPS effectively stratifies risk across the spectrum of renal function.
- Renal dysfunction is an independent predictor of cardiac death in patients undergoing MPS.
- Combining MPS and renal function assessment provides additive value for risk stratification in patients with suspected coronary artery disease, highlighting a worse prognosis for CKD patients even with normal MPS findings.
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