Hidden Heart Risk Detected in Patients With Normal Cardiac Stress Tests
A new PET imaging metric identifies patients with normal scans who still face 41% higher cardiovascular event risk.
Summary
Standard cardiac PET stress tests may miss a clinically important group of patients at elevated heart risk. Researchers analyzed over 6,600 patients with normal perfusion scans and found that measuring blood flow specifically to the inner heart layer — the subendocardium — identified nearly 900 patients whose risk of heart attack, death, or heart failure hospitalization was 41% higher than those with truly normal results. This subendocardial myocardial flow reserve metric captured risk that conventional transmural flow measurements missed entirely. The findings suggest cardiologists could refine risk stratification and potentially intervene earlier in patients currently reassured by a normal stress test result.
Detailed Summary
Millions of patients undergo cardiac PET stress tests each year and receive reassurance when results appear normal. But a large multicenter study published in Circulation reveals that a subset of these 'normal' patients actually carry substantially elevated cardiovascular risk — detectable only through a more refined measure of heart muscle blood flow.
The study examined 6,603 patients from an international PET registry, all of whom had normal perfusion on standard rubidium-82 stress PET imaging. Researchers compared the conventional transmural myocardial flow reserve (MFR) against a newer metric: subendocardial MFR (MFRSE), which specifically measures flow to the inner, most oxygen-vulnerable layer of the heart wall. Patients were divided into three groups — concordant-normal, discordant (normal transmural but low subendocardial MFR), and abnormal transmural MFR.
Over a median follow-up of nearly five years, 1,661 major adverse cardiovascular events (MACE) occurred. The 885 discordant patients — those with normal standard results but reduced subendocardial flow — faced a 41% higher risk of MACE and a 36% higher risk of all-cause mortality compared to the concordant-normal group. Their annualized event rate of 5.79% fell squarely between the normal group (3.99%) and the overtly abnormal group (8.35%), suggesting a genuine intermediate-risk phenotype.
For clinicians, this is a meaningful advance. These discordant patients were older and more likely to have hypertension, diabetes, and peripheral artery disease — comorbidities that may impair subendocardial microcirculation before macrovascular disease becomes apparent on conventional imaging.
The key implication: adding MFRSE analysis to standard PET reports could identify higher-risk patients currently sent home with false reassurance, enabling earlier preventive strategies. Caveats include the observational design and that the full text was unavailable for detailed review.
Key Findings
- Patients with normal standard PET but low subendocardial MFR had 41% higher MACE risk over ~5 years.
- Low subendocardial MFR identified an intermediate-risk group with 5.79% annualized event rate vs 3.99% in normal group.
- 885 of 6,603 'normal perfusion' patients (13%) were reclassified to higher risk using subendocardial MFR.
- All-cause mortality risk was 36% higher in the discordant group compared to concordant-normal patients.
- Discordant patients had more diabetes, hypertension, and peripheral artery disease — pointing to microvascular disease.
Methodology
Multicenter retrospective registry study of 6,603 patients with normal rubidium-82 PET perfusion from multiple academic centers across North America and Europe. Patients were stratified by transmural and subendocardial MFR cutoffs derived via Youden's index. Median follow-up was 4.9 years with MACE (death, MI, revascularization, HF hospitalization) as the primary endpoint.
Study Limitations
This summary is based on the abstract only, as the full text was not available; detailed methodology, covariate adjustments, and subgroup analyses could not be reviewed. The observational registry design limits causal inference, and it is unclear whether interventions targeting low subendocardial MFR improve outcomes. Generalizability may vary depending on PET scanner protocols and software used to derive subendocardial flow metrics.
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