Key result
PFR <2.1 linked to ~8-fold greater MACE risk in chronic coronary syndrome.
Why the study?
Chronic coronary syndromes significantly contribute to cardiovascular morbidity and mortality, making early detection of myocardial dysfunction crucial for improving outcomes.
Does a lower Peak Filling Rate (PFR < 2.1) predict major adverse cardiovascular events in patients with chronic coronary syndromes?
Does a lower Peak Filling Rate (PFR < 2.1) predict major adverse cardiovascular events in patients with chronic coronary syndromes?
A Peak Filling Rate < 2.1 derived from gated myocardial perfusion scintigraphy is a strong independent predictor of major adverse cardiovascular events in patients with chronic coronary syndromes.
PFR <2.1 may aid risk stratification in chronic coronary syndrome; leaves open incremental value beyond standard models in larger cohorts.
Introduction Chronic coronary syndromes (CCS) are a significant contributor to cardiovascular morbidity and mortality. Early detection of myocardial dysfunction is crucial for improving outcomes. Peak Filling Rate (PFR), a diastolic function parameter derived from gated myocardial perfusion scintigraphy (MPS), has emerged as a potential prognostic marker for cardiovascular events in CCS patients. Method This retrospective cohort study analyzed 101 CCS patients who underwent gated MPS using Tc-99m sestamibi between January 2017 and June 2018. Patients were categorized based on PFR values (<2.1 vs. ≥2.1). The primary endpoint was major adverse cardiovascular events (MACE), including myocardial infarction, heart failure hospitalization, stroke, and cardiovascular death, over a one-year follow-up. Statistical analyses included Kaplan-Meier survival and Cox regression models. Results Patients with PFR <2.1 had a significantly higher incidence of MACE compared to those with PFR ≥2.1 (28.7% vs. 13.4%; p = 0.012). Survival analysis revealed reduced event-free survival in the PFR <2.1 group (mean survival: 8.87 vs. 11.70 months; log rank = 0.012). Multivariate analysis confirmed PFR <2.1 as an independent predictor of MACE (HR: 8.21; 95% CI: 1.11–60.43; p = 0.035). Conclusion Lower PFR values are associated with a higher risk of adverse cardiovascular events in CCS patients. Incorporating PFR assessment into routine clinical practice may enhance risk stratification and inform management strategies for better patient outcomes.
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Lubis et al. (2025) studied this question. In chronic coronary syndrome patients, PFR <2.1 was linked to a 28.7% MACE rate vs 13.4% for PFR ≥2.1; PFR <2.1 independently predicted MACE (HR 8.21).
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