Key result
The cQFR-fQFR value predicts ~880% higher odds of microvascular dysfunction after STEMI.
Why the study?
It was hypothesized that quantitative flow ratio computation, a novel approach for rapid computation of fractional flow reserve, could be used to predict microvascular dysfunction after STEMI.
Does quantitative flow ratio (QFR) computation predict microvascular dysfunction in patients with STEMI?
Observational (n=130)
Does quantitative flow ratio (QFR) computation predict microvascular dysfunction in patients with STEMI?
Effect estimate: OR 9.800
p-value: p=<0.001
Quantitative flow ratio computation, specifically the cQFR-fQFR difference and modeled hyperemic flow velocity, can independently predict microvascular dysfunction after STEMI.
May aid post-STEMI risk stratification for microvascular dysfunction; hypothesis-generating and requires prospective validation before clinical adoption.
OBJECTIVES: This study evaluated quantitative flow ratio (QFR) to predict microvascular dysfunction (MVD) in patients with ST-segment elevation myocardial infarction (STEMI). BACKGROUND: QFR is a novel approach for the rapid computation of fractional flow reserve based on three-dimensional quantitative coronary angiography. We hypothesized that QFR computation could be used to predict MVD after STEMI. METHODS: Indexes such as contrast-flow QFR (cQFR), fixed-flow QFR (fQFR), and hyperemic flow velocity (HFV) were calculated in 130 STEMI patients with culprit lesion with ≥50% diameter stenosis and TIMI flow grade 2/3 in the spontaneously recanalized culprit artery on initial angiography. MVD was defined as microvascular obstruction determined by contrast-enhanced cardiac magnetic resonance at a median of 5 days after percutaneous coronary intervention. RESULTS: Patients were divided into the MVD group (76/130, 58.5%) and non-MVD group (54/130, 41.5%). Patients with MVD had higher cQFR-fQFR value (0.080 ± 0.058 vs. 0.038 ± 0.039, p < .001) and lower modeled HFV (0.096 ± 0.044 vs. 0.144 ± 0.041 m/s, p < .001). Receiver operator characteristic curve analysis revealed that both the cQFR-fQFR value (area under the curve, AUC = 0.716, p < .001) and modeled HFV (AUC = 0.805, p < .001) had high specificity and positive predictive value to predict MVD. In multivariable logistic analysis, cQFR-fQFR was identified as an independent predictor of MVD (odds ratio = 9.800, p < .001). CONCLUSIONS: This proof-of-concept study suggested that QFR computation may be a useful tool to predict MVD after STEMI (Trial Registration:NCT03780335).
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Sheng et al. (2020) conducted an observational in ST-segment elevation myocardial infarction (STEMI) (n=130). Quantitative flow ratio (QFR) computation was evaluated on Microvascular dysfunction (MVD) defined as microvascular obstruction determined by contrast-enhanced cardiac magnetic resonance (OR 9.800, p=<0.001). Quantitative flow ratio computation, specifically the cQFR-fQFR value, independently predicted microvascular dysfunction after STEMI (OR 9.800, p<0.001).
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