ArticleHeart and vessels2026
Predictive ability of microvascular resistance reserve for periprocedural myocardial injury in patients with stable coronary artery disease undergoing percutaneous coronary intervention.
Article in Heart and vessels, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Prediction of severe aortic stenosis using peripheral arterial waveforms during brachial-ankle pulse wave velocity testing.Heart and vessels · 2026Article
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Authors and funding
12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Periprocedural myocardial injury (PMI) has shown an association with worse prognosis after percutaneous coronary intervention (PCI). The microvascular resistance reserve (MRR) has been introduced as an index to evaluate microvascular vasodilatory capacity, independent of epicardial disease. Given the unclear association between MRR and PMI, this study aimed to determine the relationship between PMI and coronary microvascular dysfunction, including index of microcirculatory resistance (IMR) and MRR. This study identified 68 patients with stable angina pectoris who underwent PCI after measurements of coronary circulatory physiological indices at Hiroshima University Hospital between October 2017 and October 2024. PMI was assessed by a post-PCI high-sensitivity troponin T level > 5 times the 99th percentile of the normal upper limit (> 0.07 ng/mL). In total, 57 patients were enrolled, of which 18 (31.6%) had elevation of troponin T > 0.07 ng/mL after PCI and were classified into the PMI group. Significantly worse measurements of IMR (33.7 [24.0–43.8] vs. 26.0 [15.9–33.0], p = 0.029) and MRR (2.95 [2.28–4.00] vs. 4.29 [3.01–5.74], p = 0.009) were documented in the PMI group. After multivariable logistic regression analyses, both MRR (OR 0.464; 95% CI 0.234–0.919; p = 0.028) and IMR (OR 1.060; 95% CI 1.000–1.1830; p = 0.041) were identified as predictive factors of PMI. Both MRR and IMR before PCI were independent predictors of PMI.
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