Key result
Native T2 mapping, hs-TropT, and LGE independently predict ~100% higher MACE risk in suspected myocardial inflammation.
Why the study?
Clinical recognition of myocardial inflammation remains challenging, and the relative prognostic value of individual non-invasive markers had not been systematically evaluated.
Do standardised CMR-based markers and biomarkers predict major adverse cardiovascular events in patients with clinically suspected myocardial inflammation?
Observational (n=722)
Blinded analysts
Yes
Do standardised CMR-based markers and biomarkers predict major adverse cardiovascular events in patients with clinically suspected myocardial inflammation?
In patients with clinically suspected myocardial inflammation, quantitative CMR tissue characterisation (native T2 mapping and LGE) and hs-TropT provide independent and incremental prognostic value for major adverse cardiovascular events.
Supports targeted surveillance for high-grade myocardial inflammation on CMR; extends prognostic frameworks with independent native T2 value.
Myocardial inflammation is a key driver of adverse outcomes; yet its clinical recognition remains challenging because of heterogeneous presentation and non-standardised prognostic frameworks. While prior studies linked troponin and late gadolinium enhancement (LGE) by cardiovascular magnetic resonance imaging (CMR) to outcomes, the relative prognostic value of individual non-invasive markers has not been systematically evaluated. We systematically evaluated the prognostic value of biomarkers and non-invasive imaging variables in patients with clinically suspected myocardial inflammation presenting to tertiary centres and referred for CMR diagnostic evaluation. The primary endpoint was major adverse cardiovascular events (MACE). A total of 722 patients (median age: 50 years [IQR: 40–61]; 422 males [58%]) were included. Over a median follow-up of 19 months (IQR: 15–23), 64 patients (9%) experienced MACE. In univariable analyses, age, haematocrit, C-reactive protein, high-sensitivity troponin T (hs-TropT), ventricular function, cardiac volumes and mass, late gadolinium enhancement (LGE), and native T1 and T2 values were associated with the endpoint. In multivariable Cox regression, native T2, hs-TropT, and LGE were independently predictive of MACE (model χ² = 81.64, p < 0.001). Patients with high-grade myocardial inflammation had the highest mid-term event risk (p < 0.001). Among patients with negative troponin, T2 and left ventricular end-diastolic volume (LVEDV), but not LGE, were predictive of MACE. In patients with clinically suspected myocardial inflammation, standardised CMR-based markers provide independent and incremental prognostic information, supporting their role in improved risk stratification beyond composite criteria.
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Nagel et al. (2026) conducted an observational in Clinically suspected myocardial inflammation (n=722). Cardiovascular magnetic resonance (CMR) mapping and biomarkers was evaluated on Major adverse cardiovascular events (MACE) (HR 2.00, 95% CI 1.56-2.58, p=<0.001). Native T2 mapping (HR 2.00), high-sensitivity troponin T (HR 2.19), and late gadolinium enhancement (HR 2.06) independently predicted major adverse cardiovascular events in suspected myocardial inflammation.
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