CMR feature tracking strain patterns and their association with circulating cardiac biomarkers in patients with hypertrophic cardiomyopathy

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Erscheinungsjahr:
2021
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Text
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  • AIMS: CMR feature tracking strain (CMR-FT) provides prognostic information. However, there is a paucity of data in hypertrophic cardiomyopathy (HCM). We sought to analyze global CMR-FT parameters in all four cardiac chambers and to assess associations with NT-proBNP and cardiac troponin T (hsTnT) in patients with HCM.

    METHODS: This retrospective study included 144 HCM patients and 16 healthy controls with CMR at 1.5 T. Analyses were performed on standard steady-state free precession cine (SSFP) CMR data using a commercially available software. Global left ventricular (LV) strain was assessed as longitudinal (LVLAX-GLS), circumferential (LVLAX-GCS) and radial strain (LVLAX-GRS) on long -axis (LAX) and as LVSAX-GCS and LVSAX-GRS on short- axis (SAX). Right ventricular (RV-GLS), left atrial (LA-GLS) and right atrial (RA-GLS) strain were assessed on LAX.

    RESULTS: We found LVLAX-GLS [- 18.9 (- 22.0, - 16.0), - 23.5 (- 25.5, - 22.0) %, p = 0.0001), LVSAX-GRS [86.8 (65.9-115.5), 119.6 (91.3-143.7) %, p = 0.001] and LALAX-GLS [LA2CH-GLS 29.2 (19.1-37.7), LA2CH-GLS 38.2 (34.3-47.1) %, p = 0.0036; LA4CH-GLS 22.4 (14.6-30.7) vs. LA4CH-GLS 33.4 (28.4-37.3) %, p = 0.0033] to be impaired in HCM compared to healthy controls despite normal LVEF. Furthermore, LV and LA strain parameters were impaired in HCM with elevated NT-proBNP and/or hsTnT, despite preserved LVEF compared to HCM with normal biomarker levels. There was a moderate correlation of LV and LA CMR-FT with levels of NT-proBNP and hsTnT.

    CONCLUSION: CMR-FT reveals LV and LA dysfunction in HCM despite normal LVEF. The association between impaired LV strain and elevated NT-proBNP and hsTnT indicates a link between unapparent functional abnormalities and disease severity in HCM. Typical CMR-FT findings in patients with hypertrophic cardiomyopathy.

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  • info:eu-repo/semantics/openAccess
Quellsystem:
Forschungsinformationssystem des UKE

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