Usefulness of tissue tracking to differentiate tachycardia-induced cardiomyopathy from dilated cardiomyopathy in patients admitted for heart failure.

Autor: Vera A; Cardiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, CIBER-CV, C/Diego de León 62, Madrid, 28006, Madrid, Spain., Cecconi A; Cardiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, CIBER-CV, C/Diego de León 62, Madrid, 28006, Madrid, Spain. albertocecconi@hotmail.com., Martínez-Vives P; Cardiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, CIBER-CV, C/Diego de León 62, Madrid, 28006, Madrid, Spain., López-Melgar B; Cardiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, CIBER-CV, C/Diego de León 62, Madrid, 28006, Madrid, Spain., Olivera MJ; Radiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, Madrid, Spain., Hernández S; Radiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, Madrid, Spain., Rojas-González A; Cardiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, CIBER-CV, C/Diego de León 62, Madrid, 28006, Madrid, Spain., Díez-Villanueva P; Cardiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, CIBER-CV, C/Diego de León 62, Madrid, 28006, Madrid, Spain., Salamanca J; Cardiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, CIBER-CV, C/Diego de León 62, Madrid, 28006, Madrid, Spain., Caballero P; Radiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, Madrid, Spain., Jiménez-Borreguero LJ; Cardiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, CIBER-CV, C/Diego de León 62, Madrid, 28006, Madrid, Spain., Alfonso F; Cardiology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, IIS-IP, CIBER-CV, C/Diego de León 62, Madrid, 28006, Madrid, Spain.
Jazyk: angličtina
Zdroj: Heart and vessels [Heart Vessels] 2024 Oct 08. Date of Electronic Publication: 2024 Oct 08.
DOI: 10.1007/s00380-024-02471-w
Abstrakt: Introduction: Differentiation of tachycardia-induced cardiomyopathy (TIC) from dilated cardiomyopathy (DCM) in patients admitted for heart failure (HF) with left ventricular dysfunction and supraventricular tachyarrhythmia (SVT) remains challenging. The role of tissue tracking (TT) in this setting remains unknown.
Methods: Forty-three consecutive patients admitted for HF due to SVT with left ventricular ejection fraction (LVEF) < 50% undergoing CMR were retrospectively included. Those eventually evolving to LVEF > 50% at follow-up were classified as TIC and those maintaining a LVEF < 50% were classified as DCM. Clinical, echocardiography, and CMR findings, including TT, were analyzed to predict LVEF recovery.
Results: Twenty-five (58%) patients were classified as TIC. Late gadolinium enhancement (LGE) was more frequent in DCM group (61% vs 16%, p = 0.004). Left ventricle (LV) peak systolic radial velocity and peak diastolic radial strain rate were lower in DCM group (7.24 ± 4.44 mm/s vs 10.8 ± 4.5 mm/s; p = 0.015 and -0.12 ± 0.33 1/s vs -0.48 ± 0.51 1/s; p = 0.016, respectively). Right ventricle (RV) peak circumferential displacement was lower in patients with TIC (0.2 ± 1.3 vs 1.3 ± 0.9°; p = 0.009). In the multivariate analysis, diabetes (p = 0.046), presence of LGE (p = 0.028), LV peak systolic radial velocity < 7.5 mm/s (p = 0.034), and RV peak circumferential displacement > 0.5° (p = 0.028) were independent predictors of lack of LVEF recovery.
Conclusion: In the setting of acute HF with LV dysfunction related to SVT, diabetes, LGE, LV peak systolic velocity, and RV peak circumferential displacement are independent predictors of lack of LVEF recovery and, therefore, represent clinically useful parameters to differentiate TIC from DCM.
(© 2024. Springer Nature Japan KK, part of Springer Nature.)
Databáze: MEDLINE
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