Predictors of cardiovascular events and all‐cause of death in patients with transfusion‐dependent myelodysplastic syndrome

Autor: Tamara Jimenez-Solas, Agustín C. Martín-García, Teresa Gonzalez-Martinez, Elena Díaz-Peláez, Marta Alonso-Fernández-Gatta, Ana Martín-García, Félix López-Cadenas, Pedro L. Sánchez, María Díez-Campelo, Clara Sanchez-Pablo
Přispěvatelé: Junta de Castilla y León, Instituto de Salud Carlos III
Rok vydání: 2021
Předmět:
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
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ISSN: 1365-2141
0007-1048
DOI: 10.1111/bjh.17652
Popis: Cardiovascular disease (CVD) involves the second cause of death in low-risk myelodysplastic syndrome (MDS) population. Prospective study to characterise the CVD and to identify predictors for the combined event (CE) cardiovascular event and/or all-cause mortality in transfusion dependent low-risk MDS patients. Thirty-one patients underwent a cardiac assessment including biomarkers and cardiac magnetic resonance (cMR) with parametric sequences (T1, T2 and T2* mapping) and myocardial deformation by feature tracking (FT) and were analysed for clonal hematopoiesis of indeterminate potential mutations. Cardiac assessment revealed high prevalence of unknown structural heart disease (51% cMR pathological findings). After 2·2 [0·44] years follow-up, 35·5% of patients suffered the CE: 16% death, 29% cardiovascular event. At multivariate analysis elevated NT-proBNP ≥ 486pg/ml (HR 96·7; 95%-CI 1·135–8243; P = 0·044), reduced native T1 time < 983ms (HR 44·8; 95%-CI 1·235–1623; P = 0·038) and higher left ventricular global longitudinal strain (LV-GLS) (HR 0·4; 95%-CI 0·196–0·973; P = 0·043) showed an independent prognostic value. These variables, together with the myocardial T2* time < 20ms, showed an additive prognostic value (Log Rank: 12·4; P = 0·001). In conclusion, low-risk MDS patients frequently suffer CVD. NT-proBNP value, native T1 relaxation time and longitudinal strain by FT are independent predictors of poor cardiovascular prognosis, thus, their determination would identify high-risk patients who could benefit from a cardiac treatment and follow-up.
This work was funded by aGerencia Regional de Salud de Castilla y León grant(GRS1203/A/15) and a Rıo Hortega contract (CM19/00055),supported by the Instituto de Salud Carlos III in Spain (co-funded by the European Social Fund ‘Investing in yourfuture’).
Databáze: OpenAIRE