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Determinants of Ventricular Arrhythmias in Sickle Cell Anemia: Towards a Better Prevention of Sudden Cardiac Death.

Thomas d'HumièresJoseph SabaLaurent SavaleMarie DupuyLaurent BoyerHenri GuilletLara AlassaadGonzalo De LunaSihem IlesAnne-Laure Pham-Hung D'Alexandry D'OrengianiYosr ZaoualiNouhaila BoukourYanis PelinskiLaurent A MessonnierEtienne AudureauHaytham DerbelAnoosha HabibiNicolas LelloucheGeneviève DerumeauxPablo Bartolucci
Published in: Blood (2023)
Sudden death is one of the leading causes of death in adults with sickle cell anemia (SCA) but its etiology remains most often unknown. Ventricular arrhythmia (VA) carries an increased risk of sudden death but its prevalence and determinants in SCA is poorly studied. The aim of this study is to identify the prevalence and predictors of VA in SCA patients. From January 2019 to March 2022, 100 SCA patients were referred to ambulatory cardiology department to specifically analyze cardiac function and were prospectively included in DREPACOEUR registry. They underwent a 24-hour ECG monitoring (24h-holter), a transthoracic echocardiography (TTE) and laboratory tests on the same day. The primary end-point was the occurrence of VA, defined as sustained or non-sustained ventricular tachycardia (VT), more than 500 premature ventricular contractions (PVCs) on 24h-holter, or recent history of VT ablation. Mean age was 46±13 years, 48% of patients were male. VA was observed in 22 (22%) patients (9 non-sustained VT [range 4-121 consecutive PVCs]), 15 with more than 500 PVCs and 1 history of VT ablation). Male sex (81 vs. 34%, p=0.02), impaired global longitudinal strain (GLS: -16±1.9% vs. -18.3±2.7%, p=0.02), and decreased platelet count (226±96G/L vs. 316±130G/L, p=0.02) were independently associated with VA occurrence. GLS correlated to PVC load/24h (r=0.39, p<0.001) and a cut-off of -17.5% could predict VA with a sensitivity of 82% and a specificity of 63%. Ventricular arrhythmias are common in SCA patients, especially in men. This pilot study uncovers GLS as a valuable parameter to improve rhythmic risk stratification.
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