Details

Autor(en) / Beteiligte

• Magrì, Damiano, MD, PhD
• Santolamazza, Caterina, MD
• Limite, Luca, MD
• Mastromarino, Vittoria, MD
• Casenghi, Matteo, MD
• Orlando, Paola, MD
• Pagannone, Erika, MD
• Musumeci, Maria Beatrice, MD
• Maruotti, Antonello, PhD
• Ricotta, Agnese, MD
• Oliviero, Giada, MD
• Piccirillo, Gianfranco, MD, PhD
• Volpe, Massimo, MD
• Autore, Camillo, MD

Titel

QT spatial dispersion and sudden cardiac death in hypertrophic cardiomyopathy: Time for reappraisal

Ist Teil von

• Journal of cardiology, 2017-10, Vol.70 (4), p.310-315

Ort / Verlag

Netherlands: Elsevier Ltd

Erscheinungsjahr

2017

Quelle

EZB-FREE-00999 freely available EZB journals

Beschreibungen/Notizen

• Abstract Background The 12-lead surface electrocardiographic (ECG) analysis is able to provide independent predictors of prognosis in several cardiovascular settings, including hypertrophic cardiomyopathy (HCM). The present single-center study investigated the possible ability of several ECG-derived variables in stratifying sudden cardiac death (SCD) risk and, possibly, in improving the accuracy of the 2014 European Society of Cardiology guidelines. Methods A total of 221 consecutive HCM outpatients were recruited and prospectively followed. All of them underwent a full clinical and instrumental examination, including a 12-lead surface ECG to calculate the dispersion for the following intervals: QRS, Q-Tend (QT), Q-Tpeak (QTp), Tpeak-Tend (TpTe), J-Tpeak (JTp), and J-Tend (JT). The study composite end-point was SCD, aborted SCD, and appropriate implantable cardioverter defibrillator (ICD) interventions. Results During a median follow-up of 4.4 years (25th–75th interquartile range: 2.4–9.4 years), 23 patients reached the end-point at 5-years (3 SCD, 3 aborted SCD, 17 appropriate ICD interventions). At multivariate analysis, the spatial QT dispersion corrected according to Bazett's formula (QTcd) remains independently associated to the study endpoint over the HCM Risk-SCD score (C-index 0.737). A QTcd cut-off value of 93 ms showed the best accuracy in predicting the SCD endpoint within the entire HCM study cohort (sensitivity 56%, specificity 75%, positive predictive value 22%, negative predictive value 97%). Conclusion Our data suggest that the QTcd might be helpful in SCD risk stratification, particularly in those HCM categories classified at low-intermediate SCD risk according to the contemporary guidelines.