TY - JOUR
T1 - A combined anatomic and electrophysiologic substrate based approach for sudden cardiac death risk stratification
AU - Merchant, Faisal M.
AU - Zheng, Hui
AU - Bigger, Thomas
AU - Steinman, Richard
AU - Ikeda, Takanori
AU - Pedretti, Roberto F E
AU - Salerno-Uriarte, Jorge A.
AU - Klersy, Catherine
AU - Chan, Paul S.
AU - Bartone, Cheryl
AU - Hohnloser, Stefan H.
AU - Ruskin, Jeremy N.
AU - Armoundas, Antonis A.
PY - 2013/10
Y1 - 2013/10
N2 - Background Although left ventricular ejection fraction (LVEF) is the primary determinant for sudden cardiac death (SCD) risk stratification, in isolation, LVEF is a sub-optimal risk stratifier. We assessed whether a multi-marker strategy would provide more robust SCD risk stratification than LVEF alone. Methods We collected patient-level data (n = 3355) from 6 studies assessing the prognostic utility of microvolt T-wave alternans (MTWA) testing. Two thirds of the group was used for derivation (n = 2242) and one-third for validation (n = 1113). The discriminative capacity of the multivariable model was assessed using the area under the receiver-operating characteristic curve (c-index). The primary endpoint was SCD at 24 months. Results In the derivation cohort, 59 patients experienced SCD by 24 months. Stepwise selection suggested that a model based on 3 parameters (LVEF, coronary artery disease and MTWA status) provided optimal SCD risk prediction. In the derivation cohort, the c-index of the model was 0.817, which was significantly better than LVEF used as a single variable (0.637, P
AB - Background Although left ventricular ejection fraction (LVEF) is the primary determinant for sudden cardiac death (SCD) risk stratification, in isolation, LVEF is a sub-optimal risk stratifier. We assessed whether a multi-marker strategy would provide more robust SCD risk stratification than LVEF alone. Methods We collected patient-level data (n = 3355) from 6 studies assessing the prognostic utility of microvolt T-wave alternans (MTWA) testing. Two thirds of the group was used for derivation (n = 2242) and one-third for validation (n = 1113). The discriminative capacity of the multivariable model was assessed using the area under the receiver-operating characteristic curve (c-index). The primary endpoint was SCD at 24 months. Results In the derivation cohort, 59 patients experienced SCD by 24 months. Stepwise selection suggested that a model based on 3 parameters (LVEF, coronary artery disease and MTWA status) provided optimal SCD risk prediction. In the derivation cohort, the c-index of the model was 0.817, which was significantly better than LVEF used as a single variable (0.637, P
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U2 - 10.1016/j.ahj.2013.06.023
DO - 10.1016/j.ahj.2013.06.023
M3 - Article
C2 - 24093856
AN - SCOPUS:84885175628
SN - 0002-8703
VL - 166
SP - 744
EP - 752
JO - American Heart Journal
JF - American Heart Journal
IS - 4
ER -