ECG scar quantification correlates with cardiac magnetic resonance scar size and prognostic factors in XXXX .

@entity1 @entity296 @entity712 @entity1165 @entity1526 @entity453 @entity299 @entity8526 @entity583 @entity2287 @entity1002
OBJECTIVE: To test the hypothesis that 12-lead ECG QRS scoring quantifies @entity296 and correlates with disease severity in @entity299 . DESIGN: @entity1 underwent 12-lead ECG for QRS scoring and cardiac magnetic resonance with late @entity2287 enhancement (CMR-LGE) to assess @entity296 . SETTING: University of S  o Paulo Medical School, S  o Paulo, Brazil. @entity1 : 44 Seropositive @entity1 with @entity1526 without a history of @entity583 and at low risk for @entity453 . MAIN OUTCOME MEASURES: Correlation between QRS score, CMR-LGE scar size and left ventricular ejection fraction. Relation between QRS score, @entity712 ( @entity712 ) class and history of @entity1165 ( @entity1165 ). RESULTS: QRS score correlated directly with CMR-LGE scar size (R=0.69, p<0.0001) and inversely with left ventricular ejection fraction (R=-0.54, p=0.0002), which remained significant in the subgroup with @entity8526 . @entity1 with class II or III @entity712 had significantly higher QRS scores than those with class I @entity712 (5.1  3.4 vs 2.1  3.1 QRS points (p=0.002)) and @entity1 with a history of @entity1165 had significantly higher QRS scores than those without a history of @entity1165 (5.3  3.2% vs 2.6  3.4 QRS points (p=0.02)). A QRS score >= 2 points had particularly good sensitivity and specificity (95% and 83%, respectively) for prediction of large CMR-LGE, and a QRS score >= 7 points had particularly high specificity (92% and 89%, respectively) for predicting significant @entity1002 and history of @entity1165 . CONCLUSIONS: The wide availability of 12-lead ECG makes it an attractive screening tool and may enhance clinical risk stratification of @entity1 at risk for more severe, symptomatic @entity299 .
