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. 2017 Sep 13;20(8):1352–1361. doi: 10.1093/europace/eux246

Table 2.

QRS-T angle measurements in MI survivors

MRT ART TCRT
ACM (N = 72/864) Event + (°) 96.6 ± 53.2 89.9 ± 50.4 97.0 ± 50.1
Event − (°) 74.5 ± 49.6 75.9 ± 45.4 71.3 ± 43.8
Comparison P 0.001 0.02 0.00003
ROC AUC (%) 62.0 (53.7–70.0) 58.7 (50.4–67.0) 65.2 (57.2–73.1)
Cox model P 0.5 0.6 0.004
CM (N = 38/898) Event + (°) 95.4 ± 55.9 90.2 ± 50.9 96.6 ± 49.8
Event − (°) 75.4 ± 49.8 76.4 ± 45.7 72.3 ± 44.4
Comparison P 0.03 0.08 0.003
ROC AUC (%) 61.4 (50.1–72.0) 59.6 (48.1–70.6) 65.3 (54.3–75.5)
Cox model P 0.8 0.9 0.03
SCD (N = 14/922) Event + (°) 110.2 ± 53.9 107.4 ± 38.8 116.0 ± 44.0
Event − (°) 75.7 ± 50.0 76.5 ± 45.9 72.6 ± 44.6
Comparison P 0.01 0.008 0.001
ROC AUC [%] 72.1 (55.7–86.3) 72.7 (60.5–83.2) 78.3 (63.4–89.6)
Cox model P 0.7 0.6 0.03

For each follow-up event type (ACM, all-cause mortality; CM, cardiac mortality; SCD, sudden cardiac death), the association of different measurements of QRS-T angle is shown. N shows number of patient with follow-up events/without events. Event+ and Event− show the measurements in patients with and without events respectively (mean ± standard deviation, in degrees). Comparison P—the result of statistical comparison of the values in patients with and without events. ROC AUC—area under the receiver operator characteristics for the prediction of the follow-up events (median value, 90% confidence interval in brackets, in percent). Cox model P—statistical significance in a multivariable Cox regression model predicting the follow-up event using all three measurements of the QRS-T angle.

MRT, maximum R to T; ART, area R to T; TCRT, total cosine R to T.