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. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: JACC Clin Electrophysiol. 2015 Dec 1;1(6):542–550. doi: 10.1016/j.jacep.2015.07.010

Table 4.

Reclassification table showing predicted probabilities for SCD odds from adjusted logistic regression model without and with ECG variables.

Model without ECG variables* Model with ECG variables
Cases <0.50 0.50 – 0.69 ≥ 0.70 Total
<0.50 79 43 3 125 (39%)
0.50 – 0.69 29 61 54 144 (45%)
>=0.70 0 10 38 48 (15%)
Total 108 (34%) 114 (36%) 95 (30%) 317
Controls <0.50 0.50 – 0.69 >= 0.70 Total
<0.50 175 21 2 198 (62%)
0.50 – 0.69 46 47 14 107 (34%)
>=0.70 0 5 7 12 (4%)
Total 221 (70%) 73 (23%) 23 (7%) 317

Net reclassification improvement = 22.7%, z = 4.811, p <0.0001

*

Logistic model included the following terms: EF ≤35% vs. >35%, age, sex, diabetes, and hypertension. In the model with ECG markers, each marker (heart rate, JTc, and QRS) was entered separately as a dichotomous variable (≥75th vs. <75th percentile).

Predicted probabilities from the logistic regression model. Note that when the predicted probability is 0.5, then the two outcomes (SCD or no SCD) are equally likely.

Green colors indicate an improvement in prediction of SCD odds with addition of ECG markers (movement from lower to higher predicted probability for cases, and from higher to lower predicted probability for controls); red colors indicate worsening prediction (movement from higher to lower predicted probability for cases, and from lower to higher predicted probability for controls).