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. 2016 Mar-Apr;27(2):66–70. doi: 10.5830/CVJA-2015-092

Table 3. Binary logistic regression models for predictors of PPCM.

Variables Odds ratio 95% CI p-value
Univariate analysis
ECG heart rate, beats/min 1.078 1.048–1.109 < 0.001*
QRS duration, ms 1.038 1.013–1.065 0.003*
QTc interval, ms 1.036 1.019–1.054 < 0.001*
Normal heart rate 0.103 0.044–0.241 < 0.001*
QRS ≥ 110 ms 5.241 2.057–13.355 0.001*
QTc ≥ 460 ms 9.471 2.548–35.199 0.001*
ST–T-wave abnormalities 11.970 5.160–22.770 < 0.001*
Multivariate analyses
A (included variables: heart rate, QRS, QTc, ST–T-wave abnormalities)
ECG heart rate, beats/min 1.073 1.036–1.112 < 0.001*
ST–T-wave abnormalities 14.591 4.581–46.480 < 0.001*
QRS duration, ms 1.028 0.994–1.062 0.105
QTc interval, ms 1.014 0.993–1.035 0.202
B (included variables: heart rate, ST-Twave abnormalities, serum potassium level)
ECG heart rate, beats/min 1.066 1.029–1.104 < 0.001*
ST-T-wave abnormalities 12.056 3.507–4.443 < 0.001*
C (included variables: heart rate, ST-Twave abnormalities, serum sodium level)
ECG heart rate, beats/min 13.415 4.203–42.825 < 0.001*
ST–T-wave abnormalities 1.064 1.029–1.101 < 0.001*

*p-value statistically significant; ECG, electrocardiogram.