Table 3.
Univariate Analysis | Multivariate Analysis | Sens./Spec. % | AUC | |||||
---|---|---|---|---|---|---|---|---|
HR | 95% CI | P | HR | 95% CI | P | |||
Age (years) | 1.08 | (1.05–1.11) | <0.001 | 1.06 | (1.03–1.09) | <0.001 | ||
GFR | 0.97 | (0.96–0.99) | <0.001 | 0.99 | (0.98–1.01) | 0.39 | ||
Previous AMI | 2.81 | (1.75–4.51) | <0.001 | 1.59 | (0.88–2.90) | 0.13 | ||
EF (%) | 0.91 | (0.89–0.93) | <0.001 | 0.92 | (0.90–0.94) | <0.001 | ||
Diabetes | 2.95 | (1.86–4.68) | <0.001 | 2.43 | (1.51–3.90) | <0.001 | ||
BNP (pg/mL) | 1.004 | (1.003–1.005) | <0.001 | 1.003 | (1.002–1.004) | <0.001 | 0.77 | |
BNP ≥ 211 pg/mL | 7.59 | (4.26–13.52) | <0.001 | 4.75 | (2.52–8.96) | <0.001 | 34/94 | |
SDNN (ms) | 0.98 | (0.97–0.99) | <0.001 | 0.99 | (0.98–0.996) | 0.006 | 0.69 | |
SDNN ≤ 73 ms | 3.06 | (1.87–5.03) | <0.001 | 1.53 | (0.91–2.59) | 0.11 | 48/79 | |
α1 | 0.07 | (0.03–0.15) | <0.001 | 0.15 | (0.06–0.38) | <0.001 | 0.69 | |
α1≤ 1.04 | 4.29 | (2.60–7.08) | <0.001 | 2.61 | (1.53–4.44) | <0.001 | 44/85 | |
TS (ms/NN) | 0.80 | (0.73–0.88) | <0.001 | 0.85 | (0.76–0.94) | 0.001 | 0.71 | |
TS ≤ 1.29 ms/NN | 3.92 | (2.32–6.62) | <0.001 | 2.53 | (1.48–4.32) | 0.001 | 45/83 | |
BRS (ms/mmHg) | 0.91 | (0.85–0.97) | 0.002 | 0.97 | (0.91–1.03) | 0.34 | 0.67 | |
BRS ≤ 3.57 ms/mmHg | 2.32 | (1.26–4.27) | 0.007 | 1.43 | (0.77–2.65) | 0.26 | 40/80 | |
BNP/SDNN | 1.30 | (1.22–1.38) | <0.001 | 1.28 | (1.19–1.39) | <0.001 | 0.80 | |
BNP/SDNN ≥ 1.79 | 7.00 | (3.95–12.42) | <0.001 | 3.93 | (2.09–7.41) | <0.001 | 49/88 | |
Heart rate | 1.04 | (1.02–1.06) | 0.001 | 1.03 | (1.004–1.05) | 0.02 | 0.61 | |
Heart rate ≥ 72 | 2.50 | (1.53–4.10) | <0.001 | 2.06 | (1.25–3.39) | 0.005 | 40/78 |
α1= short‐term scaling exponent; AUC = area under the curve in the receiver operator characteristics (ROC) curve analysis; EF = left ventricular ejection fraction; GFR = glomerular filtration rate (mL/min/1.73 m2); HR = hazards ratios obtained from the Cox regression; CI = confidence intervals; Sens./Spec. = sensitivity/specificity. Other abbreviations are same as in Table 2. The cutpoints are optimized from the ROC curves at the sensitivity level from 25% to 50%.