Table 1 Baseline clinical characteristics.

From: Multimodal machine learning for 5-year mortality prediction after percutaneous coronary intervention

Characteristic

Total patients

Survival group

Death group

P-value

(n=10,353)

(n = 9149)

(n = 1204)

Age, yr

\(63.1 \pm 10.2\)

\(62.1 \pm 10.0\)

\(69.5 \pm 9.7\)

<0.001

Male sex, n (%)

7,734 (74.8%)

6,762 (75.2%)

972 (71.8%)

0.005

Body-mass index, kg/m\(\vphantom{0}^{-2}\)

\(25.0 \pm 3.1\)

\(25.1 \pm 3.0\)

\(24.0 \pm 3.3\)

<0.001

Hypertension, n (%)

6,688 (64.7%)

5,865 (65.2%)

823 (60.8%)

0.107

Diabetes mellitus, n (%)

3,385 (32.7%)

2,979 (33.1%)

406 (30.0%)

<0.001

Hyperlipidaemia, n (%)

6,139 (59.4%)

4,960 (55.2%)

1,179 (87.1%)

<0.001

Current smoker, n (%)

2,681 (25.9%)

2,295 (25.5%)

386 (28.5%)

<0.001

Chronic kidney disease, n (%)

342 (3.3%)

300 (3.3%)

42 (3.1%)

<0.001

History of myocardial infarction, n (%)

580 (5.6%)

506 (5.6%)

74 (5.5%)

<0.001

History of PCI, n (%)

1,460 (14.1%)

1,274 (14.2%)

186 (13.7%)

0.011

History of CABG, n (%)

135 (1.3%)

117 (1.3%)

18 (1.3%)

0.175

History of stroke/TIA, n (%)

663 (6.4%)

580 (6.5%)

83 (6.1%)

<0.001

Left-ventricular ejection fraction, (%)

\(59.2 \pm 8.5\)

\(60.1 \pm 6.6\)

\(56.6 \pm 9.8\)

<0.001

Serum creatinine, mg/dL\(\vphantom{0}^{-1}\)

\(1.10 \pm 1.12\)

\(1.0 \pm 1.4\)

\(1.6 \pm 2.0\)

<0.001

  1. Continuous variables are reported as mean ± SD; categorical variables as number (percentage).