Research Article
All-Cause Death Prediction Method for CHD Based on Graph Convolutional Networks
Table 1
Basic information of postoperative patients obtained through follow-up from 2016 to 2021.
| Parameters | Before processing (n = 5764) | After processing (n = 2702) |
| Age (years) | 65 (57–72) | 65 (57–72) | Sex (M/F) | 4703 (81.6%) | 2207 (81.7%) | BMI | 24.4 (23.0–25.6) | 24.0 (22.7–26.0) | Smoking | 1618/5337 (30.3%) | 1171/2679 (43.3%) | Diabetes | 1600/5301 (30.2%) | 794/2650 (30.0%) | Hypertension | 2852/5332 (53.5%) | 1141/2683 (42.5%) | History of renal insufficiency | 63/5309 (1.2%) | 26/2673 (1.0%) | Heart rate | 69.7 (62.0–76.0) | 68 (61.0–76.0) | E ′wave rate | 0.06 (0.05–0.14) | 0.06 (0.04–0.07) | Left ventricular ejection fraction | 59.6 (56.1–66.5) | 63.3 (55.1–68.6) | Left ventricular mass index | 110.7 (99.0–113.8) | 103.4 (86.5–121.0) | Total cholesterol | 4.27 (3.43–4.80) | 3.95 (3.24–4.85) | Low-density lipoprotein | 2.74 (1.98–3.27) | 2.48 (1.85–3.28) | Triglycerides | 1.57 (1.10–2.54) | 1.43 (1.03–2.00) | NT-proBNP | 351 (77–866) | 129 (37–538) | Apolipoprotein A | 1.21 (1.05–1.40) | 1.19 (1.04–1.33) | Statins | 4104/5265 (77.9%) | 2099/2670 (78.6%) | Spironolactone | 621/4796 (12.9%) | 252/2626 (9.6%) | Aspirin | 5113/5194 (98.4%) | 2617/2664 (98.2%) |
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