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Table 1 Baseline characteristics of experimental ACS dataset

From: Treatment effect prediction with adversarial deep learning using electronic health records

Characteristics

No. of participants (n = 2930)

MACE

(n = 752)

Non-MACE (n = 2178)

P-value

Age (years), mean (SD)

62.27 ± 12.11

67.12 ± 11.95

60.60 ± 11.71

<  0.001

Female sex (T/F)

2080/850

528/225

1552/625

0.573

Hypertension (T/F)

1981/949

537/215

1444/734

0.011

Diabetes mellitus (T/F)

1986/803

482/224

1504/439

<  0.001

Hypercholesterolemia (T/F)

2362/568

623/129

1739/439

0.082

Previous PCI (T/F)

816/2114

214/538

602/1576

0.701

Previous CABG (T/F)

86/2844

38/714

48/2130

<  0.001

ST-segment elevations ECG (T/F)

106/2824

27/725

79/2099

0.947

BMI (kg/m2), mean (SD)

25.90 ± 11.30

25.50 ± 12.73

26.03 ± 10.76

0.333

CCR (ml/min/ m2), mean (SD)

78.73 ± 38.19

85.36 ± 48.30

76.41 ± 33.65

<  0.001

CKMB (umol/L), mean (SD)

9.49 ± 14.95

9.30 ± 11.45

9.56 ± 16.09

0.715

Treatment

 Coronary angiography (T/F)

993/1937

270/482

723/1455

0.191

 Nitroglycerin (T/F)

904/2026

292/460

612/1566

<  0.001

 Vasodilator (T/F)

951/1979

305/447

646/1532

<  0.001

 Antihypertensive therapy (T/F)

1375/1555

385/367

990/1188

<  0.001

 Hypoglycemic therapy (T/F)

451/2479

127/625

324/1854

0.208

 Lipid lowering therapy (T/F)

511/2419

129/623

382/1796

0.854

 Blood transfusion (T/F)

91/2839

28/724

63/2115

0.312

 Quick-acting rescue (T/F)

796/2134

236/516

560/1618

<  0.001

 Aspirin (T/F)

730/2200

204/548

526/1652

0.114

 Antiarrhythmia (T/F)

114/2816

45/707

69/2109

<  0.001

 Anti-angina (T/F)

1216/1714

376/376

840/1338

<  0.001

 Antiplatelet (T/F)

933/1997

255/497

678/1500

0.172

  1. BMI: body mass index; CABG: coronary artery bypass grafting; CCR: Creatinine clearance; CKMB: creatine kinase MB; ECG: electrocardiogram; PCI: percutaneous coronary intervention; SD: standard deviation