Research Article
A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging
Table 1
Clinical characteristics of cohort according to MPI outcome.
| | Normal () | Ischemic () | value |
| Age, (%) | | | <0.001 | <55 | 777 (39) | 84 (17) | | 55-65 | 603 (30) | 146 (29) | | >65 | 622 (31) | 271 (54) | | Male gender, (%) | 881 (44) | 334 (67) | <0.001 | Body mass index ≥30, (%) | 1024 (51) | 258 (52) | 0.93 | Chest pain, (%) | | | <0.001 | Typical | 678 (34) | 114 (23) | | Atypical | 256 (13) | 87 (17) | | Noncardiac | 1068 (53) | 300 (60) | | Diabetes, (%) | 479 (24) | 187 (37) | <0.001 | Dyspnea, (%) | 446 (22) | 139 (28) | <0.05 | Family history of CAD, (%) | 945 (47) | 199 (40) | <0.005 | Hypertension, (%) | 1361 (68) | 401 (80) | <0.005 | Hyperlipidemia, (%) | 1210 (60) | 343 (69) | <0.005 | Smoking, (%) | 557 (28) | 144 (29) | 0.72 | Diagnostic question, (%)§ | | | <0.001 | Diagnostic evaluation | 1642 (82) | 370 (74) | | Presurgery evaluation | 360 (18) | 131 (26) | |
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Considering noncardiac patients as the reference. §Considering diagnostic evaluation patients as the reference. |