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©The Author(s) 2022.
World J Cardiol. Nov 26, 2022; 14(11): 565-575
Published online Nov 26, 2022. doi: 10.4330/wjc.v14.i11.565
Published online Nov 26, 2022. doi: 10.4330/wjc.v14.i11.565
Table 1 Demographics
| Characteristics | Abnormal cardiac stress test requiring cardiac catheterization and/or CABG | Degree of association (95%CI) | P value | |
| Yes, n = 245 | No, n = 2083 | |||
| Age, mean ± SD | 63.02 ± 11.67 | 61.99 ± 12.46 | Mean different: 1.03 (-0.53, 2.59) | 0.200 |
| Sex male | 153 (62.4%) | 965 (46.3%) | RR: 1.8 (1.41, 2.30) | < 0.001 |
| Race | ||||
| Caucasian | 163 (66.5%) | 1182 (56.7%) | RR: 1.8 (1.08, 3.00) | 0.020 (combined) |
| African American | 65 (26.5%) | 650 (31.2%) | RR: 1.35 (0.79, 2.32) | |
| Asian | 2 (0.8%) | 43 (2.1%) | RR: 0.66 (0.16, 2.79) | |
| Other | 15 (6.1%) | 208 (10.0%) | Reference | |
- Citation: Shafiq M, Mazzotti DR, Gibson C. Risk stratification of patients who present with chest pain and have normal troponins using a machine learning model. World J Cardiol 2022; 14(11): 565-575
- URL: https://www.wjgnet.com/1949-8462/full/v14/i11/565.htm
- DOI: https://dx.doi.org/10.4330/wjc.v14.i11.565