Review Article
Investigation on Cardiovascular Risk Prediction Using Physiological Parameters
Table 2
Sample of cohort studies reporting the independent predictive values of stress ECG measures.
| Markers | Population characteristics (no.) | Age (y) at entry | Followup (y) | Covariates | End events (no.) | Model based | Prognostic value | Discrimination, calibration, and reclassification | Reference |
| Chronotropic response < 89 bpm | Men in Paris civil service (5713) |
42–53 |
23 |
Non | Sudden death from MI (81) |
Cox model | RR = 6.18 | NR |
[88] | heart rate recovery < 25 bpm | RR = 2.20 | NR |
| ECG score (75th versus 25th percentile) | Patients without known CV disease (18964) |
51 (mean) | 10.7 | Age, sex, smoking, diabetes, hypertension, and so forth. | All-cause mortality (1585) | Cox model | HR = 1.36 | C index = 0.84, increased by 0.04 compared with established risk factors | [83] |
| Duke treadmill score | Patients with suspected CAD and normal ECG (33268) |
52 |
6.2 |
Non | All-cause mortality (1619) |
nomogram-illustrated model | NR | C index = 0.73 |
[89] | nomogram-illustrated model | NR | C index = 0.83 |
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NR: not report; CAD: coronary artery disease; CV: cardiovascular.
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