Research Article
Prediction of Length of Stay Following Elective Percutaneous Coronary Intervention
Table 2
Distribution of covariates by data set.
| Covariate | Learning (%) (N = 67766) | Testing (%) (N = 79545) |
| Age (Years) | 64.1 (11.8)* | 64.7 (11.8) | Body mass index | 28.7 (5.4)* | 28.9 (5.6) | Women | 32.1% | 32.6% | White | 86.9% | 83.2% | Black | 6.5% | 7.3% | Other | 6.6% | 9.6% | Hispanic | 6.5% | 7.3% | Current smoker | 16.7% | 16.9% | Diabetes mellitus | 25.8% | 28.6% | Hypertension | 71.0% | 76.2% | Heart failure | 5.5% | 5.5% | Vascular disease | 8.9% | 9.4% | Renal failure (including dialysis) | 2.3% | 2.8% | Chronic lung disease | 5.3% | 6.1% | Malignant ventricular arrhythmias | 1.4% | 0.8% | Prior myocardial infarction | 6.9% | 6.9% | Prior percutaneous coronary intervention | 30.6% | 35.3% | Prior open heart surgery | 18.0% | 19.7% | Previous stroke | 4.0% | 4.3% | Left Main disease | 2.7% | 2.9% | Multivessel coronary disease | 46.0% | 47.0% |
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*Age and body mass index are presented as mean (SD).
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