Research Article

Prediction of Length of Stay Following Elective Percutaneous Coronary Intervention

Table 2

Distribution of covariates by data set.

CovariateLearning (%)
(N = 67766)
Testing (%)
(N = 79545)

Age (Years)64.1 (11.8)*64.7 (11.8)
Body mass index28.7 (5.4)*28.9 (5.6)
Women32.1%32.6%
White86.9%83.2%
Black6.5%7.3%
Other6.6%9.6%
Hispanic6.5%7.3%
Current smoker16.7%16.9%
Diabetes mellitus25.8%28.6%
Hypertension71.0%76.2%
Heart failure5.5%5.5%
Vascular disease8.9%9.4%
Renal failure
(including dialysis)
2.3%2.8%
Chronic lung disease5.3%6.1%
Malignant ventricular arrhythmias1.4%0.8%
Prior myocardial infarction6.9%6.9%
Prior percutaneous coronary intervention30.6%35.3%
Prior open heart surgery18.0%19.7%
Previous stroke4.0%4.3%
Left Main disease2.7%2.9%
Multivessel coronary disease46.0%47.0%

*Age and body mass index are presented as mean (SD).