Table 1.
Pre-operative Demographics and Intra-operative Variables in Patients Receiving Aprotinin or Lysine Analogues
| Aprotinin(N=325) | Lysine Analogues*(N=456) | p-value | |
|---|---|---|---|
| Patient History Profile | |||
| LV Ejection Fraction (%) | 47.5 | 52.1 | 0.0001 |
| BSA (m2) | 2.0±0.26 | 2.0±0.24 | 0.92 |
| Age | 61.2±15.2 | 63.3±13.2 | 0.04 |
| Gender (M) % | 63.2 | 64.4 | 0.74 |
| Current Smoker (Y) % | 29.4 | 23.3 | 0.0004 |
| Diabetes (Y) % | 24.9 | 44.7 | <0.0001 |
| Hypercholesterolemia(Y) % | 51.3 | 61.8 | 0.003 |
| History of Renal Failure (Y)% | 7.7 | 5.2 | 0.14 |
| Chronic Obstructive Pulmonary | 12.2 | 15.1 | 0.23 |
| Disease (Y)% | |||
| Peripheral Vascular Disease ( Y)% | 12.5 | 12.1 | 0.88 |
| Cerebrovascular Disease (Y)% | 12.2 | 13.0 | 0.74 |
| Previous Myocardial Infarction (Y)% | 20.8 | 23.1 | 0.43 |
| EuroScore Mean (SD) | 7.0(3.3) | 5.3(3.1) | <0.0001 |
| Pre-operative cardiac medications | |||
| Beta Blockers (Y) % | 61.4 | 66.1 | 0.17 |
| Ace Inhibitors (Y) % | 40.7 | 16.2 | <0.0001 |
| Nitrates (Y) % | 7.4 | 9.9 | 0.22 |
| AntiArrythmics (Y) % | 11.9 | 8.6 | 0.13 |
| Antiplatelet (Y) % | 3.6 | 5.4 | 0.22 |
| Diuretic (Y) % | 19.0 | 6.5 | <0.0001 |
| Inotropes (Y )% | 7.1 | 2.2 | 0.0006 |
| Steroids (Y )% | 5.3 | 5.2 | 0.92 |
| Aspirin (Y) % | 47.5 | 27.4 | <0.0001 |
| Anticoagulant (Y) % | 42.1 | 57.9 | 0.73 |
| Procedure Type | <0.0001 | ||
| CABG (%) | 41.2 | 65.8 | |
| Valve (%) | 41.9 | 27.2 | |
| Transplant/Other (%) | 16.9 | 7.0 | |
| Intra/Post Operative Profile | |||
| Cardiopulmonary Bypass Time (min) | 144.6±63.0 | 111.4±53.8 | <0.0001 |
| Cross Clamp Time (min) | 92.1±34.9* | 79.7±39.0 | <0.0001 |
| Total Length of Stay (days) | 9 [6, 12] | 8 [5, 12] | 0.002 |
| Post operative Length of Stay (days) | 7 [5, 10] | 6 [5. 9] | 0.005 |
*
-Lysine Analogues: tranexamic acid or aminocaproic acid. Values presented as mean+/− standard deviation or percent. Length of stay presented as median value [interquartile range]. P-values computed from t-tests (with Satterthwaite approximation) for mean values, chi-Square for frequencies, and Wilcoxon Rank sum for length of stay.