Table 2 Mutlviariable Cox regression analysis for 1-year all-cause mortality after CABG
Variable | Multivariable model | P-value |
|---|---|---|
HR (95% CI) | ||
CRRT | 7.69 (6.54, 9.05) | < 0.001 |
Age, year | 1.06 (1.05, 1.07) | < 0.001 |
Sex, Male | 1.07 (0.95, 1.20) | 0.258 |
Residence at CABG | ||
Capital city Capital city | 1 | |
Other metropolitan city | 1.00 (0.85, 1.19) | 0.977 |
Other area | 1.05 (0.91, 1.20) | 0.525 |
Economic status at CABG | ||
Q1 | 1 | |
Q2 | 1.07 (0.90, 1.26) | 0.460 |
Q3 | 0.99 (0.83, 1.17) | 0.880 |
Q4 | 0.93 (0.80, 1.09) | 0.356 |
Total hospital bed number | ||
Q1 ≤ 904 | 1 | |
905 ≤ Q2 ≤ 1119 | 1.07 (0.93, 1.22) | 0.369 |
1120 ≤ Q3 ≤ 2413 | 0.99 (0.83, 1.17) | 0.880 |
2414 ≤ Q4 | 0.93 (0.80, 1.09) | 0.356 |
Charlson comorbidity index at CABG | ||
0–3 | 1 | |
4–5 | 0.98 (0.82, 1.17) | 0.832 |
≥ 6 | 1.22 (1.04, 1.43) | 0.014 |
Urgent or Emergency CABG | 0.96 (0.83, 1.10) | 0.521 |
Intraoperative CPB use | ||
Off Pump CABG | 1 | |
On Pump CABG | 1.95 (1.73, 2.19) | < 0.001 |
The number of coronary artery graft The number of coronary artery graft | ||
1 | 1 | |
≥ 2 | 0.69 (0.61, 0.78) | < 0.001 |
The year of CABG | ||
2012 | 1 | |
2013 | 0.98 (0.81, 1.17) | 0.786 |
2014 | 0.86 (0.71, 1.03) | 0.104 |
2015 | 0.83 (0.70, 1.00) | 0.044 |
2016 | 0.83 (0.70, 0.99) | 0.038 |
2017 | 0.78 (0.64, 0.95) | 0.015 |