Table 4.
Variable | Mortality Model OR (95% CI) | p | Major Morbidity Model OR (95% CI) | p | Composite Model (Mortality or Major Morbidity) OR (95% CI) | p |
---|---|---|---|---|---|---|
| ||||||
Age (10 year increase) | 1.64 (1.44, 1.87) | <0.001 | 1.13 (1.08, 1.19) | <0.001 | 1.14 (1.08, 1.90) | <0.001 |
| ||||||
Male gender | 1.54 (1.23, 1.92) | <0.001 | 1.39 (1.28, 1.52) | <0.001 | 1.41 (1.29, 1.53) | <0.001 |
| ||||||
BMI (kg/m2) | 0.006 | <0.001 | <0.001 | |||
≥18.5 to <25 | 1.00 | 1.00 | 1.00 | |||
≥6.0 to <18.5 | 1.44 (0.85, 2.44) | 1.33 (1.07, 1.65) | 1.35 (1.09, 1.66) | |||
≥25.0 to <30.0 | 0.96 (0.75, 1.22) | 0.83 (0.75, 0.91) | 0.83 (0.75, 0.92) | |||
≥30.0 to <35.0 | 0.61 (0.43, 0.85) | 0.72 (0.64, 0.82) | 0.72 (0.63, 0.82) | |||
≥35.0 to ≤99.9 | 1.17 (0.82, 1.67) | 0.81 (0.69, 0.96) | 0.83 (0.71, 0.97) | |||
| ||||||
Hypertension | 0.93 (0.73, 1.17) | 0.51 | 1.08 (0.98, 1.19) | 0.12 | 1.06 (0.96, 1.16) | 0.25 |
| ||||||
Steroids | 1.72 (1.14, 2.60) | 0.01 | 1.28 (1.05, 1.57) | 0.017 | 1.33 (1.09, 1.62) | 0.005 |
| ||||||
CHF | 1.51 (1.01, 2.25) | 0.046 | 1.17 (0.95, 1.44) | 0.15 | 1.19 (0.97, 1.46) | 0.10 |
| ||||||
CAD | 1.32 (1.05, 1.67) | 0.019 | 1.13 (1.02, 1.25) | 0.022 | 1.14 (1.03, 1.26) | 0.011 |
| ||||||
PVD | 1.49 (1.13, 1.96) | 0.005 | 1.43 (1.26, 1.62) | <0.001 | 1.43 (1.26, 1.63) | <0.001 |
| ||||||
Reoperation | 1.38 (1.00, 1.94) | 0.052 | 1.35 (1.16, 1.58) | <0.001 | 1.32 (1.13, 1.54) | <0.001 |
| ||||||
Cerebrovascular disease | 1.42 (1.05, 1.90) | 0.021 | 1.08 (0.94, 1.24) | 0.29 | 1.11 (0.97, 1.28) | 0.14 |
| ||||||
Diabetes | 1.08 (0.85, 1.39) | 0.53 | 1.01 (0.90, 1.12) | 0.93 | 1.01 (0.91, 1.13) | 0.84 |
| ||||||
% FEV1 (10% decrease) | 1.07 (1.01, 1.12) | 0.02 | 1.13 (1.10, 1.15) | <0.001 | 1.12 (1.10, 1.15) | <0.001 |
| ||||||
Induction therapy | 1.51 (1.09, 2.10) | 0.014 | 1.20 (1.02, 1.40) | 0.024 | 1.20 (1.03, 1.39) | 0.022 |
| ||||||
Renal dysfunction | 1.74 (1.06, 2.86) | 0.029 | 1.07 (0.81, 1.42) | 0.64 | 1.11 (0.84, 1.46) | 0.47 |
| ||||||
Cigarette smoking | 0.14 | <0.001 | <0.001 | |||
Never | 1.00 | 1.00 | 1.00 | |||
Past smoker | 1.54 (1.00, 2.38) | 1.20 (1.02, 1.41) | 1.23 (1.05, 1.44) | |||
Current smoker | 1.54 (0.96, 2.49) | 1.64 (1.38, 1.94) | 1.64 (1.38, 1.94) | |||
| ||||||
Zubrod score | <0.001 | <0.001 | <0.001 | |||
0 | 1.00 | 1.00 | 1.00 | |||
1 | 1.60 (1.25, 2.04) | 1.14 (1.04, 1.25) | 1.16 (1.06, 1.28) | |||
2-5 | 2.21 (1.45, 3.37) | 1.57 (1.29, 1.91) | 1.60 (1.32, 1.95) | |||
| ||||||
ASA | 0.007 | <0.001 | <0.001 | |||
1 or 2 | 1.00 | 1.00 | 1.00 | |||
3 | 1.67 (1.05, 2.65) | 1.25 (1.08, 1.45) | 1.27 (1.09, 1.47) | |||
4 or 5 | 2.26 (1.34, 3.80) | 1.72 (1.42, 2.09) | 1.76 (1.45, 2.13) | |||
| ||||||
Approach | <0.001 | <0.001 | <0.001 | |||
MIS | 1.00 | 1.00 | 1.00 | |||
Thoracotomy | 1.87 (1.49, 2.36) | 1.49 (1.35, 1.64) | 1.51 (1.37, 1.66) | |||
| ||||||
Pathologic stage | 0.008 | 0.30 | 0.25 | |||
I | 1.00 | 1.00 | 1.00 | |||
II | 1.15 (0.89, 1.48) | 1.07 (0.96, 1.19) | 1.05 (0.95, 1.17) | |||
III | 1.46 (1.10, 1.96) | 1.13 (0.99, 1.29) | 1.14 (1.00, 1.30) | |||
IV | 2.23 (1.23, 4.02) | 1.01 (0.73, 1.40) | 1.04 (0.75, 1.42) | |||
| ||||||
Procedure | <0.001 | <0.001 | <0.001 | |||
Wedge | 1.00 | 1.00 | 1.00 | |||
Segmentectomy | 0.98 (0.51, 1.88) | 1.19 (0.93, 1.53) | 1.24 (0.97, 1.57) | |||
Lobectomy | 1.69 (1.14, 2.53) | 1.96 (1.67, 2.30) | 1.93 (1.65, 2.26) | |||
Sleeve | 1.72 (0.72, 4.09) | 1.93 (1.36, 2.75) | 1.96 (1.39, 2.77) | |||
Bilobectomy | 3.57 (2.09, 6.12) | 2.98 (2.34, 3.80) | 2.91 (2.29, 3.70) | |||
Pneumonectomy | 4.80 (2.87, 8.02) | 2.74 (2.15, 3.48) | 2.83 (2.24, 3.58) | |||
| ||||||
C statistic | 0.78 | 0.68 | 0.68 |
ASA = American Society of Anesthesiologists; BMI = body mass index; CAD = coronary artery disease; CHF = congestive heart failure; CI = confidence interval; FEV1 = force expiratory volume in first second of expiration; MIS = minimally invasive surgery; OR = odds ratio; PVD = peripheral vascular disease.
Intercept values for the models are -10.822 for Mortality, -5.651 for Major Morbidity, and -5.657 for Composite, respectively. Covariate specific coefficients can be obtained by taking natural logarithm of the odds ratios.