Table 1.
Probability of Complications in Major Oncologic Resections for Malignant Diagnoses | |||||
---|---|---|---|---|---|
Any complication | Mechanical wound | Infection | Urinary | ||
Esophagus | 45.3% (43.8-46.9%) |
4.4% (3.9-4.4%) |
12.9% (12.0-13.7%) |
1.3% (1.0-1.6%) |
|
Stomach | 33.6% (32.8-34.5%) |
3.0% (2.7-3.2%) |
10.8% (10.4-11.2%) |
1.4% (1.2-1.6%) |
|
Colon | 24.4% (24.0-24.8%) |
1.7% (1.7-1.8%) |
5.9% (5.8-6.1%) |
1.4% (1.3-1.4%) |
|
Liver | 25.6% (24.5-26.7%) |
2.4% (2.1-2.7%) |
7.1% (6.5-7.7%) |
1.6% (1.3-1.8%) |
|
Pancreas | 34.0% (32.7-35.3%) |
3.9% (3.6-4.3%) |
12.5% (11.7-13.2%) |
1.5% (1.3-1.7%) |
|
Rectum | 24.0% (22.3-25.7%) |
2.8% (2.1-3.4%) |
5.2% (4.4-6.1%) |
2.3% (1.7-2.9%) |
|
All operations | 26.1% (25.7-26.4%) |
2.0% (1.9-2.1%) |
6.7% (6.6-6.9%) |
1.4% (1.3-1.5%) |
|
Pulmonary | Gastrointestinal | Cardiovascular | Systemic | Surgical | |
Esophagus | 21.2% (19.6-22.8%) |
11.2% (710.3-12.1%) |
9.7% (9.0-10.6%) |
1.9% (1.6-2.3%) |
6.3% (5.7-6.9%) |
Stomach | 11.0% (10.3-11.7%) |
10.3% (9.8-10.8%) |
5.9% (5.5-6.3%) |
1.7% (1.5-1.9%) |
4.5% (4.2-4.7%) |
Colon | 3.7% (3.6-3.9%) |
12.0% (11.7-12.3%) |
3.0% (2.9-3.1%) |
1.0% (1.0-1.1%) |
3.1% (3.0-3.2%) |
Liver | 6.3% (5.7-7.0%) |
9.3% (8.5-10.1%) |
3.3% (3.0-3.7%) |
1.2% (1.0-1.4%) |
4.4% (4.0-4.8%) |
Pancreas | 7.6% (7.0-8.3%) |
11.5% (10.6-12.4%) |
4.1% (3.6-4.5%) |
1.7% (1.4-1.9%) |
6.0% (5.6-6.5%) |
Rectum | 2.5% (1.8-3.1%) |
11.1% (9.9-12.4%) |
2.3% (1.8-2.9%) |
0.3% (0.1-0.5%) |
4.7% (3.9-5.5%) |
All operations | 5.0% (4.8-5.2%) |
11.6% (11.3-11.8%) |
3.5% (3.3-3.6%) |
1.1% (1.1-1.2%) |
3.5% (3.4-3.6%) |
Models accounted for potential confounding due to patient characteristics (age, sex, race/ethnicity, insurance type, median income quartile, indication, primary diagnosis, CCI, and year) and hospital-level factors (hospital volume, teaching-location, and geographical region).
Modeling used NIS-provided population weights generalized with STATA’s “svy” command to account for patient clustering within hospital-level variables and to extrapolate the sample to a nationally representative version of the US population