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. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: J Gastrointest Surg. 2018 Jun 26;22(11):1976–1986. doi: 10.1007/s11605-018-3850-6

Table 1.

Risk-adjusted probability of system-based complications (95%CI)A,B

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%)
A

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).

B

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