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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 3.

Risk-adjusted predicted mean incremental complication costs (95%CI) in 2017 USDA,B (independent of other included complications)

Cost of Major Oncologic Resections for Corresponding Malignant Diagnosis

No complication Any complication Mechanical wound Infection Urinary
 (base value) (incremental cost) (incremental cost) (incremental cost) (incremental cost)
Esophagus $41,965.52
($39,600-44,400)
$40,373.00
($37,400-43,400)
p<0.001
$24,567.81
($19,900-29,300)
p<0.001
$46,583.13
($42,100-51,100)
p<0.001
$10,137.61
($0-23,600)
p=0.140
Stomach $31,294.51
($30,400-32,200)
$34,327.54
($32,400-36,300)
p<0.001
$18,974.45
($15,700-22,300)
p<0.001
$32,655.44
($30,600-34,700)
p<0.001
$3,270.68
($0-7,000)
p=0.087
Colon $19,134.92
($18,900-19,400)
$15,486.34
($15,100-15,900)
p<0.001
$11,810.92
($11,100-12,500)
p<0.001
$17,452.93
($17,000-17,900)
p<0.001
$3,124.35
($2,400-3,800)
p<0.001
Liver $24,545.76
($23,600-25,500)
$28,084.65
($25,800-30,400)
p<0.001
$14,039.63
($10,700-17,400)
p<0.001
$26,998.96
($24,600-29,400)
p<0.001
$8,028.56
($3,500-12,500)
p<0.001
Pancreas $34,948.59
($33,700-36,100)
$29,955.04
$28,100-31,800)
p<0.001
$16,828.88
($13,700-20,000)
p<0.001
$29,338.55
($27,100-31,600)
p<0.001
$8,630.08
($3,600-13,600)
p=0.001
Rectum $22,389.27
($21,700-23,000)
$12,738.36
($10,700-14,700)
p<0.001
$10.458.97
($6,900-14,100)
p<0.001
$14,209.97
($11,400-17,000)
p<0.001
$1,219.58
($0-4,600)
p=0.474
All
operations
$21,438.63
($21,000-21,700)
$20,889.63
($20,300-21,500)
p<0.001
$13,632.87
($12,900-14,300)
p<0.001
$21,640.12
($21,000-22,200)
p<0.001
$3,514.51
($2,700-4,400)
p<0.001

Pulmonary Gastrointestinal Cardiovascular Systemic Surgical

(incremental cost) (incremental cost) (incremental cost) (incremental cost) (incremental cost)
Esophagus $21,744.40
($18,600-24,900)
p<0.001
$18,521.98
($14,800-22,300)
p<0.001
$9,376.70
($6,000-12,700)
p=0.001
$13,293.32
($3,400-23,200)
p=0.009
$10,733.90
($6,500-15,000)
p<0.001
Stomach $21,393.14
($19,700-23,100)
p<0.001
$14,798.45
($13,100-16,500)
p<0.001
$11,201.20
($9,100-13,300)
p<0.001
$8,730.07
($5,500-11,900)
p<0.001
$9,410.60
($7,200-11,600)
p<0.001
Colon $11,890.64
($11,400-12,400)
p<0.001
$5,958.92
($5,700-6,300)
p<0.001
$7,778.60
($7,300-8,300)
p<0.001
$4,699.68
($3,800-5,600)
p<0.001
$6,823.41
($6,300-7,300)
p<0.001
Liver $17,749.46
($15,100-20.400)
p<0.001
$9,207.44
($7,600-10,800)
p<0.001
$9,334.82
($7,100-11,600)
p<0.001
$3,805.61
($100-7,600)
p=0.048
$14,062.81
($11,500-16,600)
p<0.001
Pancreas $18,494.55
($16,100-20,900)
p<0.001
$10,733.72
($8,900-12,600)
p<0.001
$9,509.78
($6,900-12,100)
p<0.001
$3,858.17
($0-8,000)
p=0.068
$15,148.29
($12,800-17,500)
p<0.001
Rectum $4,870.77
($1,100-8,700)
p=0.012
$5,575.90
($3,900-7,300)
p<0.001
$10,375.04
($4,100-16,600)
p=0.001
$2,878.68
($0-11,600)
p=0.517
$8.094.11
($4,700-11,500)
p<0.001
All
operations
$16,809.14
($16,200-17,400)
p<0.001
$6,713.84
($6,300-10,300)
p<0.001
$9,733.42
($9,200-10,300)
p<0.001
$6,326.87
($5,400-7,300)
p<0.001
$9,009.16
(8,500-9,500)
p<0.001
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). Calculation of incremental additions also accounted for the potential influence of multiple complications by adjusting for the occurrence of all other complications to yield isolated, complication-specific effects.

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. Predicted mean differences were calculated using post-estimation marginal effects following GLM with link log, family gamma, to account for the highly-skewed nature of the data.