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. Author manuscript; available in PMC: 2021 Sep 1.
Published in final edited form as: Mayo Clin Proc. 2020 Sep;95(9):1865–1876. doi: 10.1016/j.mayocp.2020.05.044

Table 3:

Propensity matched (1 cancer: 2 non-cancer, model 2) in-hospital and disposition outcome of those undergoing CABG from the years 2012- September 2015 in colon cancer, and prostate cancer. The propensity matching was done on variables of age, gender, race, income quartiles, insurance, total Elixhauser’s comorbidities, hospital size and geographic region, discharge weight and comorbidities of atrial fibrillation, hypertension, diabetes, anemia, chronic renal disease and coagulation disorder. C-statistic for propensity fit was 0.7 indicative of good match. For prostate cancer gender was not used since all patient with prostate cancer were male.

Variable Colon Cancer (n = 3,930) Matched Non-Cancer (n = 7,865) P-value Prostate Cancer (n = 14,335) Matched Non-Cancer (n = 28,675) P-value
In-Hospital Outcomes (%)
   In-hospital mortality .6 1.2 .19 3.9 .9 .01
   Major bleeding 15.9 12.9 .053 14.8 14.2 .45
   Ischemic Stroke 1.5 2.6 .08 1.1 2.0 .003
   Pulmonary complications 7.0 10.2 .01 7.7 9.9 .001
   Cardiac complications 11.6 12.1 .69 12.0 12.4 .58
   Length of stay (median ± confidence interval, days) 6.8±.1 7.2±.1 <.001 a 6.8±.1 7.1±.1 <.001 a
   Total hospital costs (median ± confidence interval, US$) b  33,014±637  32,793±501 .63 a  33,380±378  34,099±312 <.001 a
Disposition (%) .50 .25
   Home 35.9 35.5 37.0 37.5
   Short term hospital 1.2 .6 .4 .8
   Skilled care facility 26.0 25.2 23.4 23.9
   Home health care 36.9 38.7 39.2 37.8
a

Log transformed means were compared using Survey specific linear regression due to skewed nature of data

b

Using HCUP cost-to-charge, wage index adjustment along with inflation adjustment