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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 2:

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 breast cancer and lung 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 for both cohort’s indicative of good match. In breast cancer gender was not used for matching since >99.7% cases were female.

Variable Breast Cancer (n = 5,000) Matched Non-Cancer (n = 10,000) P-value Lung Cancer (n=2,295) Matched Non-Cancer (n = 4,600) P-value
In-Hospital Outcomes (%)
   In-hospital mortality 1.3 .9 .31 1.3 1.3 >.99
   Major bleeding 20.6 13.9 <.001 16.5 13.8 .19
   Ischemic Stroke 2.6 2.3 .56 2.0 1.4 .43
   Pulmonary complications 9.5 9.1 .69 11.8 9.2 .14
   Cardiac complications 9.1 10.3 .31 11.1 11.6 .77
   Length of stay (median ± confidence interval, days) 7.5±.1 7.2±.1 .22a 7.2±.2 7.3±.1 .49 a
   Total hospital costs (median ± confidence interval, US$) b  34,219±699  33,713±467 .24a  34,483±697  32,163±721 .04 a
Disposition (%) <.001 .47
   Home 30.0 37.1 33.3 37.0
   Short term hospital .4 .7 1.3 .8
   Skilled care facility 33.7 26.3 26.8 25.6
   Home health care 35.9 35.9 38.6 36.6
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