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 |
Log transformed means were compared using Survey specific linear regression due to skewed nature of data
Using HCUP cost-to-charge, wage index adjustment along with inflation adjustment