70.15 Defining the Burden of Rectal Cancer: A Population Study

D. Hayden1, M. Ostrowski2, T. Markossian3, J. Eberhardt1, T. Saclarides1  1Loyola University Medical Center,Department of General Surgery,Maywood, Illinois, USA 2Loyola University Medical Center,Stritch School Of Medicine,Maywood, Illinois, USA 3Loyola University Medical Center,Department Of Public Health Sciences,Maywood, Illinois, USA

Introduction:  The treatment course of rectal cancer is long and wrought with morbidity.  The burden of this disease is underappreciated and impacts patients, their families and the health care system.

Methods:  Secondary analysis of the 2011 National Inpatient Sample was performed using the ICD-9CM codes for rectal cancer, most common secondary diagnoses and co-morbidities. 

Results: For the 24,575 rectal cancer discharges in 2011, mean age was 64.2 (17-99); 58.1% were male.  69.8% were white, 9.3% black, 7.7% Hispanic and 2.8% Asian/Pacific Islander.  5.6% were obese and 3.1% morbidly obese.  Most common comorbidity listed as the secondary diagnosis was hypertension (4.6%).  50.6% of patients resided in or near metropolitan areas with population ≥ 1 million; 16.5% from those 250,000-999,999, 9.7% from those 50,000-249,999 and 11.3% from micropolitan areas.  Inpatient admissions seemed to be evenly distributed across income quartiles. Medicare (46.5%) and private insurance (36.8%) were most common; Medicaid accounted for 9.3% of payer distribution and 3.8% was self-pay.  Admissions were most frequently elective (72.4%).  Mean length of stay was 7.42 (0-277) days.  47.8% of patients were discharged home; 35.4% required home health nursing; 13.9% were transferred to rehab or skilled nursing. 2.4% of patients died during the hospital admission.  For the obese and morbidly obese rectal cancer patients, LOS was increased: 8.27 days (0-64), were younger 60.4 (27-89), higher percentage were white (74.0%) and more had private insurance (48.6%, all p=0.00).    

Conclusion: Rectal cancer impacts patients and the health care system due to lengthy hospitalizations and postoperative healthcare utilization of home health nursing and short-term facilities. Obesity and related comorbidities contribute to poorer outcomes; however, lifestyle interventions at diagnosis may decrease this burden.