We used two methods to estimate the mean cost of a hospital stay for each group. In the first costing method, we estimated average cost of a hospital stay with infectious complications and average cost of a hospital stay without infectious complications for elective GI cancer surgical patients, using the 2008 HCUP NIS data. We then applied these estimated costs to the number of patients with and without infectious complications in the immunonutrition and control groups to estimate the mean hospital cost per stay for each group. In the second costing method, we multiplied the mean length of stay for each group by the mean cost per day in hospital for all elective GI cancer surgical patients in the 2008 HCUP NIS. The methods for estimating the hospital cost per stay and hospital cost per day used in this analysis are described in detail below.
Database description, conversion of charges to costs, and identification of GI cancer surgery patients and infectious complications
Nationally representative inpatient discharge data were used to estimate hospital costs per stay and per day for patients with a diagnosis of gastrointestinal cancer. Data for this analysis were taken from the 2008 HCUP NIS, a stratified sample of hospitals drawn from the subset of hospitals in the United States (US) that make their data available to HCUP[
10,
11]. The NIS is the largest, all-payer inpatient care database in the US and contains data from approximately eight million hospital stays in 2008. The database contains clinical and resource use information typically included in discharge abstracts, including patient demographics, International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis and procedure codes, length of stay, charges incurred, discharge status, admission type and source, and hospital-specific characteristics. Survey design elements provided with the NIS allow for generating nationally representative estimates. We converted hospital charges to costs by applying facility-specific cost-to-charge ratios, provided by HCUP, and then adjusted all costs to 2010 US dollars using the medical care component of the Consumer Price Index. All analyses were conducted using SAS statistical software (SAS®, Cary, North Carolina, US); survey procedures (that is, PROC SURVEYMEANS and SURVEYREG) were used to account for the complex survey design of the NIS.
As the NIS contains information on the type of admission (e.g., emergency, urgent, elective) associated with each unique hospital stay, we first identified all inpatient stays that were classified as an elective admission. We next identified stays with evidence of upper or lower gastrointestinal cancer (all subcategories) using specific ICD-9-CM diagnosis codes (150.xx, 151.xx, 152.xx, 153.xx, 154.xx, 157.xx, 158.xx, and 159.xx) that also had upper or lower gastrointestinal surgery as identified by ICD-9-CM procedure codes 42.xx, 43.xx, 45.7x, 45.8, 46.xx, 47.xx, 48.xx, 49.0, 49.1, 49.3 and 52.xx.
ICD-9-CM diagnosis codes were used to identify those patients who experienced one or more of the following infectious complications: wound infection, ICD-9-CM codes 031.xx (diseases due to other mycobacteria) and 039.xx-041.xx (actinomycotic infections, other bacterial diseases, and bacterial infection in conditions classified elsewhere); abdominal abscess, ICD-9-CM codes 567.22 (peritoneal abscess) and 998.59 (other postoperative infection, abscess); pneumonia, ICD-9-CM codes 480.xx-485.xx (viral pneumonia; pneumococcal pneumonia; other bacterial pneumonia; pneumonia due to other specified organism; bronchopneumonia, organism unspecified; and pneumonia, organism unspecified); urinary tract infection, ICD-9-CM code 599.0 (urinary tract infection, unspecified/pyuria); sepsis and septicemia, ICD-9-CM-codes 995.91 (systemic inflammatory response syndrome due to infectious process without organ dysfunction) and 038.xx (infectious organisms in the bloodstream); and anastomotic leak, ICD-9-CM code 997.4 (digestive system complications not elsewhere classified including intestinal internal anastomosis and bypass).
Estimation of average cost per day in the hospital and average cost per stay in the Hospital for those with and without complications
To compute the average cost per day in the hospital for the patient population of interest, the cost per stay was divided by the length of stay for each patient, and the mean average cost per day was computed for the patient population of interest, those with an elective admission for upper or lower gastrointestinal cancer surgery. For the sensitivity analyses, average costs per day were also estimated separately for those having upper GI cancer surgery and for those having lower GI cancer surgery. Patients having procedure codes for both upper and lower GI cancer surgery were included in both analyses.
To compute the average cost per stay in the hospital for those with and without complications, the 2008 HCUP NIS patients with elective surgery for GI cancer were subdivided into either those with or without at least one of the ICD-9-CM codes for infectious complications listed above or those with and without infectious or other digestive complications including anastomosis and bypass and the average cost per hospital stay estimated for each population subgroup. These estimates were also generated for the infectious complications subgroups for the upper GI and lower GI populations separately.
Estimation of impact of immunonutrition formulas on hospital costs
The cost savings per patient associated with nutrition support with immunonutrition formulas were calculated using two different methods: (1) multiplying the Waitzberg and colleagues[
4] estimated reduction in length of stay per patient by the average cost per day in the hospital and (2) using the following formula to estimate the mean hospital cost per patient for each treatment group and computing the difference between the groups: (cost per stay with no infectious complications × percentage with no infectious complications) + (cost per stay with infectious complications × percentage with at least one infectious complication). Both of these calculations allowed for a single patient to experience more than one infectious complication.
Average selling prices for immunonutrition were obtained from Nestlé HealthCare Nutrition. The costs for perioperative immunonutrition were calculated as follows: three servings of oral supplement for five days before surgery at $29 per day and one liter of enteral formula per day for seven days after surgery at $36 per day. The cost of standard nutrition was not considered in the analysis.