• Kevin P Cohoon, Cynthia L Leibson, Jeanine E Ransom, Aneel A Ashrani, Tanya M Petterson, LongKirsten HallKH, Kent R Bailey, and Johm A Heit.
• Stabile 6-Hematology Research, Mayo Clinic, 200 First St, SW, Rochester, MN 55905. E-mail: heit.john@mayo.edu.
• Am J Manag Care. 2015 Apr 1; 21 (4): e255-63.

ObjectivesTo determine population-based estimates of medical costs attributable to venous thromboembolism (VTE) among patients currently or recently hospitalized for acute medical illness.Study DesignPopulation-based cohort study conducted in Olmsted County, Minnesota.MethodsUsing Rochester Epidemiology Project (REP) resources, we identified all Olmsted County residents with objectively diagnosed incident VTE during or within 92 days of hospitalization for acute medical illness over the 18-year period of 1988 to 2005 (n=286). One Olmsted County resident hospitalized for medical illness without VTE was matched to each case for event date (±1 year), duration of prior medical history, and active cancer status. Subjects were followed forward in REP provider-linked billing data for standardized, inflation-adjusted direct medical costs (excluding outpatient pharmaceutical costs) from 1 year before their respective event or index date to the earliest of death, emigration from Olmsted County, or December 31, 2011 (study end date). We censored follow-up such that each case and matched control had similar periods of observation. We used generalized linear modeling (controlling for age, sex, preexisting conditions, and costs 1 year before index) to predict costs for cases and controls.ResultsAdjusted mean predicted costs were 2.5-fold higher for cases ($62,838) than for controls ($24,464) (P<.001) from index to up to 5 years post index. Cost differences between cases and controls were greatest within the first 3 months after the event date (mean difference=$16,897) but costs remained significantly higher for cases compared with controls for up to 3 years.ConclusionsVTE during or after recent hospitalization for medical illness contributes a substantial economic burden.

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