Reducing Cost and Complexity of Fecal Microbiota Transplantation Using Universal Donors for Recurrent Clostridium difficile Infection.

Fecal microbiota transplantation resolves recurrent Clostridium difficile infections in greater than 82% of patients. Highly screened, processed universal donor fecal material is available. We compared cost and scheduling efficiency of fecal microbiota transplantation by universal donors to patient-directed donors. Medical records from a prospectively maintained database of recurrent C. difficile patients who underwent fecal microbiota transplantation between 2012 and 2017 were reviewed retrospectively. Patient-directed donor stool was prepared in our microbiology laboratory using protocol-based screening. We transitioned to purchasing and using universal donor fecal material in 2015. Clinical outcomes, adverse events, time between consult to infusion, consultation fees, and material costs were compared. This was a retrospective comparison of two historical cohorts. A total of 111 fecal microbiota transplantations were performed on 105 patients (56 from patient-directed donors and 55 from universal donors). Median recipient age was 66 years (18-96) with male to female ratio of 1:2.7, equivalent in both cohorts. Total consultation fees were significantly lower in the universal donor group owing to fewer infectious disease consultations. Costs for donor screening and stool preparation were lower in the universal donor cohort ($485.0 vs. $1189.90 ± 541.4, p < 0.001, 95% CI 559.9-849.9). Time from consultations to infusion was shorter in the universal donor cohort (18.9 ± 19.1 vs. 36.4 ± 23.3 days, p < 0.001, 95% CI 9.521-25.591). Recurrences within 8 weeks after fecal microbiota transplantation were equivalent (p = 0.354). Adverse events were equivalent. Fecal microbiota transplantation using universal donors versus patient-directed donors for recurrent C. difficile showed comparable efficacy and short-term complications. The use of universal donors resulted in significant cost savings and scheduling efficiency.