Economic and Chronologic Optimization of Fecal Donors Screening Process

Abstract

Background. Fecal microbial transplantation (FMT) is the delivery of fecal microbiome, isolated from healthy donors, into a patient’s gastrointestinal tract. FMT is a safe and efficient treatment for recurrent Clostridioides difficile infection. Donors undergo strict screening to avoid disease transmission. This consists of several blood and stool tests, which are performed in a multistage, costly process. We performed a cost-minimizing analysis to find the optimal order in which the tests should be performed. Methods. An algorithm to optimize the order of tests in terms of cost was defined. Performance analysis for disqualifying a potential healthy donor was carried out on data sets based on either the published literature or our real-life data. For both data sets, we calculated the total cost to qualify a single donor according to the optimal order of tests, suggested by the algorithm. Results. Applying the algorithm to the published literature revealed potential savings of 94.2% of the cost of screening a potential donor and 7.05% of the cost to qualify a single donor. In our cohort of 87 volunteers, 53 were not eligible for donation. Of 34 potential donors, 10 were disqualified due to abnormal lab tests. Applying our algorithm to optimize the order of tests, the average cost for screening a potential donor resulted in potential savings of 49.9% and a 21.3% savings in the cost to qualify a single donor. Conclusions. Improving the order and timing of the screening tests of potential FMT stool donors can decrease the costs by about 50% per subject. Highlights What is known: Fecal microbial transplantation (FMT) is the transfer of microbiome from healthy donors to patients. Fecal donors undergo multiple strict screening tests to exclude any transmissible disease. Screening tests of potential fecal donors is expensive and time consuming. FMT is the most efficient treatment for recurrent C difficile infection. What is new here: An algorithm to optimize the order of donors’ screening tests in terms of cost was defined. Optimizing the order tests can save nearly 50% in costs of screening a potential donor.