title: Analysis of potential causes of positive microbiological cultures in tissue donors.
abstract: The purpose of this statistical analysis is to determine what factors are the major contributors to bacterial contamination of recovered human cadaveric tissue. In this study we analyzed factors that could contribute to an increased bacterial bioburden from recovered tissues using the following independent variables: (1) the physical recovery environment; (2) recovery before or after an autopsy; (3) the length of time from death to recovery; (4) the cause of death; (5) the length of time to complete recovery; (6) the number of staff involved with the tissue recovery; and (7) the impact of organ and skin recovery on musculoskeletal contamination rates.In these analyses we used analysis of variance of main effects on data from seven tissue banks. The scale of the analysis included 1036 donors each having multiple cultures to better control for the inherent large variation in this type of data. We looked at several dependent variables. The dependent variable that was most useful was 'percent positive cultures'.The results of the combined data differed from analyzing the tissue banks individually. The differences in each tissue bank's procedures and techniques were responsible for most of the variability. Depending on how the data was organized, statistically significant increases in bioburden were seen with: (1) recoveries after autopsy; (2) location of the recovery; (3) length of time taken for a recovery; (4) size of the recovery team; and (5) the impact of organ and skin recovery on musculoskeletal contamination rates.In conclusion, statistical analysis of recovery cultures can be a powerful tool that may be used to indicate problems within any bank's recovery procedures or techniques.
authors.affiliation: Northern California Transplant Bank, Tissue Banks International, San Rafael, CA 94901, USA.
authors.forename: J H
authors.initials: JH
authors.lastname: Forsell
authors.forename: J
authors.initials: J
authors.lastname: Liesman