Although pulmonary MAC disease tends to have variable disease progression, predictors related to disease progression have not been fully established. With this background, we evaluated variable numbers of tandem repeats (VNTR) in 16 mycobacterial interspersed repetitive unit loci of M. avium clinical isolates from respiratory specimens. Cluster analysis of the VNTR data showed that M. avium isolates from progressive versus stable lung disease grouped together in distinct clusters. In further analysis of logistic regression modeling, the progression of pulmonary MAC disease could be predicted by using a best-fit model. The data demonstrate that disease progression of pulmonary MAC disease is significantly associated with the M. avium genotyping.
|Number of pages||5|
|Journal||Nihon rinsho. Japanese journal of clinical medicine|
|Publication status||Published - 2011 Aug 1|
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