Back

Second multistate outbreak of tuberculosis caused by a bone allograft product

Schildknecht, K. R.; Williams, P. M.; Schwartz, N. G.; Haddad, M. B.; Stewart, R. J.; Annambhotla, P.; Basavaraju, S. V.; Nabity, S. A.; Keh, C. E.; Calvet, H. M.; Zahn, M. M.; Beltran, R.; Cortez, A.; Lomeli, A.; Percak, J. M.; Gooze, L. L.; Coloma, M.; Shaw, T.; Davidson, P. J.; Smith, S. R.; Dickson, R. P.; Kaul, D. R.; Gonzalez, A. R.; Rodriguez, G.; Decimo, A.; Sanchez, A.; Armitige, L. Y.; Stapleton, J.; Lacassagne, M.; Brown, C.; Zheng, C.; Ali, J.; Wolfe, A. W.; Young, L. R.; Ariail, K.; Behm, H.; Jordan, H. T.; Spencer, M.; Nilsen, D. M.; Goradia, R.; Montoya Denison, B.; Burgos, M.;

2026-05-06 transplantation
10.64898/2026.04.29.26351868 medRxiv
Show abstract

Tuberculosis screening is not mandatory for prospective tissue donors. In 2021 and 2023, two different bone allograft products caused nationwide tuberculosis outbreaks. We assessed the morbidity and mortality of the second outbreak and reviewed donor and tissue screening to identify deficiencies. Thirty-six people residing in nine states received the product during spinal and dental procedures. Twenty-seven recipients had tuberculosis infection, 11 had microbiologic or imaging evidence of tuberculosis disease, and two died from tuberculosis within 12 months of outbreak detection. Another recipient died from tuberculosis nearly 3 years after product implantation. The bone donor died of pneumonia and septic shock. Polymerase chain reaction testing of the product before and after distribution did not detect Mycobacterium tuberculosis. Mycobacterial culture was not performed until after outbreak detection, when M. tuberculosis was isolated from 2 of 6 unused product units. This outbreak demonstrates persistent gaps in tissue transplant safety. Appropriate selection of donors and mycobacterial culture of donated tissues could reduce but not eliminate the risk of M. tuberculosis transmission. Therefore, it is important that clinicians monitor tissue recipients and promptly report adverse events to tissue establishments and health authorities.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.